Scaling Applications in Kubernetes

A Practical Guide to Replicas, Autoscaling, and High Availability in Kubernetes Clusters

Master Kubernetes scaling with comprehensive coverage of HPA, VPA, cluster autoscaling, KEDA, and cost-effective strategies. Practical guide from basics to advanced scaling.

Author:

Category: Kubernetes

Pages: 326

Language: English

Publication Date:

DSIN: HW7WIU43N4M9

About This Book

**Scaling Applications in Kubernetes: A Practical Guide to Replicas, Autoscaling, and High Availability in Kubernetes Clusters** is the definitive resource for mastering application scaling in cloud-native environments. This comprehensive guide takes you from fundamental scaling concepts to advanced autoscaling strategies, providing practical knowledge essential for modern Kubernetes deployments. The book begins with core scaling fundamentals, covering replicas, deployments, and basic autoscaling mechanisms. You'll master the Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA), learning when and how to apply each for optimal results. Advanced chapters explore cluster autoscaling, custom metrics integration, and specialized scaling for stateful applications. Event-driven scaling receives extensive coverage through KEDA implementation, while dedicated sections on high availability and load balancing ensure your scaled applications remain resilient. The book addresses critical operational concerns including cost optimization, monitoring strategies, and troubleshooting techniques that prevent scaling failures in production. Each chapter includes hands-on examples, YAML configurations, and real-world scenarios. Extensive appendices provide quick-reference materials, CLI commands, and troubleshooting guides. Whether you're implementing your first autoscaler or designing complex multi-tier scaling architectures, this book delivers the expertise needed for scaling success. Special attention is given to GitOps integration, ensuring your scaling strategies align with modern deployment practices. Cost-effective scaling strategies help optimize resource utilization while maintaining performance. The comprehensive troubleshooting section addresses common scaling challenges with proven solutions.

Quick Overview

Master Kubernetes scaling with comprehensive coverage of HPA, VPA, cluster autoscaling, KEDA, and cost-effective strategies. Practical guide from basics to advanced scaling.

Key Topics Covered

  • Horizontal Pod Autoscaler
  • Vertical Pod Autoscaler
  • Cluster Autoscaler
  • KEDA event-driven scaling
  • custom metrics integration
  • StatefulSet scaling
  • high availability patterns
  • cost optimization
  • monitoring and alerting
  • troubleshooting
  • GitOps integration

Who Should Read This Book

DevOps Engineers, Platform Engineers, Site Reliability Engineers, Kubernetes Administrators, Cloud Architects, Application Developers, System Administrators

Prerequisites

Basic Kubernetes knowledge, YAML configuration experience, command-line interface familiarity, containerization concepts, basic networking understanding

Table of Contents

| Chapter | Title | Page | | ------- | -------------------------------------------------- | ---- | | Intro | Why Scaling Matters | 7 | | 1 | Replicas and Deployments | 21 | | 2 | Horizontal Pod Autoscaler (HPA) | 37 | | 3 | Custom Metrics for HPA | 54 | | 4 | Vertical Pod Autoscaler (VPA) | 74 | | 5 | Cluster Autoscaler | 94 | | 6 | Scaling StatefulSets | 107 | | 7 | Event-Driven Scaling with KEDA | 126 | | 8 | High Availability and Load Balancing | 143 | | 9 | Monitoring and Alerting for Scaling | 165 | | 10 | Cost-Effective Scaling Strategies | 188 | | App | Sample YAMLs for scaling scenarios | 224 | | App | HPA vs VPA vs Cluster Autoscaler comparison | 246 | | App | CLI Cheat Sheet | 267 | | App | Troubleshooting common scaling issues | 284 | | App | Using autoscaling with GitOps (e.g., ArgoCD, Flux) | 303 |

About This Publication

This practical guide transforms your approach to Kubernetes scaling through comprehensive coverage of native and third-party scaling solutions. You'll develop expertise in designing responsive, cost-effective scaling architectures that handle real-world demand patterns intelligently. The book progresses systematically from basic replica management to sophisticated event-driven scaling with KEDA. You'll learn to implement HPA and VPA effectively, integrate custom metrics for precise scaling decisions, and manage cluster-level autoscaling for optimal resource utilization. Advanced topics include scaling stateful applications, implementing high-availability patterns, and designing cost-conscious scaling strategies. Extensive operational guidance covers monitoring, alerting, and troubleshooting scaling implementations in production environments.

Book Details

Format
PDF
File Size
1.6 MB
Chapters
10
Code Examples
99
Exercises
99
Difficulty Level
beginner
Reading Time
12-16

Special Features

• Comprehensive coverage from basic replicas to advanced KEDA scaling • Hands-on YAML examples and configuration templates • Real-world scaling scenarios and case studies • Extensive troubleshooting guides and solutions • Cost optimization strategies and best practices • CLI command reference and cheat sheets • GitOps integration patterns with ArgoCD and Flux • Production-ready monitoring and alerting configurations • Performance tuning guidelines for scaled applications • High-availability design patterns and implementations

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Scaling Applications in Kubernetes