�ݺ�ߣshows by User: Docker

�ݺ�ߣshows by User: Docker / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: Docker / Fri, 29 May 2020 02:23:13 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: Docker Containerize Your Game Server for the Best Multiplayer Experience /slideshow/containerize-your-game-server-for-the-best-multiplayer-experience/234707373 raymondarifiantomarkmandel-containerizeyourgameserver-200529022313
Raymond Arifianto, AccelByte and Mark Mandel, Google - We have been deploying containerized micro-services for our Game Backend Services for a while. Now we are tackling the challenge to scale up fleets of game dedicated servers in multiple regions, multiple data centers and multiple providers - some in bare metal, some in Cloud. So we leverage docker containerization to deploy Game Servers to achieve Portability, Fast Deployment and Predictability, enabling us to scale up to thousands of servers, on demand, without a sweat.]]>
Raymond Arifianto, AccelByte and Mark Mandel, Google - We have been deploying containerized micro-services for our Game Backend Services for a while. Now we are tackling the challenge to scale up fleets of game dedicated servers in multiple regions, multiple data centers and multiple providers - some in bare metal, some in Cloud. So we leverage docker containerization to deploy Game Servers to achieve Portability, Fast Deployment and Predictability, enabling us to scale up to thousands of servers, on demand, without a sweat.]]> Fri, 29 May 2020 02:23:13 GMT /slideshow/containerize-your-game-server-for-the-best-multiplayer-experience/234707373 Docker@slideshare.net(Docker) Containerize Your Game Server for the Best Multiplayer Experience Docker Raymond Arifianto, AccelByte and Mark Mandel, Google - We have been deploying containerized micro-services for our Game Backend Services for a while. Now we are tackling the challenge to scale up fleets of game dedicated servers in multiple regions, multiple data centers and multiple providers - some in bare metal, some in Cloud. So we leverage docker containerization to deploy Game Servers to achieve Portability, Fast Deployment and Predictability, enabling us to scale up to thousands of servers, on demand, without a sweat. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/raymondarifiantomarkmandel-containerizeyourgameserver-200529022313-thumbnail.jpg?width=120&height=120&fit=bounds" /> Raymond Arifianto, AccelByte and Mark Mandel, Google - We have been deploying containerized micro-services for our Game Backend Services for a while. Now we are tackling the challenge to scale up fleets of game dedicated servers in multiple regions, multiple data centers and multiple providers - some in bare metal, some in Cloud. So we leverage docker containerization to deploy Game Servers to achieve Portability, Fast Deployment and Predictability, enabling us to scale up to thousands of servers, on demand, without a sweat.

Containerize Your Game Server for the Best Multiplayer Experience from Docker, Inc.

]]> 5464 1 https://cdn.slidesharecdn.com/ss_thumbnails/raymondarifiantomarkmandel-containerizeyourgameserver-200529022313-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 How to Improve Your Image Builds Using Advance Docker Build /slideshow/how-to-improve-your-image-builds-using-advance-docker-build/234707372 nicholasdille-howtoimproveyourimagebuilds-200529022310
Nicholas Dille, Haufe-Lexware + Docker Captain - Docker continues to be the standard tool for building container images. For more than a year Docker ships with BuildKit as an alternative image builder, providing advanced features for secret and cache management. These features help to make image builds faster and more secure. In this session, Docker Captain Nicholas Dille will teach you how to use Buildkit features to your advantage.]]>
Nicholas Dille, Haufe-Lexware + Docker Captain - Docker continues to be the standard tool for building container images. For more than a year Docker ships with BuildKit as an alternative image builder, providing advanced features for secret and cache management. These features help to make image builds faster and more secure. In this session, Docker Captain Nicholas Dille will teach you how to use Buildkit features to your advantage.]]> Fri, 29 May 2020 02:23:10 GMT /slideshow/how-to-improve-your-image-builds-using-advance-docker-build/234707372 Docker@slideshare.net(Docker) How to Improve Your Image Builds Using Advance Docker Build Docker Nicholas Dille, Haufe-Lexware + Docker Captain - Docker continues to be the standard tool for building container images. For more than a year Docker ships with BuildKit as an alternative image builder, providing advanced features for secret and cache management. These features help to make image builds faster and more secure. In this session, Docker Captain Nicholas Dille will teach you how to use Buildkit features to your advantage. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nicholasdille-howtoimproveyourimagebuilds-200529022310-thumbnail.jpg?width=120&height=120&fit=bounds" /> Nicholas Dille, Haufe-Lexware + Docker Captain - Docker continues to be the standard tool for building container images. For more than a year Docker ships with BuildKit as an alternative image builder, providing advanced features for secret and cache management. These features help to make image builds faster and more secure. In this session, Docker Captain Nicholas Dille will teach you how to use Buildkit features to your advantage.

How to Improve Your Image Builds Using Advance Docker Build from Docker, Inc.

]]> 1214 1 https://cdn.slidesharecdn.com/ss_thumbnails/nicholasdille-howtoimproveyourimagebuilds-200529022310-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Build & Deploy Multi-Container Applications to AWS /slideshow/build-deploy-multicontainer-applications-to-aws-234707370/234707370 lukondemwila-builddeploymulti-containerappstoaws-200529022309
Lukonde Mwila, Entelect - As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.]]>
Lukonde Mwila, Entelect - As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.]]> Fri, 29 May 2020 02:23:09 GMT /slideshow/build-deploy-multicontainer-applications-to-aws-234707370/234707370 Docker@slideshare.net(Docker) Build & Deploy Multi-Container Applications to AWS Docker Lukonde Mwila, Entelect - As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lukondemwila-builddeploymulti-containerappstoaws-200529022309-thumbnail.jpg?width=120&height=120&fit=bounds" /> Lukonde Mwila, Entelect - As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.

Build & Deploy Multi-Container Applications to AWS from Docker, Inc.

]]> 811 1 https://cdn.slidesharecdn.com/ss_thumbnails/lukondemwila-builddeploymulti-containerappstoaws-200529022309-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Securing Your Containerized Applications with NGINX /Docker/securing-your-containerized-applications-with-nginx kevinjones-securingyourcontainerizedappswnginx-200529022307
Kevin Jones, NGNIX - NGINX is one of the most popular images on Docker Hub and has been at the forefront of the web since the early 2000's. In this talk we will discuss how and why NGINX's lightweight and powerful architecture makes it a very popular choice for securing containerized applications as a sidecar reverse proxy within containers. We will highlight important aspects of application security that NGINX can help with, such as TLS, HTTP, AuthN, AuthZ and traffic control.]]>
Kevin Jones, NGNIX - NGINX is one of the most popular images on Docker Hub and has been at the forefront of the web since the early 2000's. In this talk we will discuss how and why NGINX's lightweight and powerful architecture makes it a very popular choice for securing containerized applications as a sidecar reverse proxy within containers. We will highlight important aspects of application security that NGINX can help with, such as TLS, HTTP, AuthN, AuthZ and traffic control.]]> Fri, 29 May 2020 02:23:07 GMT /Docker/securing-your-containerized-applications-with-nginx Docker@slideshare.net(Docker) Securing Your Containerized Applications with NGINX Docker Kevin Jones, NGNIX - NGINX is one of the most popular images on Docker Hub and has been at the forefront of the web since the early 2000's. In this talk we will discuss how and why NGINX's lightweight and powerful architecture makes it a very popular choice for securing containerized applications as a sidecar reverse proxy within containers. We will highlight important aspects of application security that NGINX can help with, such as TLS, HTTP, AuthN, AuthZ and traffic control. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kevinjones-securingyourcontainerizedappswnginx-200529022307-thumbnail.jpg?width=120&height=120&fit=bounds" /> Kevin Jones, NGNIX - NGINX is one of the most popular images on Docker Hub and has been at the forefront of the web since the early 2000's. In this talk we will discuss how and why NGINX's lightweight and powerful architecture makes it a very popular choice for securing containerized applications as a sidecar reverse proxy within containers. We will highlight important aspects of application security that NGINX can help with, such as TLS, HTTP, AuthN, AuthZ and traffic control.

Securing Your Containerized Applications with NGINX from Docker, Inc.

]]> 691 1 https://cdn.slidesharecdn.com/ss_thumbnails/kevinjones-securingyourcontainerizedappswnginx-200529022307-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 How To Build and Run Node Apps with Docker and Compose /slideshow/how-to-build-and-run-node-apps-with-docker-and-compose/234707363 kathleenjuelldockercon20202-200529022244
Kathleen Juell, Digital Ocean - Containers are an essential part of today's microservice ecosystem, as they allow developers and operators to maintain standards of reliability and reproducibility in fast-paced deployment scenarios. And while there are best practices that extend across stacks in containerized environments, there are also things that make each stack distinct, starting with the application image itself. This talk will dive into some of these particularities, both at the image and service level, while also covering general best practices for building and running Node applications with database backends using Docker and Compose.]]>
Kathleen Juell, Digital Ocean - Containers are an essential part of today's microservice ecosystem, as they allow developers and operators to maintain standards of reliability and reproducibility in fast-paced deployment scenarios. And while there are best practices that extend across stacks in containerized environments, there are also things that make each stack distinct, starting with the application image itself. This talk will dive into some of these particularities, both at the image and service level, while also covering general best practices for building and running Node applications with database backends using Docker and Compose.]]> Fri, 29 May 2020 02:22:44 GMT /slideshow/how-to-build-and-run-node-apps-with-docker-and-compose/234707363 Docker@slideshare.net(Docker) How To Build and Run Node Apps with Docker and Compose Docker Kathleen Juell, Digital Ocean - Containers are an essential part of today's microservice ecosystem, as they allow developers and operators to maintain standards of reliability and reproducibility in fast-paced deployment scenarios. And while there are best practices that extend across stacks in containerized environments, there are also things that make each stack distinct, starting with the application image itself. This talk will dive into some of these particularities, both at the image and service level, while also covering general best practices for building and running Node applications with database backends using Docker and Compose. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kathleenjuelldockercon20202-200529022244-thumbnail.jpg?width=120&height=120&fit=bounds" /> Kathleen Juell, Digital Ocean - Containers are an essential part of today's microservice ecosystem, as they allow developers and operators to maintain standards of reliability and reproducibility in fast-paced deployment scenarios. And while there are best practices that extend across stacks in containerized environments, there are also things that make each stack distinct, starting with the application image itself. This talk will dive into some of these particularities, both at the image and service level, while also covering general best practices for building and running Node applications with database backends using Docker and Compose.

How To Build and Run Node Apps with Docker and Compose from Docker, Inc.

]]> 725 1 https://cdn.slidesharecdn.com/ss_thumbnails/kathleenjuelldockercon20202-200529022244-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Hands-on Helm /slideshow/handson-helm/234707362 jessicadeen-hands-onhelm-200529022243
Jessica Deen, Microsoft - Helm 3 is here; let's go hands-on! In this demo-fueled session, I'll walk you through the differences between Helm 2 and Helm 3. I'll offer tips for a successful rollout or upgrade, go over how to easily use charts created for Helm 2 with Helm 3 (without changing your syntax), and review opportunities where you can participate in the project's future.]]>
Jessica Deen, Microsoft - Helm 3 is here; let's go hands-on! In this demo-fueled session, I'll walk you through the differences between Helm 2 and Helm 3. I'll offer tips for a successful rollout or upgrade, go over how to easily use charts created for Helm 2 with Helm 3 (without changing your syntax), and review opportunities where you can participate in the project's future.]]> Fri, 29 May 2020 02:22:43 GMT /slideshow/handson-helm/234707362 Docker@slideshare.net(Docker) Hands-on Helm Docker Jessica Deen, Microsoft - Helm 3 is here; let's go hands-on! In this demo-fueled session, I'll walk you through the differences between Helm 2 and Helm 3. I'll offer tips for a successful rollout or upgrade, go over how to easily use charts created for Helm 2 with Helm 3 (without changing your syntax), and review opportunities where you can participate in the project's future. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jessicadeen-hands-onhelm-200529022243-thumbnail.jpg?width=120&height=120&fit=bounds" /> Jessica Deen, Microsoft - Helm 3 is here; let's go hands-on! In this demo-fueled session, I'll walk you through the differences between Helm 2 and Helm 3. I'll offer tips for a successful rollout or upgrade, go over how to easily use charts created for Helm 2 with Helm 3 (without changing your syntax), and review opportunities where you can participate in the project's future.

Hands-on Helm from Docker, Inc.

]]> 663 1 https://cdn.slidesharecdn.com/ss_thumbnails/jessicadeen-hands-onhelm-200529022243-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Distributed Deep Learning with Docker at Salesforce /Docker/distributed-deep-learning-with-docker-at-salesforce jeffhajewski-distributeddeeplearning-200529022235
Jeff Hajewski, Salesforce - There is a wealth of information on building deep learning models with PyTorch or TensorFlow. Anyone interested in building a deep learning model is only a quick search away from a number of clear and well written tutorials that will take them from zero knowledge to having a working image classifier. But what happens when you need to deploy these models in a production setting? At Salesforce, we use TensorFlow models to help us provide customers with insights into their data, and we do this as close to real-time as possible. Designing these systems in a scalable manner requires overcoming a number of design challenges, but the core component is Docker. Docker enables us to design highly scalable systems by allowing us to focus on service interactions, rather than how our services will interact with the hardware. Docker is also at the core of our test infrastructure, allowing developers and data scientists to build and test the system in an end to end manner on their local machines. While some of this may sound complex, the core message is simplicity - Docker allows us to focus on the aspects of the system that matter, greatly simplifying our lives.]]>
Jeff Hajewski, Salesforce - There is a wealth of information on building deep learning models with PyTorch or TensorFlow. Anyone interested in building a deep learning model is only a quick search away from a number of clear and well written tutorials that will take them from zero knowledge to having a working image classifier. But what happens when you need to deploy these models in a production setting? At Salesforce, we use TensorFlow models to help us provide customers with insights into their data, and we do this as close to real-time as possible. Designing these systems in a scalable manner requires overcoming a number of design challenges, but the core component is Docker. Docker enables us to design highly scalable systems by allowing us to focus on service interactions, rather than how our services will interact with the hardware. Docker is also at the core of our test infrastructure, allowing developers and data scientists to build and test the system in an end to end manner on their local machines. While some of this may sound complex, the core message is simplicity - Docker allows us to focus on the aspects of the system that matter, greatly simplifying our lives.]]> Fri, 29 May 2020 02:22:35 GMT /Docker/distributed-deep-learning-with-docker-at-salesforce Docker@slideshare.net(Docker) Distributed Deep Learning with Docker at Salesforce Docker Jeff Hajewski, Salesforce - There is a wealth of information on building deep learning models with PyTorch or TensorFlow. Anyone interested in building a deep learning model is only a quick search away from a number of clear and well written tutorials that will take them from zero knowledge to having a working image classifier. But what happens when you need to deploy these models in a production setting? At Salesforce, we use TensorFlow models to help us provide customers with insights into their data, and we do this as close to real-time as possible. Designing these systems in a scalable manner requires overcoming a number of design challenges, but the core component is Docker. Docker enables us to design highly scalable systems by allowing us to focus on service interactions, rather than how our services will interact with the hardware. Docker is also at the core of our test infrastructure, allowing developers and data scientists to build and test the system in an end to end manner on their local machines. While some of this may sound complex, the core message is simplicity - Docker allows us to focus on the aspects of the system that matter, greatly simplifying our lives. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jeffhajewski-distributeddeeplearning-200529022235-thumbnail.jpg?width=120&height=120&fit=bounds" /> Jeff Hajewski, Salesforce - There is a wealth of information on building deep learning models with PyTorch or TensorFlow. Anyone interested in building a deep learning model is only a quick search away from a number of clear and well written tutorials that will take them from zero knowledge to having a working image classifier. But what happens when you need to deploy these models in a production setting? At Salesforce, we use TensorFlow models to help us provide customers with insights into their data, and we do this as close to real-time as possible. Designing these systems in a scalable manner requires overcoming a number of design challenges, but the core component is Docker. Docker enables us to design highly scalable systems by allowing us to focus on service interactions, rather than how our services will interact with the hardware. Docker is also at the core of our test infrastructure, allowing developers and data scientists to build and test the system in an end to end manner on their local machines. While some of this may sound complex, the core message is simplicity - Docker allows us to focus on the aspects of the system that matter, greatly simplifying our lives.

Distributed Deep Learning with Docker at Salesforce from Docker, Inc.

]]> 467 1 https://cdn.slidesharecdn.com/ss_thumbnails/jeffhajewski-distributeddeeplearning-200529022235-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 The First 10M Pulls: Building The Official Curl Image for Docker Hub /slideshow/the-first-10m-pulls-building-the-official-curl-image-for-docker-hub/234707357 jamesfuller-thefirst10mpulls-200529022234
James Fuller, webcomposite s.r.o. - Curl is the venerable (yet very modern) 'swiss army knife' command line tool and library for transferring data with URLs. Recently we (the Curl team) decided to build a release for Docker Hub. This talk will outline our current development workflow with respect to the docker image and provide insights on what it takes to build a docker image for mass public consumption. We are also keen to learn from users and other developers how we might improve and enhance the official curl docker image.]]>
James Fuller, webcomposite s.r.o. - Curl is the venerable (yet very modern) 'swiss army knife' command line tool and library for transferring data with URLs. Recently we (the Curl team) decided to build a release for Docker Hub. This talk will outline our current development workflow with respect to the docker image and provide insights on what it takes to build a docker image for mass public consumption. We are also keen to learn from users and other developers how we might improve and enhance the official curl docker image.]]> Fri, 29 May 2020 02:22:34 GMT /slideshow/the-first-10m-pulls-building-the-official-curl-image-for-docker-hub/234707357 Docker@slideshare.net(Docker) The First 10M Pulls: Building The Official Curl Image for Docker Hub Docker James Fuller, webcomposite s.r.o. - Curl is the venerable (yet very modern) 'swiss army knife' command line tool and library for transferring data with URLs. Recently we (the Curl team) decided to build a release for Docker Hub. This talk will outline our current development workflow with respect to the docker image and provide insights on what it takes to build a docker image for mass public consumption. We are also keen to learn from users and other developers how we might improve and enhance the official curl docker image. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jamesfuller-thefirst10mpulls-200529022234-thumbnail.jpg?width=120&height=120&fit=bounds" /> James Fuller, webcomposite s.r.o. - Curl is the venerable (yet very modern) 'swiss army knife' command line tool and library for transferring data with URLs. Recently we (the Curl team) decided to build a release for Docker Hub. This talk will outline our current development workflow with respect to the docker image and provide insights on what it takes to build a docker image for mass public consumption. We are also keen to learn from users and other developers how we might improve and enhance the official curl docker image.

The First 10M Pulls: Building The Official Curl Image for Docker Hub from Docker, Inc.

]]> 637 1 https://cdn.slidesharecdn.com/ss_thumbnails/jamesfuller-thefirst10mpulls-200529022234-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Monitoring in a Microservices World /slideshow/monitoring-in-a-microservices-world/234707350 fabianstaber-monitoringinmicroservicesworld-200529022212
Fabian Stäber, Instana - In recent years, we saw a great paradigm shift in software engineering away from static monolithic applications towards dynamic distributed horizontally scalable architectures. Docker is one of the key technologies enabling this development. This shift poses a lot of new challenges for application monitoring, ranging from practical issues (need for automation) to technical challenges (Docker networking) to organizational topics (blurring line between software engineers and operations) to fundamental questions (define what is an application). In this talk we show how Docker changed the way we do monitoring, how modern application monitoring systems work, and what future developments we expect.]]>
Fabian Stäber, Instana - In recent years, we saw a great paradigm shift in software engineering away from static monolithic applications towards dynamic distributed horizontally scalable architectures. Docker is one of the key technologies enabling this development. This shift poses a lot of new challenges for application monitoring, ranging from practical issues (need for automation) to technical challenges (Docker networking) to organizational topics (blurring line between software engineers and operations) to fundamental questions (define what is an application). In this talk we show how Docker changed the way we do monitoring, how modern application monitoring systems work, and what future developments we expect.]]> Fri, 29 May 2020 02:22:11 GMT /slideshow/monitoring-in-a-microservices-world/234707350 Docker@slideshare.net(Docker) Monitoring in a Microservices World Docker Fabian Stäber, Instana - In recent years, we saw a great paradigm shift in software engineering away from static monolithic applications towards dynamic distributed horizontally scalable architectures. Docker is one of the key technologies enabling this development. This shift poses a lot of new challenges for application monitoring, ranging from practical issues (need for automation) to technical challenges (Docker networking) to organizational topics (blurring line between software engineers and operations) to fundamental questions (define what is an application). In this talk we show how Docker changed the way we do monitoring, how modern application monitoring systems work, and what future developments we expect. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fabianstaber-monitoringinmicroservicesworld-200529022212-thumbnail.jpg?width=120&height=120&fit=bounds" /> Fabian Stäber, Instana - In recent years, we saw a great paradigm shift in software engineering away from static monolithic applications towards dynamic distributed horizontally scalable architectures. Docker is one of the key technologies enabling this development. This shift poses a lot of new challenges for application monitoring, ranging from practical issues (need for automation) to technical challenges (Docker networking) to organizational topics (blurring line between software engineers and operations) to fundamental questions (define what is an application). In this talk we show how Docker changed the way we do monitoring, how modern application monitoring systems work, and what future developments we expect.

Monitoring in a Microservices World from Docker, Inc.

]]> 427 1 https://cdn.slidesharecdn.com/ss_thumbnails/fabianstaber-monitoringinmicroservicesworld-200529022212-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Continue Business Operations /slideshow/covid19-in-italy-how-docker-is-helping-the-biggest-italian-it-company-continue-business-operations/234707346 clementebiondo-covid-19initalyhowdockerishelpingthebiggestitalianitcompany-200529022207
Clemente Biondo, Engineering Ingegneria Informatica - When the COVID 19 pandemic started, Engineering Ingegneria Informatica Group (1.25 billion euros of revenues, 65 offices around the world, 12.000 employees) was forced to put their digital transformation to the test in order to maintain operational continuity. In this session, Clemente Biondo, the Tech Lead of the Information Systems Department, will share how his company is reacting to this unforeseeable scenario and how Docker-driven digital transformation had paved the path for work to continue remotely. Clemente will discuss learnings moving from colocated teams, manual approaches, email based-business processes, and a monolithic application to a mature DevOps culture characterized by a distributed autonomous workforce and a continuous deployment process that deploys backward-compatible Docker containerized microservices into hybrid multi cloud datacenters an average of twice a day with zero-downtime. He will detail how they use Docker to unify dev, test and production environments, and as an efficient and automated mechanism for deploying applications. Lastly, Clemente shares how, in our darkest hour, he and others are working to shine their brightest light.]]>
Clemente Biondo, Engineering Ingegneria Informatica - When the COVID 19 pandemic started, Engineering Ingegneria Informatica Group (1.25 billion euros of revenues, 65 offices around the world, 12.000 employees) was forced to put their digital transformation to the test in order to maintain operational continuity. In this session, Clemente Biondo, the Tech Lead of the Information Systems Department, will share how his company is reacting to this unforeseeable scenario and how Docker-driven digital transformation had paved the path for work to continue remotely. Clemente will discuss learnings moving from colocated teams, manual approaches, email based-business processes, and a monolithic application to a mature DevOps culture characterized by a distributed autonomous workforce and a continuous deployment process that deploys backward-compatible Docker containerized microservices into hybrid multi cloud datacenters an average of twice a day with zero-downtime. He will detail how they use Docker to unify dev, test and production environments, and as an efficient and automated mechanism for deploying applications. Lastly, Clemente shares how, in our darkest hour, he and others are working to shine their brightest light.]]> Fri, 29 May 2020 02:22:06 GMT /slideshow/covid19-in-italy-how-docker-is-helping-the-biggest-italian-it-company-continue-business-operations/234707346 Docker@slideshare.net(Docker) COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Continue Business Operations Docker Clemente Biondo, Engineering Ingegneria Informatica - When the COVID 19 pandemic started, Engineering Ingegneria Informatica Group (1.25 billion euros of revenues, 65 offices around the world, 12.000 employees) was forced to put their digital transformation to the test in order to maintain operational continuity. In this session, Clemente Biondo, the Tech Lead of the Information Systems Department, will share how his company is reacting to this unforeseeable scenario and how Docker-driven digital transformation had paved the path for work to continue remotely. Clemente will discuss learnings moving from colocated teams, manual approaches, email based-business processes, and a monolithic application to a mature DevOps culture characterized by a distributed autonomous workforce and a continuous deployment process that deploys backward-compatible Docker containerized microservices into hybrid multi cloud datacenters an average of twice a day with zero-downtime. He will detail how they use Docker to unify dev, test and production environments, and as an efficient and automated mechanism for deploying applications. Lastly, Clemente shares how, in our darkest hour, he and others are working to shine their brightest light. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/clementebiondo-covid-19initalyhowdockerishelpingthebiggestitalianitcompany-200529022207-thumbnail.jpg?width=120&height=120&fit=bounds" /> Clemente Biondo, Engineering Ingegneria Informatica - When the COVID 19 pandemic started, Engineering Ingegneria Informatica Group (1.25 billion euros of revenues, 65 offices around the world, 12.000 employees) was forced to put their digital transformation to the test in order to maintain operational continuity. In this session, Clemente Biondo, the Tech Lead of the Information Systems Department, will share how his company is reacting to this unforeseeable scenario and how Docker-driven digital transformation had paved the path for work to continue remotely. Clemente will discuss learnings moving from colocated teams, manual approaches, email based-business processes, and a monolithic application to a mature DevOps culture characterized by a distributed autonomous workforce and a continuous deployment process that deploys backward-compatible Docker containerized microservices into hybrid multi cloud datacenters an average of twice a day with zero-downtime. He will detail how they use Docker to unify dev, test and production environments, and as an efficient and automated mechanism for deploying applications. Lastly, Clemente shares how, in our darkest hour, he and others are working to shine their brightest light.

COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Continue Business Operations from Docker, Inc.

]]> 320 0 https://cdn.slidesharecdn.com/ss_thumbnails/clementebiondo-covid-19initalyhowdockerishelpingthebiggestitalianitcompany-200529022207-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Predicting Space Weather with Docker /slideshow/predicting-space-weather-with-docker/234707345 chrislauer-predictingspaceweatherwdocker-200529022203
Chris Lauer, NOAA Space Weather Prediction Center - This is the story of how adopting a containerized workflow changed the way our small software team works at NOAA’s Space Weather Prediction Center. Our old architecture, a big ball of mud shared-database integration, just wasn’t cutting it - it was killing our agility. Over the past two years, our small team has adopted a microservice style architecture, using Docker with docker-compose and environment files as our deployment strategy for all new development. We’ve discovered the joys of using containers for identical dev, staging, and production environments. We work closely with scientists: much of the code we’re running has complicated and conflicting library dependencies. Docker captures these beautifully - we’ve even had some success teaching our scientists to use it! I’ll share what we’ve learned, some of the persistent challenges we face, and one place we really got it wrong. This talk builds off of a popular hallway track from DockerCon 2019.]]>
Chris Lauer, NOAA Space Weather Prediction Center - This is the story of how adopting a containerized workflow changed the way our small software team works at NOAA’s Space Weather Prediction Center. Our old architecture, a big ball of mud shared-database integration, just wasn’t cutting it - it was killing our agility. Over the past two years, our small team has adopted a microservice style architecture, using Docker with docker-compose and environment files as our deployment strategy for all new development. We’ve discovered the joys of using containers for identical dev, staging, and production environments. We work closely with scientists: much of the code we’re running has complicated and conflicting library dependencies. Docker captures these beautifully - we’ve even had some success teaching our scientists to use it! I’ll share what we’ve learned, some of the persistent challenges we face, and one place we really got it wrong. This talk builds off of a popular hallway track from DockerCon 2019.]]> Fri, 29 May 2020 02:22:03 GMT /slideshow/predicting-space-weather-with-docker/234707345 Docker@slideshare.net(Docker) Predicting Space Weather with Docker Docker Chris Lauer, NOAA Space Weather Prediction Center - This is the story of how adopting a containerized workflow changed the way our small software team works at NOAA’s Space Weather Prediction Center. Our old architecture, a big ball of mud shared-database integration, just wasn’t cutting it - it was killing our agility. Over the past two years, our small team has adopted a microservice style architecture, using Docker with docker-compose and environment files as our deployment strategy for all new development. We’ve discovered the joys of using containers for identical dev, staging, and production environments. We work closely with scientists: much of the code we’re running has complicated and conflicting library dependencies. Docker captures these beautifully - we’ve even had some success teaching our scientists to use it! I’ll share what we’ve learned, some of the persistent challenges we face, and one place we really got it wrong. This talk builds off of a popular hallway track from DockerCon 2019. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chrislauer-predictingspaceweatherwdocker-200529022203-thumbnail.jpg?width=120&height=120&fit=bounds" /> Chris Lauer, NOAA Space Weather Prediction Center - This is the story of how adopting a containerized workflow changed the way our small software team works at NOAA’s Space Weather Prediction Center. Our old architecture, a big ball of mud shared-database integration, just wasn’t cutting it - it was killing our agility. Over the past two years, our small team has adopted a microservice style architecture, using Docker with docker-compose and environment files as our deployment strategy for all new development. We’ve discovered the joys of using containers for identical dev, staging, and production environments. We work closely with scientists: much of the code we’re running has complicated and conflicting library dependencies. Docker captures these beautifully - we’ve even had some success teaching our scientists to use it! I’ll share what we’ve learned, some of the persistent challenges we face, and one place we really got it wrong. This talk builds off of a popular hallway track from DockerCon 2019.

Predicting Space Weather with Docker from Docker, Inc.

]]> 262 0 https://cdn.slidesharecdn.com/ss_thumbnails/chrislauer-predictingspaceweatherwdocker-200529022203-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Become a Docker Power User With Microsoft Visual Studio Code /Docker/become-a-docker-power-user-with-microsoft-visual-studio-code brianchristner-becomeadockerpoweruser-200529022151
Brian Christner, 56k + Docker Captain - In this session, we will unlock the full potential of using Microsoft Visual Studio Code (VS Code) and Docker Desktop to turn you into a Docker Power User. When we expand and utilize the VS Code Docker plugin, we can take our projects and Docker skills to the next level. In addition to using VS Code, we streamline our Docker Desktop development workflow with less context switching and built-in shortcuts. You will learn how to bootstrap new projects, quickly write Dockerfiles utilizing templates, build, run, and interact with containers all from VS Code.]]>
Brian Christner, 56k + Docker Captain - In this session, we will unlock the full potential of using Microsoft Visual Studio Code (VS Code) and Docker Desktop to turn you into a Docker Power User. When we expand and utilize the VS Code Docker plugin, we can take our projects and Docker skills to the next level. In addition to using VS Code, we streamline our Docker Desktop development workflow with less context switching and built-in shortcuts. You will learn how to bootstrap new projects, quickly write Dockerfiles utilizing templates, build, run, and interact with containers all from VS Code.]]> Fri, 29 May 2020 02:21:50 GMT /Docker/become-a-docker-power-user-with-microsoft-visual-studio-code Docker@slideshare.net(Docker) Become a Docker Power User With Microsoft Visual Studio Code Docker Brian Christner, 56k + Docker Captain - In this session, we will unlock the full potential of using Microsoft Visual Studio Code (VS Code) and Docker Desktop to turn you into a Docker Power User. When we expand and utilize the VS Code Docker plugin, we can take our projects and Docker skills to the next level. In addition to using VS Code, we streamline our Docker Desktop development workflow with less context switching and built-in shortcuts. You will learn how to bootstrap new projects, quickly write Dockerfiles utilizing templates, build, run, and interact with containers all from VS Code. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/brianchristner-becomeadockerpoweruser-200529022151-thumbnail.jpg?width=120&height=120&fit=bounds" /> Brian Christner, 56k + Docker Captain - In this session, we will unlock the full potential of using Microsoft Visual Studio Code (VS Code) and Docker Desktop to turn you into a Docker Power User. When we expand and utilize the VS Code Docker plugin, we can take our projects and Docker skills to the next level. In addition to using VS Code, we streamline our Docker Desktop development workflow with less context switching and built-in shortcuts. You will learn how to bootstrap new projects, quickly write Dockerfiles utilizing templates, build, run, and interact with containers all from VS Code.

Become a Docker Power User With Microsoft Visual Studio Code from Docker, Inc.

]]> 368 0 https://cdn.slidesharecdn.com/ss_thumbnails/brianchristner-becomeadockerpoweruser-200529022151-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 How to Use Mirroring and Caching to Optimize your Container Registry /slideshow/how-to-use-mirroring-and-caching-to-optimize-your-container-registry/234707336 brandonmitchell-howtousemirroringandcachingtooptimizeregistry-200529022146
Brandon Mitchell, Boxboat + Docker Captain - How do you make your builds more performant? This talk looks at options to configure caching and mirroring of images that you need to save on bandwidth costs and to keep running even if something goes down upstream.]]>
Brandon Mitchell, Boxboat + Docker Captain - How do you make your builds more performant? This talk looks at options to configure caching and mirroring of images that you need to save on bandwidth costs and to keep running even if something goes down upstream.]]> Fri, 29 May 2020 02:21:46 GMT /slideshow/how-to-use-mirroring-and-caching-to-optimize-your-container-registry/234707336 Docker@slideshare.net(Docker) How to Use Mirroring and Caching to Optimize your Container Registry Docker Brandon Mitchell, Boxboat + Docker Captain - How do you make your builds more performant? This talk looks at options to configure caching and mirroring of images that you need to save on bandwidth costs and to keep running even if something goes down upstream. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/brandonmitchell-howtousemirroringandcachingtooptimizeregistry-200529022146-thumbnail.jpg?width=120&height=120&fit=bounds" /> Brandon Mitchell, Boxboat + Docker Captain - How do you make your builds more performant? This talk looks at options to configure caching and mirroring of images that you need to save on bandwidth costs and to keep running even if something goes down upstream.

How to Use Mirroring and Caching to Optimize your Container Registry from Docker, Inc.

]]> 398 0 https://cdn.slidesharecdn.com/ss_thumbnails/brandonmitchell-howtousemirroringandcachingtooptimizeregistry-200529022146-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Monolithic to Microservices + Docker = SDLC on Steroids! /slideshow/monolithic-to-microservices-docker-sdlc-on-steroids/234707335 ashishsharma-monolithictomicroservicesdocker-200529022145
Ashish Sharma, SS&C Eze - SS&C Eze provides various products in the stock market domain. We spent the last couple of years building Eclipse which is an investment suite born in cloud. The journey so far has been very interesting. The very first version of the product were a bunch of monolithic windows services and deployed using Octopus tool. We successfully managed to bring all the monolithic problem to the cloud and created a nightmare for ourselves. We then started applying microservices architecture principles and started breaking the monolithic into small services. Very soon we realized that we need a better packaging/deployment tool. Docker looked like a magical solution to our problem. Since its adoption, It has not only solved the deployment problem for us but has made a deep impact on different aspects of SDLC. It allowed us to use heterogeneous technology stacks, simplified development environment setup, simplified our testing strategy, improved our speed of delivery, and made our developers more productive. In this talk I would like to share our experience of using Docker and its positive impact on our SDLC.]]>
Ashish Sharma, SS&C Eze - SS&C Eze provides various products in the stock market domain. We spent the last couple of years building Eclipse which is an investment suite born in cloud. The journey so far has been very interesting. The very first version of the product were a bunch of monolithic windows services and deployed using Octopus tool. We successfully managed to bring all the monolithic problem to the cloud and created a nightmare for ourselves. We then started applying microservices architecture principles and started breaking the monolithic into small services. Very soon we realized that we need a better packaging/deployment tool. Docker looked like a magical solution to our problem. Since its adoption, It has not only solved the deployment problem for us but has made a deep impact on different aspects of SDLC. It allowed us to use heterogeneous technology stacks, simplified development environment setup, simplified our testing strategy, improved our speed of delivery, and made our developers more productive. In this talk I would like to share our experience of using Docker and its positive impact on our SDLC.]]> Fri, 29 May 2020 02:21:45 GMT /slideshow/monolithic-to-microservices-docker-sdlc-on-steroids/234707335 Docker@slideshare.net(Docker) Monolithic to Microservices + Docker = SDLC on Steroids! Docker Ashish Sharma, SS&C Eze - SS&C Eze provides various products in the stock market domain. We spent the last couple of years building Eclipse which is an investment suite born in cloud. The journey so far has been very interesting. The very first version of the product were a bunch of monolithic windows services and deployed using Octopus tool. We successfully managed to bring all the monolithic problem to the cloud and created a nightmare for ourselves. We then started applying microservices architecture principles and started breaking the monolithic into small services. Very soon we realized that we need a better packaging/deployment tool. Docker looked like a magical solution to our problem. Since its adoption, It has not only solved the deployment problem for us but has made a deep impact on different aspects of SDLC. It allowed us to use heterogeneous technology stacks, simplified development environment setup, simplified our testing strategy, improved our speed of delivery, and made our developers more productive. In this talk I would like to share our experience of using Docker and its positive impact on our SDLC. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ashishsharma-monolithictomicroservicesdocker-200529022145-thumbnail.jpg?width=120&height=120&fit=bounds" /> Ashish Sharma, SS&C Eze - SS&C Eze provides various products in the stock market domain. We spent the last couple of years building Eclipse which is an investment suite born in cloud. The journey so far has been very interesting. The very first version of the product were a bunch of monolithic windows services and deployed using Octopus tool. We successfully managed to bring all the monolithic problem to the cloud and created a nightmare for ourselves. We then started applying microservices architecture principles and started breaking the monolithic into small services. Very soon we realized that we need a better packaging/deployment tool. Docker looked like a magical solution to our problem. Since its adoption, It has not only solved the deployment problem for us but has made a deep impact on different aspects of SDLC. It allowed us to use heterogeneous technology stacks, simplified development environment setup, simplified our testing strategy, improved our speed of delivery, and made our developers more productive. In this talk I would like to share our experience of using Docker and its positive impact on our SDLC.

Monolithic to Microservices + Docker = SDLC on Steroids! from Docker, Inc.

]]> 333 0 https://cdn.slidesharecdn.com/ss_thumbnails/ashishsharma-monolithictomicroservicesdocker-200529022145-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Kubernetes at Datadog Scale /Docker/kubernetes-at-datadog-scale arapulido-kubernetesatdatadogscale-200529022132
Ara Pulido, Datadog - Container technologies, although not new, have increased their popularity in the past few years, with container orchestrators allowing companies around the world to adopt these technologies to help them ship and scale microservices with precision and velocity. Kubernetes is currently the most popular container orchestration platform, and while many organizations are migrating their workloads to it, Kubernetes is still relatively immature. New corner cases, errors, and quirks are regularly discovered as users push the boundaries of size and scale. When Datadog adopted Kubernetes we discovered some of these boundaries the hard way, and we continuously challenge and modify our infrastructure decisions in order to fit our use case. Join me in this talk for our story on what we learned while we scaled our Kubernetes clusters, the contributions to Kubernetes we made along the way, and how you can apply those learnings when growing your Kubernetes clusters from a handful to hundreds or thousands of nodes.]]>
Ara Pulido, Datadog - Container technologies, although not new, have increased their popularity in the past few years, with container orchestrators allowing companies around the world to adopt these technologies to help them ship and scale microservices with precision and velocity. Kubernetes is currently the most popular container orchestration platform, and while many organizations are migrating their workloads to it, Kubernetes is still relatively immature. New corner cases, errors, and quirks are regularly discovered as users push the boundaries of size and scale. When Datadog adopted Kubernetes we discovered some of these boundaries the hard way, and we continuously challenge and modify our infrastructure decisions in order to fit our use case. Join me in this talk for our story on what we learned while we scaled our Kubernetes clusters, the contributions to Kubernetes we made along the way, and how you can apply those learnings when growing your Kubernetes clusters from a handful to hundreds or thousands of nodes.]]> Fri, 29 May 2020 02:21:32 GMT /Docker/kubernetes-at-datadog-scale Docker@slideshare.net(Docker) Kubernetes at Datadog Scale Docker Ara Pulido, Datadog - Container technologies, although not new, have increased their popularity in the past few years, with container orchestrators allowing companies around the world to adopt these technologies to help them ship and scale microservices with precision and velocity. Kubernetes is currently the most popular container orchestration platform, and while many organizations are migrating their workloads to it, Kubernetes is still relatively immature. New corner cases, errors, and quirks are regularly discovered as users push the boundaries of size and scale. When Datadog adopted Kubernetes we discovered some of these boundaries the hard way, and we continuously challenge and modify our infrastructure decisions in order to fit our use case. Join me in this talk for our story on what we learned while we scaled our Kubernetes clusters, the contributions to Kubernetes we made along the way, and how you can apply those learnings when growing your Kubernetes clusters from a handful to hundreds or thousands of nodes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/arapulido-kubernetesatdatadogscale-200529022132-thumbnail.jpg?width=120&height=120&fit=bounds" /> Ara Pulido, Datadog - Container technologies, although not new, have increased their popularity in the past few years, with container orchestrators allowing companies around the world to adopt these technologies to help them ship and scale microservices with precision and velocity. Kubernetes is currently the most popular container orchestration platform, and while many organizations are migrating their workloads to it, Kubernetes is still relatively immature. New corner cases, errors, and quirks are regularly discovered as users push the boundaries of size and scale. When Datadog adopted Kubernetes we discovered some of these boundaries the hard way, and we continuously challenge and modify our infrastructure decisions in order to fit our use case. Join me in this talk for our story on what we learned while we scaled our Kubernetes clusters, the contributions to Kubernetes we made along the way, and how you can apply those learnings when growing your Kubernetes clusters from a handful to hundreds or thousands of nodes.

Kubernetes at Datadog Scale from Docker, Inc.

]]> 340 0 https://cdn.slidesharecdn.com/ss_thumbnails/arapulido-kubernetesatdatadogscale-200529022132-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Labels, Labels, Labels /slideshow/labels-labels-labels/234707328 andyclemenko-labelslabelslabels-200529022131
Andy Clemenko, StackRox - One underutilized, and amazing, thing about the docker image scheme is labels. Labels are a built in way to document all aspects about the image itself. Think about all the information that the tags inside your clothing carry. If you care to look you can find out everything about the garment. All that information can be very valuable. Now think about how we can leverage labels to carry similar information. We can even use the labels to contain Docker Compose or even Kubernetes Yaml. We can even include labels into the CI/CD process making things more secure and smoother. Come find out some fun techniques on how to leverage labels to do some fun and amazing things.]]>
Andy Clemenko, StackRox - One underutilized, and amazing, thing about the docker image scheme is labels. Labels are a built in way to document all aspects about the image itself. Think about all the information that the tags inside your clothing carry. If you care to look you can find out everything about the garment. All that information can be very valuable. Now think about how we can leverage labels to carry similar information. We can even use the labels to contain Docker Compose or even Kubernetes Yaml. We can even include labels into the CI/CD process making things more secure and smoother. Come find out some fun techniques on how to leverage labels to do some fun and amazing things.]]> Fri, 29 May 2020 02:21:31 GMT /slideshow/labels-labels-labels/234707328 Docker@slideshare.net(Docker) Labels, Labels, Labels Docker Andy Clemenko, StackRox - One underutilized, and amazing, thing about the docker image scheme is labels. Labels are a built in way to document all aspects about the image itself. Think about all the information that the tags inside your clothing carry. If you care to look you can find out everything about the garment. All that information can be very valuable. Now think about how we can leverage labels to carry similar information. We can even use the labels to contain Docker Compose or even Kubernetes Yaml. We can even include labels into the CI/CD process making things more secure and smoother. Come find out some fun techniques on how to leverage labels to do some fun and amazing things. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/andyclemenko-labelslabelslabels-200529022131-thumbnail.jpg?width=120&height=120&fit=bounds" /> Andy Clemenko, StackRox - One underutilized, and amazing, thing about the docker image scheme is labels. Labels are a built in way to document all aspects about the image itself. Think about all the information that the tags inside your clothing carry. If you care to look you can find out everything about the garment. All that information can be very valuable. Now think about how we can leverage labels to carry similar information. We can even use the labels to contain Docker Compose or even Kubernetes Yaml. We can even include labels into the CI/CD process making things more secure and smoother. Come find out some fun techniques on how to leverage labels to do some fun and amazing things.

Labels, Labels, Labels from Docker, Inc.

]]> 229 0 https://cdn.slidesharecdn.com/ss_thumbnails/andyclemenko-labelslabelslabels-200529022131-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model /slideshow/using-docker-hub-at-scale-to-support-micro-focus-delivery-and-deployment-model/234707327 patrickdeloulay-usingdockerhubatscaletosupport-200529022128
Patrick Deloulay, Micro Focus - Micro Focus started their digital transformation 3 years ago, moving the entire portfolio into hundreds of container images. Leveraging Docker Hub as our primary registry service, we will cover how we ended up building a simple but secure push/pull model to publish and deliver our premium assets to our customers and partners to both meet the high agility of our DevOps teams while greatly simplifying the deployment of our applications.]]>
Patrick Deloulay, Micro Focus - Micro Focus started their digital transformation 3 years ago, moving the entire portfolio into hundreds of container images. Leveraging Docker Hub as our primary registry service, we will cover how we ended up building a simple but secure push/pull model to publish and deliver our premium assets to our customers and partners to both meet the high agility of our DevOps teams while greatly simplifying the deployment of our applications.]]> Fri, 29 May 2020 02:21:28 GMT /slideshow/using-docker-hub-at-scale-to-support-micro-focus-delivery-and-deployment-model/234707327 Docker@slideshare.net(Docker) Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model Docker Patrick Deloulay, Micro Focus - Micro Focus started their digital transformation 3 years ago, moving the entire portfolio into hundreds of container images. Leveraging Docker Hub as our primary registry service, we will cover how we ended up building a simple but secure push/pull model to publish and deliver our premium assets to our customers and partners to both meet the high agility of our DevOps teams while greatly simplifying the deployment of our applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/patrickdeloulay-usingdockerhubatscaletosupport-200529022128-thumbnail.jpg?width=120&height=120&fit=bounds" /> Patrick Deloulay, Micro Focus - Micro Focus started their digital transformation 3 years ago, moving the entire portfolio into hundreds of container images. Leveraging Docker Hub as our primary registry service, we will cover how we ended up building a simple but secure push/pull model to publish and deliver our premium assets to our customers and partners to both meet the high agility of our DevOps teams while greatly simplifying the deployment of our applications.

Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model from Docker, Inc.

]]> 219 0 https://cdn.slidesharecdn.com/ss_thumbnails/patrickdeloulay-usingdockerhubatscaletosupport-200529022128-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Build & Deploy Multi-Container Applications to AWS /slideshow/build-deploy-multicontainer-applications-to-aws/234695122 lukondemwila-builddeploymulti-containerappstoaws-200528185508
Lukonde Mwila, Entelect As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.]]>
Lukonde Mwila, Entelect As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.]]> Thu, 28 May 2020 18:55:08 GMT /slideshow/build-deploy-multicontainer-applications-to-aws/234695122 Docker@slideshare.net(Docker) Build & Deploy Multi-Container Applications to AWS Docker Lukonde Mwila, Entelect As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lukondemwila-builddeploymulti-containerappstoaws-200528185508-thumbnail.jpg?width=120&height=120&fit=bounds" /> Lukonde Mwila, Entelect As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.

Build & Deploy Multi-Container Applications to AWS from Docker, Inc.

]]> 438 0 https://cdn.slidesharecdn.com/ss_thumbnails/lukondemwila-builddeploymulti-containerappstoaws-200528185508-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration Story /slideshow/from-fortran-on-the-desktop-to-kubernetes-in-the-cloud-a-windows-migration-story/234695114 eltonstoneman-fromfortranonthedesktotokubernetes-200528185448
Elton Stoneman, Docker Captain + Container Consultant and Trainer How do you provide a SaaS offering when your product is a 10-year old Fortran app, currently built to run on Windows 10? With Docker and Kubernetes of course - and you can do it in a week (... to prototype level at least). In this session I'll walk through the processes and practicalities of taking an older Windows app, making it run in containers with Kubernetes, and then building a simple API wrapper to host the whole stack as a cloud-based SaaS product. There's a lot of technology here from a real world case study, and I'll focus on: - running Windows apps in Docker containers - building a .NET Core API which can run in Linux or Windows containers - running the stack in Kubernetes with Docker Desktop locally and AKS in the cloud - configuring AKS workloads in Azure to burst out to Azure Container Instances And there's a core theme to this session: Docker and Kubernetes are complex technologies, but they're the key to modern development. If you invest time learning them, they make projects like this simple, portable, fast and fun.]]>
Elton Stoneman, Docker Captain + Container Consultant and Trainer How do you provide a SaaS offering when your product is a 10-year old Fortran app, currently built to run on Windows 10? With Docker and Kubernetes of course - and you can do it in a week (... to prototype level at least). In this session I'll walk through the processes and practicalities of taking an older Windows app, making it run in containers with Kubernetes, and then building a simple API wrapper to host the whole stack as a cloud-based SaaS product. There's a lot of technology here from a real world case study, and I'll focus on: - running Windows apps in Docker containers - building a .NET Core API which can run in Linux or Windows containers - running the stack in Kubernetes with Docker Desktop locally and AKS in the cloud - configuring AKS workloads in Azure to burst out to Azure Container Instances And there's a core theme to this session: Docker and Kubernetes are complex technologies, but they're the key to modern development. If you invest time learning them, they make projects like this simple, portable, fast and fun.]]> Thu, 28 May 2020 18:54:48 GMT /slideshow/from-fortran-on-the-desktop-to-kubernetes-in-the-cloud-a-windows-migration-story/234695114 Docker@slideshare.net(Docker) From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration Story Docker Elton Stoneman, Docker Captain + Container Consultant and Trainer How do you provide a SaaS offering when your product is a 10-year old Fortran app, currently built to run on Windows 10? With Docker and Kubernetes of course - and you can do it in a week (... to prototype level at least). In this session I'll walk through the processes and practicalities of taking an older Windows app, making it run in containers with Kubernetes, and then building a simple API wrapper to host the whole stack as a cloud-based SaaS product. There's a lot of technology here from a real world case study, and I'll focus on: - running Windows apps in Docker containers - building a .NET Core API which can run in Linux or Windows containers - running the stack in Kubernetes with Docker Desktop locally and AKS in the cloud - configuring AKS workloads in Azure to burst out to Azure Container Instances And there's a core theme to this session: Docker and Kubernetes are complex technologies, but they're the key to modern development. If you invest time learning them, they make projects like this simple, portable, fast and fun. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eltonstoneman-fromfortranonthedesktotokubernetes-200528185448-thumbnail.jpg?width=120&height=120&fit=bounds" /> Elton Stoneman, Docker Captain + Container Consultant and Trainer How do you provide a SaaS offering when your product is a 10-year old Fortran app, currently built to run on Windows 10? With Docker and Kubernetes of course - and you can do it in a week (... to prototype level at least). In this session I'll walk through the processes and practicalities of taking an older Windows app, making it run in containers with Kubernetes, and then building a simple API wrapper to host the whole stack as a cloud-based SaaS product. There's a lot of technology here from a real world case study, and I'll focus on: - running Windows apps in Docker containers - building a .NET Core API which can run in Linux or Windows containers - running the stack in Kubernetes with Docker Desktop locally and AKS in the cloud - configuring AKS workloads in Azure to burst out to Azure Container Instances And there's a core theme to this session: Docker and Kubernetes are complex technologies, but they're the key to modern development. If you invest time learning them, they make projects like this simple, portable, fast and fun.

From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration Story from Docker, Inc.

]]> 370 0 https://cdn.slidesharecdn.com/ss_thumbnails/eltonstoneman-fromfortranonthedesktotokubernetes-200528185448-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Developing with Docker for the Arm Architecture /slideshow/developing-with-docker-for-the-arm-architecture/207039866 armdockernov5meetup-191218053242
This virtual meetup introduces the concepts and best practices of using Docker containers for software development for the Arm architecture across a variety of hardware systems. Using Docker Desktop on Windows or Mac, Amazon Web Services (AWS) A1 instances, and embedded Linux, we will demonstrate the latest Docker features to build, share, and run multi-architecture images with transparent support for Arm.]]>
This virtual meetup introduces the concepts and best practices of using Docker containers for software development for the Arm architecture across a variety of hardware systems. Using Docker Desktop on Windows or Mac, Amazon Web Services (AWS) A1 instances, and embedded Linux, we will demonstrate the latest Docker features to build, share, and run multi-architecture images with transparent support for Arm.]]> Wed, 18 Dec 2019 05:32:42 GMT /slideshow/developing-with-docker-for-the-arm-architecture/207039866 Docker@slideshare.net(Docker) Developing with Docker for the Arm Architecture Docker This virtual meetup introduces the concepts and best practices of using Docker containers for software development for the Arm architecture across a variety of hardware systems. Using Docker Desktop on Windows or Mac, Amazon Web Services (AWS) A1 instances, and embedded Linux, we will demonstrate the latest Docker features to build, share, and run multi-architecture images with transparent support for Arm. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/armdockernov5meetup-191218053242-thumbnail.jpg?width=120&height=120&fit=bounds" /> This virtual meetup introduces the concepts and best practices of using Docker containers for software development for the Arm architecture across a variety of hardware systems. Using Docker Desktop on Windows or Mac, Amazon Web Services (AWS) A1 instances, and embedded Linux, we will demonstrate the latest Docker features to build, share, and run multi-architecture images with transparent support for Arm.

Developing with Docker for the Arm Architecture from Docker, Inc.

]]> 2250 4 https://cdn.slidesharecdn.com/ss_thumbnails/armdockernov5meetup-191218053242-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 https://cdn.slidesharecdn.com/profile-photo-Docker-48x48.jpg?cb=1674844020 Docker, the leader in the container platform market, enables developers and IT operations to build, secure and manage applications without technology or infrastructure lock in. By bringing together traditional applications and microservices built on Windows, Linux and mainframe under one operating model, Docker’s container platform enables the world’s largest companies to accelerate key digital initiatives including cloud migration, application modernization and edge computing. For more information, please visit: https://www.docker.com/. www.docker.com/ https://cdn.slidesharecdn.com/ss_thumbnails/raymondarifiantomarkmandel-containerizeyourgameserver-200529022313-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/containerize-your-game-server-for-the-best-multiplayer-experience/234707373 Containerize Your Game... https://cdn.slidesharecdn.com/ss_thumbnails/nicholasdille-howtoimproveyourimagebuilds-200529022310-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/how-to-improve-your-image-builds-using-advance-docker-build/234707372 How to Improve Your Im... https://cdn.slidesharecdn.com/ss_thumbnails/lukondemwila-builddeploymulti-containerappstoaws-200529022309-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/build-deploy-multicontainer-applications-to-aws-234707370/234707370 Build & Deploy Multi-C...