
Engage in hands-on Kubernetes training for DevOps, covering basic to advanced concepts through practical explanations. Join this journey to learn Kubernetes concepts in cloud and DevOps contexts.
Launch your first Kubernetes deployment unit by creating a pod that runs one container (often nginx) and shares network and storage, then test with port forwarding to localhost:8080.
Deploy a pod declaratively with a YAML file, using kubectl -f, configure an nginx container, test via port-forward, view logs, exec into the pod, and understand pod resilience limitations.
ReplicaSet maintains a desired number of pod replicas to ensure high availability, automatically recreating crashed pods, using labels and a pod template to select matching pods.
Explore how Kubernetes deployments perform rolling updates across pods to achieve zero downtime, manage replica sets and rollbacks with kubectl, and distinguish apply from create in real-world scenarios.
Understand why Kubernetes services offer a stable endpoint and name for inter-pod communication, even as pods and IPs change, and how they enable load balancing, high availability, and external exposure.
Explore Kubernetes service types with a focus on cluster IP, learning how a cluster IP service provides a stable internal endpoint and load balances across pods via labels and selectors.
Expose Kubernetes applications to the outside world with the node port service type, which opens a port on all cluster nodes in the 30000–32767 range and routes traffic to pods.
Learn how the Kubernetes service type load balancer enables external access by provisioning a cloud native load balancer on AWS, GCP, or Azure, routing traffic to the app port.
Understand the Kubernetes ExternalName service, a DNS lookup that creates no real service or load balancing. A pod connects to an external api like api.javahome.
Learn how manual and horizontal scaling works in Kubernetes, configure replicas and resources, enable the metrics server, and set horizontal pod autoscaler thresholds.
Deploys a Kubernetes app from scratch, creating deployment and service, and demonstrates horizontal pod autoscaling based on CPU utilization under load.
Explore how Kubernetes ingress and ingress controller create a single external endpoint to route HTTP traffic to Apple and Banana microservices via host and path rules.
Explore how the Kubernetes scheduler assigns pods to nodes using nodeName, nodeSelector, and node affinity, with mandatory and optional rules, and how to label nodes for precise scheduling.
Learn how Kubernetes empty directory ephemeral volumes enable fast in-pod data sharing between two containers, with data created at pod start and removed at pod stop.
Explore Kubernetes hostPath persistent volumes by mounting a host directory into an nginx pod, demonstrating data persistence across the pod lifecycle with a same node requirement.
Learn how persistent volumes (PV) offer durable storage inside a Kubernetes cluster, how PVCs bind to PVs, and how storage classes enable dynamic provisioning with CSI plugins.
Demonstrates dynamically provisioning a hostpath default storage class in minikube via a persistent volume claim and mounting it into an nginx pod, with file persistence on the host.
Explore how stateful set in Kubernetes deploys stateful applications that save data on local file systems, like databases and Jenkins, by giving stable network identities and persistent storage with replicas.
Deploy a three-replica MongoDB cluster on Kubernetes with a StatefulSet and headless service, ensuring per-pod volumes and data replication across the replica set.
Learn how Kubernetes service discovery provides pods a stable dns name and virtual ip as internal dns automatically registers each service, enabling name-based communication across namespaces.
Deploys an nginx pod behind a cluster IP service and tests cross-namespace service discovery with BusyBox, showing how to reach nginx-service.api.svc.cluster.local from another namespace.
Explore how Kubernetes probes monitor application health, using readiness and liveness checks to delay traffic for initializing apps, restart unresponsive pods, and keep services healthy.
Show how Kubernetes readiness probes gate traffic to pods using a Flask app health endpoint and startup delay, adding the pod to the service only after health checks pass.
Discover how Kubernetes liveness probes monitor pod health and restart unresponsive containers, demonstrated by a file-based health check that runs every five seconds and fails when the file is removed.
This course is designed to make Kubernetes simple, practical, and completely beginner-friendly, while also preparing you for real-world DevOps and cloud-native environments. Whether you are new to container orchestration, transitioning into DevOps, or aiming to build strong production-ready Kubernetes skills, this hands-on course will guide you step by step from fundamentals to real deployments.
You will begin with core Kubernetes concepts such as Pods, ReplicaSets, Deployments, and Services, explained in clear and straightforward terms. Every concept is immediately followed by hands-on demonstrations and labs, helping you understand not only what Kubernetes components are, but how and why they are used in real projects.
As you progress, you will move into real-world Kubernetes operations, including Rolling Updates, Rollbacks, application scaling, and effective workload management. You will also learn how to manage stateful workloads using StatefulSets, PersistentVolumes (PV), PersistentVolumeClaims (PVC), and essential Kubernetes storage concepts required for production environments.
A dedicated section focuses on configuration and security best practices, where you will learn how to manage application configuration using ConfigMaps and securely handle sensitive data using Kubernetes Secrets, following industry-recommended approaches.
The course then extends into modern DevOps workflows by introducing CI/CD and GitOps. You will build CI pipelines using GitHub Actions and deploy applications to Kubernetes using Argo CD, following GitOps best practices used by real engineering teams. You will also gain hands-on experience deploying Kubernetes workloads on AWS EKS, understanding how Kubernetes operates in real cloud environments.
In addition, you will learn how to expose and manage applications using Ingress Controllers, configure routing rules, and ensure reliable traffic flow across Kubernetes clusters.
To make you truly production-ready, the course includes practical Kubernetes troubleshooting, where you will learn how to debug failing Pods, analyze logs and events, diagnose deployment and service issues, and resolve common real-world problems faced by DevOps engineers.
By combining clear explanations, hands-on labs, CI/CD pipelines, GitOps workflows, security best practices, and troubleshooting scenarios, this course gives you the confidence to deploy, manage, and operate Kubernetes applications in production-like environments.
No prior Kubernetes experience is required—everything is taught from scratch with a strong focus on practical implementation.
By the end of this course, you will be able to build CI/CD pipelines, deploy applications using GitOps, manage configuration and secrets securely, troubleshoot Kubernetes issues, and confidently use Kubernetes in real projects—making you job-ready for DevOps roles.