Kubernetes Cookbook. Kirill Kazakov

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      – Automating Deployment and Scaling

      Kubernetes automates the deployment, scaling, and management of containerized applications. It ensures that the desired state specified by the user is maintained, handling the scheduling and deployment of containers on available nodes, and scaling them up or down based on the demand.

      – Load Balancing and Service Discovery

      Kubernetes provides built-in solutions for load balancing and service discovery. It can automatically assign IP addresses to containers and a single DNS name for a set of containers, and can load-balance the traffic between them, improving application accessibility and performance.

      – Health Monitoring and Self-healing

      Kubernetes regularly checks the health of nodes and containers and replaces containers that fail, kill those that don’t respond to user-defined health checks, and doesn’t advertise them to clients until they are ready to serve.

      – Automated Rollouts and Rollbacks

      Kubernetes enables you to describe the desired state for your deployed containers using deployments and automatically changes the actual state to the desired state at a controlled rate. This means you can easily and safely roll out new code and configuration changes. If something goes wrong, Kubernetes can rollback the change for you.

      – Secret and Configuration Management

      Kubernetes allows you to store and manage sensitive information such as passwords, OAuth tokens, and SSH keys using Kubernetes secrets. You can deploy and update secrets and application configuration without rebuilding your container images and without exposing secrets in your stack configuration.

      – Storage Orchestration

      Kubernetes allows you to automatically mount a storage system of your choice, whether from local storage, a public cloud provider, or a network storage system like NFS, iSCSI, etc.

      – Resource Management

      Kubernetes enables you to allocate specific amounts of CPU and memory (RAM) for each container. It can also limit the resource consumption for a namespace, thus ensuring that one part of your cluster doesn’t monopolize all available resources.

      – In-depth exploration of containerization with Docker, Podman, and Colima

      – Steps for effective application containerization

      – Introduction to Kubernetes and its role in orchestration

      – The deployment of applications through a first cluster was created with Minikube

      – Best practices and architectural considerations for migrating projects to Kubernetes

      – Core components of Kubernetes architecture

      – Fundamental concepts such as pods, nodes, and clusters

      – Overview of Kubernetes interfaces, including CNI, CSI, and CRI

      – Insights into command-line tools and plugins for efficient cluster management

      – Grasp the distinctions between Docker and Kubernetes containers.

      – Master effective project migration to Kubernetes.

      – Understand the fundamental architecture of Kubernetes.

      – Explore the Kubernetes ecosystem and interfaces.

      – Develop proficiency in managing Kubernetes using command-line tools.

      – Wrap Your Application into a Container

      – Deploying Your First Application to Kubernetes

      – Use Podman for Kubernetes Migration

      – Lightweight Distributions: Setting Up k3s and microk8s

      – Enabling Calico CNI in Minikube and Exploring Its Features

      – Enhancing Your CLI Cluster Management with Krew: kubectx, kubens, kubetail, kubectl-tree, and kubecolor