"PostgreSQL High Availability Cookbook, 2nd Edition" by Shaun M. Thomas, Chander Kant, and Haroon Hurani is a practical guide for database administrators and developers who want to ensure their PostgreSQL databases are resilient, performant, and always available. This book provides a collection of recipes designed to help you implement high availability solutions using PostgreSQL.
Key Features:
- Comprehensive Coverage: Learn about the latest features and tools available in PostgreSQL to achieve high availability.
- Practical Recipes: Step-by-step instructions and detailed explanations to implement high availability solutions.
- Real-World Scenarios: Examples and case studies to illustrate the application of techniques in real-world environments.
What You Will Learn:
- Replication Techniques: Set up and manage replication using different methods, including streaming replication and logical replication.
- Failover and Recovery: Implement automatic failover mechanisms and perform recovery to minimize downtime.
- Load Balancing: Distribute load effectively across multiple database instances to ensure performance and reliability.
- Monitoring and Management: Use tools and techniques to monitor database health and performance, and manage high availability clusters.
- Backup and Restore: Implement robust backup and restore strategies to protect data and ensure quick recovery in case of failure.
- Configuration and Optimization: Tune PostgreSQL configuration for high availability and optimize performance for large-scale deployments.
Who This Book Is For:
This book is ideal for database administrators, system administrators, and developers who have basic knowledge of PostgreSQL and want to ensure their databases are highly available and resilient. Whether you are managing a single server or a complex cluster, this cookbook provides the recipes and insights needed to achieve high availability with PostgreSQL.
With this book, you'll be able to design, deploy, and maintain high availability solutions, ensuring that your PostgreSQL databases are always up and running, no matter what challenges arise.