Correlate every slow endpoint to the exact query, plan, and lock that caused it — in real time, across your entire fleet.
A purpose-built observability layer for database workloads. We unify active session history, wait-event profiling, plan evolution, replication lag, and I/O pressure into a single real-time view — and stitch it to the application traces and infrastructure metrics that explain the story.
Generic APM tools show you *that* the database is slow. They rarely show you *why*. Real-Time Observability is built by DBAs, for DBAs — surfacing the wait events, plan regressions, and lock graphs that actually drive resolution.
How enterprises deploy this service to solve specific, high-stakes problems.
During a staged rollout, a schema change caused one hot query to flip to a sequential scan. Real-Time Observability flagged the plan change within 30 seconds and correlated it to the deploy ID, letting SRE roll back before user traffic was affected.
A 90-day trend view revealed that slow clinical queries correlated with a quarterly data growth pattern the team had never seen on their default dashboards. The fix — partitioning — was identified in under an hour.
By surfacing the top 5 queries responsible for 80% of wait time, the engineering team rewrote three ORM calls and added two covering indexes — shrinking p99 under 120ms.
Deploy the observability agent on primaries and replicas — zero schema changes.
Wire into your existing APM, logging, and alerting stack.
Calibrate anomaly thresholds to your workload shape.
Standing dashboards, weekly workload reports, and on-demand deep dives.
Wait events, plan changes, and lock graphs — not generic metrics.
From user request to the exact SQL call and plan node.
Proven on fleets with thousands of instances and tens of TB.
Book a 30-minute working session with our team. We'll walk through your stack, your pain points, and what a pilot looks like.
