Which Engine?

A quick rundown of which GCP computing option makes the most sense to use for different use cases.

Transcript

1. @tpryan Which Engine? Terrence Ryan @tpryan
2. @tpryan Introduction
3. @tpryan Who are you? Who are you?
4. @tpryan Computing Virtual machines Containers Serverless
5. @tpryan Virtual Machines
6. @tpryan Why Virtual Machines? • Recreate existing environments • Leverage existing skill sets • Run specialized software
7. @tpryan Virtual machines Compute Engine • 1 - 64 processors • .6 - 416 GB (.9 - 6.5 GB per proc) • Disk limits ◦ 65 TB Persistent ◦ 3 TB SSD ◦ 208 RAM • Preconfigured images ◦ Can build your own • Spin up in 10s of seconds
8. @tpryan Compute Engine demo Kick the tires and launch a few VMs
9. @tpryan Virtual machines Cloud Launcher • Prebuilt software images • Single systems • Groups of systems
10. @tpryan Containers
11. @tpryan Why Containers? • Performance • Repeatability • Portability
12. @tpryan Containers Container Engine • Managed Kubernetes
13. @tpryan Kuber-what-es? Kuber-what-es?
14. @tpryan Frontend 10.0.0.1 Public 130.91.x.x1 API 10.0.0.2 Public 130.91.x.x2 Data 10.0.0.3 Kubernetes • Container Orchestration System • Allows for running a large number of containers in production • Organizing them into workloads ◦ Microservices ◦ Scheduled jobs ◦ Batch jobs
15. @tpryan Kubernetes demo Whack a mole
16. @tpryan Kubernetes DNS Server Logging Service Discovery Monitoring !
17. @tpryan DNS Server Logging Service Discovery Monitoring ! Kubernetes
18. @tpryan Containers Container Engine • Managed Kubernetes (Containers as a service) • Smart defaults for ◦ Monitoring ◦ Logging ◦ DNS ◦ Service Discovery • Auto scaling App Engine flexible environment • Custom Runtime ◦ Bring your own Dockerfile • Autoscaling • Given one endpoint per service
19. @tpryan Containers Container Registry • Container image storage • Works with ◦ GKE ◦ App Engine flexible ◦ Docker Container Builder • Container building as service • Integrates with Container Registry • Integrated with build processes
20. @tpryan Serverless
21. @tpryan Why Serverless? • Systems Operations != Development • Metered costs • Eliminates wrote plumbing
22. @tpryan Serverless App Engine flexible runtime • Languages ◦ Java 8 / Servlet 3.1 / Jetty 9 ◦ Python 2.7 & 3.5 ◦ Node.js ◦ Ruby ◦ PHP ◦ Go App Engine standard runtime • Languages ◦ Python 2.7 ◦ Java 7 ◦ PHP 5.5 ◦ Go • Constrained capabilities • Incredibly rapid scale
23. @tpryan App Engine Load demo Quick demo showing App Engine in comparison to Compute Engine
24. @tpryan Serverless App Engine flexible runtime • Languages ◦ Java 8 / Servlet 3.1 / Jetty 9 ◦ Python 2.7 & 3.5 ◦ Node.js ◦ Ruby ◦ PHP ◦ Go App Engine standard runtime • Languages ◦ Python 2.7 ◦ Java 7 ◦ PHP 5.5 ◦ Go • Constrained capabilities • Incredibly rapid scale Cloud functions • Javascript / Node.js • Respond to events
25. @tpryan Cloud Functions Demo Very Quick Example of Cloud Functions
26. @tpryan Conclusions
27. @tpryan Virtual machines Containers Serverless Portability at the cost of efficiency Efficiency at the cost of portability Current industry compromise
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30. @tpryan Thank you terrenceryan.com @tpryan This preso: http://bit.ly/tpryan-compute