�ݺ�ߣshows by User: DoKC

�ݺ�ߣshows by User: DoKC / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: DoKC / Wed, 22 Nov 2023 20:24:36 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: DoKC Distributed Vector Databases - What, Why, and How /slideshow/distributed-vector-databases-what-why-and-how/263780230 introvectordb-231122202436-d069831b
Distributed Vector Databases - What, Why, and How - Steve Pousty, VMware In the last two years, AI machine learning has exploded in prominence. One of the key concepts used in the modeling and storage of AI is vectors. Feeling like you should learn more and how you would use them in your data work? Wondering how you would run this distributed on Kubernetes? Then have I got a talk for you! We will start by explaining the concept of (embedding) vectors and how they are used in the AI life cycle. From there we will go into putting them into a database. We will cover the use cases where this technology makes sense. As opposed to an RDBMS, vector databases are more tightly focused and optimized for particular use cases. To ground this discussion in something more concrete, there will be hands-on demos throughout the talk. You will see the advantages to running distributed vector databases on Kubernetes infrastructure. Bring your favorite Kube infrastructure and leave with hands-on experience running AI infrastructure on Kubernetes.]]>
Distributed Vector Databases - What, Why, and How - Steve Pousty, VMware In the last two years, AI machine learning has exploded in prominence. One of the key concepts used in the modeling and storage of AI is vectors. Feeling like you should learn more and how you would use them in your data work? Wondering how you would run this distributed on Kubernetes? Then have I got a talk for you! We will start by explaining the concept of (embedding) vectors and how they are used in the AI life cycle. From there we will go into putting them into a database. We will cover the use cases where this technology makes sense. As opposed to an RDBMS, vector databases are more tightly focused and optimized for particular use cases. To ground this discussion in something more concrete, there will be hands-on demos throughout the talk. You will see the advantages to running distributed vector databases on Kubernetes infrastructure. Bring your favorite Kube infrastructure and leave with hands-on experience running AI infrastructure on Kubernetes.]]> Wed, 22 Nov 2023 20:24:36 GMT /slideshow/distributed-vector-databases-what-why-and-how/263780230 DoKC@slideshare.net(DoKC) Distributed Vector Databases - What, Why, and How DoKC Distributed Vector Databases - What, Why, and How - Steve Pousty, VMware In the last two years, AI machine learning has exploded in prominence. One of the key concepts used in the modeling and storage of AI is vectors. Feeling like you should learn more and how you would use them in your data work? Wondering how you would run this distributed on Kubernetes? Then have I got a talk for you! We will start by explaining the concept of (embedding) vectors and how they are used in the AI life cycle. From there we will go into putting them into a database. We will cover the use cases where this technology makes sense. As opposed to an RDBMS, vector databases are more tightly focused and optimized for particular use cases. To ground this discussion in something more concrete, there will be hands-on demos throughout the talk. You will see the advantages to running distributed vector databases on Kubernetes infrastructure. Bring your favorite Kube infrastructure and leave with hands-on experience running AI infrastructure on Kubernetes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introvectordb-231122202436-d069831b-thumbnail.jpg?width=120&height=120&fit=bounds" /> Distributed Vector Databases - What, Why, and How - Steve Pousty, VMware In the last two years, AI machine learning has exploded in prominence. One of the key concepts used in the modeling and storage of AI is vectors. Feeling like you should learn more and how you would use them in your data work? Wondering how you would run this distributed on Kubernetes? Then have I got a talk for you! We will start by explaining the concept of (embedding) vectors and how they are used in the AI life cycle. From there we will go into putting them into a database. We will cover the use cases where this technology makes sense. As opposed to an RDBMS, vector databases are more tightly focused and optimized for particular use cases. To ground this discussion in something more concrete, there will be hands-on demos throughout the talk. You will see the advantages to running distributed vector databases on Kubernetes infrastructure. Bring your favorite Kube infrastructure and leave with hands-on experience running AI infrastructure on Kubernetes.

Distributed Vector Databases - What, Why, and How from DoKC

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0 Is It Safe? Security Hardening for Databases Using Kubernetes Operators /slideshow/is-it-safe-security-hardening-for-databases-using-kubernetes-operators/263780131 isitsafe-security-hardening-for-databases-using-kubernetes-operators-dok-day-na-2023-231122201952-48ab8d49
Is It Safe? Security Hardening for Databases Using Kubernetes Operators - Robert Hodges, Altinity Thanks to the Operator Pattern, Kubernetes is now an outstanding platform to run databases. But to quote Marathon Man, "is it safe?" This talk is a top-level review of the database security problem in Kubernetes, standard ways that operators can mitigate threats, and a wallet-sized checklist of security features you should look for in any operator you use. Our talk is practical and focused on needs of Kubernetes developers. Join us!]]>
Is It Safe? Security Hardening for Databases Using Kubernetes Operators - Robert Hodges, Altinity Thanks to the Operator Pattern, Kubernetes is now an outstanding platform to run databases. But to quote Marathon Man, "is it safe?" This talk is a top-level review of the database security problem in Kubernetes, standard ways that operators can mitigate threats, and a wallet-sized checklist of security features you should look for in any operator you use. Our talk is practical and focused on needs of Kubernetes developers. Join us!]]> Wed, 22 Nov 2023 20:19:52 GMT /slideshow/is-it-safe-security-hardening-for-databases-using-kubernetes-operators/263780131 DoKC@slideshare.net(DoKC) Is It Safe? Security Hardening for Databases Using Kubernetes Operators DoKC Is It Safe? Security Hardening for Databases Using Kubernetes Operators - Robert Hodges, Altinity Thanks to the Operator Pattern, Kubernetes is now an outstanding platform to run databases. But to quote Marathon Man, "is it safe?" This talk is a top-level review of the database security problem in Kubernetes, standard ways that operators can mitigate threats, and a wallet-sized checklist of security features you should look for in any operator you use. Our talk is practical and focused on needs of Kubernetes developers. Join us! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/isitsafe-security-hardening-for-databases-using-kubernetes-operators-dok-day-na-2023-231122201952-48ab8d49-thumbnail.jpg?width=120&height=120&fit=bounds" /> Is It Safe? Security Hardening for Databases Using Kubernetes Operators - Robert Hodges, Altinity Thanks to the Operator Pattern, Kubernetes is now an outstanding platform to run databases. But to quote Marathon Man, "is it safe?" This talk is a top-level review of the database security problem in Kubernetes, standard ways that operators can mitigate threats, and a wallet-sized checklist of security features you should look for in any operator you use. Our talk is practical and focused on needs of Kubernetes developers. Join us!

Is It Safe? Security Hardening for Databases Using Kubernetes Operators from DoKC

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0 Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery /slideshow/stop-worrying-and-keep-querying-using-automated-multiregion-disaster-recovery/263734110 kubecon-dok-percona-elotlnova-dr-231121215320-6886ebf1
Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery - Shivani Gupta, Elotl & Sergey Pronin, Percona Disaster Recovery(DR) is critical for business continuity in the face of widespread outages taking down entire data centers or cloud provider regions. DR relies on deployment to multiple locations, data replication, monitoring for failure and failover. The process is typically manual involving several moving parts, and, even in the best case, involves some downtime for end-users. A multi-cluster K8s control plane presents the opportunity to automate the DR setup as well as the failure detection and failover. Such automation can dramatically reduce RTO and improve availability for end-users. This talk (and demo) describes one such setup using the open source Percona Operator for PostgreSQL and a multi-cluster K8s orchestrator. The orchestrator will use policy driven placement to replicate the entire workload on multiple clusters (in different regions), detect failure using pluggable logic, and do failover processing by promoting the standby as well as redirecting application traffic]]>
Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery - Shivani Gupta, Elotl & Sergey Pronin, Percona Disaster Recovery(DR) is critical for business continuity in the face of widespread outages taking down entire data centers or cloud provider regions. DR relies on deployment to multiple locations, data replication, monitoring for failure and failover. The process is typically manual involving several moving parts, and, even in the best case, involves some downtime for end-users. A multi-cluster K8s control plane presents the opportunity to automate the DR setup as well as the failure detection and failover. Such automation can dramatically reduce RTO and improve availability for end-users. This talk (and demo) describes one such setup using the open source Percona Operator for PostgreSQL and a multi-cluster K8s orchestrator. The orchestrator will use policy driven placement to replicate the entire workload on multiple clusters (in different regions), detect failure using pluggable logic, and do failover processing by promoting the standby as well as redirecting application traffic]]> Tue, 21 Nov 2023 21:53:19 GMT /slideshow/stop-worrying-and-keep-querying-using-automated-multiregion-disaster-recovery/263734110 DoKC@slideshare.net(DoKC) Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery DoKC Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery - Shivani Gupta, Elotl & Sergey Pronin, Percona Disaster Recovery(DR) is critical for business continuity in the face of widespread outages taking down entire data centers or cloud provider regions. DR relies on deployment to multiple locations, data replication, monitoring for failure and failover. The process is typically manual involving several moving parts, and, even in the best case, involves some downtime for end-users. A multi-cluster K8s control plane presents the opportunity to automate the DR setup as well as the failure detection and failover. Such automation can dramatically reduce RTO and improve availability for end-users. This talk (and demo) describes one such setup using the open source Percona Operator for PostgreSQL and a multi-cluster K8s orchestrator. The orchestrator will use policy driven placement to replicate the entire workload on multiple clusters (in different regions), detect failure using pluggable logic, and do failover processing by promoting the standby as well as redirecting application traffic <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kubecon-dok-percona-elotlnova-dr-231121215320-6886ebf1-thumbnail.jpg?width=120&height=120&fit=bounds" /> Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery - Shivani Gupta, Elotl & Sergey Pronin, Percona Disaster Recovery(DR) is critical for business continuity in the face of widespread outages taking down entire data centers or cloud provider regions. DR relies on deployment to multiple locations, data replication, monitoring for failure and failover. The process is typically manual involving several moving parts, and, even in the best case, involves some downtime for end-users. A multi-cluster K8s control plane presents the opportunity to automate the DR setup as well as the failure detection and failover. Such automation can dramatically reduce RTO and improve availability for end-users. This talk (and demo) describes one such setup using the open source Percona Operator for PostgreSQL and a multi-cluster K8s orchestrator. The orchestrator will use policy driven placement to replicate the entire workload on multiple clusters (in different regions), detect failure using pluggable logic, and do failover processing by promoting the standby as well as redirecting application traffic

Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery from DoKC

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0 Transforming Data Processing with Kubernetes: Journey Towards a Self-Serve Data Mesh /slideshow/transforming-data-processing-with-kubernetes-journey-towards-a-selfserve-data-mesh/263703666 dok-datameshandtransformingdataprocessingwithkubernetes-231121075811-2582b217
Transforming Data Processing with Kubernetes: Journey Towards a Self-Serve Data Mesh - Rakesh Subramanian Suresh & Jainik Vora, Intuit This presentation explores how Intuit uses Kubernetes with Domain-Driven Design and Data Mesh principles to transform its data processing landscape, crucial for its AI-driven expert platform. We will discuss the importance of clean data in developing robust generative artificial intelligence and how Intuit is addressing this through the creation of paved paths for data platforms running on Kubernetes. We'll examine the challenges and solutions in managing 100,000 data pipelines and 1000+ engineers interacting with data, highlighting the need for scalable solutions. We'll also discuss how Intuit uses Kubernetes to build its batch and stream processing platform, overcoming hurdles in data pipeline deployment, scheduling, orchestration, and dependency management. We'll conclude by emphasizing how this transformation, based on treating data as a product, has improved decision-making speed and accuracy across the organization and fostered a more efficient, collaborative data culture.]]>
Transforming Data Processing with Kubernetes: Journey Towards a Self-Serve Data Mesh - Rakesh Subramanian Suresh & Jainik Vora, Intuit This presentation explores how Intuit uses Kubernetes with Domain-Driven Design and Data Mesh principles to transform its data processing landscape, crucial for its AI-driven expert platform. We will discuss the importance of clean data in developing robust generative artificial intelligence and how Intuit is addressing this through the creation of paved paths for data platforms running on Kubernetes. We'll examine the challenges and solutions in managing 100,000 data pipelines and 1000+ engineers interacting with data, highlighting the need for scalable solutions. We'll also discuss how Intuit uses Kubernetes to build its batch and stream processing platform, overcoming hurdles in data pipeline deployment, scheduling, orchestration, and dependency management. We'll conclude by emphasizing how this transformation, based on treating data as a product, has improved decision-making speed and accuracy across the organization and fostered a more efficient, collaborative data culture.]]> Tue, 21 Nov 2023 07:58:11 GMT /slideshow/transforming-data-processing-with-kubernetes-journey-towards-a-selfserve-data-mesh/263703666 DoKC@slideshare.net(DoKC) Transforming Data Processing with Kubernetes: Journey Towards a Self-Serve Data Mesh DoKC Transforming Data Processing with Kubernetes: Journey Towards a Self-Serve Data Mesh - Rakesh Subramanian Suresh & Jainik Vora, Intuit This presentation explores how Intuit uses Kubernetes with Domain-Driven Design and Data Mesh principles to transform its data processing landscape, crucial for its AI-driven expert platform. We will discuss the importance of clean data in developing robust generative artificial intelligence and how Intuit is addressing this through the creation of paved paths for data platforms running on Kubernetes. We'll examine the challenges and solutions in managing 100,000 data pipelines and 1000+ engineers interacting with data, highlighting the need for scalable solutions. We'll also discuss how Intuit uses Kubernetes to build its batch and stream processing platform, overcoming hurdles in data pipeline deployment, scheduling, orchestration, and dependency management. We'll conclude by emphasizing how this transformation, based on treating data as a product, has improved decision-making speed and accuracy across the organization and fostered a more efficient, collaborative data culture. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dok-datameshandtransformingdataprocessingwithkubernetes-231121075811-2582b217-thumbnail.jpg?width=120&height=120&fit=bounds" /> Transforming Data Processing with Kubernetes: Journey Towards a Self-Serve Data Mesh - Rakesh Subramanian Suresh & Jainik Vora, Intuit This presentation explores how Intuit uses Kubernetes with Domain-Driven Design and Data Mesh principles to transform its data processing landscape, crucial for its AI-driven expert platform. We will discuss the importance of clean data in developing robust generative artificial intelligence and how Intuit is addressing this through the creation of paved paths for data platforms running on Kubernetes. We'll examine the challenges and solutions in managing 100,000 data pipelines and 1000+ engineers interacting with data, highlighting the need for scalable solutions. We'll also discuss how Intuit uses Kubernetes to build its batch and stream processing platform, overcoming hurdles in data pipeline deployment, scheduling, orchestration, and dependency management. We'll conclude by emphasizing how this transformation, based on treating data as a product, has improved decision-making speed and accuracy across the organization and fostered a more efficient, collaborative data culture.

Transforming Data Processing with Kubernetes: Journey Towards a Self-Serve Data Mesh from DoKC

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0 The State of Stateful on Kubernetes /slideshow/the-state-of-stateful-on-kubernetes/263703587 dokdaynastateofstateful-231121075625-5a73cc8e
The State of Stateful on Kubernetes - Stateful Workloads in Kubernetes: A Deep Dive - Kaslin Fields & Michelle Au, Google As a platform for distributed computing, Kubernetes enables users to run their workloads across machines. However data has gravity, and when workloads in Kubernetes have to share data with other applications, managing the application’s requirements can get more tricky. In this talk, we will explore what "Stateful" means from Kubernetes' perspective. We will discuss the different types of stateful workloads, and the challenges of deploying them on Kubernetes. We will also look at the features that exist in Kubernetes to support stateful workloads, as well as the features that are in the works. Key Takeaways: What is a stateful workload from Kubernetes’ perspective? What are the challenges of deploying stateful workloads on Kubernetes? What features exist in Kubernetes to support stateful workloads? What features are in the works to support stateful workloads better in the future?]]>
The State of Stateful on Kubernetes - Stateful Workloads in Kubernetes: A Deep Dive - Kaslin Fields & Michelle Au, Google As a platform for distributed computing, Kubernetes enables users to run their workloads across machines. However data has gravity, and when workloads in Kubernetes have to share data with other applications, managing the application’s requirements can get more tricky. In this talk, we will explore what "Stateful" means from Kubernetes' perspective. We will discuss the different types of stateful workloads, and the challenges of deploying them on Kubernetes. We will also look at the features that exist in Kubernetes to support stateful workloads, as well as the features that are in the works. Key Takeaways: What is a stateful workload from Kubernetes’ perspective? What are the challenges of deploying stateful workloads on Kubernetes? What features exist in Kubernetes to support stateful workloads? What features are in the works to support stateful workloads better in the future?]]> Tue, 21 Nov 2023 07:56:25 GMT /slideshow/the-state-of-stateful-on-kubernetes/263703587 DoKC@slideshare.net(DoKC) The State of Stateful on Kubernetes DoKC The State of Stateful on Kubernetes - Stateful Workloads in Kubernetes: A Deep Dive - Kaslin Fields & Michelle Au, Google As a platform for distributed computing, Kubernetes enables users to run their workloads across machines. However data has gravity, and when workloads in Kubernetes have to share data with other applications, managing the application’s requirements can get more tricky. In this talk, we will explore what "Stateful" means from Kubernetes' perspective. We will discuss the different types of stateful workloads, and the challenges of deploying them on Kubernetes. We will also look at the features that exist in Kubernetes to support stateful workloads, as well as the features that are in the works. Key Takeaways: What is a stateful workload from Kubernetes’ perspective? What are the challenges of deploying stateful workloads on Kubernetes? What features exist in Kubernetes to support stateful workloads? What features are in the works to support stateful workloads better in the future? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dokdaynastateofstateful-231121075625-5a73cc8e-thumbnail.jpg?width=120&height=120&fit=bounds" /> The State of Stateful on Kubernetes - Stateful Workloads in Kubernetes: A Deep Dive - Kaslin Fields & Michelle Au, Google As a platform for distributed computing, Kubernetes enables users to run their workloads across machines. However data has gravity, and when workloads in Kubernetes have to share data with other applications, managing the application’s requirements can get more tricky. In this talk, we will explore what "Stateful" means from Kubernetes' perspective. We will discuss the different types of stateful workloads, and the challenges of deploying them on Kubernetes. We will also look at the features that exist in Kubernetes to support stateful workloads, as well as the features that are in the works. Key Takeaways: What is a stateful workload from Kubernetes’ perspective? What are the challenges of deploying stateful workloads on Kubernetes? What features exist in Kubernetes to support stateful workloads? What features are in the works to support stateful workloads better in the future?

The State of Stateful on Kubernetes from DoKC

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0 Colocating Data Workloads and Web Services on Kubernetes to Improve Resource Utilization /DoKC/colocating-data-workloads-and-web-services-on-kubernetes-to-improve-resource-utilization colocatingdataworkloadsandwebservicesonkubernetestoimproveresourceutilization-231121075455-1369f06d
Colocating Data Workloads and Web Services on Kubernetes to Improve Resource Utilization - He Cao, ByteDance Recently, more and more data workloads are running on top of Kubernetes, such as ETL processes, Spark and Flink jobs, and more. These workloads typically exhibit high resource utilization and remain relatively stable over time. In contrast, web services often exhibit tidal patterns, characterized by significant fluctuations in resource utilization. The resource model of vanilla Kubernetes is static, which can lead to low resource utilization accumulated over 24 hours. In this talk, He will introduce how ByteDance uses Katalyst to colocate data workloads and online services on Kubernetes to improve resource utilization. In addition, He will explain how Katalyst ensures the QoS of these workloads through QoS-aware scheduling, service profiling, multi-dimensional resource isolation, real-time container resource adjustment, and more. In ByteDance, Katalyst has been deployed on 500,000+ nodes with tens of millions of cores, and has improved daily resource utilization from 20% to 60%.]]>
Colocating Data Workloads and Web Services on Kubernetes to Improve Resource Utilization - He Cao, ByteDance Recently, more and more data workloads are running on top of Kubernetes, such as ETL processes, Spark and Flink jobs, and more. These workloads typically exhibit high resource utilization and remain relatively stable over time. In contrast, web services often exhibit tidal patterns, characterized by significant fluctuations in resource utilization. The resource model of vanilla Kubernetes is static, which can lead to low resource utilization accumulated over 24 hours. In this talk, He will introduce how ByteDance uses Katalyst to colocate data workloads and online services on Kubernetes to improve resource utilization. In addition, He will explain how Katalyst ensures the QoS of these workloads through QoS-aware scheduling, service profiling, multi-dimensional resource isolation, real-time container resource adjustment, and more. In ByteDance, Katalyst has been deployed on 500,000+ nodes with tens of millions of cores, and has improved daily resource utilization from 20% to 60%.]]> Tue, 21 Nov 2023 07:54:55 GMT /DoKC/colocating-data-workloads-and-web-services-on-kubernetes-to-improve-resource-utilization DoKC@slideshare.net(DoKC) Colocating Data Workloads and Web Services on Kubernetes to Improve Resource Utilization DoKC Colocating Data Workloads and Web Services on Kubernetes to Improve Resource Utilization - He Cao, ByteDance Recently, more and more data workloads are running on top of Kubernetes, such as ETL processes, Spark and Flink jobs, and more. These workloads typically exhibit high resource utilization and remain relatively stable over time. In contrast, web services often exhibit tidal patterns, characterized by significant fluctuations in resource utilization. The resource model of vanilla Kubernetes is static, which can lead to low resource utilization accumulated over 24 hours. In this talk, He will introduce how ByteDance uses Katalyst to colocate data workloads and online services on Kubernetes to improve resource utilization. In addition, He will explain how Katalyst ensures the QoS of these workloads through QoS-aware scheduling, service profiling, multi-dimensional resource isolation, real-time container resource adjustment, and more. In ByteDance, Katalyst has been deployed on 500,000+ nodes with tens of millions of cores, and has improved daily resource utilization from 20% to 60%. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/colocatingdataworkloadsandwebservicesonkubernetestoimproveresourceutilization-231121075455-1369f06d-thumbnail.jpg?width=120&height=120&fit=bounds" /> Colocating Data Workloads and Web Services on Kubernetes to Improve Resource Utilization - He Cao, ByteDance Recently, more and more data workloads are running on top of Kubernetes, such as ETL processes, Spark and Flink jobs, and more. These workloads typically exhibit high resource utilization and remain relatively stable over time. In contrast, web services often exhibit tidal patterns, characterized by significant fluctuations in resource utilization. The resource model of vanilla Kubernetes is static, which can lead to low resource utilization accumulated over 24 hours. In this talk, He will introduce how ByteDance uses Katalyst to colocate data workloads and online services on Kubernetes to improve resource utilization. In addition, He will explain how Katalyst ensures the QoS of these workloads through QoS-aware scheduling, service profiling, multi-dimensional resource isolation, real-time container resource adjustment, and more. In ByteDance, Katalyst has been deployed on 500,000+ nodes with tens of millions of cores, and has improved daily resource utilization from 20% to 60%.

Colocating Data Workloads and Web Services on Kubernetes to Improve Resource Utilization from DoKC

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0 Make Your Kafka Cluster Production-Ready /slideshow/make-your-kafka-cluster-productionready/263703474 makeyourkafkaclusterproduction-ready-print-231121075352-5e72d927
Make Your Kafka Cluster Production-Ready - Jakub Scholz, Red Hat Kubernetes became the de-facto standard for running cloud-native applications. And more and more users turn to it also to run stateful applications such as Apache Kafka. While there are different tools such as Helm charts or operators which can get you quickly up and running, there is often still a long way to make sure the Kafka cluster is production-ready. This talk will take you through the main aspects you should consider for your Kafka cluster and will cover things such as resource management, storage, scheduling, rolling updates, or reliability. It will show you how to do it using the Strimzi operator, but the lessons learned will apply also to any other Kafka cluster. If you are interested in production-ready Apache Kafka on Kubernetes, this is a talk for you.]]>
Make Your Kafka Cluster Production-Ready - Jakub Scholz, Red Hat Kubernetes became the de-facto standard for running cloud-native applications. And more and more users turn to it also to run stateful applications such as Apache Kafka. While there are different tools such as Helm charts or operators which can get you quickly up and running, there is often still a long way to make sure the Kafka cluster is production-ready. This talk will take you through the main aspects you should consider for your Kafka cluster and will cover things such as resource management, storage, scheduling, rolling updates, or reliability. It will show you how to do it using the Strimzi operator, but the lessons learned will apply also to any other Kafka cluster. If you are interested in production-ready Apache Kafka on Kubernetes, this is a talk for you.]]> Tue, 21 Nov 2023 07:53:52 GMT /slideshow/make-your-kafka-cluster-productionready/263703474 DoKC@slideshare.net(DoKC) Make Your Kafka Cluster Production-Ready DoKC Make Your Kafka Cluster Production-Ready - Jakub Scholz, Red Hat Kubernetes became the de-facto standard for running cloud-native applications. And more and more users turn to it also to run stateful applications such as Apache Kafka. While there are different tools such as Helm charts or operators which can get you quickly up and running, there is often still a long way to make sure the Kafka cluster is production-ready. This talk will take you through the main aspects you should consider for your Kafka cluster and will cover things such as resource management, storage, scheduling, rolling updates, or reliability. It will show you how to do it using the Strimzi operator, but the lessons learned will apply also to any other Kafka cluster. If you are interested in production-ready Apache Kafka on Kubernetes, this is a talk for you. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/makeyourkafkaclusterproduction-ready-print-231121075352-5e72d927-thumbnail.jpg?width=120&height=120&fit=bounds" /> Make Your Kafka Cluster Production-Ready - Jakub Scholz, Red Hat Kubernetes became the de-facto standard for running cloud-native applications. And more and more users turn to it also to run stateful applications such as Apache Kafka. While there are different tools such as Helm charts or operators which can get you quickly up and running, there is often still a long way to make sure the Kafka cluster is production-ready. This talk will take you through the main aspects you should consider for your Kafka cluster and will cover things such as resource management, storage, scheduling, rolling updates, or reliability. It will show you how to do it using the Strimzi operator, but the lessons learned will apply also to any other Kafka cluster. If you are interested in production-ready Apache Kafka on Kubernetes, this is a talk for you.

Make Your Kafka Cluster Production-Ready from DoKC

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0 Dynamic Large Scale Spark on Kubernetes: Empowering the Community with Argo Workflows and Argo Events /slideshow/dynamic-large-scale-spark-on-kubernetes-empowering-the-community-with-argo-workflows-and-argo-events/263703405 dokdayna-w471abfinalv2-231121075224-07d0daf0
Dynamic Large Scale Spark on Kubernetes: Empowering the Community with Argo Workflows and Argo Events - Ovidiu Valeanu, AWS & Vara Bonthu, Amazon Are you eager to build and manage large-scale Spark clusters on Kubernetes for powerful data processing? Whether you are starting from scratch or considering migrating Spark workloads from existing Hadoop clusters to Kubernetes, the challenges of configuring storage, compute, networking, and optimizing job scheduling can be daunting. Join us as we unveil the best practices to construct a scalable Spark clusters on Kubernetes, with a special emphasis on leveraging Argo Workflows and Argo Events. In this talk, we will guide you through the journey of building highly scalable Spark clusters on Kubernetes, using the most popular open-source tools. We will showcase how to harness the potential of Argo Workflows and Argo Events for event-driven job scheduling, enabling efficient resource utilization and seamless scalability. By integrating these powerful tools, you will gain better control and flexibility for executing Spark jobs on Kubernetes.]]>
Dynamic Large Scale Spark on Kubernetes: Empowering the Community with Argo Workflows and Argo Events - Ovidiu Valeanu, AWS & Vara Bonthu, Amazon Are you eager to build and manage large-scale Spark clusters on Kubernetes for powerful data processing? Whether you are starting from scratch or considering migrating Spark workloads from existing Hadoop clusters to Kubernetes, the challenges of configuring storage, compute, networking, and optimizing job scheduling can be daunting. Join us as we unveil the best practices to construct a scalable Spark clusters on Kubernetes, with a special emphasis on leveraging Argo Workflows and Argo Events. In this talk, we will guide you through the journey of building highly scalable Spark clusters on Kubernetes, using the most popular open-source tools. We will showcase how to harness the potential of Argo Workflows and Argo Events for event-driven job scheduling, enabling efficient resource utilization and seamless scalability. By integrating these powerful tools, you will gain better control and flexibility for executing Spark jobs on Kubernetes.]]> Tue, 21 Nov 2023 07:52:23 GMT /slideshow/dynamic-large-scale-spark-on-kubernetes-empowering-the-community-with-argo-workflows-and-argo-events/263703405 DoKC@slideshare.net(DoKC) Dynamic Large Scale Spark on Kubernetes: Empowering the Community with Argo Workflows and Argo Events DoKC Dynamic Large Scale Spark on Kubernetes: Empowering the Community with Argo Workflows and Argo Events - Ovidiu Valeanu, AWS & Vara Bonthu, Amazon Are you eager to build and manage large-scale Spark clusters on Kubernetes for powerful data processing? Whether you are starting from scratch or considering migrating Spark workloads from existing Hadoop clusters to Kubernetes, the challenges of configuring storage, compute, networking, and optimizing job scheduling can be daunting. Join us as we unveil the best practices to construct a scalable Spark clusters on Kubernetes, with a special emphasis on leveraging Argo Workflows and Argo Events. In this talk, we will guide you through the journey of building highly scalable Spark clusters on Kubernetes, using the most popular open-source tools. We will showcase how to harness the potential of Argo Workflows and Argo Events for event-driven job scheduling, enabling efficient resource utilization and seamless scalability. By integrating these powerful tools, you will gain better control and flexibility for executing Spark jobs on Kubernetes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dokdayna-w471abfinalv2-231121075224-07d0daf0-thumbnail.jpg?width=120&height=120&fit=bounds" /> Dynamic Large Scale Spark on Kubernetes: Empowering the Community with Argo Workflows and Argo Events - Ovidiu Valeanu, AWS & Vara Bonthu, Amazon Are you eager to build and manage large-scale Spark clusters on Kubernetes for powerful data processing? Whether you are starting from scratch or considering migrating Spark workloads from existing Hadoop clusters to Kubernetes, the challenges of configuring storage, compute, networking, and optimizing job scheduling can be daunting. Join us as we unveil the best practices to construct a scalable Spark clusters on Kubernetes, with a special emphasis on leveraging Argo Workflows and Argo Events. In this talk, we will guide you through the journey of building highly scalable Spark clusters on Kubernetes, using the most popular open-source tools. We will showcase how to harness the potential of Argo Workflows and Argo Events for event-driven job scheduling, enabling efficient resource utilization and seamless scalability. By integrating these powerful tools, you will gain better control and flexibility for executing Spark jobs on Kubernetes.

Dynamic Large Scale Spark on Kubernetes: Empowering the Community with Argo Workflows and Argo Events from DoKC

]]> 59 0 https://cdn.slidesharecdn.com/ss_thumbnails/dokdayna-w471abfinalv2-231121075224-07d0daf0-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Run PostgreSQL in Warp Speed Using NVMe/TCP in the Cloud /slideshow/run-postgresql-in-warp-speed-using-nvmetcp-in-the-cloud/263703228 runpostgresqlinwarpspeedusingnvmetcpinthecloud-231121074755-b093f7bc
Run PostgreSQL in Warp Speed Using NVMe/TCP in the Cloud - Sagy Volkov, Lightbits PostgreSQL as a SQL engine can accommodate a very high-transaction rate, but as your data grows and the number of connections and queries increases, there is a challenge for the storage to keep up with the SQL engine. To the rescue comes NVMe over TCP (or NVMe/TCP). Developed by Lightbits Labs in 2016 and donated to the Linux community, it is the next evaluation of using NVMe based storage over TCP Fabric. NVMe/TCP simplifies how you interact with remote NVMe devices (targets) and allows your PostgreSQL storage to consume fast storage very easily. In this session I will explain the core concept of the NVMe/TCP protocol, current storage providers that can use it, how you can consume it in Kubernetes (super easy), and discuss the possibilities of using NVMe/TCP in the cloud. The session will also include a performance comparison of a few storage that are available in AWS and even a live demo of how PostgreSQL can run super fast - warp speed fast - in AWS.]]>
Run PostgreSQL in Warp Speed Using NVMe/TCP in the Cloud - Sagy Volkov, Lightbits PostgreSQL as a SQL engine can accommodate a very high-transaction rate, but as your data grows and the number of connections and queries increases, there is a challenge for the storage to keep up with the SQL engine. To the rescue comes NVMe over TCP (or NVMe/TCP). Developed by Lightbits Labs in 2016 and donated to the Linux community, it is the next evaluation of using NVMe based storage over TCP Fabric. NVMe/TCP simplifies how you interact with remote NVMe devices (targets) and allows your PostgreSQL storage to consume fast storage very easily. In this session I will explain the core concept of the NVMe/TCP protocol, current storage providers that can use it, how you can consume it in Kubernetes (super easy), and discuss the possibilities of using NVMe/TCP in the cloud. The session will also include a performance comparison of a few storage that are available in AWS and even a live demo of how PostgreSQL can run super fast - warp speed fast - in AWS.]]> Tue, 21 Nov 2023 07:47:55 GMT /slideshow/run-postgresql-in-warp-speed-using-nvmetcp-in-the-cloud/263703228 DoKC@slideshare.net(DoKC) Run PostgreSQL in Warp Speed Using NVMe/TCP in the Cloud DoKC Run PostgreSQL in Warp Speed Using NVMe/TCP in the Cloud - Sagy Volkov, Lightbits PostgreSQL as a SQL engine can accommodate a very high-transaction rate, but as your data grows and the number of connections and queries increases, there is a challenge for the storage to keep up with the SQL engine. To the rescue comes NVMe over TCP (or NVMe/TCP). Developed by Lightbits Labs in 2016 and donated to the Linux community, it is the next evaluation of using NVMe based storage over TCP Fabric. NVMe/TCP simplifies how you interact with remote NVMe devices (targets) and allows your PostgreSQL storage to consume fast storage very easily. In this session I will explain the core concept of the NVMe/TCP protocol, current storage providers that can use it, how you can consume it in Kubernetes (super easy), and discuss the possibilities of using NVMe/TCP in the cloud. The session will also include a performance comparison of a few storage that are available in AWS and even a live demo of how PostgreSQL can run super fast - warp speed fast - in AWS. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/runpostgresqlinwarpspeedusingnvmetcpinthecloud-231121074755-b093f7bc-thumbnail.jpg?width=120&height=120&fit=bounds" /> Run PostgreSQL in Warp Speed Using NVMe/TCP in the Cloud - Sagy Volkov, Lightbits PostgreSQL as a SQL engine can accommodate a very high-transaction rate, but as your data grows and the number of connections and queries increases, there is a challenge for the storage to keep up with the SQL engine. To the rescue comes NVMe over TCP (or NVMe/TCP). Developed by Lightbits Labs in 2016 and donated to the Linux community, it is the next evaluation of using NVMe based storage over TCP Fabric. NVMe/TCP simplifies how you interact with remote NVMe devices (targets) and allows your PostgreSQL storage to consume fast storage very easily. In this session I will explain the core concept of the NVMe/TCP protocol, current storage providers that can use it, how you can consume it in Kubernetes (super easy), and discuss the possibilities of using NVMe/TCP in the cloud. The session will also include a performance comparison of a few storage that are available in AWS and even a live demo of how PostgreSQL can run super fast - warp speed fast - in AWS.

Run PostgreSQL in Warp Speed Using NVMe/TCP in the Cloud from DoKC

]]> 40 0 https://cdn.slidesharecdn.com/ss_thumbnails/runpostgresqlinwarpspeedusingnvmetcpinthecloud-231121074755-b093f7bc-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 The Kubernetes Native Database /slideshow/the-kubernetes-native-database/261718868 k8snativedatabase-231003152753-e3578799
Link: https://www.youtube.com/watch?v=D8kJCvsHD9Q&list=PLHgdNuGxrJt04Fwaip9aDYvXrbRSmc5HZ&index=12 https://go.dok.community/slack https://dok.community/ From DoK Day NA 2022 (https://www.youtube.com/watch?v=YWTa-DiVljY&list=PLHgdNuGxrJt04Fwaip9aDYvXrbRSmc5HZ) In the software industry we’re fond of terms that define major trends, like “cloud native”, “Kubernetes native” and “serverless”. As more and more organizations move stateful workloads to Kubernetes, we’ve started to see these terms applied to data infrastructure, where they can get overtaken by marketing hype unless we work to define them. In this talk, we’ll examine two different databases, TiDB and Apache Cassandra, in order to identify what it means for a database to be Kubernetes native and why it matters. We’ll look at points including: - The differences between cloud native, Kubernetes native, and serverless - How databases become Kubernetes native - Benefits of Kubernetes native databases - How Kubernetes can better support databases ----- Jeff has worked as a software engineer and architect in multiple industries and as a developer advocate helping engineers get up to speed on Apache Cassandra. He's involved in multiple open source projects in the Cassandra and Kubernetes ecosystems including Stargate and K8ssandra. Jeff is the author of the O’Reilly books “Cassandra: The Definitive Guide" and “Managing Cloud Native Data on Kubernetes".]]>
Link: https://www.youtube.com/watch?v=D8kJCvsHD9Q&list=PLHgdNuGxrJt04Fwaip9aDYvXrbRSmc5HZ&index=12 https://go.dok.community/slack https://dok.community/ From DoK Day NA 2022 (https://www.youtube.com/watch?v=YWTa-DiVljY&list=PLHgdNuGxrJt04Fwaip9aDYvXrbRSmc5HZ) In the software industry we’re fond of terms that define major trends, like “cloud native”, “Kubernetes native” and “serverless”. As more and more organizations move stateful workloads to Kubernetes, we’ve started to see these terms applied to data infrastructure, where they can get overtaken by marketing hype unless we work to define them. In this talk, we’ll examine two different databases, TiDB and Apache Cassandra, in order to identify what it means for a database to be Kubernetes native and why it matters. We’ll look at points including: - The differences between cloud native, Kubernetes native, and serverless - How databases become Kubernetes native - Benefits of Kubernetes native databases - How Kubernetes can better support databases ----- Jeff has worked as a software engineer and architect in multiple industries and as a developer advocate helping engineers get up to speed on Apache Cassandra. He's involved in multiple open source projects in the Cassandra and Kubernetes ecosystems including Stargate and K8ssandra. Jeff is the author of the O’Reilly books “Cassandra: The Definitive Guide" and “Managing Cloud Native Data on Kubernetes".]]> Tue, 03 Oct 2023 15:27:53 GMT /slideshow/the-kubernetes-native-database/261718868 DoKC@slideshare.net(DoKC) The Kubernetes Native Database DoKC Link: https://www.youtube.com/watch?v=D8kJCvsHD9Q&list=PLHgdNuGxrJt04Fwaip9aDYvXrbRSmc5HZ&index=12 https://go.dok.community/slack https://dok.community/ From DoK Day NA 2022 (https://www.youtube.com/watch?v=YWTa-DiVljY&list=PLHgdNuGxrJt04Fwaip9aDYvXrbRSmc5HZ) In the software industry we’re fond of terms that define major trends, like “cloud native”, “Kubernetes native” and “serverless”. As more and more organizations move stateful workloads to Kubernetes, we’ve started to see these terms applied to data infrastructure, where they can get overtaken by marketing hype unless we work to define them. In this talk, we’ll examine two different databases, TiDB and Apache Cassandra, in order to identify what it means for a database to be Kubernetes native and why it matters. We’ll look at points including: - The differences between cloud native, Kubernetes native, and serverless - How databases become Kubernetes native - Benefits of Kubernetes native databases - How Kubernetes can better support databases ----- Jeff has worked as a software engineer and architect in multiple industries and as a developer advocate helping engineers get up to speed on Apache Cassandra. He's involved in multiple open source projects in the Cassandra and Kubernetes ecosystems including Stargate and K8ssandra. Jeff is the author of the O’Reilly books “Cassandra: The Definitive Guide" and “Managing Cloud Native Data on Kubernetes". <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/k8snativedatabase-231003152753-e3578799-thumbnail.jpg?width=120&height=120&fit=bounds" /> Link: https://www.youtube.com/watch?v=D8kJCvsHD9Q&list=PLHgdNuGxrJt04Fwaip9aDYvXrbRSmc5HZ&index=12 https://go.dok.community/slack https://dok.community/ From DoK Day NA 2022 (https://www.youtube.com/watch?v=YWTa-DiVljY&list=PLHgdNuGxrJt04Fwaip9aDYvXrbRSmc5HZ) In the software industry we’re fond of terms that define major trends, like “cloud native”, “Kubernetes native” and “serverless”. As more and more organizations move stateful workloads to Kubernetes, we’ve started to see these terms applied to data infrastructure, where they can get overtaken by marketing hype unless we work to define them. In this talk, we’ll examine two different databases, TiDB and Apache Cassandra, in order to identify what it means for a database to be Kubernetes native and why it matters. We’ll look at points including: - The differences between cloud native, Kubernetes native, and serverless - How databases become Kubernetes native - Benefits of Kubernetes native databases - How Kubernetes can better support databases ----- Jeff has worked as a software engineer and architect in multiple industries and as a developer advocate helping engineers get up to speed on Apache Cassandra. He's involved in multiple open source projects in the Cassandra and Kubernetes ecosystems including Stargate and K8ssandra. Jeff is the author of the O’Reilly books “Cassandra: The Definitive Guide" and “Managing Cloud Native Data on Kubernetes".

The Kubernetes Native Database from DoKC

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0 ING Data Services hosted on ICHP DoK Amsterdam 2023 /slideshow/ing-data-services-hosted-on-ichp-dok-amsterdam-2023/257617383 ingdataserviceshostedonichpdokamsterdam2023-230429002926-6dfffacf
An explanation of how ING deals with local persistence at scale in secure and compliant manner for Elastic and Prometheus workloads today and other Data Services in the future. In more detail we will elaborate on the following topics How we solve local persistence Type of workloads now and in the future Typical requirements for a banking environment Automation Scale Resilience Security / Compliance Service offering / demarcation About Tor and Luuk: Tor and Luuk are experienced engineers working at ING for over 10 years and working in the Kubernetes area for the last 5 years. They are specialized in and responsible for the Data Services OpenShift clusters in ING and have a strong focus on resilience, automation and security.]]>
An explanation of how ING deals with local persistence at scale in secure and compliant manner for Elastic and Prometheus workloads today and other Data Services in the future. In more detail we will elaborate on the following topics How we solve local persistence Type of workloads now and in the future Typical requirements for a banking environment Automation Scale Resilience Security / Compliance Service offering / demarcation About Tor and Luuk: Tor and Luuk are experienced engineers working at ING for over 10 years and working in the Kubernetes area for the last 5 years. They are specialized in and responsible for the Data Services OpenShift clusters in ING and have a strong focus on resilience, automation and security.]]> Sat, 29 Apr 2023 00:29:26 GMT /slideshow/ing-data-services-hosted-on-ichp-dok-amsterdam-2023/257617383 DoKC@slideshare.net(DoKC) ING Data Services hosted on ICHP DoK Amsterdam 2023 DoKC An explanation of how ING deals with local persistence at scale in secure and compliant manner for Elastic and Prometheus workloads today and other Data Services in the future. In more detail we will elaborate on the following topics How we solve local persistence Type of workloads now and in the future Typical requirements for a banking environment Automation Scale Resilience Security / Compliance Service offering / demarcation About Tor and Luuk: Tor and Luuk are experienced engineers working at ING for over 10 years and working in the Kubernetes area for the last 5 years. They are specialized in and responsible for the Data Services OpenShift clusters in ING and have a strong focus on resilience, automation and security. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ingdataserviceshostedonichpdokamsterdam2023-230429002926-6dfffacf-thumbnail.jpg?width=120&height=120&fit=bounds" /> An explanation of how ING deals with local persistence at scale in secure and compliant manner for Elastic and Prometheus workloads today and other Data Services in the future. In more detail we will elaborate on the following topics How we solve local persistence Type of workloads now and in the future Typical requirements for a banking environment Automation Scale Resilience Security / Compliance Service offering / demarcation About Tor and Luuk: Tor and Luuk are experienced engineers working at ING for over 10 years and working in the Kubernetes area for the last 5 years. They are specialized in and responsible for the Data Services OpenShift clusters in ING and have a strong focus on resilience, automation and security.

ING Data Services hosted on ICHP DoK Amsterdam 2023 from DoKC

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0 Implementing data and databases on K8s within the Dutch government /slideshow/implementing-data-and-databases-on-k8s-within-the-dutch-government/257617376 implementingdataanddatabasesonk8swithinthedutchgovernment-230429002756-d4ee966a
A small walkthrough of projects within the dutch government running Data(bases) on OpenShift. This talk shares success stories, provides a proven recipe to `get it done` and debunks some of the FUD. About Sebastiaan: I have always been a weird DBA, trying to combine Databases with out-of-the-box thinking and a DevOps mindset. Around 2016 I fell in love with both Postgres and Kubernetes, and I then committed my life to enabling Dutch organisations with running their Database workloads CloudNative. Over the last few years I worked as a private contractor for 2 large government agencies doing exactly that, and I want to share my and others (success stories) hoping to enable and inspire Data on Kubernetes adoption.]]>
A small walkthrough of projects within the dutch government running Data(bases) on OpenShift. This talk shares success stories, provides a proven recipe to `get it done` and debunks some of the FUD. About Sebastiaan: I have always been a weird DBA, trying to combine Databases with out-of-the-box thinking and a DevOps mindset. Around 2016 I fell in love with both Postgres and Kubernetes, and I then committed my life to enabling Dutch organisations with running their Database workloads CloudNative. Over the last few years I worked as a private contractor for 2 large government agencies doing exactly that, and I want to share my and others (success stories) hoping to enable and inspire Data on Kubernetes adoption.]]> Sat, 29 Apr 2023 00:27:56 GMT /slideshow/implementing-data-and-databases-on-k8s-within-the-dutch-government/257617376 DoKC@slideshare.net(DoKC) Implementing data and databases on K8s within the Dutch government DoKC A small walkthrough of projects within the dutch government running Data(bases) on OpenShift. This talk shares success stories, provides a proven recipe to `get it done` and debunks some of the FUD. About Sebastiaan: I have always been a weird DBA, trying to combine Databases with out-of-the-box thinking and a DevOps mindset. Around 2016 I fell in love with both Postgres and Kubernetes, and I then committed my life to enabling Dutch organisations with running their Database workloads CloudNative. Over the last few years I worked as a private contractor for 2 large government agencies doing exactly that, and I want to share my and others (success stories) hoping to enable and inspire Data on Kubernetes adoption. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/implementingdataanddatabasesonk8swithinthedutchgovernment-230429002756-d4ee966a-thumbnail.jpg?width=120&height=120&fit=bounds" /> A small walkthrough of projects within the dutch government running Data(bases) on OpenShift. This talk shares success stories, provides a proven recipe to `get it done` and debunks some of the FUD. About Sebastiaan: I have always been a weird DBA, trying to combine Databases with out-of-the-box thinking and a DevOps mindset. Around 2016 I fell in love with both Postgres and Kubernetes, and I then committed my life to enabling Dutch organisations with running their Database workloads CloudNative. Over the last few years I worked as a private contractor for 2 large government agencies doing exactly that, and I want to share my and others (success stories) hoping to enable and inspire Data on Kubernetes adoption.

Implementing data and databases on K8s within the Dutch government from DoKC

]]> 70 0 https://cdn.slidesharecdn.com/ss_thumbnails/implementingdataanddatabasesonk8swithinthedutchgovernment-230429002756-d4ee966a-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 StatefulSets in K8s - DoK Talks #154 /slideshow/statefulsets-in-k8s-dok-talks-154/254431913 statefulsets-221123100453-512bf5f4
https://go.dok.community/slack https://dok.community/ Link: https://youtu.be/n_thXwyJNSU ABSTRACT OF THE TALK Deploying Stateless applications is easy but this is not the case for Stateful applications. StatefulSets are the K8s API object that helps to manage stateful application. Learn about what Stateful sets are, how to create, How it differs from Deployments. KEY TAKE-AWAYS FROM THE TALK This talk is focused on basics of StatefulSet, how StatefulSet differs from Deployments, How to manage Stateful app using StatefulSet]]>
https://go.dok.community/slack https://dok.community/ Link: https://youtu.be/n_thXwyJNSU ABSTRACT OF THE TALK Deploying Stateless applications is easy but this is not the case for Stateful applications. StatefulSets are the K8s API object that helps to manage stateful application. Learn about what Stateful sets are, how to create, How it differs from Deployments. KEY TAKE-AWAYS FROM THE TALK This talk is focused on basics of StatefulSet, how StatefulSet differs from Deployments, How to manage Stateful app using StatefulSet]]> Wed, 23 Nov 2022 10:04:53 GMT /slideshow/statefulsets-in-k8s-dok-talks-154/254431913 DoKC@slideshare.net(DoKC) StatefulSets in K8s - DoK Talks #154 DoKC https://go.dok.community/slack https://dok.community/ Link: https://youtu.be/n_thXwyJNSU ABSTRACT OF THE TALK Deploying Stateless applications is easy but this is not the case for Stateful applications. StatefulSets are the K8s API object that helps to manage stateful application. Learn about what Stateful sets are, how to create, How it differs from Deployments. KEY TAKE-AWAYS FROM THE TALK This talk is focused on basics of StatefulSet, how StatefulSet differs from Deployments, How to manage Stateful app using StatefulSet <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/statefulsets-221123100453-512bf5f4-thumbnail.jpg?width=120&height=120&fit=bounds" /> https://go.dok.community/slack https://dok.community/ Link: https://youtu.be/n_thXwyJNSU ABSTRACT OF THE TALK Deploying Stateless applications is easy but this is not the case for Stateful applications. StatefulSets are the K8s API object that helps to manage stateful application. Learn about what Stateful sets are, how to create, How it differs from Deployments. KEY TAKE-AWAYS FROM THE TALK This talk is focused on basics of StatefulSet, how StatefulSet differs from Deployments, How to manage Stateful app using StatefulSet

StatefulSets in K8s - DoK Talks #154 from DoKC

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0 Running PostgreSQL in Kubernetes: from day 0 to day 2 with CloudNativePG - DoK #152 /slideshow/running-postgresql-in-kubernetes-from-day-0-to-day-2-with-cloudnativepg-dok-152/253223413 dok152-runningpostgresqlinkubernetesfromday0today2withcloudnativepg-220928092517-f44df73d
Link: https://youtu.be/cegd3Exg05w https://go.dok.community/slack https://dok.community/ Gabriele Bartolini - Vice President/CTO of Cloud Native and Kubernetes, EDB ABSTRACT OF THE TALK Imagine this: you have a virtual infrastructure based on Kubernetes, made up of virtual data centers, possibly spread across multiple Kubernetes clusters and regions. Your infrastructure could even be hosted on premises or on different cloud service providers. Infrastructure as Code is a requirement. You’ve been tasked to run Postgres databases, alongside your applications. The good news is that you can leverage a fully open source stack with Kubernetes, PostgreSQL and the CloudNativePG operator, and deploy your Postgres database in the same way you deploy applications. Join me in this webinar to discover the key role that you have to make this succeed, starting from day 0 through day 2 operations. I’ll share some examples and best practices for running Postgres databases in Kubernetes, before peeking at the new features we are developing for the months to come.]]>
Link: https://youtu.be/cegd3Exg05w https://go.dok.community/slack https://dok.community/ Gabriele Bartolini - Vice President/CTO of Cloud Native and Kubernetes, EDB ABSTRACT OF THE TALK Imagine this: you have a virtual infrastructure based on Kubernetes, made up of virtual data centers, possibly spread across multiple Kubernetes clusters and regions. Your infrastructure could even be hosted on premises or on different cloud service providers. Infrastructure as Code is a requirement. You’ve been tasked to run Postgres databases, alongside your applications. The good news is that you can leverage a fully open source stack with Kubernetes, PostgreSQL and the CloudNativePG operator, and deploy your Postgres database in the same way you deploy applications. Join me in this webinar to discover the key role that you have to make this succeed, starting from day 0 through day 2 operations. I’ll share some examples and best practices for running Postgres databases in Kubernetes, before peeking at the new features we are developing for the months to come.]]> Wed, 28 Sep 2022 09:25:17 GMT /slideshow/running-postgresql-in-kubernetes-from-day-0-to-day-2-with-cloudnativepg-dok-152/253223413 DoKC@slideshare.net(DoKC) Running PostgreSQL in Kubernetes: from day 0 to day 2 with CloudNativePG - DoK #152 DoKC Link: https://youtu.be/cegd3Exg05w https://go.dok.community/slack https://dok.community/ Gabriele Bartolini - Vice President/CTO of Cloud Native and Kubernetes, EDB ABSTRACT OF THE TALK Imagine this: you have a virtual infrastructure based on Kubernetes, made up of virtual data centers, possibly spread across multiple Kubernetes clusters and regions. Your infrastructure could even be hosted on premises or on different cloud service providers. Infrastructure as Code is a requirement. You’ve been tasked to run Postgres databases, alongside your applications. The good news is that you can leverage a fully open source stack with Kubernetes, PostgreSQL and the CloudNativePG operator, and deploy your Postgres database in the same way you deploy applications. Join me in this webinar to discover the key role that you have to make this succeed, starting from day 0 through day 2 operations. I’ll share some examples and best practices for running Postgres databases in Kubernetes, before peeking at the new features we are developing for the months to come. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dok152-runningpostgresqlinkubernetesfromday0today2withcloudnativepg-220928092517-f44df73d-thumbnail.jpg?width=120&height=120&fit=bounds" /> Link: https://youtu.be/cegd3Exg05w https://go.dok.community/slack https://dok.community/ Gabriele Bartolini - Vice President/CTO of Cloud Native and Kubernetes, EDB ABSTRACT OF THE TALK Imagine this: you have a virtual infrastructure based on Kubernetes, made up of virtual data centers, possibly spread across multiple Kubernetes clusters and regions. Your infrastructure could even be hosted on premises or on different cloud service providers. Infrastructure as Code is a requirement. You’ve been tasked to run Postgres databases, alongside your applications. The good news is that you can leverage a fully open source stack with Kubernetes, PostgreSQL and the CloudNativePG operator, and deploy your Postgres database in the same way you deploy applications. Join me in this webinar to discover the key role that you have to make this succeed, starting from day 0 through day 2 operations. I’ll share some examples and best practices for running Postgres databases in Kubernetes, before peeking at the new features we are developing for the months to come.

Running PostgreSQL in Kubernetes: from day 0 to day 2 with CloudNativePG - DoK #152 from DoKC

]]> 587 0 https://cdn.slidesharecdn.com/ss_thumbnails/dok152-runningpostgresqlinkubernetesfromday0today2withcloudnativepg-220928092517-f44df73d-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Analytics with Apache Superset and ClickHouse - DoK Talks #151 /slideshow/analytics-with-apache-superset-and-clickhouse-dok-talks-151/253131864 analyticswithapachesupersetandclickhouse-220923094727-02c7795a
Link: https://youtu.be/Y-1uFVKDfgY https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK This talk concerns performing analytical tasks with Apache Superset with ClickHouse as the data backend. ClickHouse is a super fast database for analytical tasks, and Apache Superset is an Apache Software foundation project meant for data visualization and exploration. Performing analytical tasks using this combo is super fast since both the software are designed to be scalable and capable of handling data of petabyte scale. ]]>
Link: https://youtu.be/Y-1uFVKDfgY https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK This talk concerns performing analytical tasks with Apache Superset with ClickHouse as the data backend. ClickHouse is a super fast database for analytical tasks, and Apache Superset is an Apache Software foundation project meant for data visualization and exploration. Performing analytical tasks using this combo is super fast since both the software are designed to be scalable and capable of handling data of petabyte scale. ]]> Fri, 23 Sep 2022 09:47:27 GMT /slideshow/analytics-with-apache-superset-and-clickhouse-dok-talks-151/253131864 DoKC@slideshare.net(DoKC) Analytics with Apache Superset and ClickHouse - DoK Talks #151 DoKC Link: https://youtu.be/Y-1uFVKDfgY https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK This talk concerns performing analytical tasks with Apache Superset with ClickHouse as the data backend. ClickHouse is a super fast database for analytical tasks, and Apache Superset is an Apache Software foundation project meant for data visualization and exploration. Performing analytical tasks using this combo is super fast since both the software are designed to be scalable and capable of handling data of petabyte scale. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/analyticswithapachesupersetandclickhouse-220923094727-02c7795a-thumbnail.jpg?width=120&height=120&fit=bounds" /> Link: https://youtu.be/Y-1uFVKDfgY https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK This talk concerns performing analytical tasks with Apache Superset with ClickHouse as the data backend. ClickHouse is a super fast database for analytical tasks, and Apache Superset is an Apache Software foundation project meant for data visualization and exploration. Performing analytical tasks using this combo is super fast since both the software are designed to be scalable and capable of handling data of petabyte scale.

Analytics with Apache Superset and ClickHouse - DoK Talks #151 from DoKC

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0 Overcoming challenges with protecting and migrating data in multi-cloud K8s environments - DoK Talks #149 /DoKC/overcoming-challenges-with-protecting-and-migrating-data-in-multicloud-k8s-environments-dok-talks-149 managedkubernetescomparison-220916120412-e98f793c
Link: https://youtu.be/EFaRyl4HmmE https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK If you are running or planning a multi-cloud or even a multi-cluster environment, there are several considerations in implementing a data protection solution – especially if you plan on an organic home-grown, do-it-yourself option. This talk will highlight challenges and best practices around centralized management of configuration, credentials, compliance across multiple accounts, regions, providers etc. We will also highlight the deviations in CSI driver implementations of various storage vendors and cloud providers. Finally, we will cover the various recovery options available in the market today. Kubernetes cloud services are popular since they mitigate, but do not eliminate, the difficulties of operating a Kubernetes environment. This is especially true for protecting the stateful configuration and data of your Kubernetes applications, where the inherent high-availability and infrastructure as code are not a substitute for have cloud-native backup and disaster recovery capabilities. Further, many companies now have multi-cloud strategies for their cloud-native applications. These challenges can be addressed with backup applications that are both Kubernetes managed service and multi-cloud aware in order to snapshot, copy, restore, and migrate Kubernetes workloads (resources and data) running on AKS, EKS and GKE. Capturing information from cloud accounts and how the cluster and storage resources are configured allows 1) centralized visibility into all cloud accounts and the clusters and resources in the accounts including for compliance; 2) cross-account, cross-cluster, and cross-region data restores; 3) automation of the cluster and data restores including for Dev, Test, and Production recovery use cases. BIO Sebastian Glab is a Cloud Architect for CloudCasa and he resides in Poland. He is responsible for integrating the different cloud providers with the CloudCasa service, and making sure that all clusters in the cloud service get discovered and protected. In his free time, he plays volleyball and develops his own projects. Martin Phan is the Field CTO in North America for CloudCasa by Catalogic Software. With over 20+ years of experience in the software-industry, he takes pride in supporting, developing, implementing, and selling enterprise software and data protection solutions to help customer solve their backup and recovery challenges. KEY TAKE-AWAYS FROM THE TALK 1) Challenges and best practices around centralized management of configuration, credentials, compliance across multiple accounts, regions, providers etc. 2) Advantages of cloud awareness and Kubernetes managed service awareness for application and data recovery and security 3) Examples of overcoming Container Storage Interface (CSI) deviations 4) Various recovery options available in the market today.]]>
Link: https://youtu.be/EFaRyl4HmmE https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK If you are running or planning a multi-cloud or even a multi-cluster environment, there are several considerations in implementing a data protection solution – especially if you plan on an organic home-grown, do-it-yourself option. This talk will highlight challenges and best practices around centralized management of configuration, credentials, compliance across multiple accounts, regions, providers etc. We will also highlight the deviations in CSI driver implementations of various storage vendors and cloud providers. Finally, we will cover the various recovery options available in the market today. Kubernetes cloud services are popular since they mitigate, but do not eliminate, the difficulties of operating a Kubernetes environment. This is especially true for protecting the stateful configuration and data of your Kubernetes applications, where the inherent high-availability and infrastructure as code are not a substitute for have cloud-native backup and disaster recovery capabilities. Further, many companies now have multi-cloud strategies for their cloud-native applications. These challenges can be addressed with backup applications that are both Kubernetes managed service and multi-cloud aware in order to snapshot, copy, restore, and migrate Kubernetes workloads (resources and data) running on AKS, EKS and GKE. Capturing information from cloud accounts and how the cluster and storage resources are configured allows 1) centralized visibility into all cloud accounts and the clusters and resources in the accounts including for compliance; 2) cross-account, cross-cluster, and cross-region data restores; 3) automation of the cluster and data restores including for Dev, Test, and Production recovery use cases. BIO Sebastian Glab is a Cloud Architect for CloudCasa and he resides in Poland. He is responsible for integrating the different cloud providers with the CloudCasa service, and making sure that all clusters in the cloud service get discovered and protected. In his free time, he plays volleyball and develops his own projects. Martin Phan is the Field CTO in North America for CloudCasa by Catalogic Software. With over 20+ years of experience in the software-industry, he takes pride in supporting, developing, implementing, and selling enterprise software and data protection solutions to help customer solve their backup and recovery challenges. KEY TAKE-AWAYS FROM THE TALK 1) Challenges and best practices around centralized management of configuration, credentials, compliance across multiple accounts, regions, providers etc. 2) Advantages of cloud awareness and Kubernetes managed service awareness for application and data recovery and security 3) Examples of overcoming Container Storage Interface (CSI) deviations 4) Various recovery options available in the market today.]]> Fri, 16 Sep 2022 12:04:12 GMT /DoKC/overcoming-challenges-with-protecting-and-migrating-data-in-multicloud-k8s-environments-dok-talks-149 DoKC@slideshare.net(DoKC) Overcoming challenges with protecting and migrating data in multi-cloud K8s environments - DoK Talks #149 DoKC Link: https://youtu.be/EFaRyl4HmmE https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK If you are running or planning a multi-cloud or even a multi-cluster environment, there are several considerations in implementing a data protection solution – especially if you plan on an organic home-grown, do-it-yourself option. This talk will highlight challenges and best practices around centralized management of configuration, credentials, compliance across multiple accounts, regions, providers etc. We will also highlight the deviations in CSI driver implementations of various storage vendors and cloud providers. Finally, we will cover the various recovery options available in the market today. Kubernetes cloud services are popular since they mitigate, but do not eliminate, the difficulties of operating a Kubernetes environment. This is especially true for protecting the stateful configuration and data of your Kubernetes applications, where the inherent high-availability and infrastructure as code are not a substitute for have cloud-native backup and disaster recovery capabilities. Further, many companies now have multi-cloud strategies for their cloud-native applications. These challenges can be addressed with backup applications that are both Kubernetes managed service and multi-cloud aware in order to snapshot, copy, restore, and migrate Kubernetes workloads (resources and data) running on AKS, EKS and GKE. Capturing information from cloud accounts and how the cluster and storage resources are configured allows 1) centralized visibility into all cloud accounts and the clusters and resources in the accounts including for compliance; 2) cross-account, cross-cluster, and cross-region data restores; 3) automation of the cluster and data restores including for Dev, Test, and Production recovery use cases. BIO Sebastian Glab is a Cloud Architect for CloudCasa and he resides in Poland. He is responsible for integrating the different cloud providers with the CloudCasa service, and making sure that all clusters in the cloud service get discovered and protected. In his free time, he plays volleyball and develops his own projects. Martin Phan is the Field CTO in North America for CloudCasa by Catalogic Software. With over 20+ years of experience in the software-industry, he takes pride in supporting, developing, implementing, and selling enterprise software and data protection solutions to help customer solve their backup and recovery challenges. KEY TAKE-AWAYS FROM THE TALK 1) Challenges and best practices around centralized management of configuration, credentials, compliance across multiple accounts, regions, providers etc. 2) Advantages of cloud awareness and Kubernetes managed service awareness for application and data recovery and security 3) Examples of overcoming Container Storage Interface (CSI) deviations 4) Various recovery options available in the market today. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/managedkubernetescomparison-220916120412-e98f793c-thumbnail.jpg?width=120&height=120&fit=bounds" /> Link: https://youtu.be/EFaRyl4HmmE https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK If you are running or planning a multi-cloud or even a multi-cluster environment, there are several considerations in implementing a data protection solution – especially if you plan on an organic home-grown, do-it-yourself option. This talk will highlight challenges and best practices around centralized management of configuration, credentials, compliance across multiple accounts, regions, providers etc. We will also highlight the deviations in CSI driver implementations of various storage vendors and cloud providers. Finally, we will cover the various recovery options available in the market today. Kubernetes cloud services are popular since they mitigate, but do not eliminate, the difficulties of operating a Kubernetes environment. This is especially true for protecting the stateful configuration and data of your Kubernetes applications, where the inherent high-availability and infrastructure as code are not a substitute for have cloud-native backup and disaster recovery capabilities. Further, many companies now have multi-cloud strategies for their cloud-native applications. These challenges can be addressed with backup applications that are both Kubernetes managed service and multi-cloud aware in order to snapshot, copy, restore, and migrate Kubernetes workloads (resources and data) running on AKS, EKS and GKE. Capturing information from cloud accounts and how the cluster and storage resources are configured allows 1) centralized visibility into all cloud accounts and the clusters and resources in the accounts including for compliance; 2) cross-account, cross-cluster, and cross-region data restores; 3) automation of the cluster and data restores including for Dev, Test, and Production recovery use cases. BIO Sebastian Glab is a Cloud Architect for CloudCasa and he resides in Poland. He is responsible for integrating the different cloud providers with the CloudCasa service, and making sure that all clusters in the cloud service get discovered and protected. In his free time, he plays volleyball and develops his own projects. Martin Phan is the Field CTO in North America for CloudCasa by Catalogic Software. With over 20+ years of experience in the software-industry, he takes pride in supporting, developing, implementing, and selling enterprise software and data protection solutions to help customer solve their backup and recovery challenges. KEY TAKE-AWAYS FROM THE TALK 1) Challenges and best practices around centralized management of configuration, credentials, compliance across multiple accounts, regions, providers etc. 2) Advantages of cloud awareness and Kubernetes managed service awareness for application and data recovery and security 3) Examples of overcoming Container Storage Interface (CSI) deviations 4) Various recovery options available in the market today.

Overcoming challenges with protecting and migrating data in multi-cloud K8s environments - DoK Talks #149 from DoKC

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0 Evaluating Cloud Native Storage Vendors - DoK Talks #147 /slideshow/evaluating-cloud-native-storage-vendors-dok-talks-147/252835311 dokcsep2022-storageevaluation-220905100442-bbffb746
Link: https://youtu.be/YVXEpcSclwY https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK In a continuation of a talk given at DoK day at KubeCon EU 2022, join Dinesh Majrekar, Civo's CTO as they walk through their evaluation process of the CNCF Storage market. Civo offers managed Kubernetes clusters powered by K3s to customers around the world. We manage thousands of Virtual Machines and stateful customer data within multiple data centres across several continents. In late 2021, Civo had the opportunity to evaluate the CNCF storage landscape to move to a new technology stack. During the migration project, Civo evaluated Mayastor, Ondat, Ceph and Longhorn against the following metrics: Scalability Performance Ease of Support Attendants will see practical examples on how they could carry out their own similar evaluation and see some of the results of the Civo research project. BIO Dinesh is CTO at Civo. Having worked in the hosting industry for many years, Dinesh has a passion for creating solutions that operate at scale. This not only applies to the technology stack, but for nurturing engineers through their career.]]>
Link: https://youtu.be/YVXEpcSclwY https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK In a continuation of a talk given at DoK day at KubeCon EU 2022, join Dinesh Majrekar, Civo's CTO as they walk through their evaluation process of the CNCF Storage market. Civo offers managed Kubernetes clusters powered by K3s to customers around the world. We manage thousands of Virtual Machines and stateful customer data within multiple data centres across several continents. In late 2021, Civo had the opportunity to evaluate the CNCF storage landscape to move to a new technology stack. During the migration project, Civo evaluated Mayastor, Ondat, Ceph and Longhorn against the following metrics: Scalability Performance Ease of Support Attendants will see practical examples on how they could carry out their own similar evaluation and see some of the results of the Civo research project. BIO Dinesh is CTO at Civo. Having worked in the hosting industry for many years, Dinesh has a passion for creating solutions that operate at scale. This not only applies to the technology stack, but for nurturing engineers through their career.]]> Mon, 05 Sep 2022 10:04:42 GMT /slideshow/evaluating-cloud-native-storage-vendors-dok-talks-147/252835311 DoKC@slideshare.net(DoKC) Evaluating Cloud Native Storage Vendors - DoK Talks #147 DoKC Link: https://youtu.be/YVXEpcSclwY https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK In a continuation of a talk given at DoK day at KubeCon EU 2022, join Dinesh Majrekar, Civo's CTO as they walk through their evaluation process of the CNCF Storage market. Civo offers managed Kubernetes clusters powered by K3s to customers around the world. We manage thousands of Virtual Machines and stateful customer data within multiple data centres across several continents. In late 2021, Civo had the opportunity to evaluate the CNCF storage landscape to move to a new technology stack. During the migration project, Civo evaluated Mayastor, Ondat, Ceph and Longhorn against the following metrics: Scalability Performance Ease of Support Attendants will see practical examples on how they could carry out their own similar evaluation and see some of the results of the Civo research project. BIO Dinesh is CTO at Civo. Having worked in the hosting industry for many years, Dinesh has a passion for creating solutions that operate at scale. This not only applies to the technology stack, but for nurturing engineers through their career. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dokcsep2022-storageevaluation-220905100442-bbffb746-thumbnail.jpg?width=120&height=120&fit=bounds" /> Link: https://youtu.be/YVXEpcSclwY https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK In a continuation of a talk given at DoK day at KubeCon EU 2022, join Dinesh Majrekar, Civo's CTO as they walk through their evaluation process of the CNCF Storage market. Civo offers managed Kubernetes clusters powered by K3s to customers around the world. We manage thousands of Virtual Machines and stateful customer data within multiple data centres across several continents. In late 2021, Civo had the opportunity to evaluate the CNCF storage landscape to move to a new technology stack. During the migration project, Civo evaluated Mayastor, Ondat, Ceph and Longhorn against the following metrics: Scalability Performance Ease of Support Attendants will see practical examples on how they could carry out their own similar evaluation and see some of the results of the Civo research project. BIO Dinesh is CTO at Civo. Having worked in the hosting industry for many years, Dinesh has a passion for creating solutions that operate at scale. This not only applies to the technology stack, but for nurturing engineers through their career.

Evaluating Cloud Native Storage Vendors - DoK Talks #147 from DoKC

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0 Kubernetes Cluster Upgrade Strategies and Data: Best Practices for your Stateful Workload /slideshow/kubernetes-cluster-upgrade-strategies-and-data-best-practices-for-your-stateful-workload/252665520 kubern1-220823145056-c9cc6b4b
Link: https://youtu.be/qUW8LkxYayc https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK How do you make sure your Stateful Workloads remain available when your Kubernetes infrastructure updates? This talk will discuss different strategies of upgrading a Kubernetes cluster, and how you can manage risk for your workload. The talk will showcase demos of each upgrade strategy. BIO Peter is a Senior Software Engineer on GKE at Google. He works on improving Kubernetes for Stateful workloads. His main focus is on enhancing the Kubernetes ecosystem for high availability applications. KEY TAKE-AWAYS FROM THE TALK The mechanics of different upgrade strategies, when to apply a particular upgrade strategy depending on your Stateful workload and how to mitigate risk to your application’s availability. ]]>
Link: https://youtu.be/qUW8LkxYayc https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK How do you make sure your Stateful Workloads remain available when your Kubernetes infrastructure updates? This talk will discuss different strategies of upgrading a Kubernetes cluster, and how you can manage risk for your workload. The talk will showcase demos of each upgrade strategy. BIO Peter is a Senior Software Engineer on GKE at Google. He works on improving Kubernetes for Stateful workloads. His main focus is on enhancing the Kubernetes ecosystem for high availability applications. KEY TAKE-AWAYS FROM THE TALK The mechanics of different upgrade strategies, when to apply a particular upgrade strategy depending on your Stateful workload and how to mitigate risk to your application’s availability. ]]> Tue, 23 Aug 2022 14:50:56 GMT /slideshow/kubernetes-cluster-upgrade-strategies-and-data-best-practices-for-your-stateful-workload/252665520 DoKC@slideshare.net(DoKC) Kubernetes Cluster Upgrade Strategies and Data: Best Practices for your Stateful Workload DoKC Link: https://youtu.be/qUW8LkxYayc https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK How do you make sure your Stateful Workloads remain available when your Kubernetes infrastructure updates? This talk will discuss different strategies of upgrading a Kubernetes cluster, and how you can manage risk for your workload. The talk will showcase demos of each upgrade strategy. BIO Peter is a Senior Software Engineer on GKE at Google. He works on improving Kubernetes for Stateful workloads. His main focus is on enhancing the Kubernetes ecosystem for high availability applications. KEY TAKE-AWAYS FROM THE TALK The mechanics of different upgrade strategies, when to apply a particular upgrade strategy depending on your Stateful workload and how to mitigate risk to your application’s availability. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kubern1-220823145056-c9cc6b4b-thumbnail.jpg?width=120&height=120&fit=bounds" /> Link: https://youtu.be/qUW8LkxYayc https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK How do you make sure your Stateful Workloads remain available when your Kubernetes infrastructure updates? This talk will discuss different strategies of upgrading a Kubernetes cluster, and how you can manage risk for your workload. The talk will showcase demos of each upgrade strategy. BIO Peter is a Senior Software Engineer on GKE at Google. He works on improving Kubernetes for Stateful workloads. His main focus is on enhancing the Kubernetes ecosystem for high availability applications. KEY TAKE-AWAYS FROM THE TALK The mechanics of different upgrade strategies, when to apply a particular upgrade strategy depending on your Stateful workload and how to mitigate risk to your application’s availability.

Kubernetes Cluster Upgrade Strategies and Data: Best Practices for your Stateful Workload from DoKC

]]> 20 0 https://cdn.slidesharecdn.com/ss_thumbnails/kubern1-220823145056-c9cc6b4b-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 We will Dok You! - The journey to adopt stateful workloads on k8s /DoKC/we-will-dok-you-the-journey-to-adopt-stateful-workloads-on-k8s wewilldokyou-thejourneytoadoptstatefulworkloadsonk8s-220818151225-2b4af62f
Link: https://youtu.be/AjvwG53yLMY https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK Stateful workloads are the heart of any application, yet they remain confusing and complicated even to daily K8s practitioners. That’s why many organizations shy away from migrating their data - their prized possession - to the unfamiliar stateful realm of Kubernetes. After meeting with many organizations in the adoption phase, I discovered what works best, what to avoid, and how critical it is to gain confidence and the right knowledge in order to successfully adopt stateful workloads. In this talk I will demonstrate how to optimally adopt Kubernetes and stateful workloads in a few steps, based on what I’ve learned from observing dozens of different adoption journeys. If you are taking your first steps in data on K8s or contemplating where to start - this talk is for you! BIO - A Developer turned Solution Architect. - Working at Komodor, a startup building the first K8s-native troubleshooting platform. - Love everything in infrastructure: storage, networks & security - from 70’s era mainframes to cloud-native. - All about “plan well, sleep well”. KEY TAKE-AWAYS FROM THE TALK - Understand how critical stateful workloads are for any system, and that the key challenges to migrating it to Kubernetes are knowledge and confidence. - How to build the foundational knowledge required to overcome adoption challenges by creating a learning path for individuals and teams. - How to gain confidence to run stateful workloads on Kubernetes with support from the community (and yourself!)]]>
Link: https://youtu.be/AjvwG53yLMY https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK Stateful workloads are the heart of any application, yet they remain confusing and complicated even to daily K8s practitioners. That’s why many organizations shy away from migrating their data - their prized possession - to the unfamiliar stateful realm of Kubernetes. After meeting with many organizations in the adoption phase, I discovered what works best, what to avoid, and how critical it is to gain confidence and the right knowledge in order to successfully adopt stateful workloads. In this talk I will demonstrate how to optimally adopt Kubernetes and stateful workloads in a few steps, based on what I’ve learned from observing dozens of different adoption journeys. If you are taking your first steps in data on K8s or contemplating where to start - this talk is for you! BIO - A Developer turned Solution Architect. - Working at Komodor, a startup building the first K8s-native troubleshooting platform. - Love everything in infrastructure: storage, networks & security - from 70’s era mainframes to cloud-native. - All about “plan well, sleep well”. KEY TAKE-AWAYS FROM THE TALK - Understand how critical stateful workloads are for any system, and that the key challenges to migrating it to Kubernetes are knowledge and confidence. - How to build the foundational knowledge required to overcome adoption challenges by creating a learning path for individuals and teams. - How to gain confidence to run stateful workloads on Kubernetes with support from the community (and yourself!)]]> Thu, 18 Aug 2022 15:12:25 GMT /DoKC/we-will-dok-you-the-journey-to-adopt-stateful-workloads-on-k8s DoKC@slideshare.net(DoKC) We will Dok You! - The journey to adopt stateful workloads on k8s DoKC Link: https://youtu.be/AjvwG53yLMY https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK Stateful workloads are the heart of any application, yet they remain confusing and complicated even to daily K8s practitioners. That’s why many organizations shy away from migrating their data - their prized possession - to the unfamiliar stateful realm of Kubernetes. After meeting with many organizations in the adoption phase, I discovered what works best, what to avoid, and how critical it is to gain confidence and the right knowledge in order to successfully adopt stateful workloads. In this talk I will demonstrate how to optimally adopt Kubernetes and stateful workloads in a few steps, based on what I’ve learned from observing dozens of different adoption journeys. If you are taking your first steps in data on K8s or contemplating where to start - this talk is for you! BIO - A Developer turned Solution Architect. - Working at Komodor, a startup building the first K8s-native troubleshooting platform. - Love everything in infrastructure: storage, networks & security - from 70’s era mainframes to cloud-native. - All about “plan well, sleep well”. KEY TAKE-AWAYS FROM THE TALK - Understand how critical stateful workloads are for any system, and that the key challenges to migrating it to Kubernetes are knowledge and confidence. - How to build the foundational knowledge required to overcome adoption challenges by creating a learning path for individuals and teams. - How to gain confidence to run stateful workloads on Kubernetes with support from the community (and yourself!) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wewilldokyou-thejourneytoadoptstatefulworkloadsonk8s-220818151225-2b4af62f-thumbnail.jpg?width=120&height=120&fit=bounds" /> Link: https://youtu.be/AjvwG53yLMY https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK Stateful workloads are the heart of any application, yet they remain confusing and complicated even to daily K8s practitioners. That’s why many organizations shy away from migrating their data - their prized possession - to the unfamiliar stateful realm of Kubernetes. After meeting with many organizations in the adoption phase, I discovered what works best, what to avoid, and how critical it is to gain confidence and the right knowledge in order to successfully adopt stateful workloads. In this talk I will demonstrate how to optimally adopt Kubernetes and stateful workloads in a few steps, based on what I’ve learned from observing dozens of different adoption journeys. If you are taking your first steps in data on K8s or contemplating where to start - this talk is for you! BIO - A Developer turned Solution Architect. - Working at Komodor, a startup building the first K8s-native troubleshooting platform. - Love everything in infrastructure: storage, networks & security - from 70’s era mainframes to cloud-native. - All about “plan well, sleep well”. KEY TAKE-AWAYS FROM THE TALK - Understand how critical stateful workloads are for any system, and that the key challenges to migrating it to Kubernetes are knowledge and confidence. - How to build the foundational knowledge required to overcome adoption challenges by creating a learning path for individuals and teams. - How to gain confidence to run stateful workloads on Kubernetes with support from the community (and yourself!)

We will Dok You! - The journey to adopt stateful workloads on k8s from DoKC

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0 Mastering MongoDB on Kubernetes, the power of operators /slideshow/mastering-mongodb-on-kubernetes-the-power-of-operators/252319020 arekboruckidok-220726084753-4fbb06de
Link: https://youtu.be/Pi5ueyl_1jU https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK During my first talk for DoK community I want to walk you through the world of NoSQL database MongoDB and Kubernetes Operators - Community Edition, Enterprise Edition (MongoDB and Ops Manager on K8s), and Atlas operator, highlight the most important capabilities, talk about use cases and challenges, the theory will be mixed with a live demos! BIO I'm a SRE / NoSQL / DevOps professional. I hold CKA, CKAD, CKS, also I’m MongoDB Certified DBA and MongoDB Champion. I have experience with multiple cloud providers, Kubernetes, different types of K8s operators (Strimzi, RabbitMQ Cluster Operator), but especially MongoDB K8s Operator. I also work with KEDA. Since 2017, I have been a speaker at MongoDB conferences all around the world (USA, China, Europe). KEY TAKE-AWAYS FROM THE TALK I would like to share the best practices of running NoSQL database - MongoDB on Kubernetes also I want to show how to manage Atlas (MongoDB cloud) via K8s operator https://www.mongodb.com/developer/community-champions/arkadiusz-borucki/]]>
Link: https://youtu.be/Pi5ueyl_1jU https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK During my first talk for DoK community I want to walk you through the world of NoSQL database MongoDB and Kubernetes Operators - Community Edition, Enterprise Edition (MongoDB and Ops Manager on K8s), and Atlas operator, highlight the most important capabilities, talk about use cases and challenges, the theory will be mixed with a live demos! BIO I'm a SRE / NoSQL / DevOps professional. I hold CKA, CKAD, CKS, also I’m MongoDB Certified DBA and MongoDB Champion. I have experience with multiple cloud providers, Kubernetes, different types of K8s operators (Strimzi, RabbitMQ Cluster Operator), but especially MongoDB K8s Operator. I also work with KEDA. Since 2017, I have been a speaker at MongoDB conferences all around the world (USA, China, Europe). KEY TAKE-AWAYS FROM THE TALK I would like to share the best practices of running NoSQL database - MongoDB on Kubernetes also I want to show how to manage Atlas (MongoDB cloud) via K8s operator https://www.mongodb.com/developer/community-champions/arkadiusz-borucki/]]> Tue, 26 Jul 2022 08:47:53 GMT /slideshow/mastering-mongodb-on-kubernetes-the-power-of-operators/252319020 DoKC@slideshare.net(DoKC) Mastering MongoDB on Kubernetes, the power of operators DoKC Link: https://youtu.be/Pi5ueyl_1jU https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK During my first talk for DoK community I want to walk you through the world of NoSQL database MongoDB and Kubernetes Operators - Community Edition, Enterprise Edition (MongoDB and Ops Manager on K8s), and Atlas operator, highlight the most important capabilities, talk about use cases and challenges, the theory will be mixed with a live demos! BIO I'm a SRE / NoSQL / DevOps professional. I hold CKA, CKAD, CKS, also I’m MongoDB Certified DBA and MongoDB Champion. I have experience with multiple cloud providers, Kubernetes, different types of K8s operators (Strimzi, RabbitMQ Cluster Operator), but especially MongoDB K8s Operator. I also work with KEDA. Since 2017, I have been a speaker at MongoDB conferences all around the world (USA, China, Europe). KEY TAKE-AWAYS FROM THE TALK I would like to share the best practices of running NoSQL database - MongoDB on Kubernetes also I want to show how to manage Atlas (MongoDB cloud) via K8s operator https://www.mongodb.com/developer/community-champions/arkadiusz-borucki/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/arekboruckidok-220726084753-4fbb06de-thumbnail.jpg?width=120&height=120&fit=bounds" /> Link: https://youtu.be/Pi5ueyl_1jU https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK During my first talk for DoK community I want to walk you through the world of NoSQL database MongoDB and Kubernetes Operators - Community Edition, Enterprise Edition (MongoDB and Ops Manager on K8s), and Atlas operator, highlight the most important capabilities, talk about use cases and challenges, the theory will be mixed with a live demos! BIO I'm a SRE / NoSQL / DevOps professional. I hold CKA, CKAD, CKS, also I’m MongoDB Certified DBA and MongoDB Champion. I have experience with multiple cloud providers, Kubernetes, different types of K8s operators (Strimzi, RabbitMQ Cluster Operator), but especially MongoDB K8s Operator. I also work with KEDA. Since 2017, I have been a speaker at MongoDB conferences all around the world (USA, China, Europe). KEY TAKE-AWAYS FROM THE TALK I would like to share the best practices of running NoSQL database - MongoDB on Kubernetes also I want to show how to manage Atlas (MongoDB cloud) via K8s operator https://www.mongodb.com/developer/community-champions/arkadiusz-borucki/

Mastering MongoDB on Kubernetes, the power of operators from DoKC

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0 https://cdn.slidesharecdn.com/profile-photo-DoKC-48x48.jpg?cb=1729125773 DoKC – the Data on Kubernetes Community – is an openly governed group of curious and experienced practitioners, assisting in the emergence and development of techniques for the use of Kubernetes for data. dok.community/ https://cdn.slidesharecdn.com/ss_thumbnails/introvectordb-231122202436-d069831b-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/distributed-vector-databases-what-why-and-how/263780230 Distributed Vector Dat... https://cdn.slidesharecdn.com/ss_thumbnails/isitsafe-security-hardening-for-databases-using-kubernetes-operators-dok-day-na-2023-231122201952-48ab8d49-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/is-it-safe-security-hardening-for-databases-using-kubernetes-operators/263780131 Is It Safe? Security H... https://cdn.slidesharecdn.com/ss_thumbnails/kubecon-dok-percona-elotlnova-dr-231121215320-6886ebf1-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/stop-worrying-and-keep-querying-using-automated-multiregion-disaster-recovery/263734110 Stop Worrying and Keep...