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Kubernetes: Deploy, Secure & Scale on Azure AKS [2026]

Name: Kubernetes: Deploy, Secure & Scale on Azure AKS [2026]
Rating: 5.0 (8 reviews)

Master enterprise K8s: Blue-Green/Canary deployments, StatefulSets, RBAC, HPA, monitoring & Azure AKS

Created bySandeep Soni

Last updated 6/2026

English

English [Auto],

What you'll learn

Configure and manage Kubernetes clusters using kubectl and YAML-based declarative configurations for enterprise production workflows
Implement production deployment strategies including rolling updates, rollbacks, Blue-Green deployments, and Canary releases for zero-downtime delivery
Design and configure Ingress controllers for production traffic routing, path-based rules, and SSL termination in Kubernetes environments
Manage application configuration and sensitive data using ConfigMaps and Secrets with secure injection patterns for enterprise workloads
Architect Kubernetes resource organisation using namespaces, labels, API resources, and resource quotas for multi-team environments
Implement persistent storage using Persistent Volumes, Persistent Volume Claims, dynamic provisioning, and Azure File Share integration
Deploy and manage stateful workloads using StatefulSets with stable network identities and ordered scaling
Automate batch processing, scheduled tasks, and node-level operations using Kubernetes Jobs, CronJobs, and DaemonSets
Configure production-grade reliability using Horizontal Pod Autoscaler (HPA), CPU/memory resource limits, and liveness and readiness probes
Secure Kubernetes workloads using RBAC role assignments, service accounts, and security contexts for enterprise compliance requirements
Implement cluster monitoring and logging to collect logs, analyse events, and track metrics for operational troubleshooting in production environments
Create, configure, and manage Azure Kubernetes Service (AKS) clusters using Azure CLI and Azure Portal for enterprise cloud operations
Deploy a complete eCommerce application end-to-end on Kubernetes applying production deployment, security, storage, and scaling patterns

Course content

15 sections • 51 lectures • 20h 53m total length

Introduction to Kubernetes30:58
Kubernetes is a container orchestration platform that manages deployment, scaling, and lifecycle of containerized applications in a cluster, with rolling updates, auto scaling, service discovery, and self-healing.
Quiz
Kubernetes Architecture23:08
Explore how the Kubernetes ecosystem coordinates master and worker nodes, API server, etcd, scheduler, controllers, and kubelet to deploy and manage pods and containers.
Quiz
Overview of Kubernetes Objects44:50
Explore Kubernetes objects, from pods and containers to controllers (replication controller, replica set, deployment, stateful set, daemon set) and services, ingress, storage, config maps, secrets, and kubectl workflows.
Quiz

Kubecti Tools and Pod Creation28:14
Learn to create and manage pods with kubectl, run nginx pods, and inspect status with describe and logs. Access containers with exec, test pod-to-pod communication, and use port forwarding.
Quiz
Using YAML and Declarative Commands30:56
Explore declarative yaml workflows for Kubernetes, replacing imperative kubectl commands with apply in ci-cd pipelines, using apiVersion, kind, metadata, spec, and labels.
Quiz
Additional Kubecti Commands17:05
Master kubectl create, edit, and replace, compare them with apply and declarative yaml, and learn practical, hands-on commands for exam readiness (CKAD, CKA) and production efficiency.
Quiz
Labels and Annotations19:05
Learn how labels and label selectors group Kubernetes objects and enable filtering, while annotations provide tagging metadata; manage, update, and remove labels using kubectl.
Quiz
Kubernetes Namespaces22:37
Explain how Kubernetes namespaces create isolated, secure boundaries within a cluster, enabling per-namespace RBAC and resource limits while supporting multi-environment deployments.
Quiz
API Resources11:21
Explore how kubectl translates commands into REST API calls to the Kubernetes API server, and learn about core and group resources, namespaces, and versioned API paths.
Quiz

Working with Kubernetes Objects13:35
Explore how Kubernetes moves from obsolete replication controller to replica set and deployment, learning to maintain the desired state through labels, selectors, and scalable pod replication.
Quiz
ReplicaSet and Deployment17:09
Explain replica set and replication controller differences, teach match labels and match expressions in selectors, and show deployment automates rolling updates by replacing pods with new image versions.
Quiz
Deployment Rollout Undo and Rolling Update31:57
Explore deployment rollout, history, and undo in Kubernetes, using annotations to track versions. Learn rolling update versus recreate, and tune max surge and max unavailable for smooth rollouts.
Quiz

Cluster IP Service35:34
Learn how cluster IP services expose microservices behind pods, route requests via DNS and endpoints, and map ports from service to container while keeping pod changes transparent.
Quiz
NodePort LoadBalancer and ExternalName Services35:26
Explore node port, load balancer, and external name Kubernetes services, including how node port exposes on a static port and load balancer provides a public IP.
Quiz

Canary Deployment18:40
Use canary deployment to gradually roll out a new version in production to a small subset of users, monitor feedback, and compare with blue-green methods using the same URL.
Quiz
Kubernetes Ingress.44:11
Explore how ingress controllers route external http and https traffic into a Kubernetes cluster using domain and path rules, with tls termination at the edge.
Quiz
Blue Green Deployment15:58
Demonstrates blue-green deployment in Kubernetes: run a production blue deployment, test a green version in production via a separate service, and switch traffic by re-labeling the service.
Quiz

Working with ConfigMap34:42
Explore using config maps to pass environment-specific configuration to Kubernetes pods, including creating key-value pairs, referencing them by env or keyref, and loading from files across namespaces.
Quiz
Generic Secret14:09
Discover how Kubernetes generic secrets protect sensitive data like passwords and keys by storing base64-encoded values, restricting access to privileged users, and loading secrets into pods via environment variables.
Quiz
Docker Registry Secret16:24
Discover how to pull private images in Kubernetes by creating a docker registry secret, attaching it to the pod spec, and using the docker config json credentials.
Quiz

Empty Directory Volume24:44
Learn how empty directory volumes in Kubernetes provide a shared, in-memory space for containers in the same pod, with data removed when the pod ends.
Quiz
HostPath Volume13:31
Explore host path volumes that mount a host folder into pods to share data between containers on the same node, with auto-create behavior and single-node considerations.
Quiz
Configmap as Volume13:41
Learn to mount a config map as a volume in Kubernetes, so updates reflect in the running container without restart, with keys becoming files under the mounted /data path.
Quiz
Understanding PersistentVolume and PersistentVolume Claims36:15
Quiz
Dynamic Creation of Persistent Volume25:43
Dynamically provision persistent volumes with a storage class using a PVC that binds to a PV; supports Azure disk and AWS EBS; storage class controls binding mode and reclaim policy.
Quiz
Azure FileShare as Volume22:09
Learn how to mount an Azure file share as a Kubernetes volume, using a secret for credentials to persist data outside the cluster and share files across pods.
Quiz

Why StateFulSets35:00
Stateful sets ensure stable pod identities and per-pod persistent volumes for stateful apps, enabling ordered start, predictable replacement, and data replication with master and replicas.
Quiz
Creating StatefulSets for My SQL Workload25:09
Create a stateful set for a MySQL workload using a storage class to dynamically provision persistent volumes via a volume claim template, with a headless service for pod access.
Quiz
Using StatefulSet Pods using Headless Service17:46
Use a headless service with a stateful set to reach a specific MySQL pod by name, without a cluster IP, and deploy a separate load balancer service for reads.
Quiz

Requirements

Working knowledge of containers and Docker is required — familiarity with Docker images, containers, and the Docker CLI is assumed before starting
Familiarity with Linux command-line basics — navigating directories, running commands, and reading output
Basic understanding of cloud computing concepts such as virtual machines, networking, and cloud services
kubectl, Docker, and Azure CLI should be available on your system — installation guidance is provided at the start of the course
Prior Azure experience is helpful but not required for most sections — AKS is introduced from the ground up

Description

Kubernetes is the operating system of the cloud — and in 2026, the question is no longer whether your organisation will use it, but whether you can operate it at a production level. This course is built for that standard.

Designed for DevOps engineers, cloud engineers, platform engineers, and SREs, this course focuses exclusively on the Kubernetes skills that enterprise environments require: production deployment strategies, security, scaling, stateful workloads, monitoring, and Azure Kubernetes Service (AKS) — the managed Kubernetes platform used across Microsoft Azure organisations worldwide.

This is not a beginner fundamentals course. If you already know what a container is and want to take your Kubernetes knowledge
into professional production environments, this is where you go next.

What sets this course apart from other Kubernetes courses:

Every major Kubernetes course available teaches the same core path — pods, deployments, services, storage. This course covers that foundation and goes significantly further into the production skills that distinguish a developer who has used Kubernetes from an engineer who can operate it.

Three specific capabilities set this course apart from all three top Kubernetes courses on Udemy: Blue-Green and Canary deployment strategies (none of the top courses cover these), Jobs, CronJobs, and DaemonSets (absent from competing courses), and dedicated monitoring and logging coverage (not included in any comparable Kubernetes course). Combined with a focus on Azure AKS rather than AWS or GCP, this course fills a genuine gap for Azure-oriented professionals.

Note on Helm: The subtitle currently references Helm. Please confirm whether Helm is taught as a dedicated section within the course. If yes, add Helm coverage to the description and outcomes below. If not, remove it from the subtitle to avoid buyer expectation mismatch and refund risk.

What you will master, topic by topic:

Kubernetes Architecture and Core Objects — Build a solid operational understanding of how Kubernetes clusters function: architecture, core components, kubectl, YAML-based declarative configurations, namespaces, labels, and the Kubernetes API. This is not introductory — it is the correct foundation for everything that follows.

Production Deployment Strategies — Go beyond rolling updates. Implement Blue-Green deployments for instant traffic switching and Canary releases for progressive rollouts with real traffic validation. These are the deployment strategies used in production engineering teams and are notably absent from every competing course in this category.

Kubernetes Services and Ingress — Configure ClusterIP, NodePort, LoadBalancer, and ExternalName services for internal and external traffic. Implement Ingress controllers for production-grade traffic routing, path-based rules, and SSL termination in real Azure environments.

Application Configuration and Secrets — Manage application configuration using ConfigMaps and Secrets with proper injection patterns. Understand how sensitive data flows through Kubernetes securely and how configuration is decoupled from container images in enterprise workflows.

Persistent Storage — Implement Persistent Volumes, Persistent Volume Claims, dynamic storage provisioning, and Azure File Share integration. Understand how stateful applications manage data across pod restarts and cluster upgrades.

StatefulSets and Workload Types — Deploy and manage stateful applications using StatefulSets with stable network identities and ordered scaling. Configure Jobs for one-time tasks, CronJobs for scheduled automation, and DaemonSets for node-level operations — the complete Kubernetes workload type coverage that most courses skip.

Resource Management and Autoscaling — Configure CPU and memory resource requests and limits, implement liveness and readiness probes, and deploy Horizontal Pod Autoscaler (HPA) for production-grade reliability and automatic scaling under load.

Kubernetes Security — Apply security as a first-class concern: service accounts, RBAC role and rolebinding configuration, and security contexts for pod-level privilege control. This is the security depth that enterprise Kubernetes clusters require and audit teams check.

Monitoring and Logging — Collect and analyse logs, events, and metrics from Kubernetes workloads. Build the operational visibility needed to diagnose issues, track performance, and maintain production Kubernetes clusters effectively.

Azure Kubernetes Service (AKS) — Create and manage AKS clusters using Azure CLI and Azure Portal. Deploy applications, configure storage, and manage cluster settings in Microsoft's managed Kubernetes service — directly applicable to Azure enterprise environments.

eCommerce Real-World Project — Apply every concept from the course through a realistic eCommerce application deployment. This is a full production-pattern project covering deployment, scaling, storage, configuration, security, and monitoring — not a toy example, but a template for the type of work you will do professionally.

Your transformation:

By completing this course, you will be able to deploy, operate, and secure Kubernetes workloads in enterprise environments — including production-grade deployments on Azure AKS. You will understand Blue-Green and Canary release strategies, manage stateful workloads, configure RBAC and security contexts, implement HPA autoscaling, and monitor running clusters with operational confidence.

These are the skills that distinguish a junior Kubernetes user from a professional who can run production clusters. They are the skills enterprise DevOps and platform engineering teams need, and they are consistently underrepresented in the most popular Kubernetes courses available.

Enroll now and build the production-grade Kubernetes skills that enterprise Azure environments require.

Who this course is for:

DevOps engineers and cloud engineers responsible for deploying, operating, and scaling containerised applications in enterprise Azure environments
Platform engineers and SREs who need production-grade Kubernetes skills including Blue-Green/Canary deployments, RBAC, security contexts, and cluster monitoring
Azure professionals and cloud architects designing or migrating production workloads to Azure Kubernetes Service (AKS)
Backend and full-stack developers transitioning to cloud-native microservices architectures who need practical Kubernetes skills beyond beginner fundamentals
Professionals who have completed a Kubernetes beginner course and need structured intermediate-to-advanced production skills with real enterprise patterns
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Kubernetes: Deploy, Secure & Scale on Azure AKS [2026]

What you'll learn

Explore related topics

Course content

Introduction to Kubernetes3 lectures • 1hr 39min

Kubernetes Installation and Configuration1 lecture • 21min

Working with PODS and Kubecti commands6 lectures • 2hr 9min

Working with Kubernetes Objects3 lectures • 1hr 3min

Kubernetes Dashboard1 lecture • 23min

Kubernetes Services2 lectures • 1hr 11min

Kubernetes Ingress3 lectures • 1hr 19min

Kubernetes Configmaps and Secrets3 lectures • 1hr 5min

Configuring and Managing Storage6 lectures • 2hr 16min

StatefulSets3 lectures • 1hr 18min

Requirements

Description

Who this course is for: