Kubernetes Autoscaling Build efficient, cost-optimized clusters with KEDA and Karpenter

This course is ideal for DevOps engineers, cloud architects, SREs, and Kubernetes practitioners who want to move beyond basic Horizontal Pod Autoscaling and master event-driven and infrastructure-aware autoscaling strategies. You will learn how to dynamically scale workloads and nodes based on real-time demand, reduce cloud costs, and improve application performance in production-grade environments.

What You Will Learn

• Understand Kubernetes autoscaling fundamentals and limitations of traditional HPA
• Implement event-driven autoscaling using KEDA
• Configure scalers for queues, streams, databases, and external services
• Provision and manage nodes automatically using Karpenter
• Optimize cluster costs with intelligent node lifecycle management
• Design scalable architectures for microservices and cloud-native applications

Deep Dive into KEDA

You will explore Kubernetes Event-Driven Autoscaling (KEDA) in depth, learning how it integrates seamlessly with Kubernetes to scale workloads based on external metrics. The course covers real-world use cases such as scaling based on message queues, HTTP traffic, cron schedules, and custom metrics, enabling you to respond instantly to workload changes.

Mastering Karpenter for Node Autoscaling

Karpenter revolutionizes cluster autoscaling by provisioning the right compute resources at the right time. In this course, you will learn how to deploy Karpenter, define node pools, manage instance types, and optimize scheduling decisions to ensure maximum performance with minimal cost.

Who Should Enroll

This course is perfect for professionals managing Kubernetes clusters in cloud environments such as AWS, Azure, or GCP, as well as learners preparing for advanced Kubernetes and DevOps certifications.

Explore These Valuable Resources.

• Official KEDA Documentation
• Karpenter Project Documentation
• Kubernetes Autoscaling Concepts

Explore Related Courses

• Explore Related Courses: Kubernetes Training
• Explore Related Courses: DevOps Engineering
• Explore Related Courses: Cloud Computing
• Explore Related Courses: Docker & Containers
• Explore Related Courses: Site Reliability Engineering

Why Choose This Course

By the end of this course, you will be able to design and operate Kubernetes clusters that automatically scale applications and infrastructure based on real-world demand. You will gain practical skills to improve reliability, reduce operational overhead, and significantly cut cloud costs—making this course a must-have for anyone serious about modern Kubernetes operations.