Build EKS Cluster with eksctl. Manage Node Groups, Ingress with LBC, Storage with CSI, Cluster Autoscaler, HPA, VPA etc.
β±οΈ Length: 5.5 total hours
β 4.64/5 rating
π₯ 5,630 students
π August 2025 update
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
- Course Overview
- Embark on an accelerated learning journey designed to transform you into an EKS (Elastic Kubernetes Service) master. This intensive “bootcamp” style course focuses on practical, hands-on experience, equipping you with the skills to deploy, manage, and optimize robust Kubernetes clusters on AWS.
- Dive deep into the core functionalities of EKS, moving beyond basic cluster creation to encompass advanced operational aspects. The curriculum is meticulously crafted for efficiency and impact, ensuring you gain proficiency in key areas within a concise timeframe.
- Leverage the power of `eksctl`, the command-line tool for Amazon EKS, to streamline your cluster provisioning and management. This course emphasizes real-world scenarios and best practices for building scalable and resilient EKS environments.
- Understand the architecture and operational nuances of managing node groups, a fundamental component of any Kubernetes cluster. Learn how to effectively configure and maintain your compute resources.
- Explore the critical role of the Load Balancer Controller (LBC) for managing Ingress traffic, ensuring your applications are accessible and performant. Master the configurations necessary for seamless external access.
- Gain expertise in integrating persistent storage solutions using the Container Storage Interface (CSI), enabling stateful applications to run reliably on your EKS clusters.
- Implement dynamic scaling strategies with the Cluster Autoscaler, ensuring your cluster resources automatically adjust to meet demand, optimizing cost and performance.
- Master application-level autoscaling through Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA), allowing your applications to scale independently based on resource utilization.
- This course is designed for rapid skill acquisition, packed with practical demonstrations and actionable insights. It represents an efficient path to becoming proficient in managing AWS-based Kubernetes infrastructure.
- Requirements / Prerequisites
- A fundamental understanding of cloud computing concepts, particularly within the Amazon Web Services (AWS) ecosystem. Familiarity with core AWS services like EC2, VPC, and IAM is highly recommended.
- Basic knowledge of containerization technologies, with a strong emphasis on Docker. Understanding container images, registries, and the container lifecycle is essential.
- Familiarity with command-line interfaces (CLI) and shell scripting will greatly enhance your learning experience. Experience with Linux environments is beneficial.
- A foundational understanding of Kubernetes concepts, such as Pods, Deployments, Services, and Namespaces, is a prerequisite. While the course will reinforce these, prior exposure is advantageous.
- An active AWS account with appropriate permissions to create and manage EKS clusters and related resources.
- Skills Covered / Tools Used
- EKS Cluster Provisioning: Proficiently creating and configuring Amazon EKS clusters using `eksctl`.
- Node Group Management: Skillful deployment, configuration, and management of EC2 instances as worker nodes within EKS.
- Load Balancer Controller (LBC): Expertise in setting up and managing Ingress resources for effective traffic routing and load balancing.
- Container Storage Interface (CSI): Implementing and managing persistent storage for stateful applications using CSI drivers.
- Cluster Autoscaler: Configuring and optimizing automatic scaling of cluster nodes based on resource demands.
- Horizontal Pod Autoscaler (HPA): Implementing application-level autoscaling based on metrics like CPU and memory utilization.
- Vertical Pod Autoscaler (VPA): Configuring and managing automatic adjustments to resource requests and limits for pods.
- `kubectl` Command-Line Tool: Advanced usage for interacting with and managing Kubernetes resources.
- AWS CLI: Understanding and utilizing AWS command-line tools for resource management.
- Networking Concepts: In-depth knowledge of Kubernetes networking, VPC integration, and service discovery within EKS.
- Security Best Practices: Implementing security measures for EKS clusters, including IAM roles, network policies, and secrets management.
- Benefits / Outcomes
- Become highly competent in deploying and managing production-ready EKS clusters on AWS, ready for immediate application in real-world projects.
- Gain the confidence to troubleshoot and optimize EKS environments, ensuring high availability, scalability, and cost-effectiveness.
- Develop a deep understanding of Kubernetes operational challenges and master the tools and techniques to address them effectively.
- Enhance your career prospects significantly by acquiring in-demand skills in cloud-native technologies and AWS managed Kubernetes.
- Be equipped to design and implement efficient auto-scaling strategies for both your cluster infrastructure and individual applications.
- Master the integration of storage solutions, enabling the deployment of complex, stateful applications within your EKS clusters.
- Learn to manage Ingress traffic efficiently, ensuring your applications are reliably accessible and performant under varying loads.
- Acquire practical, hands-on experience that translates directly into demonstrable skills for employers.
- Gain the ability to implement robust security measures, protecting your EKS clusters and the applications they host.
- Position yourself as a valuable asset in the rapidly growing field of DevOps and cloud engineering.
- PROS
- Highly Practical and Hands-On: Emphasizes practical application and real-world scenarios, moving beyond theoretical concepts.
- Efficient Learning Path: Designed as a bootcamp for rapid skill acquisition in key EKS functionalities.
- Comprehensive Coverage of Core EKS Operations: Addresses critical aspects like node groups, ingress, storage, and autoscaling.
- Leverages `eksctl`: Streamlines cluster management with a powerful and widely-used tool.
- Strong Student Rating and High Enrollment: Indicates proven effectiveness and popularity within the community.
- CONS
- Concise Format Might Omit Deep Dives into Underlying Kubernetes Internals: While focusing on EKS management, there might be less emphasis on the intricate details of Kubernetes component interactions.
Learning Tracks: English,IT & Software,IT Certifications
Found It Free? Share It Fast!