Configuring Kubernetes for Reliability with LitmusChaos

Name: Configuring Kubernetes for Reliability with LitmusChaos
Rating: 4.3 (53 reviews)

Build Kubernetes-native Resilient Microservices and Reliability Pipelines (LitmusChaos, Argo Workflows, Terraform, Helm)

Created byMichael K, Karthik S

Last updated 8/2021

English

What you'll learn

Build Reliability Pipelines with CNCF LitmusChaos and Argo Workflows to continuously ensure reliability of your systems
Configure Kubernetes for Resilient Microservices with Cluster Autoscaler, Node Termination Handler, Descheduler and Overprovisioning
Deploy Amazon EKS clusters with Microservices in AWS Cloud using Terraform and Helm 3
Leverage AWS Spot instances which are times cheaper than regular EC2 ones, while achieving zero-downtime

Course content

16 sections • 101 lectures • 5h 14m total length

Authors and Course Goals2:17
Configure Kubernetes for resilient microservices and build reliability pipelines with litmuschaos. Deploy Amazon EKS clusters with Terraform and Helm 3, using autoscaling and spot instances for zero-downtime workloads.
Tech Stack9:19
Tech Stack – Article4:39
Applicability of technologies used in this course

Tip: Avoid AWS Costs using Recorded Labs1:00
Intro1:08
Intro – Article0:47
AWS User Credentials and Resources Tracking Setup1:37
Install Docker for "Tools" Container – Article0:34
Lab: Verify Terraform works with AWS6:46
Verify Terraform works with AWS – Resources0:01
Summary0:30
Configure AWS credentials and prepare the Tools container with Docker, create the kube-course tag-based resource group for emergencies, then deploy the Kubernetes cluster and take the Amazon EKS fundamentals quiz.
Summary – Article0:19

Intro0:44
Intro – Article0:29
Basic Microservice: Helm 3 and Spring Boot3:11
Explore a basic spring boot microservice, packaged in an Alpine Linux based Amazon Corretto docker container, using helm library charts to illustrate reliability testing.
Basic Microservice: Helm 3 and Spring Boot – Article2:02
LitmusChaos, Argo Workflows and Jenkins8:51
LitmusChaos, Argo Workflows and Jenkins – Article5:06
Lab Intro0:26
Lab: Infrastructure details, Tools and Microservice chart deployment20:53
Tools and Microservice chart deployment – Resources0:01
LitmusChaos and Tools for Reliability, Basic Microservice
Summary0:40
Summary – Article0:26

Intro4:49
Intro – Article2:54
Lab: Horizontal Pod Autoscaler, bind CPU usage to replicas count7:45
Horizontal Pod Autoscaler, bind CPU usage to replicas count – Resources0:01
Lab: Tuning Health Checks, CPU and Replicas Count3:18
Tuning Health Checks, CPU and Replicas Count – Resources0:01
Summary0:52
Explore horizontal pod autoscaler and the pod-cpu-hog LitmusChaos experiment that stress cpu on microservice pods, using cmdProbe and k8sProbe to observe capacity limits and pending pods.
Summary – Article0:34

Requirements

Basic knowledge of Kubernetes, Terraform, Helm, Docker, and AWS (scope of introductory tutorials online)

Description

This course is for DevOps engineers and SRE-s who want to configure Kubernetes for RELIABILITY. In particular, for highly Resilient Microservices and for Reliability Pipelines in their CI/CD.

The primary technologies used in the course are LitmusChaos, Argo Workflows, Terraform, Helm and Jenkins automation server.

This course consists of guided labs on Amazon EKS with explanations and corresponding quizzes:

An introductory case study demonstrating a simple resilience improvement: add more microservice replicas, verify with LitmusChaos
Numerous advanced case studies, for example about achieving zero-downtime of microservices on cost-efficient EC2 Spot Instances

Resources included

All the Reliability Pipelines and Experiments (LitmusChaos, Argo Workflows)
Full Terraform and Helm definitions of the Amazon EKS cluster with system Charts and Microservices
Universal "DevOps Tools" Docker container with Terraform, Helm, kubectl, AWS CLI, etc.

At the end of our course, students will be able to:

Build Reliability Pipelines with CNCF LitmusChaos and Argo Workflows to continuously ensure reliability of their systems
Configure Kubernetes for Resilient Microservices with Cluster Autoscaler, Node Termination Handler, Descheduler and Overprovisioning
Deploy Amazon EKS clusters with Microservices in AWS Cloud using Terraform and Helm 3
Leverage AWS Spot instances which are times cheaper than regular EC2 ones, while achieving zero-downtime

Course prerequisites

Students are expected to have some basic knowledge in Kubernetes, Terraform, Helm, Docker, and AWS before starting this course. They are welcome to complete corresponding introductory tutorials online on their own, if some of the listed technologies are completely new for them.

Who this course is for:

DevOps engineers and SRE-s who want to configure Kubernetes for RELIABILITY. In particular, for highly Resilient Microservices and for Reliability Pipelines in their CI/CD.

Configuring Kubernetes for Reliability with LitmusChaos

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 16min

Setup Client Environment9 lectures • 13min

Deploy Amazon EKS with Terraform6 lectures • 7min

Prepare EKS to run Reliability Pipelines, Basic Microservice11 lectures • 43min

First Reliability Pipeline with LitmusChaos6 lectures • 18min

We are doing iterative Chaos Engineering!6 lectures • 10min

Microservice Recovery after EC2 termination: test with LitmusChaos8 lectures • 21min

Descheduler and Pods placement skew identification8 lectures • 9min

Horizontal Pod Autoscaler: bind CPU use to replicas count, test with LitmusChaos8 lectures • 20min

Cluster Autoscaler: manage Worker Nodes count, test with Reliability Pipelines8 lectures • 31min

Requirements

Description

Who this course is for: