Recovery point objective
A recovery point objective is the maximum acceptable amount of data loss, typically expressed as the time between a disruption and the latest recoverable state.
100 SQL Server Mistakes and How to Avoid Them
RPO, or recovery point objective, is the maximum acceptable amount of data loss measured in time or recoverable data.
- How it is used
- Guides backup strategy, backup frequency, and recovery-model choices around acceptable data loss.
- How deep it goes
- Defines RPO and works through schedules, ETL conflicts, recovery models, and catastrophic-failure consequences without formal calculations.
- Examples
- Uses one-hour and 30-minute loss limits, a 24-hour warehouse target, and a disk-array failure after a full backup.
- What you can do after
- Apply it by scheduling backups and selecting recovery models that meet each database’s acceptable data-loss limit.
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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 it is used
- Uses RPO to specify recovery requirements for each server or application during disaster-recovery planning.
- 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 you can do after
- Apply it via disaster-recovery documentation by recording an RPO for each server or application.
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MongoDB 8.0 in Action, Third Edition
A recovery point objective is the maximum acceptable amount of data loss expressed as elapsed time.
- How it is used
- Frames Atlas backup restoration around acceptable data-loss intervals and recovery precision.
- How deep it goes
- Defines RPO and distinguishes three restore paths, but does not quantify backup schedules or recovery duration.
- Examples
- Uses Atlas cluster names, snapshot IDs, project IDs, and a UNIX timestamp in restore commands.
- What you can do after
- Operate/configure Atlas CLI to restore snapshots or recover a cluster to a recent point in time.
Read how MongoDB 8.0 in Action, Third Edition explains recovery point objective →
PostgreSQL Mistakes and How to Avoid Them
A recovery point objective is the maximum amount of data loss measured in time that a disaster-recovery plan is designed to tolerate.
- How it is used
- Measures tolerable disaster-related data loss when evaluating PostgreSQL backup and high-availability arrangements.
- How deep it goes
- Defines the metric and relates it to PITR and saved WAL, while deferring detailed recovery procedures.
- Examples
- Uses automated backups, server destruction, saved WAL files, PITR, and cascaded replication as operational examples.
- What you can do after
- Evaluate whether backup and replication arrangements limit disaster data loss to an acceptable interval.
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Data-Driven Cybersecurity
A recovery point objective (RPO) is the maximum acceptable amount of data loss, expressed as the time between the latest recoverable copy and a disruption.
- How it is used
- Guides backup frequency and recovery planning after cyberattacks.
- How deep it goes
- Defines acceptable data loss and links it to backup frequency, but provides no calculation or testing procedure.
- Examples
- Uses SecureTech's backup-compliance and RPO-compliance targets within a data-security dashboard exercise.
- What you can do after
- Evaluate backup readiness by comparing RPO compliance with targeted recovery objectives.
Read how Data-Driven Cybersecurity explains 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.
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