猿でもわかるコンテナ・オーケストレーション
•
0 likes•114 views
前回よりコンテナ技術にまつわるウェビナーシリーズを開始し、今回はその２回目となります。初回（前回）のウェビナーではコンテナの概要やコンテナ技術を実装するに当たって OS に求められる機能、またコンテナの歴史などについてご紹介致しました。これらは基本的に一つのサーバーや VM 内でのコンテナのお話でした。今回はコンテナの数が増加し、それらの連携がより複雑になって来たときにコンテナをどう管理するか、つまり「コンテナ・オーケストレーション」の話をご紹介します。同時にコンテナレジストリ管理やイメージスキャンなどのセキュリティに関する、エコシステムの話もカバーしたいと思います。
Report
Share
Report
Share
Download to read offline
Recommended
猿でもわかるサーバーレス
This document discusses serverless computing models. It begins with an introduction to backend-as-a-service (BaaS) and functions-as-a-service (FaaS). BaaS refers to services like Firebase and Auth0 that handle backend services, while FaaS refers to services like AWS Lambda and Azure Functions that allow uploading code snippets called functions. The document then provides a diagram showing the serverless processing model, with functions triggered by events through a REST API and integrated with continuous integration tools. It concludes by discussing advantages of the serverless approach like not having to manage servers and paying for compute resources only when functions are running.
Docker and Windows: The State of the Union
Session from Docker London, covering Docker on Windows:
- the Docker platform on Windows
- limitations and differences
- Dockerizing Windows applications
- running a hybrid swarm
"Yahoo! JAPAN の Kubernetes-as-a-Service" で加速するアプリケーション開発
This document discusses automating Kubernetes deployments using Kubernetes-as-a-Service. It defines a CustomResourceDefinition for Kubernetes clusters that includes specifications for the Kubernetes version, number of master and worker nodes, and hardware flavors. It also includes an example KubernetesCluster resource definition.
Configuration Management and Transforming Legacy Applications in the Enterpri...
Share the continuity of Société Générale's journey with Docker Enterprise from different points of view, from executives to devops, with CD platform as an enabler. Creating a Dockerfile that runs a container on a developer's laptop is pretty straightforward. But extending that to stacks of containers running on a dozen environments (development, integration, testing, staging, production, etc.) with different configuration and topologies can be a challenge. This talk will cover aspects of our journey to Docker Enterprise:
What configuration should go in an image?
Where to put different types of configuration? Images, environment variables, entrypoint, ...?
How to store assets for building images and configuration for deployment in version control.
We will discuss how Société Générale has implemented these, and what we plan next for Docker Enterprise deployment.
Windows Server Containers- How we hot here and architecture deep dive
Porting Docker for Windows is no small feat. The technology behind Docker today takes advantage of Linux capabilities like namespaces and cgroups. For native containers to exist on Windows and to have a Docker Engine for Windows, first similar primitives needed to be developed into the Windows operating system. In this session we will explain these Windows primitives in relation to similar primitives in Linux and other architectural changes on the OS and Engine side to make containerization possible. The process of porting includes not only the technology but also open source community interactions and cultural changes to enable this development. And of course there will be a cool demo…
Kubernetes x PaaS – コンテナアプリケーションのNoOpsへの挑戦
Presentation Slides for Breakout session at Japan Container Day 2018.04
https://containerdays.jp/v1804/
関連記事: https://thinkit.co.jp/article/14030
Delivering eBay's CI Solution with Apache Mesos & Docker - DockerCon 2014
This document discusses eBay's use of Apache Mesos, Docker, and Jenkins to improve their continuous integration (CI) solution. They were facing issues with thousands of underutilized VMs for running builds and managing different OSes and versions. Their new solution uses Mesos for cluster management, Marathon to launch Jenkins masters, and the Jenkins Mesos plugin to launch Dockerized build slaves. This allows them to standardize on Docker containers to isolate dependencies and OS flavors, improving utilization and maintenance while enabling polyglot builds.
20111018 1st lt_kom
This document discusses vmc, the command line client for Cloud Foundry. Vmc acts as a wrapper for the Cloud Foundry REST API controller. It allows users to interact with Cloud Foundry through commands instead of direct REST calls. The document notes that vmc's source code and good tutorials are available on GitHub. It also provides a sample Ruby application that uses vmc to authenticate with Cloud Foundry and retrieve a list of apps.
Recommended
猿でもわかるサーバーレス
This document discusses serverless computing models. It begins with an introduction to backend-as-a-service (BaaS) and functions-as-a-service (FaaS). BaaS refers to services like Firebase and Auth0 that handle backend services, while FaaS refers to services like AWS Lambda and Azure Functions that allow uploading code snippets called functions. The document then provides a diagram showing the serverless processing model, with functions triggered by events through a REST API and integrated with continuous integration tools. It concludes by discussing advantages of the serverless approach like not having to manage servers and paying for compute resources only when functions are running.
Docker and Windows: The State of the Union
Session from Docker London, covering Docker on Windows:
- the Docker platform on Windows
- limitations and differences
- Dockerizing Windows applications
- running a hybrid swarm
"Yahoo! JAPAN の Kubernetes-as-a-Service" で加速するアプリケーション開発
This document discusses automating Kubernetes deployments using Kubernetes-as-a-Service. It defines a CustomResourceDefinition for Kubernetes clusters that includes specifications for the Kubernetes version, number of master and worker nodes, and hardware flavors. It also includes an example KubernetesCluster resource definition.
Configuration Management and Transforming Legacy Applications in the Enterpri...
Share the continuity of Société Générale's journey with Docker Enterprise from different points of view, from executives to devops, with CD platform as an enabler. Creating a Dockerfile that runs a container on a developer's laptop is pretty straightforward. But extending that to stacks of containers running on a dozen environments (development, integration, testing, staging, production, etc.) with different configuration and topologies can be a challenge. This talk will cover aspects of our journey to Docker Enterprise:
What configuration should go in an image?
Where to put different types of configuration? Images, environment variables, entrypoint, ...?
How to store assets for building images and configuration for deployment in version control.
We will discuss how Société Générale has implemented these, and what we plan next for Docker Enterprise deployment.
Windows Server Containers- How we hot here and architecture deep dive
Porting Docker for Windows is no small feat. The technology behind Docker today takes advantage of Linux capabilities like namespaces and cgroups. For native containers to exist on Windows and to have a Docker Engine for Windows, first similar primitives needed to be developed into the Windows operating system. In this session we will explain these Windows primitives in relation to similar primitives in Linux and other architectural changes on the OS and Engine side to make containerization possible. The process of porting includes not only the technology but also open source community interactions and cultural changes to enable this development. And of course there will be a cool demo…
Kubernetes x PaaS – コンテナアプリケーションのNoOpsへの挑戦
Presentation Slides for Breakout session at Japan Container Day 2018.04
https://containerdays.jp/v1804/
関連記事: https://thinkit.co.jp/article/14030
Delivering eBay's CI Solution with Apache Mesos & Docker - DockerCon 2014
This document discusses eBay's use of Apache Mesos, Docker, and Jenkins to improve their continuous integration (CI) solution. They were facing issues with thousands of underutilized VMs for running builds and managing different OSes and versions. Their new solution uses Mesos for cluster management, Marathon to launch Jenkins masters, and the Jenkins Mesos plugin to launch Dockerized build slaves. This allows them to standardize on Docker containers to isolate dependencies and OS flavors, improving utilization and maintenance while enabling polyglot builds.
20111018 1st lt_kom
This document discusses vmc, the command line client for Cloud Foundry. Vmc acts as a wrapper for the Cloud Foundry REST API controller. It allows users to interact with Cloud Foundry through commands instead of direct REST calls. The document notes that vmc's source code and good tutorials are available on GitHub. It also provides a sample Ruby application that uses vmc to authenticate with Cloud Foundry and retrieve a list of apps.
Docker for Java Developers - Fabiane Nardon and Arun gupta
Docker provides PODA (Package Once Deploy Anywhere) and complements WORA (Write Once Run Anywhere) provided by Java. It also helps you reduce the impedance mismatch between dev, test, and production environment and simplifies Java application deployment. In this talk, Arun Gupta, Java Champion and Docker Captain and Fabiane Nardon, Java Champion, will explain how to run and package your Java application with Docker including sharing your Java application using Docker Hub. In addition, they will cover: * Deploying your Java application using Maven * Deploying your application using Docker for AWS * Scaling Java services with Docker Engine swarm mode * Packaging your multi-container application and use service discovery * Monitoring your Docker + Java applications * Building a deployment pipeline using common tools.
DockerCon SF 2015: Beyond CI to Production Scale PaaS with Docker
Talk Description:
What a difference a year makes. Last year Paypal presented on scaling a CI infrastructure with Docker, Mesos and Jenkins. Over the past year we worked on integrating Docker to the core of our PaaS ecosystem. We are Dockerizing the entire PayPal application ecosystem consisting of polyglot Java, Node.js, Scala, C++ and Python frameworks. In this journey we have introduced HA Docker Registry with ElasticSearch search plugin using both OpenStack Swift and Cinder storage, cross-data center ATS server smart image caching along with a developer-friendly boot2docker fig/compose workflow for Kraken (open source nodeJS) stack. This we believe has the potential to become one of the largest financial services production deployment of Docker.
Developer South Coast 2018: Docker on Windows - The Beginner's Guide
Session from Dev South Coast in February. Covers the basics of Docker on Windows, including packaging and running ASP.NET and SQL Server applications on Windows. Accompanying code samples on GitHub here: https://is.gd/mo9LZI
Un jenkins amélioré avec docker mesos et marathon à Devoxx 2015
Jenkins est aujourd’hui un outil d’intégration continue incontournable.
Cependant, ses mises à jour peuvent rapidement devenir fastidieuses, la gestion des plugins chaotique et la configuration de vos slaves pas vraiment optimal.
À travers ce Tools in Action, vous découvrirez comment en containérisant Jenkins et en utilisant les resources d’un cluster Mesos vous pouvez considérablement améliorer la stabilité et les performances de votre usine logicielle.
Speaker : Jean-Louis Rigau à Devoxx France 2015
Docker All The Things - ASP.NET 4.x and Windows Server Containers
Docker is awesome and there's been a lot of excitement over .NET Core running in Linux containers. But why do older apps have to miss out on the fun? With Windows Server 2016 and Windows Server containers, there's finally a way to dockerize .NET 4.6 apps using the same Docker tools and commands as we're used to on Linux. In this intermediate level talk, I'll give an overview of Docker and Windows Server containers. Then I'll demonstrate different ways to run existing ASP.NET Web API, MVC, and even WebForms applications inside Docker containers.
DockerCon EU 2015: Continuous Integration with Jenkins, Docker and Compose
Presented by Sandro Cirulli, Platform Tech Lead, Oxford University Press
Oxford University Press (OUP) recently started the Oxford Global Languages (OGL) initiative (http://www.oxforddictionaries.com/words/oxfordlanguages) which aims at providing language resources for digitally under represented languages. In August 2015 OUP launched two African languages websites for Zulu (http://zu.oxforddictionaries.com) and Northern Sotho (http://nso.oxforddictionaries.com). The backend of these websites is based on an API retrieving data in RDF from a triple store and delivering data to the frontend in JSON-LD.
The entire micro-service infrastructure for development, staging, and production runs on Docker containers in Amazon EC2 instances. In particular, we use Jenkins to rebuild the Docker image for the API based on a Python Flask application and Docker Compose to orchestrate the containers. A typical CI workflow is as follows:
- a developer commits code to the codebase
- Jenkins triggers a job to run unit tests
- if the unit tests are successful, the Docker image of the Python Flask application is rebuilt and the container is restarted via Docker Compose
- if the unit tests or the Docker build failed, the monitor view shows the Jenkins jobs in red and displays the name of the possible culprit who broke the build.
A demo of this CI workflow is available at http://www.sandrocirulli.net/continuous-integration-with-jenkins-docker-and-compose
Kubernetes @ Nanit by Chen Fisher
This document summarizes Chen Fisher's presentation on Kubernetes at nanit. The key points are:
1) Nanit uses Kubernetes for service orchestration, taking advantage of its built-in service discovery, high availability features, and port management capabilities.
2) Kubernetes is preferred over Amazon ECS due to ECS lacking service discovery and only supporting basic health checks.
3) Nanit runs two Kubernetes clusters for staging and production, with over 100 pods across more than 20 instances in production.
4) Nanit uses Kubernetes for deploying microservices from development to production, with Jenkins doing automated testing and deployment via Slack notifications.
IPC16: A Practical Introduction to Kubernetes
Kubernetes is an open source system for automating deployment, operations, and scaling of containerized applications. It’s one of the promising options you have for deploying your container-based applications to the Internet. In this session we’ll take a look at the concepts of Kubernetes and then go trough all steps necessary to launch and maintain a real-world PHP application in your own Kubernetes cluster.
Developer South Coast 2018: Modernizing .NET Apps with Docker
Session from Developer South Coast in February. Covers running .NET Framework apps in Docker containers on Windows, and using Docker to modernize the application architecture - extracting features and adding new functionality. Code samples here: https://is.gd/xaFroF
Docker in Production - IPC 2016
You’ve heard about Docker, maybe you use it already as a development environment for virtualising your project on your local machine. But running your application or website with Docker in production is a whole different deal. In this session you’ll get a deeper insight into working with Docker in practice. Starting with the 101 of concepts we’ll go through a practical scenario for hosting, automatically deploying and monitoring an application in production with recommendations for a variety of tools and services.
CloudExpo 2018: Docker - Power Your Move to the Cloud
This document discusses using Docker to move workloads to the cloud. It compares Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Containers as a Service (CaaS). It also demonstrates how to build and run Windows containers with Docker, including .NET and ASP.NET applications, and provides examples of deploying Docker containers to Microsoft Azure.
Developer Experience at Zalando - CNCF End User SIG-DX
This document summarizes Zalando's approach to developer experience and Kubernetes operations. Key aspects include:
- Developers build and deploy applications using Kubernetes as the primary interface. They are responsible for operations through an "on-call" model.
- Tools and platforms are provided to automate common tasks like builds, deployments, monitoring and scaling. These aim to improve developer productivity while ensuring correctness, security and cost efficiency.
- Open source projects developed by Zalando help provision and manage Kubernetes clusters and applications at large scale, with over 1000 developers and 200 teams using Kubernetes internally.
[D2 COMMUNITY] Open Container Seoul Meetup - Running a container platform in ...
This document discusses containers and related technologies like Docker, Kubernetes, and Openshift. It provides an overview of the container approach taken by GS Shop including their experience running non-microservice applications on containers in production. Some areas they are currently working on include containerized stateful services, multi-tenant container infrastructure, and container infrastructure provisioning automation.
Continuous delivery with Jenkins, Docker and Mesos/Marathon - jbcnconf
Continuous delivery uses practices like Docker, Jenkins, and Mesos/Marathon to ensure code changes can be rapidly and safely deployed to production. Docker provides containerization which allows fast and robust deployment using images. Jenkins can be configured with plugins to build, test, and deploy Docker images to a Mesos/Marathon cluster for production. Mesos/Marathon provide scalability, fault tolerance, and resource sharing across frameworks and applications in a cluster.
Kubernetes on AWS at Zalando: Failures & Learnings - DevOps NRW
Presentation held at the Düsseldorf DevOps NRW meetup on 2018-02-21 : https://www.meetup.com/devops-duesseldorf/events/246645236/
Kubernetes your tests! automation with docker on google cloud platform
Arik Lerner, Automation Team Leader, and Waseem Hamshawi, Automation Infra Developer, present how to build a large scale automated testing platform by leveraging containers orchestration over GCP, with the ability to scale out and provide fast feedback while maintaining a highly reliable test infrastructure.
The presentation includes new approach of managing a scalable testing platform of distributed automated tests with Kubernetes and Docker over Google Cloud Platform.
Topics:
• GCP and Kubernetes introduction for automated testing
• Traditional Selenium Grid vs Selenium Standalone with Kubernetes and Docker for Web and Mobile tests
• Distributed and containerized testing environment over container cluster - different use cases
Ephemerals - "Short-lived Testing Endpoints". An Open Source by LivePerson which makes automation testing at large scale like a "Walk in the park".
Democratizing Development - Scott Gress
We all know the benefits of using Docker to standardize development and production environments. Using Electron to create a cross-platform desktop app that connects to both Docker and Treeline (the online IDE for Sails.js apps) we can further lower the barrier to entry for developers and open up the "black box" of development to non-technical stakeholders.
KubeCon EU 2016: Leveraging ephemeral namespaces in a CI/CD pipeline
One of the most underrated features of Kubernetes is namespaces. In the market, instead of using this feature, people are still stuck with having different clusters for their environments. This talk will try to break this approach, and will introduce how we end up using ephemeral namespaces within our CI/CD pipeline. It will cover the architecture of our system for running the user acceptance tests on isolated ephemeral namespaces with every bits and pieces running within pods. While doing this, we will set up our CI/CD pipeline on top of TravisCI, GoCD, and Selenium that is controlled by Nightwatch.js.
Sched Link: http://sched.co/6Bcb
How Zalando runs Kubernetes clusters at scale on AWS - AWS re:Invent
Many clusters, many problems? Having many clusters has benefits: reduced blast radius, less vertical scaling of cluster components, and a natural trust boundary. In this session, Zalando shows its approach for running 140+ clusters on AWS, how it does continuous delivery for its cluster infrastructure, and how it created open-source tooling to manage cost efficiency and improve developer experience. The company openly shares its failures and the learnings collected during three years of Kubernetes in production.
AWS re:Invent session OPN211 on 2019-12-05
Microservices: 5 Things I Wish I'd Known - Code Motion Milan 2017
The document summarizes lessons learned about microservices from Vincent Kok's experience at Trello. It covers 6 areas: 1) Basics of designing minimal, stateless microservices; 2) Deployments should be automated and take less than 15 minutes; 3) Services need thorough testing, including mocking dependencies; 4) Security requires standards like OAuth 2.0 and service-to-service authentication; 5) Operations require resilience patterns like circuit breakers and request tracing; 6) Decomposing monoliths into domain-aligned services with independent teams owning each service. The overall message is that microservices impact must be understood, and services should optimize for rapid, sustainable value delivery.
カエルと実践するコンテナ
直近２回にわたりコンテナ技術にまつわるウェビナーシリーズを開催し、今回はその３回目となります。第１回のウェビナーではコンテナの概要やコンテナ技術を実装するに当たって OS に求められる機能、またコンテナの歴史などについてご紹介致しました。また第２回ではコンテナの数が増加し、それらの連携がより複雑になって来たときにコンテナをどう管理するか、つまり「コンテナ・オーケストレーション」の話をご紹介しました。最終回である今回はコンテナ管理の実践としてコンテナレジストリのデモをご紹介しながら、コンテナを活用した DevOps の実践についてご紹介したいと思います。
猿でもわかるコンテナ
今回からコンテナ技術にまつわるウェビナーシリーズを開始します。まず初回の本ウェビナーではコンテナの入門的な内容についてご紹介致します。基本的には Docker や Kubernetes、それらのエコシステムやツール群について、学びたいと思っていたもののなかなかその機会がなく、気がつけば周回遅れになってしまっていた方向けの入門の内容になっています。またコンテナを「特別なプロセス」に仕立て上げる仕組み（cgroups、linux namespaces、union file system）を知りたい方の入門講座にもなっています
More Related Content
What's hot
Docker for Java Developers - Fabiane Nardon and Arun gupta
Docker provides PODA (Package Once Deploy Anywhere) and complements WORA (Write Once Run Anywhere) provided by Java. It also helps you reduce the impedance mismatch between dev, test, and production environment and simplifies Java application deployment. In this talk, Arun Gupta, Java Champion and Docker Captain and Fabiane Nardon, Java Champion, will explain how to run and package your Java application with Docker including sharing your Java application using Docker Hub. In addition, they will cover: * Deploying your Java application using Maven * Deploying your application using Docker for AWS * Scaling Java services with Docker Engine swarm mode * Packaging your multi-container application and use service discovery * Monitoring your Docker + Java applications * Building a deployment pipeline using common tools.
DockerCon SF 2015: Beyond CI to Production Scale PaaS with Docker
Talk Description:
What a difference a year makes. Last year Paypal presented on scaling a CI infrastructure with Docker, Mesos and Jenkins. Over the past year we worked on integrating Docker to the core of our PaaS ecosystem. We are Dockerizing the entire PayPal application ecosystem consisting of polyglot Java, Node.js, Scala, C++ and Python frameworks. In this journey we have introduced HA Docker Registry with ElasticSearch search plugin using both OpenStack Swift and Cinder storage, cross-data center ATS server smart image caching along with a developer-friendly boot2docker fig/compose workflow for Kraken (open source nodeJS) stack. This we believe has the potential to become one of the largest financial services production deployment of Docker.
Developer South Coast 2018: Docker on Windows - The Beginner's Guide
Session from Dev South Coast in February. Covers the basics of Docker on Windows, including packaging and running ASP.NET and SQL Server applications on Windows. Accompanying code samples on GitHub here: https://is.gd/mo9LZI
Un jenkins amélioré avec docker mesos et marathon à Devoxx 2015
Jenkins est aujourd’hui un outil d’intégration continue incontournable.
Cependant, ses mises à jour peuvent rapidement devenir fastidieuses, la gestion des plugins chaotique et la configuration de vos slaves pas vraiment optimal.
À travers ce Tools in Action, vous découvrirez comment en containérisant Jenkins et en utilisant les resources d’un cluster Mesos vous pouvez considérablement améliorer la stabilité et les performances de votre usine logicielle.
Speaker : Jean-Louis Rigau à Devoxx France 2015
Docker All The Things - ASP.NET 4.x and Windows Server Containers
Docker is awesome and there's been a lot of excitement over .NET Core running in Linux containers. But why do older apps have to miss out on the fun? With Windows Server 2016 and Windows Server containers, there's finally a way to dockerize .NET 4.6 apps using the same Docker tools and commands as we're used to on Linux. In this intermediate level talk, I'll give an overview of Docker and Windows Server containers. Then I'll demonstrate different ways to run existing ASP.NET Web API, MVC, and even WebForms applications inside Docker containers.
DockerCon EU 2015: Continuous Integration with Jenkins, Docker and Compose
Presented by Sandro Cirulli, Platform Tech Lead, Oxford University Press
Oxford University Press (OUP) recently started the Oxford Global Languages (OGL) initiative (http://www.oxforddictionaries.com/words/oxfordlanguages) which aims at providing language resources for digitally under represented languages. In August 2015 OUP launched two African languages websites for Zulu (http://zu.oxforddictionaries.com) and Northern Sotho (http://nso.oxforddictionaries.com). The backend of these websites is based on an API retrieving data in RDF from a triple store and delivering data to the frontend in JSON-LD.
The entire micro-service infrastructure for development, staging, and production runs on Docker containers in Amazon EC2 instances. In particular, we use Jenkins to rebuild the Docker image for the API based on a Python Flask application and Docker Compose to orchestrate the containers. A typical CI workflow is as follows:
- a developer commits code to the codebase
- Jenkins triggers a job to run unit tests
- if the unit tests are successful, the Docker image of the Python Flask application is rebuilt and the container is restarted via Docker Compose
- if the unit tests or the Docker build failed, the monitor view shows the Jenkins jobs in red and displays the name of the possible culprit who broke the build.
A demo of this CI workflow is available at http://www.sandrocirulli.net/continuous-integration-with-jenkins-docker-and-compose
Kubernetes @ Nanit by Chen Fisher
This document summarizes Chen Fisher's presentation on Kubernetes at nanit. The key points are:
1) Nanit uses Kubernetes for service orchestration, taking advantage of its built-in service discovery, high availability features, and port management capabilities.
2) Kubernetes is preferred over Amazon ECS due to ECS lacking service discovery and only supporting basic health checks.
3) Nanit runs two Kubernetes clusters for staging and production, with over 100 pods across more than 20 instances in production.
4) Nanit uses Kubernetes for deploying microservices from development to production, with Jenkins doing automated testing and deployment via Slack notifications.
IPC16: A Practical Introduction to Kubernetes
Kubernetes is an open source system for automating deployment, operations, and scaling of containerized applications. It’s one of the promising options you have for deploying your container-based applications to the Internet. In this session we’ll take a look at the concepts of Kubernetes and then go trough all steps necessary to launch and maintain a real-world PHP application in your own Kubernetes cluster.
Developer South Coast 2018: Modernizing .NET Apps with Docker
Session from Developer South Coast in February. Covers running .NET Framework apps in Docker containers on Windows, and using Docker to modernize the application architecture - extracting features and adding new functionality. Code samples here: https://is.gd/xaFroF
Docker in Production - IPC 2016
You’ve heard about Docker, maybe you use it already as a development environment for virtualising your project on your local machine. But running your application or website with Docker in production is a whole different deal. In this session you’ll get a deeper insight into working with Docker in practice. Starting with the 101 of concepts we’ll go through a practical scenario for hosting, automatically deploying and monitoring an application in production with recommendations for a variety of tools and services.
CloudExpo 2018: Docker - Power Your Move to the Cloud
This document discusses using Docker to move workloads to the cloud. It compares Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Containers as a Service (CaaS). It also demonstrates how to build and run Windows containers with Docker, including .NET and ASP.NET applications, and provides examples of deploying Docker containers to Microsoft Azure.
Developer Experience at Zalando - CNCF End User SIG-DX
This document summarizes Zalando's approach to developer experience and Kubernetes operations. Key aspects include:
- Developers build and deploy applications using Kubernetes as the primary interface. They are responsible for operations through an "on-call" model.
- Tools and platforms are provided to automate common tasks like builds, deployments, monitoring and scaling. These aim to improve developer productivity while ensuring correctness, security and cost efficiency.
- Open source projects developed by Zalando help provision and manage Kubernetes clusters and applications at large scale, with over 1000 developers and 200 teams using Kubernetes internally.
[D2 COMMUNITY] Open Container Seoul Meetup - Running a container platform in ...
This document discusses containers and related technologies like Docker, Kubernetes, and Openshift. It provides an overview of the container approach taken by GS Shop including their experience running non-microservice applications on containers in production. Some areas they are currently working on include containerized stateful services, multi-tenant container infrastructure, and container infrastructure provisioning automation.
Continuous delivery with Jenkins, Docker and Mesos/Marathon - jbcnconf
Continuous delivery uses practices like Docker, Jenkins, and Mesos/Marathon to ensure code changes can be rapidly and safely deployed to production. Docker provides containerization which allows fast and robust deployment using images. Jenkins can be configured with plugins to build, test, and deploy Docker images to a Mesos/Marathon cluster for production. Mesos/Marathon provide scalability, fault tolerance, and resource sharing across frameworks and applications in a cluster.
Kubernetes on AWS at Zalando: Failures & Learnings - DevOps NRW
Presentation held at the Düsseldorf DevOps NRW meetup on 2018-02-21 : https://www.meetup.com/devops-duesseldorf/events/246645236/
Kubernetes your tests! automation with docker on google cloud platform
Arik Lerner, Automation Team Leader, and Waseem Hamshawi, Automation Infra Developer, present how to build a large scale automated testing platform by leveraging containers orchestration over GCP, with the ability to scale out and provide fast feedback while maintaining a highly reliable test infrastructure.
The presentation includes new approach of managing a scalable testing platform of distributed automated tests with Kubernetes and Docker over Google Cloud Platform.
Topics:
• GCP and Kubernetes introduction for automated testing
• Traditional Selenium Grid vs Selenium Standalone with Kubernetes and Docker for Web and Mobile tests
• Distributed and containerized testing environment over container cluster - different use cases
Ephemerals - "Short-lived Testing Endpoints". An Open Source by LivePerson which makes automation testing at large scale like a "Walk in the park".
Democratizing Development - Scott Gress
We all know the benefits of using Docker to standardize development and production environments. Using Electron to create a cross-platform desktop app that connects to both Docker and Treeline (the online IDE for Sails.js apps) we can further lower the barrier to entry for developers and open up the "black box" of development to non-technical stakeholders.
KubeCon EU 2016: Leveraging ephemeral namespaces in a CI/CD pipeline
One of the most underrated features of Kubernetes is namespaces. In the market, instead of using this feature, people are still stuck with having different clusters for their environments. This talk will try to break this approach, and will introduce how we end up using ephemeral namespaces within our CI/CD pipeline. It will cover the architecture of our system for running the user acceptance tests on isolated ephemeral namespaces with every bits and pieces running within pods. While doing this, we will set up our CI/CD pipeline on top of TravisCI, GoCD, and Selenium that is controlled by Nightwatch.js.
Sched Link: http://sched.co/6Bcb
How Zalando runs Kubernetes clusters at scale on AWS - AWS re:Invent
Many clusters, many problems? Having many clusters has benefits: reduced blast radius, less vertical scaling of cluster components, and a natural trust boundary. In this session, Zalando shows its approach for running 140+ clusters on AWS, how it does continuous delivery for its cluster infrastructure, and how it created open-source tooling to manage cost efficiency and improve developer experience. The company openly shares its failures and the learnings collected during three years of Kubernetes in production.
AWS re:Invent session OPN211 on 2019-12-05
Microservices: 5 Things I Wish I'd Known - Code Motion Milan 2017
The document summarizes lessons learned about microservices from Vincent Kok's experience at Trello. It covers 6 areas: 1) Basics of designing minimal, stateless microservices; 2) Deployments should be automated and take less than 15 minutes; 3) Services need thorough testing, including mocking dependencies; 4) Security requires standards like OAuth 2.0 and service-to-service authentication; 5) Operations require resilience patterns like circuit breakers and request tracing; 6) Decomposing monoliths into domain-aligned services with independent teams owning each service. The overall message is that microservices impact must be understood, and services should optimize for rapid, sustainable value delivery.
What's hot (20)
Docker for Java Developers - Fabiane Nardon and Arun gupta
Docker for Java Developers - Fabiane Nardon and Arun gupta
DockerCon SF 2015: Beyond CI to Production Scale PaaS with Docker
DockerCon SF 2015: Beyond CI to Production Scale PaaS with Docker
Developer South Coast 2018: Docker on Windows - The Beginner's Guide
Developer South Coast 2018: Docker on Windows - The Beginner's Guide
Un jenkins amélioré avec docker mesos et marathon à Devoxx 2015
Un jenkins amélioré avec docker mesos et marathon à Devoxx 2015
Docker All The Things - ASP.NET 4.x and Windows Server Containers
Docker All The Things - ASP.NET 4.x and Windows Server Containers
DockerCon EU 2015: Continuous Integration with Jenkins, Docker and Compose
DockerCon EU 2015: Continuous Integration with Jenkins, Docker and Compose
Developer South Coast 2018: Modernizing .NET Apps with Docker
Developer South Coast 2018: Modernizing .NET Apps with Docker
CloudExpo 2018: Docker - Power Your Move to the Cloud
CloudExpo 2018: Docker - Power Your Move to the Cloud
Developer Experience at Zalando - CNCF End User SIG-DX
Developer Experience at Zalando - CNCF End User SIG-DX
[D2 COMMUNITY] Open Container Seoul Meetup - Running a container platform in ...
[D2 COMMUNITY] Open Container Seoul Meetup - Running a container platform in ...
Continuous delivery with Jenkins, Docker and Mesos/Marathon - jbcnconf
Continuous delivery with Jenkins, Docker and Mesos/Marathon - jbcnconf
Kubernetes on AWS at Zalando: Failures & Learnings - DevOps NRW
Kubernetes on AWS at Zalando: Failures & Learnings - DevOps NRW
Kubernetes your tests! automation with docker on google cloud platform
Kubernetes your tests! automation with docker on google cloud platform
KubeCon EU 2016: Leveraging ephemeral namespaces in a CI/CD pipeline
KubeCon EU 2016: Leveraging ephemeral namespaces in a CI/CD pipeline
How Zalando runs Kubernetes clusters at scale on AWS - AWS re:Invent
How Zalando runs Kubernetes clusters at scale on AWS - AWS re:Invent
Microservices: 5 Things I Wish I'd Known - Code Motion Milan 2017
Microservices: 5 Things I Wish I'd Known - Code Motion Milan 2017
Similar to 猿でもわかるコンテナ・オーケストレーション
カエルと実践するコンテナ
直近２回にわたりコンテナ技術にまつわるウェビナーシリーズを開催し、今回はその３回目となります。第１回のウェビナーではコンテナの概要やコンテナ技術を実装するに当たって OS に求められる機能、またコンテナの歴史などについてご紹介致しました。また第２回ではコンテナの数が増加し、それらの連携がより複雑になって来たときにコンテナをどう管理するか、つまり「コンテナ・オーケストレーション」の話をご紹介しました。最終回である今回はコンテナ管理の実践としてコンテナレジストリのデモをご紹介しながら、コンテナを活用した DevOps の実践についてご紹介したいと思います。
猿でもわかるコンテナ
今回からコンテナ技術にまつわるウェビナーシリーズを開始します。まず初回の本ウェビナーではコンテナの入門的な内容についてご紹介致します。基本的には Docker や Kubernetes、それらのエコシステムやツール群について、学びたいと思っていたもののなかなかその機会がなく、気がつけば周回遅れになってしまっていた方向けの入門の内容になっています。またコンテナを「特別なプロセス」に仕立て上げる仕組み（cgroups、linux namespaces、union file system）を知りたい方の入門講座にもなっています
Java 開発者のための次世代 DevOps: BinOps
This document discusses Java DevOps and BinOps. It covers topics like CI/CD, using tools like JFrog Artifactory for package management across different languages and platforms. It highlights how Artifactory serves as a single source of truth for artifacts with REST APIs and CLIs. Pipelines are discussed as well to automate builds and deployments. The document contrasts artifacts with blobs in version control systems and outlines Artifactory's role in the DevOps pipeline for QA/QC and promotion of builds.
Kubernetes and CNCF Landscape 101
Una intro sui concetti base di k8s e come sono implementati dall'ecosistema della Cloud Native Computing Foundation
KubeCon EU 2016: A Practical Guide to Container Scheduling
Containers are at the forefront of a new wave of technology innovation but the methods for scheduling and managing them are still new to most developers. In this talk we'll look at the kind of problems that container scheduling solves and at how maximising efficiency and maiximising QoS don't have to be exclusive goals. We'll take a behind the scenes look at the Kubernetes scheduler: How does it prioritize? What about node selection and external dependencies? How do you schedule based on your own specific needs? How does it scale and what’s in it both for developers already using containers and for those that aren't? We’ll use a combination of slides, code, demos to answer all these questions and hopefully all of yours.
Sched Link: http://sched.co/6BZa
Use GitLab with Chaos Engineering to Harden your Applications + OpenEBS 1.3 ...
The document provides an overview of new features in OpenEBS 1.3 including support for Kubernetes 1.16 APIs, enhancements like auto scaling of cStor pools and initial support for NDM prometheus metrics exporter, and bug fixes. It discusses using GitLab with OpenEBS for running GitLab and storing application data and using Litmus for injecting chaos in GitLab pipelines. The presentation covers use cases like using OpenEBS as persistent storage for GitLab, keeping CI data closer to reality with immediate access to failed environments, and practicing chaos engineering to increase resiliency from CI pipelines to production.
4K–Kubernetes with Knative, Kafka and Kamel
This document contains details about an upcoming DevNation schedule of events on Kubernetes topics, including dates and times. It also provides background information on the presenters Burr Sutter and Kamesh Sampath. Additionally, it outlines an agenda for a session on understanding Kubernetes, Knative, Apache Kafka and Camel-K as four pillars of cloud data streaming.
K8s debugging talk
Olaf Meyer discusses various options for debugging Java applications running in Kubernetes clusters. He begins with an introduction to Kubernetes and demonstrates debugging with the kubectl command line tool and port forwarding. Meyer then covers using Telepresence and Squash for debugging, noting Squash integrates well with IDEs. While Telepresence is good for development containers, Squash has no overhead for Java applications. Additional debugging tools discussed include kubefwd and Rookout.
Keynote #Tech - Google : aperçu de la gestion des services distribués chez Go...
Keynote #Tech - Google : aperçu de la gestion des services distribués chez Go...Paris Open Source Summit
#OSSPARIS15 - Keynote TECH
Google : aperçu de la gestion des services distribués chez Google
Intervenant :
Bastien LEGRAS, GoogleThe Future of Web Application Architectures
This document discusses emerging trends in web application architectures and how Docker and microservices are shaping the future. It begins with an introduction to the author and then covers:
1) How architectures are shifting from monolithic backends to distributed, share-nothing systems.
2) The benefits of microservices architectures that use REST APIs and other techniques like asset hosting, session management, and asynchronous processing.
3) How Docker and containers allow applications to be packaged and distributed more easily while maintaining consistency across environments.
The document concludes that automation, containers, and microservices are dominating future web application architectures.
XPDS14 - Scaling Xen's Aggregate Storage Performance - Felipe Franciosi, Citrix
This document summarizes Felipe Franciosi's presentation on scaling Xen's aggregate storage performance. It discusses measuring storage performance, the state of the art technologies including grant mapping, persistent grants and tapdisk, and achieving aggregate measurements over 10GB/s using very fast local storage. It also outlines areas for further improvement such as increasing single-VBD performance and enabling many-VBD configurations to perform better by avoiding data copies.
Scaling Docker Containers using Kubernetes and Azure Container Service
This document discusses scaling Docker containers using Kubernetes and Azure Container Service. It begins with an introduction to containers and Docker, including how containers improve dependency and configuration management. It then demonstrates building and deploying containerized applications using Docker and discusses how to optimize Docker images. Finally, it introduces Kubernetes as a tool for orchestrating containers at scale and provides an example of deploying a containerized application on Kubernetes in Azure.
Where should I run my code? Serverless, Containers, Virtual Machines and more
Where should I run my code? Serverless, Containers, Virtual Machines and moreBret McGowen - NYC Google Developer Advocate
What do the terms serverless, containers, and virtual machines mean? Which should I use to build my app? The answer (as always) is "it depends." In this session learn the tradeoffs between these different approaches, whether you're building your app from scratch or want to move an existing web or mobile application to the cloud. We'll discuss open source tools such as Kubernetes, Istio, and Knative, and we'll discuss Google Cloud Platform tools like Compute Engine, Google Kubernetes Engine (GKE), App Engine, and Cloud Functions.Deploying windows containers with kubernetes
The document discusses deploying Windows containers with Kubernetes. It covers building Windows containers, deploying containers on Kubernetes, and operating Kubernetes. Specifically, it shows how to:
- Build a Windows container with SQL Server using Docker
- Deploy a .NET Core app container to Kubernetes and expose it using a load balancer
- Scale the deployment to multiple replicas and observe traffic distribution
- Perform rolling updates to deploy new versions of the application
Módulo de docker compose para ensino e aprendizagem do yml para docker
Docker Compose allows users to define and run multi-container Docker applications. It defines the services, their dependencies and environment variables in a docker-compose.yml file. Users can then start and stop the entire application with a single command. The document discusses Docker Compose's features, installation process, and provides examples of docker-compose.yml files and commands. It also describes labs for hands-on practice with Docker Compose.
Docker Overview - Rise of the Containers
Containers allow for applications to become more portable, organized more efficiently, and configured to make better use of system resources. This presentation will explain Docker's container technology, DevOps approach, partner ecosystem, popularity, performance, challenges, and roadmap. We'll review how containers are changing application and operating system designs.
Social Connections 14 - Kubernetes Basics for Connections Admins
The product formerly known as IBM Connections pink is deployed on Kubernetes and some other Open Source Tools. Learn the basics of Kubernetes in this session. Deploying additional pods, getting some statistics or find deeper information of the installed stuff to find log files and so on.
Kubernetes Basics for Connections Admins
This document provides an overview of Kubernetes basics for IBM Connections administrators. It discusses the history of Kubernetes and its predecessors like Borg and Omega which were container management systems developed at Google. It also covers Kubernetes architecture, components like pods, replica sets, deployments and services. It explains how to run basic pods and services and scale deployments. Key concepts around liveness probes, networks and service discovery in Kubernetes are also summarized.
Day 2 Kubernetes - Tools for Operability (Velocity London Meetup)
The document is a transcript of a presentation about Kubernetes and container orchestration tools. It discusses what containers and Kubernetes are, introduces common tools in the Kubernetes ecosystem like Helm and Brigade for managing applications and automating tasks. It also covers Azure Kubernetes Service for deploying and managing Kubernetes clusters on Azure. Finally, it discusses future directions for Kubernetes including changes to Helm and new projects like Virtual Kubelet.
Achieving CI/CD with Kubernetes
Kubernetes has evolved from Borg at Google to provide an open source platform for automating deployment, scaling, and management of containerized applications. The presentation discusses how to use Jenkins, Fabric8, and other tools to achieve continuous integration and delivery (CI/CD) with Kubernetes. It provides examples of configuring Jenkins and Fabric8 to build, test, and deploy container images to a Kubernetes cluster, illustrating an end-to-end CI/CD workflow on Kubernetes.
Similar to 猿でもわかるコンテナ・オーケストレーション (20)
KubeCon EU 2016: A Practical Guide to Container Scheduling
KubeCon EU 2016: A Practical Guide to Container Scheduling
Use GitLab with Chaos Engineering to Harden your Applications + OpenEBS 1.3 ...
Use GitLab with Chaos Engineering to Harden your Applications + OpenEBS 1.3 ...
Keynote #Tech - Google : aperçu de la gestion des services distribués chez Go...
Keynote #Tech - Google : aperçu de la gestion des services distribués chez Go...
XPDS14 - Scaling Xen's Aggregate Storage Performance - Felipe Franciosi, Citrix
XPDS14 - Scaling Xen's Aggregate Storage Performance - Felipe Franciosi, Citrix
Scaling Docker Containers using Kubernetes and Azure Container Service
Scaling Docker Containers using Kubernetes and Azure Container Service
Where should I run my code? Serverless, Containers, Virtual Machines and more
Where should I run my code? Serverless, Containers, Virtual Machines and more
Módulo de docker compose para ensino e aprendizagem do yml para docker
Módulo de docker compose para ensino e aprendizagem do yml para docker
Social Connections 14 - Kubernetes Basics for Connections Admins
Social Connections 14 - Kubernetes Basics for Connections Admins
Day 2 Kubernetes - Tools for Operability (Velocity London Meetup)
Day 2 Kubernetes - Tools for Operability (Velocity London Meetup)
More from Tsuyoshi Miyake
猿でもわかる DevOps
本ウェビナーでは DevOps の概要についてお話します。
「DevOps」という単語自体はすでに浸透しているものの、それが実際に何を意味し、どのように明日から自分の業務にて実践するのかについて理解できている方は少ないのではないでしょうか？DevOps とアジャイル開発、SRE との違いなどが不明瞭な方、また DevOps のそもそものルーツについて知りたい方もいるかもしれません。
今回はそのような疑問も含め、最新（2022 年版）の DevOps の動向や概要について一から理解したい方向けに本セッションを開催いたします。
はじめての JFrog Distribution
本ウェビナーでは JFrog Platform のソフトウェア配布サービスである JFrog Distribution の概要についてお話します。JFrog は DevSecOps の実現のために JFrog Platform という包括的なプラットフォームサービスを提供しています。JFrog Platform のウェビナーでは、開発者が作成した素晴らしいソフトウェアを「いかに迅速に安全に」エンドユーザーに届けることができるか、その実現のために JFrog は「バイナリ」を中心にこのフローを再定義してきたという話をしました。
JFrog Distribution はこのビジョンのうち「ソフトウェアをエンドユーザーに届ける」ことに特化したサービスになります。ソフトウェアデリバリーのターゲットはKubernetesのクラスターのような全てがクラウドで完結するプラットフォームだけではありません。車載器やIoTデバイスなど「ラストワンマイル」へのデプロイを実現するためのJFrog Distributionを基礎から学んでみたい方を中心にご参加をお待ちしております。
はじめての JFrog Pipelines
本ウェビナーでは JFrog Platform の CI/CD サービスである JFrog Pipelines の概要についてお話します。JFrog は DevSecOps の実現のために JFrog Platform という包括的なプラットフォームサービスを提供しています。JFrog Platform のウェビナー（録画・スライド）では、開発者が作成した素晴らしいソフトウェアを「いかに迅速に安全に」エンドユーザーに届けることができるか、その実現のために JFrog は「バイナリ」を中心にこのフローを再定義してきたという話をしました。
JFrog Pipelines はこのビジョンのうち DevSecOps をいかに「自動化」するかに貢献する CI/CD のプロダクトで Artifactory にアドオンする形でご利用いただけます。すでに世の中に多くある CI のツールやサービスとの違いなど、この機会に JFrog Pipelines を基礎から学んでみたい方を中心にご参加をお待ちしております。
はじめての JFrog Xray
本ウェビナーでは JFrog Platform のセキュリティサービス JFrog Xray の概要についてお話します。前々回（録画・スライド）は DevSecOps の概要とそれを実現するためのプラットフォームである JFrog Platform のお話をしました。そこでは開発者が作成した素晴らしいソフトウェアを「いかに迅速に安全に安定して」エンドユーザーに届けることができるか、その実現のために JFrog は「バイナリ」を中心にこのフローを再定義してきたというお話をしました。
JFrog Xray はこのビジョンのうち DevSecOps の “Sec” を実現するために一から開発された Software Composition Analysis (SCA) のプロダクトで、Artifactory にアドオンする形ですぐにご利用いただけます。この機会に JFrog Xray を基礎から学んでみたい方を中心にご参加をお待ちしております。
はじめての JFrog Artifactory
本ウェビナーでは JFrog Platform のメインサービス JFrog Artifactory の概要についてお話します。前回は DevSecOps の概要とそれを実現するためのプラットフォームである JFrog Platform のお話をしました。そこでは開発者が作成した素晴らしいソフトウェアを「いかに迅速に安全に安定して」エンドユーザーに届けることができるか、その実現のために JFrog は「バイナリ」を中心にこのフローを再定義してきたというお話をしました。
JFrog Artifactory はこのビジョンを実現するために JFrog が創業前から十数年にわたって提供してきたプロダクトです。この機会に Artifactory を基礎から学んでみたい方を中心にご参加をお待ちしております。
はじめての JFrog Platform
本ウェビナーでは DevSecOps プラットフォームである JFrog Platform の概要についてお話します。全てのソフトウェアの最終目的はエンドユーザーに価値を届けることです。DevSecOps とはそれを「いかに迅速に安全に」届けるかを目標とした実践方法になります。
昨今の開発は言語も多様で、それぞれの言語に対し複数のビルドツールが存在するため、その組み合わせも膨大な数になります。そしてビルドされた成果物を迅速に安全にエンドユーザーに届けなければ、どんなに素晴らしいソフトウェアもその価値はありません。JFrog Platform が DevSecOps の実践に「具体的に」どのように役立つのか、デモを交えながらその概要をご紹介したいと思います。
猿でもわかる Helm
ウェビナーではKubernetesのおさらいとその欠点を確認した後に、それを克服するためにどのようにHelmが誕生したかについてご紹介しました。また本題であるHelmの基礎的内容、３つのコアコンセプトの後、実際にHelmを使ってKubernetesベースのアプリケーションをHelmベースのアプリケーションに移行するための簡単なデモをご覧いただきました。
Artifact Driven CI/CD
Cloud Native Days Spring 2021 (#CNDO2021) のキーノート資料です
本セッションは CI/CD をこれから始めてみようという方はもちろん、CI/CD を何らか導入し始めたもののイマイチそのメリットがピンと来ていない方を対象に、本当にプロジェクトに役立つ CI/CD パイプラインの作成方法をお伝えします。CI/CD の成功の鍵は、パイプラインの中心をソースコードではなくアーティファクト（バイナリ）にすることにあります。この考え方は世の中の多くの CI ツールとは異なる考え方になるため、ある意味コペルニクス的発想の転換が求められます。本セッションでは実際に Cloud Native な DevOps 基盤である JFrog Platform を用いた CI/CD のデモを交えながら、この「アーティファクト・ドリブン」な CI/CD をお伝えしたいと思います。
In this session, we will show you how to create a CI/CD pipeline that is really useful for your project, not only for those who are just starting to use CI/CD, but also for those who have started to use CI/CD in some way but are not quite sure of its benefits. The key to success in CI/CD is to make the artifacts (binaries) the center of the pipeline instead of the source code, which is a different way of thinking than most CI tools out there, and requires a Copernican shift in thinking. In this session, I would like to share this "artifact driven" CI/CD with a demo of CI/CD using JFrog Platform, a cloud native DevOps infrastructure.
カエルと実践する CI/CD CD 編
前回のウェビナーでは、CI/CD を実際に導入するにあたり、具体的な製品を中心に設定方法やデモをご紹介致しました。その際 CI/CD のパイプラインのうちコードをソースコードリポジトリにプッシュした瞬間からビルド・依存ライブラリの脆弱性のチェック・Docker イメージの作成までが自動的に実施される様子とそれに伴うアーティファクトの管理方法やセキュリティーポリシーの設定方法についてデモでご紹介しました。
本ウェビナーでは GitHub Actions と JFrog Artifactory を連携させソースコードのコミットから AWS のサーバレス環境へ自動的にアプリケーションがデプロイされる「DevOps 全体のフロー」の後半部分をご紹介したいと思います。
カエルと実践する CI/CD CI 編
前回のウェビナーでは「CI/CD」の入門的な内容についてご紹介致しました。出来るだけ特定の製品やツールの実装に触れることはせず、CI/CD の原典と呼ばれる書籍・記事の内容をベースに CI/CD の基礎となる考え方やプラクティスを中心にお伝えしました。
今回のウェビナーでは、前回の続きとして CI/CD を実際に導入するにあたり、具体的な製品を中心にその設定方法やデモをご紹介致します。またその際に使用する CI/CD のパイプラインに関してはもちろん、コードをソースコードリポジトリにプッシュした瞬間から本番環境へデプロイされるまでの「DevOps 全体のフロー」に必要となる CI/CD 以外の他のコンポーネントに関してもその概要を合わせてお伝え致します。
今回は前半 CI 編、後半 CD 編のうちの前半 CI 編になります。
猿でもわかる CI/CD
This document discusses CI/CD (Continuous Integration/Continuous Delivery). It begins by defining CI as integrating code changes frequently using automated builds and tests. CD is defined as taking CI further by making sure code changes can be released to production at any time by having multiple environments. The document then provides a brief history of CI/CD concepts and tools. It discusses how CI works with version control systems and testing. Continuous Delivery is described as getting code to a releasable state while Continuous Deployment is automatically deploying all code changes. The document encourages using CI/CD practices as part of a DevOps approach with infrastructure as code.
カエルと実践するバイナリ・リポジトリマネージャー
前回のウェビナーでは「バイナリ・リポジトリマネージャー」の基礎的な内容について概要をお話しさせていただきました。そもそもバイナリ・リポジトリマネージャーとは何なのか、それを使ってどのように DevOps を実現するのか、ソースコード管理との違い、組織に適用するにはどのようなステップを踏めばいいのかなどについて概念的な内容をお伝えしました。今回は実際の製品（JFrog Artifactory）をベースに具体的なバイナリ・リポジトリマネージャーのお話をデモを交えてご紹介させていただきます。
猿でもわかるバイナリ・リポジトリマネージャー
2020/04/09 開催の JFrog Japan Webinar の内容です。
「リポジトリマネージャー」がどんなものなのか、それがあると何が嬉しいのか、ソースコード管理 (VCS) との違いは？それを用いてどのように DevOps を加速させるのか、段階的に組織内で適用して行くにはどうすれば良いか、などについて初心者の方を対象にお話ししています。
クラウド時代の Spring Framework (aka Spring Framework in Cloud Era)
This document discusses Spring Framework and Spring Cloud in the context of cloud computing. It begins with an overview of Spring Framework and its history. It then discusses Spring 2015, Cloud Foundry and its relationship with Java/Spring applications. A large portion of the document is dedicated to explaining Spring Cloud, its subprojects including Spring Cloud Config, Spring Cloud Bus, Spring Cloud Netflix, and Spring Cloud Connectors. It provides details on how each subproject works and its purpose in building cloud native applications on distributed environments.
Spring Cloud in a Nutshell
This presentation might be obsoleted: Please refer to http://www.slideshare.net/tsuyo/ss-47021186 as a new one (“Spring Cloud” used to mean “Spring Cloud Connectors” only, but now it means comprehensive tools for distributed systems including Spring Cloud Connectors. Refer to the presentation above for the details)
More from Tsuyoshi Miyake (17)
クラウド時代の Spring Framework (aka Spring Framework in Cloud Era)
クラウド時代の Spring Framework (aka Spring Framework in Cloud Era)
Recently uploaded
May Marketo Masterclass, London MUG May 22 2024.pdf
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
GreenCode-A-VSCode-Plugin--Dario-Jurisic
Presentation about a VSCode plugin from Dario Jurisic at the GSD Community Stage meetup
DDS-Security 1.2 - What's New? Stronger security for long-running systems
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
How to write a program in any programming language
How to write a program in any programming language
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Graspan: A Big Data System for Big Code Analysis
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Artificia Intellicence and XPath Extension Functions
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
openEuler Case Study - The Journey to Supply Chain Security
openEuler Case Study - The Journey to Supply Chain Security
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
#AIFusionBuddyUserExperience
#AIFusionBuddyforBeginners,
#AIFusionBuddyBenefits,
#AIFusionBuddyComparison,
#AIFusionBuddyInstallation,
#AIFusionBuddyRefundPolicy,
#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
#AIFusionBuddyNewbieFriendly,
#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
Using Xen Hypervisor for Functional Safety
An update on making Xen hypervisor functionally safe and enhancing its usage in automotive and industrial use cases
SWEBOK and Education at FUSE Okinawa 2024
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
This session covers GraalVM & Spring Boot, Spring AOT, performance optimizations and using libraries
Energy consumption of Database Management - Florina Jonuzi
Presentation from Florina Jonuzi at the GSD Community Stage Meetup on June 06, 2024
Microservice Teams - How the cloud changes the way we work
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Enterprise Resource Planning System in Telangana
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
GraphSummit Paris - The art of the possible with Graph Technology
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Recently uploaded (20)
May Marketo Masterclass, London MUG May 22 2024.pdf
May Marketo Masterclass, London MUG May 22 2024.pdf
DDS-Security 1.2 - What's New? Stronger security for long-running systems
DDS-Security 1.2 - What's New? Stronger security for long-running systems
How to write a program in any programming language
How to write a program in any programming language
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Artificia Intellicence and XPath Extension Functions
Artificia Intellicence and XPath Extension Functions
openEuler Case Study - The Journey to Supply Chain Security
openEuler Case Study - The Journey to Supply Chain Security
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
Energy consumption of Database Management - Florina Jonuzi
Energy consumption of Database Management - Florina Jonuzi
Microservice Teams - How the cloud changes the way we work
Microservice Teams - How the cloud changes the way we work
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code
GraphSummit Paris - The art of the possible with Graph Technology
GraphSummit Paris - The art of the possible with Graph Technology
猿でもわかるコンテナ・オーケストレーション
- 2. 2 § § Senior DevOps Acceleration Engineer § DevOps Liquid Software § @tsuyoshi_miyake@tsuyo @tsuyo
- 3. 3 § Webinar Ø § § Q&A Ø Ø Chat
- 5. 5
- 6. 6
- 7. § § VM OS 7
- 8. vs vs VM 8
- 9. vs vs VM 9
- 10. 10 Linux cgroups namespaces Union File System
- 11. 11
- 12. 12
- 13. 13
- 16. 16 - https://www.redhat.com/en/topics/automation/what-is-orchestration by DeepL Photo by Victoire Joncheray on Unsplash
- 17. § § § § § Kubernetes Docker Swarm Mesos Nomad § Kubernetes (K8s) 17
- 18. Kubernetes 18
- 19. Kubernetes 19 - https://kubernetes.io/docs/concepts/overview/what-is-kubernetes/ by DeepL Photo by Ibrahim Boran on Unsplash
- 20. Kubernetes § § § § NFS iSCSI § § Desired State Actual State § § § § SSH 20
- 21. 21 Kubernetes
- 22. 22
- 23. Kubernetes API § API § § Pod, Controller, Service, Storage etc. § API § JSON RESTful API § K8s 23
- 24. Pod § Kubernetes § 1 § Deployment Job § § Pod § Kubernetes Pod § Controller § ReplicaSet § Deployment ReplicaSet 24
- 25. Kubernetes § Kubernetes § API 25 - https://kubernetes.io/docs/concepts/overview/components/
- 26. 26
- 27. 27 kube-apiserver Kubernetes API etcd K/V kube-scheduler Pod kube-controller- manager Node controller: Replication controller: Pod Endpoints controller: Pod
- 28. 28 kubelet kube-proxy container runtime Docker containerd CRI-O Kubernetes CRI (Container Runtime Interface)
- 29. Deployment 29
- 30. Kubernetes 30
- 32. § 2000 § DB § § Netflix OSS Hystrix § § § § § Istio Open Service Mesh (OSM) 32
- 33. Docker § Docker Registry HTTP API V2 § JFrog Artifactory § § § § § § § Helm Chart 33
- 34. Helm § Kubernetes § API § Helm Charts § ChartCenter Hub 34
- 35. § § Kubernetes § Kubernetes API § Kubernetes 35
- 36. Q&A
- 37. THANK YOU!