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Kubernetes + netflix oss
- 1. Microservices with Spring Cloudand Kubernetes
- 2. About Cristiano Altmann ●Desenvolvedor de software +10 anos ● Ilegra desde novembro / 2016 ● Interesse: ○ Microservices ○ Reactive services ○ Event source + cqrs ● https://www.linkedin.com/in/crisaltmann/
- 3. About José Porto ●Desenvolvedor de software +10 anos ● Ilegra desde agosto / 2016 ● Interesse: ○ Microservices ○ Big Data ○ Functional Programming ● https://www.linkedin.com/in/jose-eduardo-porto/
- 4. Summary ● Motivations ● Highlevel architecture ● Kubernetes ● Spring cloud ● Conclusion
- 5. Motivations ● Organizational ○ ITDelivery ○ Legacy system ○ Multiple squads, same software ● TI ○ Scale ○ Operational costs ● Business
- 6. High Level Architecture MSA MS B MS C
- 7. High Level Architecture MSA MS B MS C
- 8. Kubernetes Kubernetes is anopen-source system for automating deployment, scaling, and management of containerized applications.
- 9. Kubernetes ● Create byGoogle ● Active community (RedHat, Google, …) ● Scheduler ● Hybrid (public or private cloud) ● API REST
- 10. Kubernetes - concepts ●Deployment ● Pod ● Service ● Node ● Replication controller
- 11. Kubernetes - Node ●Worker machine ● Where pods are running
- 12. Kubernetes - Deployment ●Configure a desired state ○ Number of replicas ○ Docker image ○ Readiness and liveness probe ○ Environment Variables ● Replica Controller read and control the cluster based on it. ● Namespace
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- 14. Kubernetes - Pod ●Instance of a deployment ● Pod is the container in execution ● Replication Controller delete, restart and create pods
- 15. Kubernetes - Pod ●Instance of a deployment ● Pod is the container in execution ● Replication Controller delete, restart and create pods
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- 17. Kubernetes - Service ●Pods are mortal ● Dynamic ip and port ● Select pod by label ● Load Balancer ● Provide external access
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- 19. Kubernetes - Zerodowntime ● Readiness probe ● Liveness probe
- 20. Spring Cloud MS AMS B MS C MS A MS B MS C
- 21. Spring Cloud MS AMS B MS C MS A MS B MS C
- 22. Technologies ● Java 8 ●Spring Boot ● NodeJS
- 23. Spring Cloud Netflix ●Dados gerais do netflix
- 24. Ribbon ● Integration withservice discovery ● Fault tolerance ● Clients integrated with load balancers ● Implements Circuit Breaker pattern ● Support to protocols (HTTP, TCP, UDP)
- 25. ● RoundRobinRule ● AvailabilityFilteringRule ●WeightedResponseTimeRule Ribbon - Load Balanced Rules
- 26. Ribbon - LoadBalanced Service A Service B Service B
- 27. Ribbon - LoadBalanced Service A Service B Service B
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- 32. Feign ● Connection toHTTP APIs ● Uses minimal overhead and code ● Abstraction for Ribbon and Hystrix
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- 36. Hystrix ● Circuit breakpattern ● Timeout ● Fallback ● Real-time operations ● Concurrency
- 37. Hystrix - CircuitBreaker
- 38. Hystrix Service A ServiceB Service C API Browser Mobile
- 39. Hystrix Service A ServiceB Service C API Browser Mobile Fallback
- 40. Hystrix - FallbackMethod
- 41. Hystrix ● Turbine stream ●Metrics from Dashboard ● Several indicators: ○ Circuit state ○ Latency ○ Request rate ○ Error percentage from 10 last requests
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- 45. Spring Cloud Config ●Config model spring (application, profile, label) ● Multiple EnvironmentRepository ○ GIT ○ JDBC ○ Filesystem ○ Vault ● Authorization ● Lightweight
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- 47. ● Fast andeasy to deploy applications ● Metrics ● Resilience ● Easy monitoring ● Services separate by squad ● DevOps ● Delivery speed Conclusions