Intelligence
The database platform that explains itself.
Monitoring produces signals. Intelligence turns them into an argument you can check — what is happening, why it may be happening, what needs attention, and what to investigate first.
Why it works here
Intelligence is only as good as its context.
A general-purpose assistant knows a great deal about databases and nothing about yours. SchemaPulse already holds the operational context of every instance you run — metrics, queries, topology, elections, incidents, backups, recovery points and inventory — because it needs that context to run the platform.
That is the whole difference. The intelligence layer is not reading documentation; it is reading your estate.
It is also one layer, not a shelf of separate features. Correlation feeds investigation; investigation feeds the assistant; the assistant and the recommendation engine cite the same evidence and reach into the same subsystems — monitoring,incidents,query analytics andbackup and recovery. Ask a recommendation a follow-up and you are talking to the assistant.
What changed before this incident?
Three things changed in the 40 minutes before INC-2291 opened.
At 02:14 UTC orders-galera-1 lost and regained cluster membership. Write throughput shifted to galera-0, whose innodb_buffer_pool hit rate then fell from 99.2% to 94.1%.
At 02:31 a deployment added an index to orders.line_items, and one query changed plan — mean latency 8ms to 340ms.
The latency alert at 02:47 is most consistent with the plan change, not the membership event: the membership change resolved 12 minutes before latency began climbing.
Evidence
Six areas
What Intelligence covers
Incident Correlation
Many signals collapsed into one incident, with topology as part of the correlation.
Query Intelligence
Which query changed, when it changed, and what changed around it.
AI Database Assistant
Ask your estate a question in plain language and get an answer that cites its evidence.
Recommendations
Findings with evidence, impact, suggested action and confidence.
Performance Insights
Saturation and growth read against per-instance baselines.
Root-cause Investigation
What changed before this, across metrics, queries, topology and deployments.