Kubernetes Essential Training: Application Development

Course details

Take your Kubernetes knowledge from theory to practice. Learn how to use Kubernetes to develop and run real-world applications. Instructor Matt Turner starts by showing you how to run local clusters, containers, and pods; execute commands; and view activity from the command line as well as the Kubernetes dashboard. Next, discover how to orchestrate practical workloads, including batch workloads with jobs and cron jobs. Matt then shows how to make Kubernetes smarter and safer using the built-in resource management, scheduling, and security tools. He also explores some advanced deployment patterns using namespaces, sidecars, and extensions like operators. Plus, discover tools and techniques to take your Kubernetes development further, such as manifest file generation with Helm, advanced debugging with kubectl commands, and faster and more frictionless deployments with Telepresence.

Topics include:
Running a local cluster
Running containers
Viewing logs
Remotely executing commands
Orchestrating real-world workloads
Batch processing with jobs and cron jobs
Managing resource usage
Keeping containers secure
Advanced deployment patterns
Analyzing traffic
Extending Kubernetes
DRY deployment and debugging tools

Concepts

0. Introduction

01 - Kubernetes for developers
02 - Getting started with Kubernetes

1. Getting Started with Your Cluster

03 - Running a local Kubernetes cluster with Minikube
04 - Running your first container
05 - Serving from your Pod
06 - Exposing your Pod to the outside world
07 - Handling ingress in Kubenetes

2. Exploring the Cluster

08 - Taking a look around with kubectl
09 - Viewing logs for pods
10 - Remotely executing commands
11 - A web view of the cluster with the Kubernetes Dashboard

3. Real-World Workloads

12 - Orchestrating real-world workloads with deployments and StatefulSets
13 - Safe upgrades with rolling updates and rollbacks
14 - Batch processing with jobs and CronJobs

4. Teaching K8s about Your Service

15 - Ensuring availability with liveness and readiness probes
16 - Managing resource usage with requests and limits
17 - The scheduler and influencing container placement
18 - Node affinity and anti-affinity
19 - The Horizontal Pod Autoscaler (HPA)
20 - Providing configuration with ConfigMaps
21 - Supplying sensitive data with Secrets
22 - Keeping secure with network policies
23 - Role-based access control in Kubernetes
24 - Working with RBAC

5. Advanced Deployment Patterns

25 - Namespaces in Kubernetes
26 - Working with namespaces
27 - Adding functionality with sidecars
28 - Adding a service mesh using sidecars
29 - Analyzing traffic with Linkerd
30 - Extending Kubernetes with operators and Custom Resource Definitions

6. Development Tools

31 - Tools for DRY deployments - Motivation
32 - Tools for DRY deployments - Helm
33 - Tools for DRY deployments - Kustomize
34 - Tools for DRY deployments - Advice
35 - Advanced Debugging - kubectl debug
36 - Advanced Debugging - nixery.dev
37 - Advanced Debugging - kubectl sniff
38 - Just like being there - skaffold
39 - Just like being there - telepresence
40 - Running your clusters

Conclusion

41 - Where to find additional information