liveBook · Manning

Continuity of operations planning

As explained in AI for Everyday IT

Continuity of operations planning is the preparation for maintaining critical business functions during and after disruptive events.

Continuity of operations planning (COOP) prepares an organization to keep critical business functions running during and after disasters. Disaster recovery restores services; COOP focuses on sustaining operations and limiting downtime. section 14.2.2

A practical COOP and recovery documentation effort gathers:

  • Server and service inventories, including roles, configurations, and infrastructure details. section 14.2.2
  • Backup methods, schedules, storage locations, and supporting software or services. section 14.2.2
  • Recovery Time Objectives and Recovery Point Objectives for each server or application. section 14.2.2

Start with a structured request

“I’m a MySQL DBA at an organization with about 100 servers. I’ve been asked to deliver disaster recovery documentation. What information do you need from me?” An AI service can turn this prompt into a checklist for building the documentation, which still requires review and organization-specific details. section 14.2.2

Figure 14.2 A humorous depiction of unpreparedness in crisis
figure

Use the unpreparedness illustration as a reminder that planning reduces confusion during a crisis. section 14.2.2

How AI for Everyday IT covers it

How deep it goes
Defines COOP against disaster recovery and outlines documentation inputs, but stops short of real-time plan generation.
Examples
Uses a 100-server MySQL environment, inventory and backup questions, recovery objectives, and a crisis-unpreparedness illustration.
What it assumes
Assumes access to infrastructure and backup details while prompting planners to collect missing operational information.
What you can do after
Build it from structured infrastructure, backup, and recovery-objective information, using AI to streamline documentation.
How it connects
Connects COOP with disaster recovery, backups, recovery objectives, MySQL administration, and generative AI.

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.