Monitoring and incident response
Instance, listener, tablespace, job, alert log and wait-event monitoring, with thresholds tuned to your workload during onboarding.
Alerts are triaged against the change record first, because most database incidents follow a change somewhere.
Incidents found by monitoring, with a cause rather than a guess.
Patching and upgrades
Quarterly release updates, one-off patches, and version upgrades planned around your close and production calendars.
Patches are applied in test with a timed runbook before production, and every deferral is recorded as accepted risk.
A patch position you can state on any given day.
Performance tuning
SQL and instance tuning against measured waits: execution plans, indexing, statistics strategy, memory and I/O configuration.
Tuning starts from the wait event, not from a list of best practices. The estate decides what matters.
Response times improved against a baseline you can see.
Backup and recovery testing
RMAN configuration, retention aligned to your recovery objectives, and scheduled restore tests to a separate environment.
Point-in-time recovery is rehearsed, timed and reported, so your recovery time objective is a measurement rather than an aspiration.
A restore time you have observed.
High availability
RAC administration, Data Guard configuration and role transition, plus failover testing on a schedule instead of on the bad day.
A standby that has never been opened is not yet a standby.
Failover proven, with the switchover time recorded.
Capacity and growth
Growth trending by tablespace and segment, I/O and memory headroom, and a forecast that reaches the next hardware or subscription decision.
Capacity conversations happen a quarter early rather than at the point of failure.
Growth surprises replaced by a dated forecast.