• Introduction
  • 1.1. Lab Overview
  • Preparation
  • 2.1. Pre-Requisites
  • 2.2. Install Container Plugins
  • 2.3. Main command lines
  • 2.4. Get a cluster
  • Lab 1 - Deploy an app in a Kubernetes cluster
  • 3.1. View your cluster
  • 3.2. Kubernetes Dashboard
  • 3.3. Connect via CLI
  • 3.4. Get and run the app locally
  • 3.5. Build docker image
  • 3.6. Push docker image
  • 3.7. Deploy app
  • 3.8. Scale app
  • 3.9. Optional: Connect to a database
  • 3.10. Optional: Test the resiliency
  • 3.11. Clean up
  • Lab 2 - DevOps and Helm charts
  • 4.1. Deploy with Helm
  • 4.2. Deploy with Continuous Delivery
  • 4.3. Optional: Troubleshoot and Debug
  • Lab 3 - Monitor your cluster
  • 5.1. Cluster Logs
  • 5.2. Monitoring your cluster
  • Advanced
  • 6.1. Create a cluster with CLI
  • 6.2. Create a cluster in the Console
  • 6.3. Weavescope
  • 6.4. Provisioning with Terraform
  • 6.5. Controlling traffic with network policies
  • 6.6. Appendix
  • Resources
  • 7.1. Resources
  • Published with GitBook

Resources

Resources

For additional resources pay close attention to the following:

  • Running Kubernetes clusters with IBM Cloud Kubernetes Service
  • Kubernetes Service Swagger API
  • Bash script to tail Kubernetes logs from multiple pods at the same time
  • IBM Cloud CLI Plug-in Repository
  • How to deploy, manage, and secure your container-based workloads
  • Deploy MicroProfile based Java microservices on Kubernetes Cluster
  • Kubernetes volume plugin that enables Kubernetes pods to access IBM Cloud Object Storage buckets
  • Modernize JPetStore demo with IBM Cloud Kubernetes Service
  • Pod security policies in IBM Cloud Kubernetes Service
  • How Can I Isolate, do Maintenance and Debug an ALB/Ingress Controller

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