Scaling CouchDB

Description

This practical guide offers a short course on scaling CouchDB to meet the capacity needs of your distributed application. Through a series of scenario-based examples, this book lets you explore several methods for creating a system that can accommodate growth and meet expected demand. In the process, you learn about several tools that can help you with replication, load balancing, clustering, and load testing and monitoring. Apply performance tips for tuning your databaseReplicate data, using Futon and CouchDB's RESTful interfaceDistribute CouchDB's workload through load balancingLearn options.;Table of Contents; Preface; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Acknowledgments; Chapter 1. Defining Scaling Goals; What is Scalability?; Capacity Planning; The CAP Theorem; Consistency; Availability; Partition Tolerance; Chapter 2. Tuning and Designing for Scale; Performance Tips; Document Design; Chapter 3. Replication; Filters and Specifying Documents; Conflict Resolution; Picking the Same Revision as CouchDB; Picking a Conflicted Revision; Merging Revisions; Chapter 4. Load Balancing; CouchDB Nodes; Replication Setup. Table of Contents Preface Conventions Used in This Book Using Code Examples Safari® Books Online How to Contact Us Acknowledgments Chapter 1. Defining Scaling Goals What is Scalability? Capacity Planning The CAP Theorem Consistency Availability Partition Tolerance Chapter 2. Tuning and Designing for Scale Performance Tips Document Design Chapter 3. Replication Filters and Specifying Documents Conflict Resolution Picking the Same Revision as CouchDB Picking a Conflicted Revision Merging Revisions Chapter 4. Load Balancing CouchDB Nodes Replication Setup. Proxy Server ConfigurationTesting Chapter 5. Clustering BigCouch Lounge Pillow Chapter 6. Distributed Load Testing Installing Tsung Configuring Tsung Running Tsung Monitoring Identifying Bottlenecks Test Configuration.