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Atlanta Microservices Day: Istio Service Mesh

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Here's my intro to service mesh and Istio

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Atlanta Microservices Day: Istio Service Mesh

  1. 1. Microservices: from Netflix OSS to Istio Service Mesh Christian Posta (@christianposta) Senior Principal Solutions Architect
  2. 2. Christian Posta Senior Principal Solutions Architect Twitter: @christianposta Blog: http://blog.christianposta.com Email: christian@redhat.com Slides: http://slideshare.net/ceposta • Author “Microservices for Java developers” • Committer/contributor lots of open-source projects • Worked with large Microservices, web-scale, unicorn company • Blogger, speaker
  3. 3. Microservices are distributed systems @christianposta
  4. 4. The network… does what it wants. @christianposta
  5. 5. As we move to services architectures, we push the complexity to the space between our services. @christianposta
  6. 6. Have we had to solve for this in the past? @christianposta
  7. 7. http://bit.ly/application-networking@christianposta
  8. 8. http://bit.ly/application-networking@christianposta
  9. 9. http://bit.ly/application-networking@christianposta
  10. 10. Microservices libraries
  11. 11. http://bit.ly/application-networking@christianposta
  12. 12. • Netflix Hystrix (circuit breaking / bulk heading) • Netflix Zuul (edge router) • Netflix Ribbon (client-side service discovery / load balance) • Netflix Eureka (service discovery registry) • Brave / Zipkin (tracing) • Netflix spectator / atlas (metrics) “Microservices” patterns
  13. 13. But I’m using Spring! • spring-cloud-netflix-hystrix • spring-cloud-netflix-zuul • spring-cloud-netflix-eureka-client • spring-cloud-netflix-ribbon • spring-cloud-netflix-atlas • spring-cloud-netflix-spectator • spring-cloud-netflix-hystrix-stream • ….. • ...... • @Enable....150differentThings
  14. 14. But I’m using Vert.x! • vertx-circuit-breaker • vertx-service-discovery • vertx-dropwizard-metrics • vertx-zipkin? • ….. • ...... @christianposta
  15. 15. Screw Java - I’m using NodeJS! JavaScript is for rookies, I use Go! But python is so pretty! I prefer unreadability… Perl for me! @christianposta
  16. 16. Get the point? @christianposta
  17. 17. Things you must solve for because… distributed systems • Service discovery • Retries • Timeouts • Load balancing • Rate limiting • Thread bulk heading • Circuit breaking @christianposta
  18. 18. …continued • Routing between services (adaptive, zone-aware) • Deadlines • Back pressure • Outlier detection • Health checking • Traffic shaping • Request shadowing @christianposta
  19. 19. …continued • Edge/DMZ routing • Surgical / fine / per-request routing • A/B rollout • Internal releases / dark launches • Fault injection • Stats, metric, collection • Logging • Tracing
  20. 20. These are all horizontal concerns and apply to all services regardless of implementation. @christianposta
  21. 21. Drawbacks to library approach • need one for each combination language/framework • need to maintain, upgrade, retire • classpath/namespace pollution • increases operational complexity • force specific languages • inconsistency • correctness
  22. 22. Let’s abstract this functionality to a single binary and apply to all services. • Allow heterogeneous architectures • Remove application-specific implementations of this functionality • Consistently enforce these properties • Correctly enforce these properties • Opt-in as well as safety nets @christianposta
  23. 23. @christianposta
  24. 24. Evolution of application networking
  25. 25. Meet Envoy Proxy http://envoyproxy.io
  26. 26. Envoy is… • service proxy • written in C++, highly parallel, non-blocking • L3/4 network filter • out of the box L7 filters • HTTP 2, including gRPC • baked in service discovery/health checking • advanced load balancing • stats, metrics, tracing • dynamic configuration through xDS
  27. 27. @christianposta
  28. 28. Envoy implements • zone aware, least request load balancing • circuit breaking • outlier detection • retries, retry policies • timeout (including budgets) • traffic shadowing • rate limiting • access logging, statistics collection • Many other features!
  29. 29. As an edge proxy
  30. 30. As an shared proxy
  31. 31. As a service-instance proxy
  32. 32. Service instance proxy AKA Sidecar
  33. 33. Quick demo? @christianposta https://vimeo.com/252272973
  34. 34. Service mesh
  35. 35. “2018 is the year of the service mesh” Clayton Coleman (@smarterclayton) Red Hat OpenShift Platform Architect @christianposta
  36. 36. How do we reason about a fleet of these service proxies in a large cluster? @christianposta
  37. 37. A service mesh is decentralized application- networking infrastructure between your services that provides resiliency, security, observability, and routing control. A service mesh is comprised of a data plane and control plane. @christianposta Time for definitions:
  38. 38. All traffic between our applications flows through these proxies. The proxies make up the “data plane” @christianposta
  39. 39. Meet Istio.io http://istio.io A control plane for service proxies
  40. 40. What higher-order clusters semantics does Istio enable? • Service observability • Graduated deployment and release • Policy enforcement • Cluster reliability • Chaos testing
  41. 41. http://bit.ly/like-a-unicorn
  42. 42. Demo! @christianposta https://vimeo.com/252272433
  43. 43. Thanks! BTW: Hand drawn diagrams made with Paper by FiftyThree.com  Twitter: @christianposta Blog: http://blog.christianposta.com Email: christian@redhat.com Slides: http://slideshare.net/cepostaFollow up links: • http://envoyproxy.io • http://istio.io • http://blog.christianposta.com/istio-workshop/slides/ • http://launch.openshift.io • http://blog.openshift.com • http://developers.redhat.com/blog • https://www.redhat.com/en/open-innovation-labs
  44. 44. @christianposta
  45. 45. @christianposta Basic netflix OSS jars take up ~24MB

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