Deploy, scale, secure, and manage production workloads using Kubernetes, Helm, RBAC, monitoring, and Azure AKS
โฑ๏ธ Length: 20.9 total hours
โญ 5.00/5 rating
๐ฅ 34 students
๐ February 2026 update
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- Comprehensive Enterprise Strategy: This course moves beyond basic “Hello World” tutorials to provide a robust framework for implementing Kubernetes in high-stakes production environments. It focuses on the transition from conceptual understanding to operational excellence, ensuring that cloud engineers can maintain 99.9% uptime for business-critical applications while managing complex microservices architectures.
- The Azure AKS Ecosystem Integration: Participants will explore the deep integration between Kubernetes and Microsoft Azure, learning how to leverage native features like Azure Active Directory for identity management, Azure Disk and File services for persistent storage, and the Azure Load Balancer for traffic distribution. This section emphasizes the specific nuances of the managed AKS service compared to bare-metal installations.
- Infrastructure as Code (IaC) Lifecycle: The curriculum treats cluster management as a code-driven discipline, teaching students how to automate the provisioning and scaling of node pools. By treating the infrastructure as a reproducible asset, engineers learn to eliminate manual configuration drift and ensure that every production environment is consistent with development and staging tiers.
- Advanced Cluster Hardening: Security is a primary pillar of this course, moving into the depths of network policies to isolate namespaces and restrict lateral movement within the cluster. You will master the art of securing the control plane and data plane, ensuring that secrets are managed through encrypted providers rather than plain-text environment variables.
- Fundamental Containerization Knowledge: Students should possess a functional understanding of container technology, specifically Docker, including how to build images, manage layers, and optimize container sizes for faster distribution. A firm grasp of why containers are superior to traditional virtual machines in a DevOps context is highly recommended before starting.
- Cloud Infrastructure Basics: A prerequisite understanding of cloud computing conceptsโsuch as VPCs (Virtual Private Clouds), subnets, routing tables, and public/private IP managementโis necessary. While specific Azure knowledge is a plus, a general understanding of how cloud providers manage resources will help in grasping the AKS-specific modules.
- Command Line Dexterity: Proficiency in navigating a Linux-based terminal is essential. Students should be comfortable with basic shell scripting and command-line interfaces, as the majority of the course involves interacting with the Kubernetes API via the kubectl tool and managing system configurations through text-based editors.
- Standard Networking Protocols: A basic understanding of HTTP/HTTPS, DNS, and TLS/SSL certificates is required to follow the modules on Ingress controllers and secure communication. Knowing how traffic flows from a userโs browser to a backend service will make the complex networking sections much more intuitive.
- Helm 3 and Package Orchestration: You will gain hands-on experience using Helm to manage complex application deployments. This involves creating custom charts, managing releases, and utilizing repositories to standardize how applications are packaged and versioned across the entire organization.
- Role-Based Access Control (RBAC): The course covers the granular implementation of RBAC, teaching you how to define Roles, ClusterRoles, RoleBindings, and ServiceAccounts. This ensures that developers, auditors, and automated systems have exactly the permissions they need and nothing more.
- Observability with Prometheus and Grafana: You will learn to deploy a full-stack monitoring solution to track the health of your clusters. This includes setting up Prometheus for metric collection and Grafana for visual dashboards, enabling proactive alerting before performance bottlenecks impact the end-user.
- Ingress Controllers and Traffic Management: Mastering Nginx Ingress or Azure Application Gateway to handle external access to services. You will learn how to configure path-based routing, SSL termination, and rate-limiting to protect your services from external threats while simplifying the entry point for API consumers.
- Production-Ready Competency: Upon completion, you will be capable of taking an application from a developerโs workstation and deploying it into a self-healing, auto-scaling production cluster. This outcome bridges the gap between a developer and a true Site Reliability Engineer (SRE).
- Maximized Resource Efficiency: By learning to set resource requests and limits properly, you will be able to optimize cloud spend for your organization. The ability to bin-pack containers effectively ensures that you are not paying for idle CPU and memory cycles in your Azure environment.
- Enhanced Career Trajectory: Mastering the production-side of Kubernetes remains one of the most sought-after skills in the modern IT landscape. Engineers who can prove they know how to secure and monitor clusters at scale typically command significantly higher salaries and lead major digital transformation projects.
- Operational Confidence: You will gain the peace of mind that comes from knowing how to perform rolling updates and zero-downtime deployments. The ability to rollback failed versions instantly using Helm and Kubernetes deployment strategies minimizes the risk associated with continuous delivery.
- PROS: Updated to reflect the 2026 Kubernetes landscape, ensuring all API versions and features are current and relevant for modern hiring needs.
- PROS: Focuses heavily on the “Day 2” operations of Kubernetes, which is often neglected in basic courses but is critical for professional cloud engineers.
- PROS: Provides a direct path to mastering Azure-specific implementations, making it an ideal choice for professionals working within the Microsoft ecosystem.
- CONS: The high technical density and fast-paced nature of the labs may prove challenging for individuals who do not have a solid background in Linux and basic networking.
Learning Tracks: English,Development,Software Engineering
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