Intermediate Track

Scaling your containers
- Getting ready
- Scale up and down manually with the kubectl scale command
- Horizontal Pod Autoscaler (HPA)
Updating live containers
- Deployment update strategy – rolling-update
- Rollback the update
- Deployment update strategy – recreate
Forwarding container ports
- Container-to-container communication
- Pod-to-Pod communication
  - Working with NetworkPolicy
- Pod-to-Service communication
- External-to-internal communication
  - Working with Ingress
Ensuring flexible usage of your containers
- Pod as DaemonSets - Running a stateful Pod - Pod recovery by DaemonSets - Pod recovery by StatefulSet
Submitting Jobs on Kubernetes
- Pod as a single Job
- Create a repeatable Job
- Create a parallel Job
- Schedule to run Job using CronJob
Working with configuration files
- YAML
- JSON
- Pod
- Deployment
- Service

Building High-Availability Clusters

Introduction
High-availability concepts
- Redundancy
- Hot swapping
- Leader election
- Smart load balancing
- Self-healing
Clustering etcd
- Static mechanism
- Discovery mechanism
- kubeadm
- kubespray
- kops
Building multiple masters
- Setting up the first master
- Setting up the other master with existing certifications
- Adding nodes in a HA cluster
High-availability best practices

Monitoring, Logging, and Troubleshooting

Configuring Kubernetes Security, Limits, and Accounts

Running Stateful Applications with Kubernetes

Handling Kubernetes Storage

Compose on Kubernetes

Compose on Kubernetes for Minikube

Kubernetes on Docker Desktop for Mac

Bootstrapping GKE Cluster using Docker Desktop for Mac