Week 3 Lecture 6 Services

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 youll learn:- The skills to be learnt in this course are but not limited to:- a Install and configure Kubernetes on your laptopdesktop 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 NodePod affinity anti-affinity e Use StatefulSets to deploy a Cassandra cluster on Kubernetes f Add users set quotaslimits do node maintenance setup monitoring g Use Volumes to provide persistence to your containers hBe 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 6 Services Edutech Academy 2022,

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