ºÝºÝߣshows by User: aspyker / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: aspyker / Thu, 19 Nov 2020 04:20:11 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: aspyker Herding Kats - Netflix’s Journey to Kubernetes Public /slideshow/herding-kats-netflixs-journey-to-kubernetes-public/239328021 a-201119042011
An update from Netflix Compute's container management platform, Titus, covering the work to move from Mesos to Kubernetes. Lessons learned, next steps, and challenges.]]>

An update from Netflix Compute's container management platform, Titus, covering the work to move from Mesos to Kubernetes. Lessons learned, next steps, and challenges.]]>
Thu, 19 Nov 2020 04:20:11 GMT /slideshow/herding-kats-netflixs-journey-to-kubernetes-public/239328021 aspyker@slideshare.net(aspyker) Herding Kats - Netflix’s Journey to Kubernetes Public aspyker An update from Netflix Compute's container management platform, Titus, covering the work to move from Mesos to Kubernetes. Lessons learned, next steps, and challenges. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/a-201119042011-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> An update from Netflix Compute&#39;s container management platform, Titus, covering the work to move from Mesos to Kubernetes. Lessons learned, next steps, and challenges.
Herding Kats - Netflix’s Journey to Kubernetes Public from aspyker
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Season 7 Episode 1 - Tools for Data Scientists /slideshow/season-7-episode-1-tools-for-data-scientists/230692192 netflixossmeetupfeb112020-200323015415
Metaflow (Ville Tuulos) Data scientists at Netflix are expected to develop and operate large machine learning workflows autonomously. However, we do not expect that all our scientists are deeply experienced with distributed systems and data engineering. Metaflow was created to make it delightfully easy to build and operate ML workflows in the cloud using idiomatic Python and off-the-shelf ML libraries, covering the whole lifecycle of an ML project from prototype to production. Polynote (Jeremy Smith) Polynote is a new notebook tool we created from scratch to address some of the pain points we've run into while using Scala in machine-learning notebooks at Netflix. It provides essential code editing features other tools lack like interactive auto-completes, support for mixing multiple languages and sharing data between them within a single notebook, and encourages reproducible notebooks with its immutable data model. Papermill (Matthew Seal) Nteract is an open source organization under which there are several libraries and applications that Netflix and many other companies and individuals contribute to. One of these libraries is Papermill, a library used to programmatically parameterize and execute Jupyter Notebooks. Papermill provides a CLI and Python interface that we'll explore during the session to see how it can be used and what value it adds. Using this pattern we'll also briefly talk about how we've integrated papermill at Netflix and how it interfaces with other Jupyter and nteract services.]]>

Metaflow (Ville Tuulos) Data scientists at Netflix are expected to develop and operate large machine learning workflows autonomously. However, we do not expect that all our scientists are deeply experienced with distributed systems and data engineering. Metaflow was created to make it delightfully easy to build and operate ML workflows in the cloud using idiomatic Python and off-the-shelf ML libraries, covering the whole lifecycle of an ML project from prototype to production. Polynote (Jeremy Smith) Polynote is a new notebook tool we created from scratch to address some of the pain points we've run into while using Scala in machine-learning notebooks at Netflix. It provides essential code editing features other tools lack like interactive auto-completes, support for mixing multiple languages and sharing data between them within a single notebook, and encourages reproducible notebooks with its immutable data model. Papermill (Matthew Seal) Nteract is an open source organization under which there are several libraries and applications that Netflix and many other companies and individuals contribute to. One of these libraries is Papermill, a library used to programmatically parameterize and execute Jupyter Notebooks. Papermill provides a CLI and Python interface that we'll explore during the session to see how it can be used and what value it adds. Using this pattern we'll also briefly talk about how we've integrated papermill at Netflix and how it interfaces with other Jupyter and nteract services.]]>
Mon, 23 Mar 2020 01:54:15 GMT /slideshow/season-7-episode-1-tools-for-data-scientists/230692192 aspyker@slideshare.net(aspyker) Season 7 Episode 1 - Tools for Data Scientists aspyker Metaflow (Ville Tuulos) Data scientists at Netflix are expected to develop and operate large machine learning workflows autonomously. However, we do not expect that all our scientists are deeply experienced with distributed systems and data engineering. Metaflow was created to make it delightfully easy to build and operate ML workflows in the cloud using idiomatic Python and off-the-shelf ML libraries, covering the whole lifecycle of an ML project from prototype to production. Polynote (Jeremy Smith) Polynote is a new notebook tool we created from scratch to address some of the pain points we've run into while using Scala in machine-learning notebooks at Netflix. It provides essential code editing features other tools lack like interactive auto-completes, support for mixing multiple languages and sharing data between them within a single notebook, and encourages reproducible notebooks with its immutable data model. Papermill (Matthew Seal) Nteract is an open source organization under which there are several libraries and applications that Netflix and many other companies and individuals contribute to. One of these libraries is Papermill, a library used to programmatically parameterize and execute Jupyter Notebooks. Papermill provides a CLI and Python interface that we'll explore during the session to see how it can be used and what value it adds. Using this pattern we'll also briefly talk about how we've integrated papermill at Netflix and how it interfaces with other Jupyter and nteract services. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netflixossmeetupfeb112020-200323015415-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Metaflow (Ville Tuulos) Data scientists at Netflix are expected to develop and operate large machine learning workflows autonomously. However, we do not expect that all our scientists are deeply experienced with distributed systems and data engineering. Metaflow was created to make it delightfully easy to build and operate ML workflows in the cloud using idiomatic Python and off-the-shelf ML libraries, covering the whole lifecycle of an ML project from prototype to production. Polynote (Jeremy Smith) Polynote is a new notebook tool we created from scratch to address some of the pain points we&#39;ve run into while using Scala in machine-learning notebooks at Netflix. It provides essential code editing features other tools lack like interactive auto-completes, support for mixing multiple languages and sharing data between them within a single notebook, and encourages reproducible notebooks with its immutable data model. Papermill (Matthew Seal) Nteract is an open source organization under which there are several libraries and applications that Netflix and many other companies and individuals contribute to. One of these libraries is Papermill, a library used to programmatically parameterize and execute Jupyter Notebooks. Papermill provides a CLI and Python interface that we&#39;ll explore during the session to see how it can be used and what value it adds. Using this pattern we&#39;ll also briefly talk about how we&#39;ve integrated papermill at Netflix and how it interfaces with other Jupyter and nteract services.
Season 7 Episode 1 - Tools for Data Scientists from aspyker
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CMP376 - Another Week, Another Million Containers on Amazon EC2 /slideshow/cmp376-another-week-another-million-containers-on-amazon-ec2/124447276 cmp376-final-181130003507
Netflix’s container management platform, Titus, powers critical aspects of the Netflix business, including video streaming, recommendations, machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Titus offers a convenient model for managing compute resources, enables developers to maintain just their application artifacts, and provides a consistent developer experience from a developer’s laptop to production by leveraging Netflix container-focused engineering tools.]]>

Netflix’s container management platform, Titus, powers critical aspects of the Netflix business, including video streaming, recommendations, machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Titus offers a convenient model for managing compute resources, enables developers to maintain just their application artifacts, and provides a consistent developer experience from a developer’s laptop to production by leveraging Netflix container-focused engineering tools.]]>
Fri, 30 Nov 2018 00:35:07 GMT /slideshow/cmp376-another-week-another-million-containers-on-amazon-ec2/124447276 aspyker@slideshare.net(aspyker) CMP376 - Another Week, Another Million Containers on Amazon EC2 aspyker Netflix’s container management platform, Titus, powers critical aspects of the Netflix business, including video streaming, recommendations, machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Titus offers a convenient model for managing compute resources, enables developers to maintain just their application artifacts, and provides a consistent developer experience from a developer’s laptop to production by leveraging Netflix container-focused engineering tools. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cmp376-final-181130003507-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Netflix’s container management platform, Titus, powers critical aspects of the Netflix business, including video streaming, recommendations, machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Titus offers a convenient model for managing compute resources, enables developers to maintain just their application artifacts, and provides a consistent developer experience from a developer’s laptop to production by leveraging Netflix container-focused engineering tools.
CMP376 - Another Week, Another Million Containers on Amazon EC2 from aspyker
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QConSF18 - Disenchantment: Netflix Titus, its Feisty Team, and Daemons /slideshow/qconsf18-disenchantment-netflix-titus-its-feisty-team-and-daemons/122190420 qconsf2018-titusdisenchantment-181106212823
Disenchantment is a Netflix show following the medieval misadventures of a hard-drinking princess, her feisty elf, and her personal demon. In this talk, we will follow the story of Netflix’s container management platform, Titus, which powers critical aspects of the Netflix business (video encoding & streaming, big data, recommendations & machine learning, and other workloads). We’ll cover the challenges growing Titus from 10’s to 1000’s of workloads. We’ll talk about our feisty team’s work across container runtimes, scheduling & control plane, and cloud infrastructure integration. We’ll talk about the demons we’ve found on this journey covering operability, security, reliability and performance.]]>

Disenchantment is a Netflix show following the medieval misadventures of a hard-drinking princess, her feisty elf, and her personal demon. In this talk, we will follow the story of Netflix’s container management platform, Titus, which powers critical aspects of the Netflix business (video encoding & streaming, big data, recommendations & machine learning, and other workloads). We’ll cover the challenges growing Titus from 10’s to 1000’s of workloads. We’ll talk about our feisty team’s work across container runtimes, scheduling & control plane, and cloud infrastructure integration. We’ll talk about the demons we’ve found on this journey covering operability, security, reliability and performance.]]>
Tue, 06 Nov 2018 21:28:22 GMT /slideshow/qconsf18-disenchantment-netflix-titus-its-feisty-team-and-daemons/122190420 aspyker@slideshare.net(aspyker) QConSF18 - Disenchantment: Netflix Titus, its Feisty Team, and Daemons aspyker Disenchantment is a Netflix show following the medieval misadventures of a hard-drinking princess, her feisty elf, and her personal demon. In this talk, we will follow the story of Netflix’s container management platform, Titus, which powers critical aspects of the Netflix business (video encoding & streaming, big data, recommendations & machine learning, and other workloads). We’ll cover the challenges growing Titus from 10’s to 1000’s of workloads. We’ll talk about our feisty team’s work across container runtimes, scheduling & control plane, and cloud infrastructure integration. We’ll talk about the demons we’ve found on this journey covering operability, security, reliability and performance. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/qconsf2018-titusdisenchantment-181106212823-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Disenchantment is a Netflix show following the medieval misadventures of a hard-drinking princess, her feisty elf, and her personal demon. In this talk, we will follow the story of Netflix’s container management platform, Titus, which powers critical aspects of the Netflix business (video encoding &amp; streaming, big data, recommendations &amp; machine learning, and other workloads). We’ll cover the challenges growing Titus from 10’s to 1000’s of workloads. We’ll talk about our feisty team’s work across container runtimes, scheduling &amp; control plane, and cloud infrastructure integration. We’ll talk about the demons we’ve found on this journey covering operability, security, reliability and performance.
QConSF18 - Disenchantment: Netflix Titus, its Feisty Team, and Daemons from aspyker
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NetflixOSS Meetup S6E2 - Spinnaker, Kayenta /aspyker/netflixoss-meetup-s6e1-spinnaker-kayenta netflixossmeetupseason6episode2-180830172254
In this episode, we will focus on continuous delivery and how Netflix uses Spinnaker and Kayenta to safely deliver changes to the cloud and beyond. Kayenta is a platform for Automated Canary Analysis (ACA). It is used by Spinnaker to enable automated canary deployments. We will also discuss how Spinnaker is used at Netflix to deploy targets beyond cloud VMs and containers --- batch jobs, CDNs, fast properties and Open Connect appliances.]]>

In this episode, we will focus on continuous delivery and how Netflix uses Spinnaker and Kayenta to safely deliver changes to the cloud and beyond. Kayenta is a platform for Automated Canary Analysis (ACA). It is used by Spinnaker to enable automated canary deployments. We will also discuss how Spinnaker is used at Netflix to deploy targets beyond cloud VMs and containers --- batch jobs, CDNs, fast properties and Open Connect appliances.]]>
Thu, 30 Aug 2018 17:22:54 GMT /aspyker/netflixoss-meetup-s6e1-spinnaker-kayenta aspyker@slideshare.net(aspyker) NetflixOSS Meetup S6E2 - Spinnaker, Kayenta aspyker In this episode, we will focus on continuous delivery and how Netflix uses Spinnaker and Kayenta to safely deliver changes to the cloud and beyond. Kayenta is a platform for Automated Canary Analysis (ACA). It is used by Spinnaker to enable automated canary deployments. We will also discuss how Spinnaker is used at Netflix to deploy targets beyond cloud VMs and containers --- batch jobs, CDNs, fast properties and Open Connect appliances. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netflixossmeetupseason6episode2-180830172254-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this episode, we will focus on continuous delivery and how Netflix uses Spinnaker and Kayenta to safely deliver changes to the cloud and beyond. Kayenta is a platform for Automated Canary Analysis (ACA). It is used by Spinnaker to enable automated canary deployments. We will also discuss how Spinnaker is used at Netflix to deploy targets beyond cloud VMs and containers --- batch jobs, CDNs, fast properties and Open Connect appliances.
NetflixOSS Meetup S6E2 - Spinnaker, Kayenta from aspyker
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NetflixOSS Meetup S6E1 - Titus & Containers /slideshow/netflixoss-meetup-s6e1-titus-containers/94425453 netflixossmeetupseason6episode1-180420053606
Come hear about our container management platform, Titus. Titus launches over 2 millions containers per week for service and batch workloads. Come to learn what applications are powered by Titus and what values the developers are getting from containers. Also, we will cover some of the Titus unique aspects of reliability, control plane, scheduling, and container runtime technologies. We will also cover our integrations with Netflix systems such as Spinnaker as well as Amazon concepts such as VPC and IAM. https://www.meetup.com/Netflix-Open-Source-Platform/events/247776324/]]>

Come hear about our container management platform, Titus. Titus launches over 2 millions containers per week for service and batch workloads. Come to learn what applications are powered by Titus and what values the developers are getting from containers. Also, we will cover some of the Titus unique aspects of reliability, control plane, scheduling, and container runtime technologies. We will also cover our integrations with Netflix systems such as Spinnaker as well as Amazon concepts such as VPC and IAM. https://www.meetup.com/Netflix-Open-Source-Platform/events/247776324/]]>
Fri, 20 Apr 2018 05:36:06 GMT /slideshow/netflixoss-meetup-s6e1-titus-containers/94425453 aspyker@slideshare.net(aspyker) NetflixOSS Meetup S6E1 - Titus & Containers aspyker Come hear about our container management platform, Titus. Titus launches over 2 millions containers per week for service and batch workloads. Come to learn what applications are powered by Titus and what values the developers are getting from containers. Also, we will cover some of the Titus unique aspects of reliability, control plane, scheduling, and container runtime technologies. We will also cover our integrations with Netflix systems such as Spinnaker as well as Amazon concepts such as VPC and IAM. https://www.meetup.com/Netflix-Open-Source-Platform/events/247776324/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netflixossmeetupseason6episode1-180420053606-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Come hear about our container management platform, Titus. Titus launches over 2 millions containers per week for service and batch workloads. Come to learn what applications are powered by Titus and what values the developers are getting from containers. Also, we will cover some of the Titus unique aspects of reliability, control plane, scheduling, and container runtime technologies. We will also cover our integrations with Netflix systems such as Spinnaker as well as Amazon concepts such as VPC and IAM. https://www.meetup.com/Netflix-Open-Source-Platform/events/247776324/
NetflixOSS Meetup S6E1 - Titus & Containers from aspyker
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SRECon Lightning Talk /slideshow/srecon-lightning-talk/92327711 srecon-180329153007
ºÝºÝߣs for SRECon 2018 talk on https://medium.com/@awspyker/why-as-a-netflix-infrastructure-manager-am-i-on-call-bdc551ac01fe]]>

ºÝºÝߣs for SRECon 2018 talk on https://medium.com/@awspyker/why-as-a-netflix-infrastructure-manager-am-i-on-call-bdc551ac01fe]]>
Thu, 29 Mar 2018 15:30:07 GMT /slideshow/srecon-lightning-talk/92327711 aspyker@slideshare.net(aspyker) SRECon Lightning Talk aspyker ºÝºÝߣs for SRECon 2018 talk on https://medium.com/@awspyker/why-as-a-netflix-infrastructure-manager-am-i-on-call-bdc551ac01fe <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/srecon-180329153007-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs for SRECon 2018 talk on https://medium.com/@awspyker/why-as-a-netflix-infrastructure-manager-am-i-on-call-bdc551ac01fe
SRECon Lightning Talk from aspyker
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Container World 2018 /aspyker/container-world-2018 netflixcontainerworld2018-180228154314
Running Containers at Scale at Netflix. An update on the usage of containers at Netflix. Technical discussions on new features and concepts we've added across container scheduling and execution.]]>

Running Containers at Scale at Netflix. An update on the usage of containers at Netflix. Technical discussions on new features and concepts we've added across container scheduling and execution.]]>
Wed, 28 Feb 2018 15:43:14 GMT /aspyker/container-world-2018 aspyker@slideshare.net(aspyker) Container World 2018 aspyker Running Containers at Scale at Netflix. An update on the usage of containers at Netflix. Technical discussions on new features and concepts we've added across container scheduling and execution. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netflixcontainerworld2018-180228154314-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Running Containers at Scale at Netflix. An update on the usage of containers at Netflix. Technical discussions on new features and concepts we&#39;ve added across container scheduling and execution.
Container World 2018 from aspyker
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Netflix Cloud Architecture and Open Source /slideshow/netflix-cloud-architecture-and-open-source-81035482/81035482 netflixarchandosswasp-171020232555
An updated view of the Netflix cloud platform and Netflix Open Source.]]>

An updated view of the Netflix cloud platform and Netflix Open Source.]]>
Fri, 20 Oct 2017 23:25:55 GMT /slideshow/netflix-cloud-architecture-and-open-source-81035482/81035482 aspyker@slideshare.net(aspyker) Netflix Cloud Architecture and Open Source aspyker An updated view of the Netflix cloud platform and Netflix Open Source. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netflixarchandosswasp-171020232555-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> An updated view of the Netflix cloud platform and Netflix Open Source.
Netflix Cloud Architecture and Open Source from aspyker
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Netflix OSS Meetup Season 5 Episode 1 /slideshow/netflix-oss-meetup-season-5-episode-1/80352595 netflixossmeetupseason5episode1-finalcopy-171002075018
Topics: • RepoKid Netflix’s Open-source Strategy to Rightsizing Cloud Permissions at Scale • BetterTLS A test suite for HTTPS clients implementing verification of the Name Constraints certificate extension • Authorization at Netflix Netflix’s architecture for implementing Authorization at scale • Open Policy Agent An open source, general-purpose policy engine that enables unified, context-aware policy enforcement across the entire stack. (www.openpolicyagent.org) • Introducing PADME (Policy Access Decision Management Engine) A modern policy management for distributed heterogenous systems. (www.padme.io) Demo Stations: • Stethoscope Personalized, user-focused recommendations for employee information security. • HubCommander Slack bot for GitHub organization management -- and other things too! • Open Policy Agent An open source, general-purpose policy engine that enables unified, context-aware policy enforcement across the entire stack. ]]>

Topics: • RepoKid Netflix’s Open-source Strategy to Rightsizing Cloud Permissions at Scale • BetterTLS A test suite for HTTPS clients implementing verification of the Name Constraints certificate extension • Authorization at Netflix Netflix’s architecture for implementing Authorization at scale • Open Policy Agent An open source, general-purpose policy engine that enables unified, context-aware policy enforcement across the entire stack. (www.openpolicyagent.org) • Introducing PADME (Policy Access Decision Management Engine) A modern policy management for distributed heterogenous systems. (www.padme.io) Demo Stations: • Stethoscope Personalized, user-focused recommendations for employee information security. • HubCommander Slack bot for GitHub organization management -- and other things too! • Open Policy Agent An open source, general-purpose policy engine that enables unified, context-aware policy enforcement across the entire stack. ]]>
Mon, 02 Oct 2017 07:50:18 GMT /slideshow/netflix-oss-meetup-season-5-episode-1/80352595 aspyker@slideshare.net(aspyker) Netflix OSS Meetup Season 5 Episode 1 aspyker Topics: • RepoKid Netflix’s Open-source Strategy to Rightsizing Cloud Permissions at Scale • BetterTLS A test suite for HTTPS clients implementing verification of the Name Constraints certificate extension • Authorization at Netflix Netflix’s architecture for implementing Authorization at scale • Open Policy Agent An open source, general-purpose policy engine that enables unified, context-aware policy enforcement across the entire stack. (www.openpolicyagent.org) • Introducing PADME (Policy Access Decision Management Engine) A modern policy management for distributed heterogenous systems. (www.padme.io) Demo Stations: • Stethoscope Personalized, user-focused recommendations for employee information security. • HubCommander Slack bot for GitHub organization management -- and other things too! • Open Policy Agent An open source, general-purpose policy engine that enables unified, context-aware policy enforcement across the entire stack. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netflixossmeetupseason5episode1-finalcopy-171002075018-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Topics: • RepoKid Netflix’s Open-source Strategy to Rightsizing Cloud Permissions at Scale • BetterTLS A test suite for HTTPS clients implementing verification of the Name Constraints certificate extension • Authorization at Netflix Netflix’s architecture for implementing Authorization at scale • Open Policy Agent An open source, general-purpose policy engine that enables unified, context-aware policy enforcement across the entire stack. (www.openpolicyagent.org) • Introducing PADME (Policy Access Decision Management Engine) A modern policy management for distributed heterogenous systems. (www.padme.io) Demo Stations: • Stethoscope Personalized, user-focused recommendations for employee information security. • HubCommander Slack bot for GitHub organization management -- and other things too! • Open Policy Agent An open source, general-purpose policy engine that enables unified, context-aware policy enforcement across the entire stack.
Netflix OSS Meetup Season 5 Episode 1 from aspyker
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Series of Unfortunate Netflix Container Events - QConNYC17 /slideshow/series-of-unfortunate-netflix-container-events-qconnyc17/77342647 netflix-containers-qconnyc2017-170628160036
Project Titus is Netflix's container runtime on top of Amazon EC2. Titus powers algorithm research through massively parallel model training, media encoding, data research notebooks, ad hoc reporting, NodeJS UI services, stream processing and general micro-services. As an update from last year's talk, we will focus on the lessons learned operating one of the largest container runtimes on a public cloud. We'll cover the migration we've seen of applications and frameworks from VM's to containers. We will cover the operational issues with containers that only showed after we reached the large scale (1000's of container hosts, 100's of thousands of containers launched weekly) we are currently supporting. We'll touch base on the unique features we have added to help both batch and microservices run across a variety of runtimes (Java, R, NodeJS, Python, etc) and how higher level frameworks have taken advantage of Titus's scheduling capabilities. ]]>

Project Titus is Netflix's container runtime on top of Amazon EC2. Titus powers algorithm research through massively parallel model training, media encoding, data research notebooks, ad hoc reporting, NodeJS UI services, stream processing and general micro-services. As an update from last year's talk, we will focus on the lessons learned operating one of the largest container runtimes on a public cloud. We'll cover the migration we've seen of applications and frameworks from VM's to containers. We will cover the operational issues with containers that only showed after we reached the large scale (1000's of container hosts, 100's of thousands of containers launched weekly) we are currently supporting. We'll touch base on the unique features we have added to help both batch and microservices run across a variety of runtimes (Java, R, NodeJS, Python, etc) and how higher level frameworks have taken advantage of Titus's scheduling capabilities. ]]>
Wed, 28 Jun 2017 16:00:36 GMT /slideshow/series-of-unfortunate-netflix-container-events-qconnyc17/77342647 aspyker@slideshare.net(aspyker) Series of Unfortunate Netflix Container Events - QConNYC17 aspyker Project Titus is Netflix's container runtime on top of Amazon EC2. Titus powers algorithm research through massively parallel model training, media encoding, data research notebooks, ad hoc reporting, NodeJS UI services, stream processing and general micro-services. As an update from last year's talk, we will focus on the lessons learned operating one of the largest container runtimes on a public cloud. We'll cover the migration we've seen of applications and frameworks from VM's to containers. We will cover the operational issues with containers that only showed after we reached the large scale (1000's of container hosts, 100's of thousands of containers launched weekly) we are currently supporting. We'll touch base on the unique features we have added to help both batch and microservices run across a variety of runtimes (Java, R, NodeJS, Python, etc) and how higher level frameworks have taken advantage of Titus's scheduling capabilities. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netflix-containers-qconnyc2017-170628160036-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Project Titus is Netflix&#39;s container runtime on top of Amazon EC2. Titus powers algorithm research through massively parallel model training, media encoding, data research notebooks, ad hoc reporting, NodeJS UI services, stream processing and general micro-services. As an update from last year&#39;s talk, we will focus on the lessons learned operating one of the largest container runtimes on a public cloud. We&#39;ll cover the migration we&#39;ve seen of applications and frameworks from VM&#39;s to containers. We will cover the operational issues with containers that only showed after we reached the large scale (1000&#39;s of container hosts, 100&#39;s of thousands of containers launched weekly) we are currently supporting. We&#39;ll touch base on the unique features we have added to help both batch and microservices run across a variety of runtimes (Java, R, NodeJS, Python, etc) and how higher level frameworks have taken advantage of Titus&#39;s scheduling capabilities.
Series of Unfortunate Netflix Container Events - QConNYC17 from aspyker
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Netflix OSS Meetup Season 4 Episode 4 /aspyker/netflix-oss-meetup-season-4-episode-4 netflixossmeetupseason4episode4-161208170640
In this episode, we will focus on open sourcing how we run Netflix's open source program. Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program.]]>

In this episode, we will focus on open sourcing how we run Netflix's open source program. Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program.]]>
Thu, 08 Dec 2016 17:06:40 GMT /aspyker/netflix-oss-meetup-season-4-episode-4 aspyker@slideshare.net(aspyker) Netflix OSS Meetup Season 4 Episode 4 aspyker In this episode, we will focus on open sourcing how we run Netflix's open source program. Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netflixossmeetupseason4episode4-161208170640-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this episode, we will focus on open sourcing how we run Netflix&#39;s open source program. Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program.
Netflix OSS Meetup Season 4 Episode 4 from aspyker
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Re:invent 2016 Container Scheduling, Execution and AWS Integration /slideshow/reinvent-2016-container-scheduling-execution-and-aws-integration/69841814 final-reinvent2016-titus-20161123-161205165957
Members from over all over the world streamed over forty-two billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this session, Netflix presents a deep dive on the motivations and the technology powering container deployment on top of Amazon Web Services. The session covers our approach to resource management and scheduling with the open source Fenzo library, along with details of how we integrate Docker and Netflix container scheduling running on AWS. We cover the approach we have taken to deliver AWS platform features to containers such as IAM roles, VPCs, security groups, metadata proxies, and user data. We want to take advantage of native AWS container resource management using Amazon ECS to reduce operational responsibilities. We are delivering these integrations in collaboration with the Amazon ECS engineering team. The session also shares some of the results so far, and lessons learned throughout our implementation and operations.]]>

Members from over all over the world streamed over forty-two billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this session, Netflix presents a deep dive on the motivations and the technology powering container deployment on top of Amazon Web Services. The session covers our approach to resource management and scheduling with the open source Fenzo library, along with details of how we integrate Docker and Netflix container scheduling running on AWS. We cover the approach we have taken to deliver AWS platform features to containers such as IAM roles, VPCs, security groups, metadata proxies, and user data. We want to take advantage of native AWS container resource management using Amazon ECS to reduce operational responsibilities. We are delivering these integrations in collaboration with the Amazon ECS engineering team. The session also shares some of the results so far, and lessons learned throughout our implementation and operations.]]>
Mon, 05 Dec 2016 16:59:57 GMT /slideshow/reinvent-2016-container-scheduling-execution-and-aws-integration/69841814 aspyker@slideshare.net(aspyker) Re:invent 2016 Container Scheduling, Execution and AWS Integration aspyker Members from over all over the world streamed over forty-two billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this session, Netflix presents a deep dive on the motivations and the technology powering container deployment on top of Amazon Web Services. The session covers our approach to resource management and scheduling with the open source Fenzo library, along with details of how we integrate Docker and Netflix container scheduling running on AWS. We cover the approach we have taken to deliver AWS platform features to containers such as IAM roles, VPCs, security groups, metadata proxies, and user data. We want to take advantage of native AWS container resource management using Amazon ECS to reduce operational responsibilities. We are delivering these integrations in collaboration with the Amazon ECS engineering team. The session also shares some of the results so far, and lessons learned throughout our implementation and operations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/final-reinvent2016-titus-20161123-161205165957-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Members from over all over the world streamed over forty-two billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this session, Netflix presents a deep dive on the motivations and the technology powering container deployment on top of Amazon Web Services. The session covers our approach to resource management and scheduling with the open source Fenzo library, along with details of how we integrate Docker and Netflix container scheduling running on AWS. We cover the approach we have taken to deliver AWS platform features to containers such as IAM roles, VPCs, security groups, metadata proxies, and user data. We want to take advantage of native AWS container resource management using Amazon ECS to reduce operational responsibilities. We are delivering these integrations in collaboration with the Amazon ECS engineering team. The session also shares some of the results so far, and lessons learned throughout our implementation and operations.
Re:invent 2016 Container Scheduling, Execution and AWS Integration from aspyker
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Netflix and Containers: Not A Stranger Thing /slideshow/netflix-and-containers-not-a-stranger-thing/67753700 netflixcontainersato2016-161028005455
Customers from over all over the world streamed Forty Two Billion hours of Netflix content last year. The Netflix streaming service had been powered by the Amazon cloud with virtual machines for over five years, blazing a trail for similar architectures. In the last year, it invested in containers for batch-style jobs and service-style applications. Andrew Spyker will explain the potential containers have to help Netflix create a more productive development experience while simultaneously deepening its control over resource management. Join Andrew to see why Netflix is moving forward with containers, how it can leverage its existing operational machinery, and how it’s running containers with a similar guarantee of high availability as current Netflix infrastructure provides. ]]>

Customers from over all over the world streamed Forty Two Billion hours of Netflix content last year. The Netflix streaming service had been powered by the Amazon cloud with virtual machines for over five years, blazing a trail for similar architectures. In the last year, it invested in containers for batch-style jobs and service-style applications. Andrew Spyker will explain the potential containers have to help Netflix create a more productive development experience while simultaneously deepening its control over resource management. Join Andrew to see why Netflix is moving forward with containers, how it can leverage its existing operational machinery, and how it’s running containers with a similar guarantee of high availability as current Netflix infrastructure provides. ]]>
Fri, 28 Oct 2016 00:54:55 GMT /slideshow/netflix-and-containers-not-a-stranger-thing/67753700 aspyker@slideshare.net(aspyker) Netflix and Containers: Not A Stranger Thing aspyker Customers from over all over the world streamed Forty Two Billion hours of Netflix content last year. The Netflix streaming service had been powered by the Amazon cloud with virtual machines for over five years, blazing a trail for similar architectures. In the last year, it invested in containers for batch-style jobs and service-style applications. Andrew Spyker will explain the potential containers have to help Netflix create a more productive development experience while simultaneously deepening its control over resource management. Join Andrew to see why Netflix is moving forward with containers, how it can leverage its existing operational machinery, and how it’s running containers with a similar guarantee of high availability as current Netflix infrastructure provides. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netflixcontainersato2016-161028005455-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Customers from over all over the world streamed Forty Two Billion hours of Netflix content last year. The Netflix streaming service had been powered by the Amazon cloud with virtual machines for over five years, blazing a trail for similar architectures. In the last year, it invested in containers for batch-style jobs and service-style applications. Andrew Spyker will explain the potential containers have to help Netflix create a more productive development experience while simultaneously deepening its control over resource management. Join Andrew to see why Netflix is moving forward with containers, how it can leverage its existing operational machinery, and how it’s running containers with a similar guarantee of high availability as current Netflix infrastructure provides.
Netflix and Containers: Not A Stranger Thing from aspyker
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Netflix Open Source: Building a Distributed and Automated Open Source Program /slideshow/netflix-open-source-building-a-distributed-and-automated-open-source-program/67742594 ato2016netflixoss-161027174109
Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program.]]>

Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program.]]>
Thu, 27 Oct 2016 17:41:09 GMT /slideshow/netflix-open-source-building-a-distributed-and-automated-open-source-program/67742594 aspyker@slideshare.net(aspyker) Netflix Open Source: Building a Distributed and Automated Open Source Program aspyker Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ato2016netflixoss-161027174109-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program.
Netflix Open Source: Building a Distributed and Automated Open Source Program from aspyker
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Velocity NYC 2016 - Containers @ Netflix /slideshow/velocity-nyc-2016-containers-netflix/66439510 velocitynyc2016-160926200052
How do containers add to a proven cloud architecture.]]>

How do containers add to a proven cloud architecture.]]>
Mon, 26 Sep 2016 20:00:52 GMT /slideshow/velocity-nyc-2016-containers-netflix/66439510 aspyker@slideshare.net(aspyker) Velocity NYC 2016 - Containers @ Netflix aspyker How do containers add to a proven cloud architecture. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/velocitynyc2016-160926200052-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> How do containers add to a proven cloud architecture.
Velocity NYC 2016 - Containers @ Netflix from aspyker
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Netflix Open Source Meetup Season 4 Episode 3 /slideshow/netflix-open-source-meetup-season-4-episode-3/65996086 netflixossmeetupseason4episode3-160913234916
In this episode, we will focus on security in the cloud at scale. We’ll have Netflix speakers discussing existing and upcoming security-related OSS releases, and we’ll also have external speakers from organizations that are using and contributing to Netflix security OSS. First, Patrick Kelley from Netflix’s Security Operations team will speak about RepoMan, an upcoming OSS release designed to right-size AWS permissions. Then, Wes Miaw from Netflix’s Security Engineering team will discuss MSL (Message Security Layer). We have two external speakers for this event - Chris Dorros from OpenDNS/Cisco will talk about his use of and contributions to Lemur, and Ryan Lane from Lyft will talk about their use of BLESS. After the talks, we’ll have OSS authors at demo stations to answer questions and provide demos of Netflix security OSS, including Lemur, MSL, and Security Monkey.]]>

In this episode, we will focus on security in the cloud at scale. We’ll have Netflix speakers discussing existing and upcoming security-related OSS releases, and we’ll also have external speakers from organizations that are using and contributing to Netflix security OSS. First, Patrick Kelley from Netflix’s Security Operations team will speak about RepoMan, an upcoming OSS release designed to right-size AWS permissions. Then, Wes Miaw from Netflix’s Security Engineering team will discuss MSL (Message Security Layer). We have two external speakers for this event - Chris Dorros from OpenDNS/Cisco will talk about his use of and contributions to Lemur, and Ryan Lane from Lyft will talk about their use of BLESS. After the talks, we’ll have OSS authors at demo stations to answer questions and provide demos of Netflix security OSS, including Lemur, MSL, and Security Monkey.]]>
Tue, 13 Sep 2016 23:49:16 GMT /slideshow/netflix-open-source-meetup-season-4-episode-3/65996086 aspyker@slideshare.net(aspyker) Netflix Open Source Meetup Season 4 Episode 3 aspyker In this episode, we will focus on security in the cloud at scale. We’ll have Netflix speakers discussing existing and upcoming security-related OSS releases, and we’ll also have external speakers from organizations that are using and contributing to Netflix security OSS. First, Patrick Kelley from Netflix’s Security Operations team will speak about RepoMan, an upcoming OSS release designed to right-size AWS permissions. Then, Wes Miaw from Netflix’s Security Engineering team will discuss MSL (Message Security Layer). We have two external speakers for this event - Chris Dorros from OpenDNS/Cisco will talk about his use of and contributions to Lemur, and Ryan Lane from Lyft will talk about their use of BLESS. After the talks, we’ll have OSS authors at demo stations to answer questions and provide demos of Netflix security OSS, including Lemur, MSL, and Security Monkey. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netflixossmeetupseason4episode3-160913234916-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this episode, we will focus on security in the cloud at scale. We’ll have Netflix speakers discussing existing and upcoming security-related OSS releases, and we’ll also have external speakers from organizations that are using and contributing to Netflix security OSS. First, Patrick Kelley from Netflix’s Security Operations team will speak about RepoMan, an upcoming OSS release designed to right-size AWS permissions. Then, Wes Miaw from Netflix’s Security Engineering team will discuss MSL (Message Security Layer). We have two external speakers for this event - Chris Dorros from OpenDNS/Cisco will talk about his use of and contributions to Lemur, and Ryan Lane from Lyft will talk about their use of BLESS. After the talks, we’ll have OSS authors at demo stations to answer questions and provide demos of Netflix security OSS, including Lemur, MSL, and Security Monkey.
Netflix Open Source Meetup Season 4 Episode 3 from aspyker
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Netflix Container Scheduling and Execution - QCon New York 2016 /slideshow/netflix-container-scheduling-and-execution-qcon-new-york-2016/63058103 qconnyc2016-160614155149
Scheduling a Fuller House: Container Management At Netflix Customers from over all over the world streamed Forty Two Billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this talk Netflix will present a deep dive on the motivations and the technology powering container deployment on top of the AWS EC2 service. The talk will cover our approach to cloud resource management and scheduling with the open source Fenzo library, along with details on docker execution engine as a part of project Titus. As well, the talk will share some of the results so far, lessons learned, and end with a brief look at the developer experience for containers.]]>

Scheduling a Fuller House: Container Management At Netflix Customers from over all over the world streamed Forty Two Billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this talk Netflix will present a deep dive on the motivations and the technology powering container deployment on top of the AWS EC2 service. The talk will cover our approach to cloud resource management and scheduling with the open source Fenzo library, along with details on docker execution engine as a part of project Titus. As well, the talk will share some of the results so far, lessons learned, and end with a brief look at the developer experience for containers.]]>
Tue, 14 Jun 2016 15:51:49 GMT /slideshow/netflix-container-scheduling-and-execution-qcon-new-york-2016/63058103 aspyker@slideshare.net(aspyker) Netflix Container Scheduling and Execution - QCon New York 2016 aspyker Scheduling a Fuller House: Container Management At Netflix Customers from over all over the world streamed Forty Two Billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this talk Netflix will present a deep dive on the motivations and the technology powering container deployment on top of the AWS EC2 service. The talk will cover our approach to cloud resource management and scheduling with the open source Fenzo library, along with details on docker execution engine as a part of project Titus. As well, the talk will share some of the results so far, lessons learned, and end with a brief look at the developer experience for containers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/qconnyc2016-160614155149-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Scheduling a Fuller House: Container Management At Netflix Customers from over all over the world streamed Forty Two Billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this talk Netflix will present a deep dive on the motivations and the technology powering container deployment on top of the AWS EC2 service. The talk will cover our approach to cloud resource management and scheduling with the open source Fenzo library, along with details on docker execution engine as a part of project Titus. As well, the talk will share some of the results so far, lessons learned, and end with a brief look at the developer experience for containers.
Netflix Container Scheduling and Execution - QCon New York 2016 from aspyker
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Netflix Open Source Meetup Season 4 Episode 2 /slideshow/netflix-open-source-meetup-season-4-episode-2/62709090 netflixoss20160601-160603214913
In this episode, we will take a close look at 2 different approaches to high-throughput/low-latency data stores, developed by Netflix. The first, EVCache, is a battle-tested distributed memcached-backed data store, optimized for the cloud. You will also hear about the road ahead for EVCache it evolves into an L1/L2 cache over RAM and SSDs. The second, Dynomite, is a framework to make any non-distributed data-store, distributed. Netflix's first implementation of Dynomite is based on Redis. Come learn about the products' features and hear from Thomson and Reuters, Diego Pacheco from Ilegra and other third party speakers, internal and external to Netflix, on how these products fit in their stack and roadmap. ]]>

In this episode, we will take a close look at 2 different approaches to high-throughput/low-latency data stores, developed by Netflix. The first, EVCache, is a battle-tested distributed memcached-backed data store, optimized for the cloud. You will also hear about the road ahead for EVCache it evolves into an L1/L2 cache over RAM and SSDs. The second, Dynomite, is a framework to make any non-distributed data-store, distributed. Netflix's first implementation of Dynomite is based on Redis. Come learn about the products' features and hear from Thomson and Reuters, Diego Pacheco from Ilegra and other third party speakers, internal and external to Netflix, on how these products fit in their stack and roadmap. ]]>
Fri, 03 Jun 2016 21:49:13 GMT /slideshow/netflix-open-source-meetup-season-4-episode-2/62709090 aspyker@slideshare.net(aspyker) Netflix Open Source Meetup Season 4 Episode 2 aspyker In this episode, we will take a close look at 2 different approaches to high-throughput/low-latency data stores, developed by Netflix. The first, EVCache, is a battle-tested distributed memcached-backed data store, optimized for the cloud. You will also hear about the road ahead for EVCache it evolves into an L1/L2 cache over RAM and SSDs. The second, Dynomite, is a framework to make any non-distributed data-store, distributed. Netflix's first implementation of Dynomite is based on Redis. Come learn about the products' features and hear from Thomson and Reuters, Diego Pacheco from Ilegra and other third party speakers, internal and external to Netflix, on how these products fit in their stack and roadmap. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netflixoss20160601-160603214913-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this episode, we will take a close look at 2 different approaches to high-throughput/low-latency data stores, developed by Netflix. The first, EVCache, is a battle-tested distributed memcached-backed data store, optimized for the cloud. You will also hear about the road ahead for EVCache it evolves into an L1/L2 cache over RAM and SSDs. The second, Dynomite, is a framework to make any non-distributed data-store, distributed. Netflix&#39;s first implementation of Dynomite is based on Redis. Come learn about the products&#39; features and hear from Thomson and Reuters, Diego Pacheco from Ilegra and other third party speakers, internal and external to Netflix, on how these products fit in their stack and roadmap.
Netflix Open Source Meetup Season 4 Episode 2 from aspyker
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19654 10 https://cdn.slidesharecdn.com/ss_thumbnails/netflixoss20160601-160603214913-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
Netflix Container Runtime - Titus - for Container Camp 2016 /slideshow/netflix-container-runtime-titus-for-container-camp-2016/60973222 titusforcontainercamp2016-160415204645
Lightning talk on Netflix Titus 4/2016.]]>

Lightning talk on Netflix Titus 4/2016.]]>
Fri, 15 Apr 2016 20:46:45 GMT /slideshow/netflix-container-runtime-titus-for-container-camp-2016/60973222 aspyker@slideshare.net(aspyker) Netflix Container Runtime - Titus - for Container Camp 2016 aspyker Lightning talk on Netflix Titus 4/2016. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/titusforcontainercamp2016-160415204645-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Lightning talk on Netflix Titus 4/2016.
Netflix Container Runtime - Titus - for Container Camp 2016 from aspyker
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