Recovery point objective

As explained in AI for Everyday IT

A recovery point objective is the maximum acceptable amount of data loss measured as time between the latest recoverable copy and a disruption.

How AI for Everyday IT covers it

How deep it goes

Defines maximum tolerable data loss and pairs RPO with RTO, but does not provide calculation or implementation steps.

Examples

Applies RPO to MySQL servers and applications while documenting full, incremental, and binary-log backups.

What it assumes

Assumes familiarity with servers, applications, backups, and disaster recovery while distinguishing data loss from downtime.

What you can do after

Apply it via disaster-recovery documentation by recording an RPO for each server or application.

How it connects

Connects RPO with RTO, backups, replication roles, binary logs, failover, and restoration.

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Also explained in

• 

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  100 SQL Server Mistakes and How to Avoid ThemRPO, or recovery point objective, is the maximum acceptable amount of data loss measured in time or recoverable data.
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  MongoDB 8.0 in Action, Third EditionA recovery point objective is the maximum acceptable amount of data loss expressed as elapsed time.
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  liveBookmanning.com
  PostgreSQL Mistakes and How to Avoid ThemA recovery point objective is the maximum amount of data loss measured in time that a disaster-recovery plan is designed to tolerate.
• 

  liveBookmanning.com
  Data-Driven CybersecurityA recovery point objective (RPO) is the maximum acceptable amount of data loss, expressed as the time between the latest recoverable copy and a disruption.

Compare how 5 books explain recovery point objective →

Related concepts

• disaster recoverymeasures · Disaster recovery is the planning and execution of processes and capabilities for restoring systems, data, and services after a disruptive event.
• backup and restoreconfigures · Backup and restore is the practice of preserving copies of data or system state and using them to recover it after loss, damage, or failure.
• business impact analysisproduced by · Business impact analysis is a structured assessment of how disruptions affect organizational functions and objectives, including their recovery priorities.
• data lossmeasures · Data loss is the destruction, corruption, deletion, or unavailability of information that is expected to be retained or remain usable.
• transaction log backupconfigures · A transaction log backup is a saved sequence of database transaction-log records used to support recovery and manage log space.

This explainer was generated by Manning's knowledge graph from the text of AI for Everyday IT. The section links point to the parts of the book it draws on.