Kubernetes and bluemix
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This document outlines a meetup focused on Kubernetes and Bluemix Cloud, covering topics like the architecture and deployment of applications using Kubernetes. It highlights Kubernetes' features, including automated scheduling, self-healing capabilities, and its role in container orchestration. Additionally, it discusses the steps for setting up a Kubernetes cluster on Bluemix and emphasizes the importance of choosing the right solutions for container deployment.
Kubernetes and bluemix
- 1. Kubernetes and Bluemix Cloud Mumbai Meetup | 14th Oct 2017 | Mohan Pawar
- 2. Agenda ● Getting started with Kubernetes ○ Why k8s and its future ○ Container Orchestration ● K8s architecture ● Deploying apps into cluster using Bluemix Container Service(BCS) ● Picking the Right Solution
- 3. Containers are Future Deployment Units.
- 4. How to deploy containers ? 1. Manual Deployment : using ssh 2. Automated Deployment: Chef/Puppet/Ansible/Saltstack 3. Container Orchestration Tools: Docker Swarm/Apache Mesos/ Kubernetes/Nomad
- 5. Why K8s ? ● Engineering ○ You can only know where you’re going if you know where you’ve been ● Community ● Easier Container Deployment ● Infrastructure Cost Cons ● Risk of running latest features in production ● Difficulty understanding to new users ● Needs more documentation
- 6. Container Orchestration ● Single controller/management unit ● Scheduling ● Fault tolerant ● Scale on demand ● Optimal resources ● Service discovery ● Update/Rollback without any downtime
- 7. What is Kubernetes ? "Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications." From Borg to Kubernetes "Google's Borg system is a cluster manager that runs hundreds of thousands of jobs, from many thousands of different applications, across a number of clusters each with up to tens of thousands of machines."
- 8. K8s Features ● Automated Scheduling ● Self healing ● Horizontal Scaling ● Service discovery and Load balancing ● Secrets and Configuration Management ● Automated Rollouts and Rollbacks ● Storage orchestration ● Batch Execution
- 13. We must treat the datacenter itself as one massive warehouse-scale computer.
- 14. Kubernetes Key Concept Pod: Group of tightly coupled containers and volume Replication Controller: A loop that drives the current state to desired state Service: A set of running pods that work together Volumes: Pod level storage and configuration
- 15. Kubernetes components ● One or more Master Components - API Server, Scheduler, Controller manager, etcd(can be configured externally) ● One or more Worker Nodes - Container Runtime, kubelet, kubeproxy ● Distributed Key-Value store - etcd(based on Raft Consensus Algorithm)
- 17. Application Lifecycle with IBM BCS Step 1 - Acquire Step 2 - Build Step 3 - Deliver Step 4 - Run Step 5 - Maintain
- 20. Setting up K8s Cluster on Bluemix $ bx plugin list $ bx login $ bx target -o org_name -s space_name CREATING CLUSTER $ bx cs clusters USING CLI $ bx cs cluster-config cluster_name $ bx plugin update container-service -r Bluemix $ kubectl proxy
- 21. Demo ● Deploying apps into cluster using Bluemix Container Service(BCS)
- 22. ColorApp Demo
- 24. Picking the Right Solution
- 25. Picking the Right Solution
- 26. Conclusion ● Kubernetes allows you to deploy and manage application running on multiple host using Docker. ● Container, Micro-service, Kubernetes are long way to go. ● Bluemix Container Service automate the underlying cluster creation and monitoring task. ● Hybrid cloud strategy is the key aspect kubernetes.
- 27. Q/A
- 28. Thank you /in/mohan08p @mohan08pAsk any further questions.