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Week 4: Taking deep dive

Goals of the week
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 - Understand the container orchestration  
 - Learn Kubernetes bacis concepts and architecture
 - Container Orchestration with kubernetes
 - Deep diving kubernetes

Container orchestration is the process of managing and coordinating the deployment, scaling, and operation of containerized applications in a cluster environment. In a DevOps context, container orchestration is used to automate the deployment and management of applications, making it easy to scale, update, and rollback changes.

There are several open-source and commercial container orchestration tools available such as:

  1. Kubernetes: Kubernetes is an open-source container orchestration system that was originally developed by Google. It is widely used in production environments and is supported by most major cloud providers.
  2. Docker Swarm: Docker Swarm is a native container orchestration system that is included with the Docker platform. It is a lightweight and easy-to-use tool that is well suited for small to medium-sized deployments.
  3. Apache Mesos: Apache Mesos is a open-source cluster manager that can be used to orchestrate containers, as well as other types of workloads.
  4. Amazon Elastic Container Service (ECS): ECS is a container orchestration service provided by Amazon Web Services (AWS). It is tightly integrated with other AWS services and is well suited for deployments on the AWS platform.
  5. Azure Container Service (AKS): AKS is a container orchestration service provided by Microsoft Azure. It is tightly integrated with other Azure services and is well suited for deployments on the Azure platform.
  6. Google Kubernetes Engine (GKE): GKE is a container orchestration service provided by Google Cloud Platform (GCP). It is tightly integrated with other GCP services and is well suited for deployments on the GCP platform.

Kubernetes​

Kubernetes is an open-source container orchestration system that is often used in DevOps to manage and scale containerized applications. Kubernetes provides a powerful and flexible platform for deploying, scaling, and managing containerized applications in a cluster environment.
Start by learning the basics of Kubernetes, including its architecture, key concepts, and core components. This can be done by reading the Kubernetes documentation and experimenting with a local installation of Minikube.

Course: Basic: Getting started with Kubernetes, K8s in 5 minutes | Pluralsight | Basic: Kubernetes for the Absolute Beginners | KodeKloud.
Course expectation: Learn K8s Concepts.
Estimated time to complete this course: 5 days.

  • Install Kubernetes: The first step is to install Kubernetes on your system. You can install Kubernetes on your local machine using tools like Minikube or install it on a cloud provider like AWS, GCP or Azure.
  • Learn: The basics of Kubernetes: Once you have Kubernetes installed, you can start learning the basics of Kubernetes by understanding its core concepts such as Pods, Replication Controllers, Services, and Volumes.
  • Learn: How to use Kubernetes manifests: Kubernetes manifests are used to define the desired state of a Kubernetes cluster. Learn how to use Kubernetes manifests to define and deploy applications.
  • Learn: How to use kubectl: kubectl is the command line interface for interacting with a Kubernetes cluster. Learn how to use kubectl to deploy, scale, and manage applications on a Kubernetes cluster.
  • Learn: How to create and manage Kubernetes resources, such as pods, services, and deployments, using the Kubernetes command-line interface (kubectl) and YAML files.
  • Learn: How to use Kubernetes to deploy and manage containerized applications. This includes understanding how to create and manage Docker images, and how to use Kubernetes to deploy, scale, and update applications.
  • Learn: How to use Kubernetes to manage configuration and secrets. Understand how to use ConfigMap and Secrets to manage configuration and sensitive data, and how to use them in conjunction with Kubernetes resources.
  • Learn: How to use Kubernetes to manage storage and data persistence. Understand how to use Persistent Volume and Persistent Volume Claim to manage storage and data persistence.
  • Learn: How to use Kubernetes to manage network and security. Understand how to use Kubernetes network policies, services, and ingress to manage network and security.
  • Learn: How to use Kubernetes to perform operational tasks, such as scaling, updating, rolling back, and troubleshooting. Learn how to use tools like Kubernetes Dashboard and Prometheus to monitor and manage your cluster.
  • Learn: How to use Kubernetes in a production environment. Understand how to use Kubernetes in a production environment, including creating and managing clusters, performing rolling updates, and scaling up and down.
  • Learn: How to use Kubernetes in a continuous integration/continuous delivery pipeline: Learn how to use Kubernetes in a continuous integration/continuous delivery pipeline, including how to build and deploy applications.
  • Task: Deploy a single container: Deploy a single container on a Kubernetes cluster using a Pod and a ReplicationController.
  • Task: Deploy a multi-container application: Learn how to deploy a multi-container application on a Kubernetes cluster using a Pod and a ReplicationController.
  • Task: Expose a service: To expose a service on a Kubernetes cluster using a Service.
  • Task: Scale a deployment: To scale a deployment on a Kubernetes cluster using a ReplicationController.
  • Task: Use ConfigMaps and Secrets: To use ConfigMaps and Secrets to manage configuration and secrets in a Kubernetes cluster.
  • Task: Use Persistent Volumes: To use Persistent Volumes to persist data in a Kubernetes cluster.
  • Task: Use Helm: Use Helm to manage and deploy applications on a Kubernetes cluster.