Infrastructure testing using Kubernetes

Testing Kafka replication using uReplicator, using Kubernetes, Prometheus, Grafana and friends

1. Infrastructure testing using Kubernetes @rantav
2. Infrastructure testing using Kubernetes OR: Testing Kafka replication over the Atlantic using Golang, Kubernetes and friends
3. THE GOAL Test Kafka replication across the Atlantic
4. Hello! I am Ran Tavory I work on multi-region You can find me @rantav (slack/twitter/email) 4
5. The Goal: Test Kafka Replication ⊙ Replicate 30MB - 300MB of traffic per second ⊙ Validate correctness ⊙ Measure latency ⊙ Run test cases ◦ Broker crash, cluster resize, packet loss... 5
6. HOW ? High level design 6
7. Kafka Replication From https://github.com/AppsFlyer/kafka-mirror-tester 7
8. With a home-grown producer and consumer 8
9. WHAT DO WE WANT? 9 DOCUMENTATION
10. WHAT DO WE WANT? 10 REPRODUCIBILITY
11. WHAT DO WE WANT? 11 MONITORING
12. KUBERNETES 12
13. You keep saying this word Kubernetes What does it mean? 13
14. A brief introduction to Kubernetes 14
15. CLUSTER MANAGER Kubernetes is a 15
16. NODES The host running a kubelet and a set of Pods 16 It manages
17. PODS Pods consist of 1 or more containers 17 Nodes contain
18. DEPLOYMENTS A set of stateless pods 18 Pods run
19. STATEFUL SET A set of stateful pods 19 Pods also run
20. KUBECTL The k8s CLI 20 You control k8s using
21. “
22. $ make k8s-all 22
23. What does that do? ⊙ Provision VMs in AWS ⊙ Setup VPCs, Subnets, Routing Tables ⊙ Create Security Groups ⊙ Setup Load Balancers ⊙ Install Kubernetes (etcd, masters, nodes) ⊙ Setup Monitoring (Prometheus & Grafana and install dashboard) ⊙ Install Weave Scope ⊙ Install Kafkas (and test them) ⊙ Install uReplicator (and test it) ⊙ Install test programs ⊙ And more… (ASGs, DHCP etc) 23
24. $ kops create cluster \ --zones us-east-1a,us-east-1b,us-east-1c \ --node-count 40 \ --node-size i3.large \ --master-size m4.large \ --master-zones us-east-1a \ --networking calico \ --cloud aws 24
25. What are we building? us-east-1 25 eu-west-1
26. What are we building? us-east-1 40 nodes k8s cluster 26 eu-west-1 48 nodes k8s cluster
27. What are we building? us-east-1 40 nodes k8s cluster 30 brokers kafka cluster 27 eu-west-1 48 nodes k8s cluster 30 brokers kafka cluster
28. What are we building? us-east-1 40 nodes k8s cluster 30 brokers kafka cluster 28 eu-west-1 48 nodes k8s cluster 30 brokers kafka cluster 8 workers uReplicator
29. What are we building? us-east-1 40 nodes k8s cluster 30 brokers kafka cluster 10 producers 29 eu-west-1 48 nodes k8s cluster 30 brokers kafka cluster 8 workers uReplicator 4 consumers
30. 30 End Result
31. 31 Grafana Dashboard
32. 32 Prometheus
33. 33 Weave Scope
34. 34 Weave Scope
35. 35 Weave Scope
36. 36 kubectl example
37. TEST IT. Let’s put all this to test now 37
38. $ kubectl \ --context us-east-1.k8s.local \ -n kafka-source \ delete pod kafka-source-2 38 KILL A BROKER
39. 39 KILL A BROKER
40. $ kubectl \ --context us-east-1.k8s.local \ -n kafka-source \ scale \ statefulset kafka-source \ --replicas 29 40 RESIZE KAFKA CLUSTER
41. 41 RESIZE KAFKA CLUSTER
42. $ kubectl \ --context eu-west-1.k8s.local \ -n ureplicator \ scale deployment \ ureplicator-worker \ --replicas 9 42 ADD uREPLICATOR WORKER
43. 43 ADD uREPLICATOR WORKER
44. $ make k8s-redeploy-tests 44 ADD NEW TOPIC
45. 45 ADD NEW TOPIC
46. $ make k8s-kafka-shell-source $ bin/kafka-topics.sh --zookeeper zookeeper:2181 --alter --topic topic5 --partitions 300 46 ADD PARTITIONS
47. $ kubectl --context eu-west-1.k8s.local \ -n ureplicator port-forward \ ureplicator-controller-76ff85b889-l9mzl 9000 $ curl -X DELETE http://localhost:9000/topics/topic5 $ curl -X POST -d \ '{"topic":"topic5", "numPartitions":"300"}' \ http://localhost:9000/topics 47 ADD PARTITIONS (cont)
48. 48 PACKET LOSS
49. 49 PACKET LOSS
50. CODE DEEP DIVE Kubernetes, head first (just a few bites) 50
51. 51 Kafka kind: StatefulSet replicas: 30
52. Kafka Main container 52 image ports resources probes
53. 53 Kafka config
54. 54 Metrics sidecar container
55. 55 Kafka anti- affinity
56. 56 uReplicator deployment
57. 57 Producer deployment
58. 58 Consumer deployment
59. 59 Service monitoring
60. CODE DEEP DIVE Golang Producer/Consumer (just a few bites) 60
61. 61 Producer Main loop
62. 62 Producer channels p.ProduceChannel() <- m
63. 63 Consumer Main loop Loop until: signaled || done. Process event Type switch
64. 64 Consumer Process message
65. “ Question: How can multiple consumers validate message arrival order? 65
66. 66 Producer Sequence numbers messageKey = seq % partitions perKeySeq = seq / partitions
67. $ make k8s-delete-all 67
69. Thanks! Any questions? You can find me at @rantav & rantav@appsflyer.com 69 This presentation: https://speakerdeck.com/rantav/infrastructure-testing-using-kubernetes