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PostgreSQL Management and Automation with ClusterControl

This white paper discusses some of the challenges that may arise when administering a PostgreSQL database as well as some of the most important tasks an administrator needs to handle; and how to do so effectively … with ClusterControl. See how much time and effort can be saved, as well as risks mitigated, by the usage of such a unified management platform.

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Table of contents

  • Introduction
  • Backup and recovery
  • HA setups
    • Master-Slave architectures
    • Master-Master architectures
      • Load Balancing and connection pooling
  • Monitoring
  • Synopsis
  • Automation with ClusterControl
    • Deployment
    • Import
    • Scalability
    • Failover
    • Load balancing
    • Monitoring
    • Alerts
    • Reports
    • Backups
    • Topology view
    • Integrations
  • ChatOps via CCBot
    • Command Line
      • Help
      • PostgreSQL deploy cluster
      • PostgreSQL create backup
      • PostgreSQL cluster status
      • Jobs status
  • Conclusion

Introduction

PostgreSQL is an object-relational database management system (ORDBMS) developed at the University of California at Berkeley Computer Science Department.

It supports a large part of the SQL standard and offers many modern features:

  • complex queries
  • foreign keys
  • triggers
  • updateable views
  • transactional integrity
  • multiversion concurrency control

Also, PostgreSQL can be extended by the user in many ways, for example by adding new:

  • data types
  • functions
  • operators
  • aggregate functions
  • index methods
  • procedural languages

And because of the liberal license, PostgreSQL can be used, modified, and distributed free of charge by anyone for any purpose, be it private, commercial, or academic.

These features have consolidated the engine in the top 4 of the most used databases.

Figure 1: PostgreSQL Rank

PostgreSQL offers natively some of the most industry demanded feature, such as master-slave replication, backup and recovery, transactionality, partitioning.

Anyway, there are still some other demanded features that need to be accomplished by external tools, such as sharding, master-master setups, monitoring, load balancing and statistics reporting.

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