Kubernetes on aws
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Kubernetes on AWS allows users to deploy and manage Kubernetes clusters on the AWS cloud infrastructure. It provides tools to create clusters across multiple AWS availability zones for high availability. Users can define Kubernetes objects like pods, services, deployments etc using kubectl and utilize AWS services like EBS volumes for persistent storage. The presentation demonstrated setting up a Kubernetes cluster on AWS using kube-up.sh along with examples of using EBS volumes in pods through persistent volume claims. It also showed monitoring and managing applications running on the Kubernetes cluster deployed on AWS.
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Kubernetes on aws
- 2. Agenda • Docker • Kubernetes • Kubernetes on AWS • Demo
- 3. Docker Automate the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere https://www.docker.com/what-docker#Why-Should-I-Care-(For-Developers)
- 4. Docker For Developers Docker automates the repetitive tasks of setting up and configuring development environments so that developers can focus on what matters: building great software.
- 5. Docker for Ops • Develop and deploy bug fixes and new features without roadblocks and scale applications in real time.
- 6. Diff VM • Containers have similar resource isolation and allocation benefits as virtual machines but a different architectural approach allows them to be much more portable and efficient.
- 7. Docker Engine • It uses a shared kernel and independent user mode sessions to provide isolated run-times for multiple applications on the same host.
- 8. Docker Container • It is a packaged application running in an isolated mode on a Docker host.
- 9. Docker Client • It provides a command line interface to control the Docker engine.
- 10. Docker Image • It is an application template ready to be deployed multiple times.
- 13. Docker Compose • Docker Compose allows you to define your multi-container application with all of its dependencies in a single file, then spin your application up in a single command
- 15. Kubernetes • Open Source Automation Framework for deploying, managing, and scaling applications.
- 16. Why Kubernetes • Kubernetes provides a common API and self- healing framework which automatically handles machine failures and application deployments, logging, and monitoring.
- 17. Kubernetes Concept • Clusters - set of compute, storage, network resource • Pods - colocated group of application containers that share volumes and a networking stack • Replication Controllers - ensure a specific number of pods, manage pods, status updates • Services - cluster wide service discovery
- 18. Architecture
- 20. kubectl • Pod • Replication controller • Deployment • Service • Volumes https://kubernetes.io/docs/user-guide/deployments/
- 21. Kubernetes on AWS https://kubernetes.io/docs/getting-started-guides/aws/
- 22. Kubernetes on AWS export AWS_DEFAULT_PROFILE=default export KUBERNETES_PROVIDER=aws; wget -q -O - https://get.k8s.io | bash export AWS_ACCESS_KEY_ID=XXXX export AWS_SECRET_ACCESS_KEY=XXX export KUBERNETES_PROVIDER=aws export KUBE_AWS_ZONE=us-east-1c export NUM_NODES=3 export MASTER_SIZE=t2.medium export NODE_SIZE=m3.large export AWS_S3_REGION=us-east-1 export AWS_S3_BUCKET=XXX export INSTANCE_PREFIX=k8s export NODE_ROOT_DISK_SIZE=10 export MASTER_ROOT_DISK_SIZE=10 export AWS_SSH_KEY=/Users/dummy/.ssh/metatron kube-up.sh
- 23. Amazon Container Service • Amazon ECS makes it easy to deploy, manage, and scale Docker containers running applications, services, and batch processes.
- 26. Screenshot
- 27. Screenshot
- 28. Episode • Pod restart • Failed Containers that are restarted by the kubelet are restarted with an exponential back-off delay (10s, 20s, 40s …) capped at five minutes, and is reset after ten minutes of successful execution
- 29. PersistentVolume • awsElasticBlockStore kind: PersistentVolume apiVersion: v1 metadata: name: metatron-pv labels: type: amazonEBS spec: capacity: storage: 5Gi accessModes: - ReadWriteMany awsElasticBlockStore: volumeID: vol-XXXXXXXXXXXXXXXX fsType: ext4
- 30. PersistentVolumeClaim kind: PersistentVolumeClaim apiVersion: v1 metadata: name: metatron-pvc labels: type: amazonEBS spec: accessModes: - ReadWriteOnce resources: requests: storage: 5Gi
- 31. Deployment spec: volumes: - name: ebs-volume awsElasticBlockStore: volumeID: vol-XXXXXXXXXXXXXXXX fsType: ext4 containers: - name: jupyter image: jerryjung/jupyter-notebook-gfs:latest volumeMounts: - mountPath: "/home/jupyter/work" name: ebs-volume
- 32. Kubernetes meets Hadoop • Persistent Volume Issue by permission • Shared Nothing Architecture - hadoop • DaemonSet or StatefulSet for i in 0 1; do kubectl exec yarn-nm-$i -- sh -c 'hostname'; done yarn-nm-0 yarn-nm-1
- 33. DEMO
- 34. Q&A
- 35. Thank you