Maintenance
Maintenance is the ongoing work of operating, correcting, repairing, adapting, updating, or supporting an existing system or content to preserve or improve its functioning.
Machine Learning System Design
The ongoing work of keeping existing system functionality working as its environment changes.
- How it is used
- Keeps existing ML system functionality working as customers, datasets, infrastructure, and organizational circumstances change.
- How deep it goes
- Develops an ownership and support checklist with organizational examples, but does not provide a technical incident-response procedure.
- Examples
- Contrasts a retailer’s stakeholder sign-offs and RACI matrix with an image-search company’s component owners and two-level on-call rotation.
- What you can do after
- Operate/configure it by assigning support roles, arranging incident coverage, maintaining documentation, and making incremental fixes.
Read how Machine Learning System Design explains maintenance →
Lead Developer Career Guide
The ongoing operational work of preserving, repairing, and updating software so that it continues to function reliably.
- How it is used
- Schedules recurring operational work to prevent downtime and errors and preserve system stability.
- How deep it goes
- Contrasts scheduled prevention with reactive recovery and gives an automation example, without specifying individual maintenance tasks.
- Examples
- Uses overnight automated maintenance with email alerts and places the maintenance phase after testing in waterfall projects.
- What you can do after
- Operate automated maintenance processes with email alerts to reduce manual checks and emergencies.
Related concepts
- code readabilityproduced by · Code readability is the ease with which human readers can perceive and understand source code, including its structure and intent.
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