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Languages don't matter anymore!
The document discusses the advantages of using sidecar patterns and container orchestration in microservices architectures for cross-cutting concerns, language-agnostic functionality, and ease of operational management. It highlights the complexity of handling configurations, error management, and scaling challenges when using different programming languages. Additionally, it provides examples of tools that facilitate these patterns, such as airbag, dqd, fluentd, and istio.
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Languages don't matter anymore!
- 1. @OrRosenblatt @Yshayy Dev.IL meetup Languages don’tmatter anymore!
- 2. We all knowthat story...
- 3. Our service isgoing production...
- 4. Adding a newservice
- 5. As developers, wewant to choose the right tool for the job.
- 6. Same capabilities asbefore... â—Ź node-authentication-package â—Ź node-monitoring-package â—Ź node-logging-package â—Ź node-storage-package â—Ź node-configuration-package â—Ź etc. â—Ź python-authentication-package â—Ź python-monitoring-package â—Ź python-logging-package â—Ź python-storage-package â—Ź python-configuration-package â—Ź etc.
- 8. Ain’t nobody gottime for that!
- 9. Use Case -Workers
- 10. Process items froma queue $$$Cloud Queue
- 11. Process items froma queue Cloud Queue
- 12. Process items froma queue Cloud Queue
- 13. Process items froma queue Cloud Queue
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- 17. Worker Helper Library ?? ? Configuration ? ? ?
- 18. Worker Helper Library ?? Configuration Error handling ? ?
- 19. Worker Helper Library ? ConfigurationError handling Concurrency ?
- 20. Worker Helper Library ConfigurationError handling Concurrency Monitoring
- 21. Need to implementin every language! (Not all languages are born equal…)
- 22. Process items froma queue - Two processes Cloud Queue Worker Helper Email Client
- 23. Main process anda Sidecar process Cloud Queue Worker Helper Email Client
- 24.
- 25. Sidecar pattern â—Ź Differentprocesses, same host â—Ź Also known as Sidekick pattern, decomposition pattern â—Ź Shared resources â—‹ Network â—‹ Storage â—‹ Lifecycle â—‹ IP
- 26. DQD - DequeueDaemon Cloud Queue DQD Email Client
- 27. DQD in anutshell - Dequeue items from a source - POST item to an endpoint using http - Find the right rate/parallelism level - Expose metrics - Handle errors - Extensible - Abstract queue-worker relation Written once, can be used anywhere
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- 29. Sidecars Packages/Libraries â—Ź Languageagnostic functionality â—Ź Isolated loosely-coupled components â—Ź Leaner testable components â—Ź Upgrades are easier Host Main App Sidecar Main App Package Host
- 30. â—Ź Same host â—‹Zero Latency â—‹ Security out of the box â—Ź Better Availability â—‹ Limited blast radius â—‹ Scaling with the main application â—Ź Shared file system â—Ź Multiple configuration Sidecars Microservices Host Main App Sidecar Service Service Service Service
- 31. Side cars inProduction
- 32. Not all isperfect... â—Ź Process overhead â—Ź Operational Complexity
- 33. Operational complexity ? ?? ? ? Runtime Conflicts ? ? ? ? ?
- 34. Operational complexity ? ?? ? Runtime Conflicts Security ? ? ? ?
- 35. Operational complexity ? ?? Runtime Conflicts Security Configuration ? ? ?
- 36. Operational complexity ? ? Runtime Conflicts SecurityConfiguration Health Checking ? ?
- 37. Operational complexity ? Runtime Conflicts Security ConfigurationHealth Checking Scheduling / Allocation ?
- 38. Operational complexity Runtime Conflicts Security ConfigurationHealth Checking Scheduling / Allocation Scaling
- 40. What is acontainer ● Isolated process ● “VM like” isolation ○ Filesystem ○ Process namespace ○ Cpu/Memory quotas ○ Networking ● Fast boot-time
- 41. What and why? â—ŹGreat containerization tooling â—Ź Images as packages/artifact format â—Ź No conflicting dependencies â—Ź Easy to config â—Ź Fast Multiple containers deployment
- 42. Operational complexity Runtime Conflicts Security ConfigurationHealth Checking Scheduling / Allocation Scaling
- 43. What and why? â—ŹContainer orchestration platform â—Ź Scheduling â—Ź Easy to group containers into pod â—Ź Configuration files as deployment â—Ź Auto-scaling
- 44. Operational complexity Runtime Conflicts Security ConfigurationHealth Checking Scheduling / Allocation Scaling
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- 46. How far canwe go?
- 47. Soluto/Airbag - OIDCauthentication Incoming traffic Airbag OIDC Provider Sync Keys Main Application Validate jwt token
- 48. FluentD sidecar -log shipping FluentD /Logs volume Main Application Log analytics service Scrape Write Send
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- 50. Istio - servicemesh Envoy Main Application Envoy Main Application Envoy Main Application
- 51. Summary â—Ź Sidecars allowus to solve cross-cutting concerns in a language agnostic way â—Ź Container platform make operational management much easier â—Ź Open source Sidecars code/images can solve hard problems with relatively easy and loose integration. Use sidecars and go polyglot!
- 52. Additional resources â—Ź Tools: â—‹AirBag - www.github.com/soluto/airbag â—‹ DQD - www.github.com/soluto/dqd â—‹ FluentD - https://www.fluentd.org/ â—‹ Istio - https://istio.io/ â—‹ Skaffold - https://github.com/GoogleContainerTools/skaffold â—Ź Design patterns for container-based distributed systems â—Ź Prana: A Sidecar for your Netflix PaaS based Applications and Services
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