Database incidents rarely begin with a complete failure. They usually begin with small signals that remain unresolved until workload, change or hardware pressure exposes them.
1. Performance changes without an obvious business reason
Queries that were previously stable begin consuming more time, CPU or I/O. A health check separates workload growth from execution-plan, indexing, memory, storage or configuration problems.
2. Backups succeed, but restores are not tested
A successful backup job is not the same as a recoverable database. Recovery requirements, retention, available media, restore procedures and elapsed recovery time must be validated.
3. Capacity surprises the team
Unexpected storage, archive, transaction-log or temp-space pressure indicates that monitoring is reporting activity without supporting planning.
4. High availability is assumed rather than exercised
Standby, clustering and replication technologies need role clarity, health monitoring and controlled testing. Configuration alone does not guarantee recovery.
5. Privileged access has grown informally
Shared accounts, excessive rights and incomplete auditing create both security and accountability problems.
6. Incidents depend on one person
Operational knowledge must be captured in runbooks, monitoring thresholds, escalation paths and recovery procedures.
7. Upgrades keep being postponed
Unsupported versions increase security, compatibility and recovery risk. A health check creates a realistic remediation and upgrade sequence.
Schedule a database health check.
Talk to our team about the right next step for your organisation.