Week 3 Lecture 4 Deployments

Learn DevOps Engineering with Kubernetes and Docker:

Course:- Learn DevOps Engineering with Kubernetes and Docker

Welcome to this wonderful course, Docker.
Docker is a software platform for building applications based on containers small and lightweight execution environments that make shared use of the operating system kernel but otherwise run in isolation from one another. Docker packages software into standardized units called containers that have everything the software needs to run including libraries, system tools, code, and runtime. Containers simplify the delivery of distributed applications and have become increasingly popular as organizations shift to cloud-native development and hybrid multi-cloud environments.

Today, Docker, and its open-source father now named Moby, is bigger than ever. According to Docker, over 3.5 million applications have been placed in containers using Docker technology and over 37 billion containerized applications have been downloaded.

Prerequisite for this course:

Requirements:-
i. Basic understanding of terminal.
ii. Usage of command line.

In this course, you will cover the following topics:

i. Introduction to DevOps
ii. Different stages in DevOps
iii. Docker Architecture
iv. Images and containers
v. Introduction to Docker file and volume
vi. Introduction to Orchestration and AWS ECS
vii. Introduction to Kubernetes
viii. Introduction to Docker swarm.

Who this course is for:
Any Student who wants to work as Software developers.
Anyone who want to be a Sysadmins.
Cloud Infrastructure Engineers.
Anyone working as Cloud Developer.

What you'll learn:-
The skills to be learnt in this course are but not limited to:-
a) Install and configure Kubernetes (on your laptop/desktop or production grade cluster on AWS)
b) Use Docker Client (with kubernetes), kubeadm, kops, or minikube to setup your cluster
c) Be able to run stateless and stateful applications on Kubernetes
d) Use Healthchecks, Secrets, ConfigMaps, placement strategies using Node/Pod affinity / anti-affinity
e) Use StatefulSets to deploy a Cassandra cluster on Kubernetes
f) Add users, set quotas/limits, do node maintenance, setup monitoring
g) Use Volumes to provide persistence to your containers
h)Be able to scale your apps using metrics
i) Package applications with Helm and write your own Helm charts for your applications
j) Automatically build and deploy your own Helm Charts using Jenkins
k) Install and use kubeless to run functions (Serverless) on Kubernetes
l) Install and use Istio to deploy a service mesh on Kubernetes

Keep learning
Week 3
Lecture 4
Deployments

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