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Kubernetes (k8s) deep dive on containers, orchestration and scalability
- 1. @CesarTronLozai CLOUD NATIVE IT’S NOT TOO LATE TO LEARN ABOUT K8S
- 2. @CesarTronLozai 2019 - We must adopt Service Mesh to solve all problems with Kubernetes???
- 5. @CesarTronLozai CONTAINERS CONTAINERS VS VM source: https://www.docker.com/what-container
- 6. @CesarTronLozai CONTAINERS ADVANTAGES OF CONTAINERS ▸Portability: works everywhere ▸Immutable infrastructure ▸Lightweight footprint (ship only what you need) ▸Optimised (layers)
- 8. @CesarTronLozai CONTAINERS CONS OF CONTAINERS ▸Weak isolation: containers share same kernel ▸Performance impact with high number of layers ▸Security
- 10. @CesarTronLozai 10010010 01000100 10111010 10010010 01000100 10111010 10010010 01000100 10111010 INTRODUCTION DOCKER AND THEN WHAT? BUILD DEPLOY ? 10010010 01000100 10111010 10010010 01000100 10111010 10010010 01000100 10111010
- 11. @CesarTronLozai ORCHESTRATION POPULAR FRAMEWORKS ▸Amazon ECS ▸Azure Container Service ▸Docker Swarm ▸Kubernetes (k8s)
- 12. @CesarTronLozai KUBERNETES WHY KUBERNETES (K8S)? source https://octoverse.github.com/ data for 2017
- 13. @CesarTronLozai KUBERNETES WHY KUBERNETES (K8S)? ▸Built on the foundation of Google internal tool (Borg) ▸No cloud or architecture tie in, works “everywhere” ▸Native hosting on AWS, Azure and GCE ▸Rich declarative API (vs imperative API) ▸Open Source, large and active community
- 14. @CesarTronLozai KUBERNETES WHAT DOES IT DO? LIST [ ]
- 29. @CesarTronLozai KUBERNETES KUBERNETES SUMMARY ▸Turns hardware into RAM and CPU for Docker ▸Cluster abstracts concerns around managing hardware ▸Plays Tetris by scheduling Docker containers optimally
- 30. K8S BUILDING
- 31. @CesarTronLozai KUBERNETES POD ▸Pod, unit of scheduling POD CONTAIN ER A CONTAIN ER B LOCALHOST STORAGE apiVersion: extensions/v1beta1 kind: Deployment spec: replicas: 3 template: spec: containers: - name: imageA image: imageA:1.0 resources: limits: cpu: 800m memory: 800Mi ports: - containerPort: 8080 - name: imageB image: imageB:2.5 resources: limits: cpu: 800m memory: 800Mi ports: - containerPort: 3000
- 32. @CesarTronLozai KUBERNETES CLUSTER Worker 1 Worker 2 Worker 3 API POD FOO POD FOO POD FOO SCHEDU LER apiVersion: extensions/v1beta1 kind: Deployment spec: replicas: 3 template: spec: containers: - name: imageA image: imageA:1.0 ports: - containerPort: 8080 - name: imageB image: imageB:2.5 ports: - containerPort: 3000 Master
- 33. @CesarTronLozai KUBERNETES SERVICE Worker 1 Worker 2 Worker 3 API POD FOO POD FOO POD FOO SCHEDU LER Master foo foo foo http://foo:8080 ServicePOD apiVersion: v1 kind: Service metadata: name: foo spec: ports: - port: 8080 targetPort: 8080 protocol: TCP type: ClusterIP selector: app: foo app: foo app: foo app: foo
- 34. @CesarTronLozai KUBERNETES SERVICE CLUSTER POD FOO C POD BAR A:8080 B:3000 POD BAR A:8080 B:3000 bar http://bar:8080 ServicePOD
- 35. @CesarTronLozai KUBERNETES INGRESS CLUSTER POD BAR A:8080 B:3000 POD BAR A:8080 B:3000 bar ServicePOD LOAD BALANCER INGRESSCONTROLLER https://mydomain/bar
- 38. @CesarTronLozai ORCHESTRATION SCALABILITY ▸Pod dies -> Kubernetes restarts it ▸Need more replicas -> Kubernetes starts more pods ▸Need more hardware -> Add to Kubernetes cluster ▸Need less -> Scale down as easily
- 39. @CesarTronLozai TEXT SERVICE MESH Istio Conduit Pod Foo BAR SIDECAR SIDECAR FOO Pod Bar
- 40. @CesarTronLozai KUBERNETES & JAVA START YOUR OWN KUBERNETES JOURNEY @cesarTronLozai https://kubernetes.io/ https://medium.com/@cesar.tronlozai https://learnk8s.io/start-kubernetes-nodejs/
- 41. @CesarTronLozai KUBERNETES & JAVA START YOUR OWN KUBERNETES JOURNEY ▸ Install Minikube ▸ Create a cluster in the cloud ▸ Learn about RBAC ▸ k9s AS A PLATFORM ENGINEER AS A DEVELOPER ▸ Learn about k8s resources ▸ Learn about Helm, K8s operators ▸ Google Skaffold ▸ telepresence.io ▸ k9s
Editor's Notes
- LYVguest2200!
- I will use container/docker but they are different
- Jar: 10MB Jdk: 50MB Alpine: 10MB Total: 70MB
- Just be aware that Docker can’t just replace VMs Techniques for isolation: namespaces (mount, network) reduce scope of resources Control groups: enforces rules (e.g. memory, process will be killed if over hard memory limit)
- I’m not an expert Just be aware that Docker can’t just replace VMs
- how do you run multiple replicas How do you check for health and rest How do you make it available on the internet All of the issues Orchestration
- 2019: 58k starts, 20k forks Google THoughtworks radar: Adopt, use by many clients Cloud Native Computing Foundation serves as the vendor-neutral home for many of the fastest-growing projects on GitHub, including Kubernetes, Prometheus and Envoy, fostering collaboration between the industry’s top developers, end users, and vendors. CNCF is an open source software foundation dedicated to making cloud native computing universal and sustainable. Cloud native computing uses an open source software stack to deploy applications as microservices, packaging each part into its own container, and dynamically orchestrating those containers to optimize resource utilization. Cloud native technologies enable software developers to build great products faster.
- Relate to JVM parameter
- Talk about service discovery and load balancer
- Talk about service discovery
- Flexibility to adapt to change
- How to connect, observe, secure and control