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The Kubernetes Learning Roadmap is constantly updated with new content, so you can be sure that you're getting the latest and most up-to-date information available.
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- Kubernetes Learning Roadmap
- Kubernetes Certification Coupon
- Kubernetes Learning Prerequisites
- Learn Kubernetes Architecture
- $1000+ Free Cloud Credits to Launch Clusters
- Learn Kubernetes Cluster Setup & Administration
- Understand KubeConfig File
- Understand Kubernetes Objects And Resources
- Learn About the Object YAML Structure
- Learn About Pod & Associated Resources
- Learn About Pod Dependent Objects
- Deploy End to End Application on Kubernetes
- Learn About Securing Kubernetes Cluster
- Learn About Kubernetes Operator Pattern
- Learn Important Kubernetes Configurations
- Learn Kubernetes Best Practices
- Learn Kubernetes Logging & Monitoring
- Learn Kubernetes Production Best Practices
- Real-World Kubernetes Case Studies
- Kubernetes Failures/Learnings
- Learn Kubernetes Templating Tools
- Kubernetes Deployment Tools (GitOps Based)
If you want to learn Kubernetes, it's important to start with the basics. That means brushing up on your IT fundamentals first because Kubernetes builds on those. Once you have a good grasp of the basics, learning Kubernetes can be fun and easy. So don't skip the fundamentals β take some time to study them before diving into Kubernetes!
- Learn Container conceptsComplete Guide
- Learn Container Management Tool - Docker Complete Guide
- Understand Distributed system Blog
- Understand Authentication & Authorization Blog
- Learn Basics of Key Value StoreBlog
- Learn the basics of REST APIBlog
- Learn YAMLBlog
- Understand Service Discovery Blog
- Learn Networking Basics
- L4 & L7 Layers (OSI Layers)Blog
- SSL/TLSBlog
- Network Proxy BasicsBlog
- DNSBlog
- IPTablesVideo
- Software Defined Networking (SDN)Blog
The following image shows the high-level kubernetes architecture and how external services connect to the cluster.
Refer to the following documents to learn the Kubernetes Architecture.
Launching large clusters in the cloud can be costly. So utilize the available cloud credits to practice deploying clusters as if you work on a real project. All cloud platforms offer managed Kubernetes services.
- GKE -Google Cloud $300 free creditsCloud Platform
- EKS - AWS $300 free POC creditsCloud Platform
- DO Kubernetes - Digital Ocean β $200 free creditsCloud Platform
- Linode Kubernetes Engine - Linode Cloud β $100 Free creditsCloud Platform
- Vultr Kubernetes Engine - Vultr Cloud - $250 Free CreditsCloud Platform
- AKS - Azure Cloud Hosting - $200 Free CreditsCloud Platform
As DevOps engineers, gaining a thorough understanding of each component and cluster configuration is crucial to work in production environments. Though there are various methods for deploying a Kubernetes cluster, it is advisable to learn how to set up multi-node clusters from scratch. This allows you to gain knowledge on concepts such as High Availability, Scaling, and Networking and simulates a real-world project.
Additionally, mastering the configuration of multi-node clusters can be beneficial for interviews and building confidence in your abilities. The following are recommended ways to establish a Kubernetes cluster.
- Kubernetes the Hard WayGithub
- Kubeadm Cluster SetupBlog
- Minikube Development Cluster Blog
- Kind Development ClusterOfficial Documentation
- Vagrant Automated ClusterGithub
Following are some of the important cluster administrative tasks
- Deploy Kubernetes DashboardOfficial Doc
- Important Kubernetes Cluster ConfigurationsBlog
- Kubeadm Cluster UpgradeBlog
- etcd backup using etcdctlBlog
- Run CIS benchmarks using kube-benchBlog
As a DevOps engineer, it is important to become familiar with the Kubeconfig file. It is crucial for tasks such as setting up cluster authentication for CI/CD systems, providing cluster access to developers, and more.
A Kubeconfig file is a YAML file that stores information and credentials for connecting to a Kubernetes cluster. It is used by command-line tools such as kubectl and other client libraries to authenticate with the cluster and interact with its resources.
The Kubeconfig file can be used to store information for multiple clusters and users, allowing users to switch between different clusters and contexts easily. It is an important tool for managing access to and interacting with Kubernetes clusters.
Refer the following document to learn about Kubeconfig File in detail.
In Kubernetes, an object is a persisted entity in the cluster that represents a desired state of the system. It is created and managed by the Kubernetes API server and is stored in the etcd key-value store. Examples of Kubernetes objects include pods, services, and deployments.
Here is an example of a Pod Object
apiVersion: v1 kind: Pod metadata: name: nginx spec: containers: - name: nginx image: nginx:1.14.2 ports: - containerPort: 80
A resource is a representation of a Kubernetes object that is exposed by the Kubernetes API. It is a way for clients to interact with and manipulate objects in the cluster.
A resource refers to a specific API URL used to access an object. Resources are typically accessed through the Kubernetes API using HTTP verbs such as GET, POST, and DELETE. For instance, the /api/v1/pods
resource can be used to retrieve a list of v1 Pod objects. Additionally, an individual v1 Pod object can be obtained from the /api/v1/namespaces/namespace-name/pods/pod-name
resource.
Detailed Blog: Kubernetes Objects & Resources Explained
Every object in Kubernetes is represented/created using a YAML file. Kubernetes has many native objects (20+), however, every object YAML follows a hierarchical structure as shown below.
apiVersion: <API version>
kind: <Kind of object>
metadata:
name: <Name of the object>
spec:
<Specification of the object>>
Here is what each section means.
- apiVersion: Specifies the Kubernetes API version used for the object.
- kind: Defines the type of Kubernetes object being created or modified.
- metadata: Contains information about the object.
- spec: Defines the desired state of the object, including its configuration and behavior. Under spec, there could be many subfields depending upon the object type.
The structure remains the same for all native Kubernetes objects. While learning about each object, you can check the hierarchy, and you will be able to relate.
<--In Progress-->
<--In Progress-->
<--In Progress-->
<--In Progress-->
<--In Progress-->
<--In Progress-->
<--In Progress-->
<--In Progress-->
Helm and Kustomize are both tools that are used to manage Kubernetes manifests. They are similar in many ways but have some key differences.
Helm is a package manager for Kubernetes that allows users to easily install, manage, and upgrade applications on a Kubernetes cluster. It uses a concept called "charts" which are pre-configured sets of Kubernetes resources that can be easily deployed, upgraded, and rolled back.
Kustomize, on the other hand, is a tool that allows users to customize and configure existing Kubernetes manifests. It uses a concept called "patches" which can be applied to existing manifests to customize them for different environments and use cases. Unlike Helm, Kustomize does not include built-in support for versioning and rollback, and does not have a concept of "packages" or "repositories".
- Learn to Create Helm Chart From ScratchHands-On Blog
- Getting started with KuztomizeHands-On Blog
GitOps is a technical practice that uses Git as a single source of truth for declarative infrastructure and application code.
- Guide to GitOpsOfficial Doc
Some popular GitOps-based tools for deploying applications to Kubernetes clusters are:
- Argo CDOfficial Doc
- Argo RolloutsOfficial Doc
- FluxCDOfficial Doc
- JenkinsXOfficial Doc
- Production Readiness ChecklistBlog
- Learn About 12 Factor Apps Official Guide
- Scheduling 300,000 Kubernetes Pods in Production Daily Video
- Recycling Kubernetes Nodes - YelpBlog
If you do not have real-world Kubernetes experience, it is better to read case studies of other companies using kubernetes.