Understand the pain points involved in monitoring Kubernetes and the tools available to help to you.
Discover key details about Docker and Docker Compose as well as how to deploy a Python app to a GKE cluster.
Kubernetes secrets can simplify the deployment process. You can inject them in your app's execution environment or read them on the fly.
Set-up production grade Kubernetes logging for applications deployed in the cluster. We'll use Elasticsearch as the logging backend.
Use Prometheus to monitor Kubernetes by applying the four golden rules of observability.
Orchestrating containers on Docker requires a strong foundation in Kubernetes Networking. Learn the different kinds of Kubernetes networks.
Learn to use Terraform and create an infrastructure template for GKE clusters, then we'll look at the basics of managing the cluster.
Use Docker to containerize an application, then run it on development environments using Docker Compose. We'll use a Python API as our main app.