Easy Microservices in the cloud with Kubernetes and Istio

Transcript

1. Sveiki Lithuania
2. Questions @ sli.do
3. Easy microservices in the cloud with Kubernetes & Istio
4. Sendil Kumar @sendilkumarn
7. Senior Software Engineer @uber
8. Passionate about Open Source Senior Software Engineer @uber
9. Passionate about Open Source Senior Software Engineer @uber Team member @JHipster
10. Passionate about Open Source Senior Software Engineer @uber Team member @JHipster Crafting @KHipster
11. Agenda K8s Istio JHipster Microservices JHipster Microservices K8s & Istio
12. Docker
13. Docker Self Contained images
14. Docker Self Contained images Portability
15. Docker Managing the infrastructure
16. Docker Managing the infrastructure Deciding when and how to run the applications
17. Kubernetes
18. Kubernetes De-coupled infrastructure completely
19. K8s is an open-source system
20. K8s is an open-source system that automates deployment containerised applications
21. K8s is an open-source system that automates deployment scales (up/down/in/out) Containerised applications
22. K8s is an open-source system that automates deployment scales (up/down/in/out) manages Containerised applications
23. K8s makes it easy and simple
24. But K8s itself is not simple
25. How Kubernetes works?
26. Cluster mode
27. Kubernetes Master Nodes Nodes Nodes
28. kubectl apply -f some.yml Api Server etcd Scheduler Controller create yaml file connects via CLI adds to the queue stores sends to the controller Kubernetes Land
29. Api Server etcd Scheduler Controller Kubernetes Land Control Plane
30. Worker Node signals to start the deployment Kubelet Kubelet Kubelet Worker Node Kubelet Kubelet Kubelet Worker Node Kubelet Kubelet Kubelet Scheduler
31. handles networking Worker Node Kubelet Kube proxy Kubelet Kube proxy Kubelet Kube proxy Kubelet Kube proxy
32. K8s states the (desired) running state of application
33. Microservices
34. more freedom to react Microservices
35. respond faster Microservices
36. Technology Heterogeneity
37. Fault isolation
38. Granular Scaling
39. ❌ ❌ ❌ ❌ ❌ ❌ ❌ ❌ ❌
40. Don’t violate DRY inside microservice.
41. Microservices with JHipster
42. API Gateway BFF Pattern
43. How does JHipster app looks like?
44. Java / Kotlin backend Zuul UAA
45. Java / Kotlin backend Zuul UAA Microservices Gateway
46. Service Registry
47. JHipster Registry Consul
48. JHipster Registry Consul Eureka + Spring Cloud Config Admin Server Easier in multi-node cluster Availability over consistency Consistency over Availability - All nodes provide correct detail every time
49. Consoles
50. Elasticsearch Logstash Kibana JHipster Console
51. Consul / JHipster Registry Console Microservices Gateway Microservices
52. We will generate…
53. Store Gateway Notification Invoice Product
54. JHipster demo time
56. Harder to control
57. Harder to Manage
58. Harder to Secure
59. Service A Service B Service C
60. Service A Service B Service C Logging Monitoring Networking
61. Service A Service B Service C Common Services…
62. Istio
63. Service mesh
64. network of inter connected microservices
65. Without any changes in your services
66. Without any changes in your services Control Connect Secure Observe
67. But how Istio does it?
68. App PROXY Envoy proxy
69. Envoy proxy Lightweight c++ protocol Platform-agnostic Network abstraction
70. App PROXY Mixer Policy control Telemetry collection
71. App PROXY Mixer Control Plane
72. Control Plane App PROXY Mixer Pilot Galley Citadel Service discovery Validate, process & distribute Authentication
73. Control Plane App PROXY Mixer Pilot Galley Citadel Service discovery Validate, process & distribute Authentication Data plane
74. Control Plane App PROXY Mixer Pilot Galley Citadel Control Connect Secure Observe
75. JHipster kubernetes
76. • Kubernetes + Istio configuration • Running in GCloud
77. The best practices
78. Single Responsibility Principle Smaller YAML files Split the files
79. Smaller image sizes Alpine images for the win Faster to boot
80. Healthy - Zombie
81. Single process in a container… Docker don’t know which process crashed
82. Services - RED pattern Requests - Errors - Duration pattern RED
83. Resources - USE pattern Utilization - Saturation - Errors pattern
84. Think about Requests / Limits
85. Clean up unused resources
86. Monitor and tune
87. Questions…
88. Thanks…