Managed Support and Auto-Healing

Auto-healing starts with knowing what healthy means

Recovery automation is valuable only when it checks real service behavior. Define the user journeys and dependencies that matter: public page response, login, search, database, indexing, scheduled jobs, storage, certificates, mail, and the processes behind Koha, DSpace, OJS, Drupal, or connected services.

Managed-support checklist

• Document services, dependencies, owners, credentials process, escalation contacts, maintenance windows, and recovery priorities.
• Monitor availability, expected content, response time, processes, database connections, storage, memory, queues, certificates, and scheduled tasks.
• Use bounded recovery actions with retries, cooldowns, logs, alerts, and an escalation path when automation cannot restore service.
• Back up databases, files, assets, configuration, certificates, and deployment information with defined retention and off-host copies.
• Test restoration and user-facing workflows after recovery, maintenance, updates, or infrastructure change.

Use automation proportionately

A process restart may recover a transient failure; repeated restarts can hide memory pressure, corrupt data, broken dependencies, or exhausted storage. Auto-healing should preserve diagnostic evidence, stop after a safe limit, and notify a responsible person with enough context to investigate.

Design backups for restoration

A successful backup job is not proof of recoverability. Verify files, checksums, encryption, retention, off-server transfer, and available capacity. Rehearse restoration to a safe environment and document the order in which database, files, configuration, search indexes, and application services return.

Turn incidents into better operations

Record what users experienced, how the issue was detected, the affected dependency, recovery actions, validation, root cause, and preventive follow-up. Review recurring failures and adjust monitoring, capacity, deployment, documentation, or ownership instead of normalizing repeated interruption.