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Journey to Containerized Application / Google Container Engine
Google has transitioned to using containers as the sole runnable entity in its infrastructure. This allows applications to be split into containers based on functions, providing flexibility and efficiency. Containers can be scheduled across multiple hosts like a process scheduler, utilizing resources as a single computer and easing management. Developers benefit from not having to worry about infrastructure details and being able to dynamically change and scale application components.
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Journey to Containerized Application / Google Container Engine
- 1. Google confidential |Do not distribute Journey to Containerized Applications Google Container Engine Etsuji Nakai Cloud Solutions Architect at Google 2016/07/29 ver1.0
- 2. $ who ami ▪Etsuji Nakai Cloud Solutions Architect at Google Twitter @enakai00
- 3. What is GoogleCloud Platform?
- 4. Google’s Vision “to provideaccess to the world's information in one click.”
- 5. How? Datacenter as aComputer
- 6. How? Controlled by DistributedSoftware Technology
- 7.
- 8. What is GoogleCloud Platform? Opening up Computing Resource from Google’s Infrastructure
- 9. Global Network Infrastructure ▪Edge Points of Presence – Entry points to the Google’s internal network infrastructure. – Being used to deliver Google’s service contents. https://peering.google.com/#/infrastructure
- 10. Global Private Networkon GCP — instance-b.c.cloud-ace-demo.internal ping statistics — 100 packets transmitted, 100 received, 0% packet loss, time 99001ms rtt min/avg/max/mdev = 0.327/0.401/0.679/0.053 ms Inter-zone latency example https://cloud.google.com/compute/docs/networking
- 11. Cloud Load Balanceron GCP Single global IP address distributes packets for ALL regions. https://cloudplatform.googleblog.com/2015/09/Announcing-new-global-load-balancing-locations-and-new-Carrier-Interconnect-partner-Orange-Business-Services.html
- 12. Google Cloud Platformin a Nutshell “Software that works easily, readily and automatically.”
- 13.
- 14. More Insights, MoreFreedom ▪ Understanding the engineering intensions, the intended use cases of the technology gives you a better control of the infrastructure. http://research.google.com/pubs/pub43438.html http://research.google.com/pubs/pub44824.html You don't have to build it yourself. However, you'd still better understand it.
- 15. Google’s Journey onContainerized Apps http://queue.acm.org/detail.cfm?id=2898444
- 16.
- 17. サーバーの境界を意識しないアプリケーションデプロイ ▪ コンテナの配置先を自動的に振り分ける仕組みを用いて、複数ホストを「１つのコン ピューティングリソース」として活用します。 ▪ アプリケーションを機能単位に分割してコンテナ化することで、さらなるメリットが得られま す。 –必要な機能を負荷に応じてオートスケールします。 – 機能単位でコンテナを入れ替えることにより、稼働中のアプリケーションの動的な機能変更が可能 になります。 コンテナ ホスト コンテナ ホスト コンテナ ホスト ・・・ 複数ホストを束ねて「１つのコンピュータ」として活用 マイクロサービス化 アプリケーション Japanese page
- 18. ▪ Nonetheless, theisolation and dependency minimization provided by containers have proved quite effective at Google, and the container has become the sole runnable entity supported by the Google infrastructure. ▪ Building management APIs around containers rather than machines shifts the "primary key" of the data center from machine to application. – It relieves application developers and operations teams from worrying about specific details of machines and operating systems – it provides the infrastructure team flexibility to roll out new hardware and upgrade operating systems with minimal impact on running applications and their developers – it ties telemetry collected by the management system (e.g., metrics such as CPU and memory usage) to applications rather than machines. ⇒ It allows application developers to use the infrastructure as a single computer hiding hardware and operating systems. Key Takeouts
- 19. Application Deployment withoutSystem Boundaries ▪ The container scheduler places containers across multiple hosts, like a process scheduler of the operating system. ▪ Splitting application into multiple containers based on functions gives additional flexibility. – Autoscaling not a whole application, but just a necessary component. – Specific functions can be replaced without disrupting the service. Container Host Container Host Container Host ・・・ A single computer on top of a Kubernetes cluster Microservice Application
- 20. Combining Microservices withfront/back-ends Load Balancing Compute Engine Container Engine Object Store Cloud SQL Cloud Datastore Cloud Storage RDB NoSQL DB Microservices Common Backend Services Existing Applications Global Network Agile / Dynamic / Scalable parts of the Application
- 21.
- 22. Share Your BestPractices! ▪ Architecture Design – How to migrate from existing architecture. ▪ Practical Knowledge – The devil lives in the detail, as always. ▪ Aligning the team toward DevOps – Need to remap existing people to a new set of roles.
- 23.