Kubernetes Event Driven Autoscaling With Keda


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Kubernetes Event-driven Autoscaling with KEDA


Kubernetes Event-driven Autoscaling with KEDA

Author: William Smith

language: en

Publisher: HiTeX Press

Release Date: 2025-07-13


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"Kubernetes Event-driven Autoscaling with KEDA" Unlock the full potential of cloud-native architectures with "Kubernetes Event-driven Autoscaling with KEDA," the definitive guide for engineers, architects, and DevOps professionals navigating the complexities of dynamic, event-driven workload scaling. This comprehensive book begins by dissecting Kubernetes autoscaling fundamentals, exploring the mechanisms and limitations of Kubernetes’ native scaling solutions. Readers are introduced to foundational concepts such as the control plane and metric-driven scaling, before delving into the unique challenges associated with unpredictable, spiky workloads typical in modern distributed systems. The heart of the book offers an in-depth exploration into the internals of KEDA—Kubernetes-based Event Driven Autoscaling—illuminating its architecture, integration patterns, and extensibility. Readers will discover advanced techniques for integrating diverse event sources, securing event-driven pipelines, and deploying KEDA seamlessly across hybrid, edge, and multi-cloud environments. Real-world examples demonstrate how to leverage KEDA’s ScaledObjects, ScaledJobs, and custom scaler plugins to enable resilient, responsive scaling for stateless and stateful workloads alike, all while ensuring operational efficiency and cost optimization at scale. Touching on every facet of the event-driven Kubernetes journey, the book addresses instrumentation, observability, and troubleshooting strategies tailored to highly dynamic environments. With sections on performance engineering, predictive autoscaling, building custom scalers, and contributing to the open-source KEDA project, this guide empowers practitioners to design robust, future-proof autoscaling workflows. Rounded out by best practices, anti-patterns, and migration strategies, "Kubernetes Event-driven Autoscaling with KEDA" stands as an essential resource for delivering scalable, reliable, and cost-effective cloud-native applications.

Mastering Elastic Kubernetes Service on AWS


Mastering Elastic Kubernetes Service on AWS

Author: Malcolm Orr

language: en

Publisher: Packt Publishing Ltd

Release Date: 2023-07-21


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Leverage AWS EKS to optimally manage Kubernetes deployment, scaling, and monitoring for your containerized applications Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Seamlessly deploy and run Kubernetes applications on AWS Overcome security and networking issues in Kubernetes to improve the performance of your apps Scale and provision resources to meet the dynamic needs of the cluster using AWS EKS Book Description Kubernetes has emerged as the de facto standard for container orchestration, with recent developments making it easy to deploy and handle a Kubernetes cluster. However, a few challenges such as networking, load balancing, monitoring, and security remain. To address these issues, Amazon EKS offers a managed Kubernetes service to improve the performance, scalability, reliability, and availability of AWS infrastructure and integrate with AWS networking and security services with ease. You'll begin by exploring the fundamentals of Docker, Kubernetes, Amazon EKS, and its architecture along with different ways to set up EKS. Next, you'll find out how to manage Amazon EKS, encompassing security, cluster authentication, networking, and cluster version upgrades. As you advance, you'll discover best practices and learn to deploy applications on Amazon EKS through different use cases, including pushing images to ECR and setting up storage and load balancing. With the help of several actionable practices and scenarios, you'll gain the know-how to resolve scaling and monitoring issues. Finally, you will overcome the challenges in EKS by developing the right skill set to troubleshoot common issues with the right logic. By the end of this Kubernetes book, you'll be able to effectively manage your own Kubernetes clusters and other components on AWS. What you will learn Understand Amazon EKS architecture and how every component works Effectively manage Kubernetes cluster on AWS with Amazon EKS Build a Docker image and push it to AWS ECR Efficiently scale and provision resources leveraging Amazon EKS Dive deep into security and networking with Amazon EKS Understand Fargate serverless and apply it to the workload Who this book is for This book is for cloud architects and cloud engineers who want to efficiently manage Kubernetes with Amazon EKS. Basic knowledge of containerization, Kubernetes, Docker, and AWS services is needed to grasp the content present in this book.

Mastering AWS Elastic Kubernetes Services


Mastering AWS Elastic Kubernetes Services

Author: Siva Guruvareddiar

language: en

Publisher: BPB Publications

Release Date: 2024-11-28


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DESCRIPTION “Mastering AWS Elastic Kubernetes Services" is your comprehensive guide to understanding and implementing AWS EKS. This book helps you master Kubernetes, the industry-standard container orchestration platform, on the robust and scalable Amazon Web Services (AWS) cloud. This book is a complete guide to Kubernetes and AWS EKS, starting with the basics of Kubernetes architecture and container orchestration. It introduces AWS EKS, explaining its setup, configuration, and fully managed features on AWS. Advanced topics like networking, security, storage, scaling, and AWS EKS cluster optimization are covered in detail. With practical exercises and real-world applications, the book equips readers to confidently deploy, manage, and fine-tune Kubernetes applications on AWS, helping you gain expertise in implementing CI/CD pipelines for AWS EKS deployments, establishing robust networking policies, and architecting storage solutions for various workload requirements. By the end of this book, you will be equipped with the knowledge to design and manage production-ready AWS EKS environments that align with industry best practices and AWS Well-Architected Framework principles. KEY FEATURES ● Learn end-to-end EKS, from core Kubernetes concepts to advanced cluster operations. ● Master practical skills in EKS security, monitoring, and disaster recovery planning. ● Gain expertise in CI/CD, GitOps, and integration with other AWS cloud services. WHAT YOU WILL LEARN ● Design and deploy production-ready EKS clusters from ground up. ● Implement robust security measures and access controls for EKS workloads. ● Build automated CI/CD pipelines and GitOps workflows for EKS deployments. ● Master EKS networking, storage solutions, and AWS service integrations. ● Establish effective monitoring, logging, and troubleshooting strategies for clusters. ● Architect scalable and resilient applications using EKS best practices. WHO THIS BOOK IS FOR Whether you are a DevOps engineer, cloud architect, or platform administrator, you will learn to design, deploy, and maintain production-grade AWS EKS clusters with confidence with the help of this book. TABLE OF CONTENTS 1. Introduction to Kubernetes 2. Kubernetes Architecture 3. Kubernetes Components 4. Introduction to Amazon Elastic Kubernetes Service 5. Amazon Elastic Kubernetes Service Architecture 6. Setting up Elastic Kubernetes Service Prerequisites 7. Creating Elastic Kubernetes Service Clusters 8. Accessing and Configuring Elastic Kubernetes Service Clusters 9. Deploying Sample Apps on AWS Elastic Kubernetes Service Clusters 10. Managing Stateful Apps on AWS Elastic Kubernetes Service Clusters 11. Scaling AWS Elastic Kubernetes Services Workloads 12. Networking with AWS Elastic Kubernetes Services 13. Securing AWS Elastic Kubernetes Service Clusters 14. Storage Options for AWS EKS Workloads 15. Monitoring AWS EKS Clusters 16. Logging and Troubleshooting AWS EKS Clusters 17. Integrating EKS with Other AWS Services 18. Continuous Integration and Continuous Deployment Pipelines for Amazon EKS 19. GitOps Workflows with Amazon EKS 20. Backup and Disaster Recovery with Amazon EKS 21. Amazon EKS Optimization and Best Practices 22. Data Workloads on Amazon EKS 23. Generative Artificial Intelligence on Amazon EKS