Kubernetes Testing using Python

Kubernetes Testing Using Python

Duration3 Months

Mode of TrainingOnline

You may also see course CurriculumTopics Covered

Docker Deep Dive

Container tools

lxc, Docker,containerd, etc.

Underlying technologies of Docker

Namespaces like pid,net,IPC,mnt,uts
cgroups
UFS (Union File System)
container format like libcontainer,BSD jails etc

Docker architecture

Docker daemon
Docker client
Docker registry
Docker objects
Images
Containers
Networking

Docker Engine Installation

Docker CE on Ubuntu and CentOS

Basic introduction to Docker Engine

Datapath
version check
default locations
Commands execution

Images and container management

Docker image pull/push
Image layers
container creation
Sample application deployment like webserver
Basic things that to be considered while working with images and containers

Docker networking

Types of network
Host
Bridge
Null
Overlay
macvlan

Docker storage

Basic understanding of ephemeral and persistent storage
Types of volume mounts
Bind mount
Volume mount
tempfs mount

Backup and restore of Images, containers, and Docker/Application data
Building custom images

Develop custom image through Dockerfile
Convert container into Image

Registry management

Docker Hub
Gitlab registry
Local registry

Securing Docker

Ensure Docker communication through TLS
Firewall ports
Communication to Docker through UNIX socket and TCP protocol

Docker compose, Docker Machine and Docker swarm

Building compose file for orchestration of application deployment
Docker machine management
Deployment and understanding of Docker Swarm cluster
Difference between Docker swarm and Kubernetes

Task

Deployment of application like Nginx, MariaDB, and Jenkins
Establish remote connection of Docker Engine through TLS
Custom Jenkins Dockerfile with preinstalled plugins
Building a custom Ubuntu Image with keys and password

Kubernetes Deep Dive

kubernetes components and responsibility controller nodes
Deployment of Kubernetes cluster using microk8s(ubuntu),minikube,kubeadm Three nodes (1 for controller and 2 for compute nodes)
POD object creation using a single container and multi-container
Replication Controller object (RC)
ReplicaSet object (RS)
Deployment object (deploy)
Daemonset object (DS)
StatefulSet object (sts)
Volumes
PersistentVolume, PersistantVolumeClaim and StorageClass (PV and PVC)
Services (svc)
Secrets and configmap (secret, cm)
Ingress (ing)
Horizontal POD Autoscaling (HPA)
Scheduling and probes
Jobs and CronJobs
Calico networking
Authentication and authorization
Dashboard
Task

Python Core & Advanced

Introduction to Python programming
Keywords, Identifiers, Data types and Expression
Operators
Decision making and branching
Decision making and looping
String Manipulation
Basic Data Structures – Lists, Tuples, Dictionaries, Sets
List and Dictionary comprehension
Mixed Structures
Functions
Decorators
Lambda Functions
Modules
Input-Output-File Management
Exception Handling
Class and object
Inheritance
Overloading and Overriding
Data hiding
Multiprocessing
Regular expressions

Test Automation Scenarios using Kubernetes

Install and configure python kubernetes client on Linux

setuptools (source code)
pip (PyPi)

Deploy sample web application using python kubernetes api endpoints

Create resource for application
Deployment
Configmap
Servicing
secret

Update resources
Delete application

kubernetes End-to-End(E2E scenario) testing for everyone

Implement a test suite
Bringing up test cluster like sonobouy
Running E2E test suite againt k8s cluster

Run unit test against kubernetes cluster using python client

Unit test to run against desired and expected values
GenERATE final report through html page/Excel (html-test runner)

Other tools which enhances python kubernetes client

Sonobouy
kubetest