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dbexplore

For site reliability engineering

The database page you can actually act on

When the app is slow and the database is the suspect, DBExplore already has the wait events, the plan change, and a proposed fix waiting for your approval in Slack.

What goes wrong

The database is always the suspect

Latency spikes, the app team points at Postgres, and the SRE on call has no DBA and three dashboards that disagree.

Alerts with no next step

CPU 92% on prod-eu-aurora-02 tells you nothing about which query, which plan, or which lock started it.

Automation you cannot trust

Every runbook script that touched production once was written after an outage and is one typo from causing the next one.

What DBExplore does about it

The operational detail behind this: where alerts route, with escalation and on-call schedules.

Root-cause narratives

Deterministic insight rules and causal-chain analysis turn an anomaly into a story: what changed, what it blocked, what it costs, and the evidence for each link.

Approvals in Slack

A proposed fix arrives with its dry-run output, its safety class, and its rollback. Approve from the channel, watch the verify step confirm it took effect.

Signatures with runbooks

Leader flapping, failover storms, stuck sync replicas, lost quorum, pool saturation. Each signature carries the runbook that resolves it.

Cooldowns and a kill switch

No action class storms a target. One switch drops every agent to observe-only in seconds.

SREs: questions we get first

How fast is time to first signal?

Agent install takes well under an hour. Real signals fire within the first day as baselines form, and anomaly signatures fire immediately on state conditions.

Can DBExplore change anything without approval?

Not by default. Every tenant starts at approve. Disruptive actions always need two approvers, and every mutating action passes a fail-closed policy gate first.

What about MTTR?

DBExplore removes the two slowest steps: finding which query and plan changed, and getting a safe fix approved. We measure MTTR on every pilot and share the numbers with you.

What leaves the database?

Metrics, catalog metadata, execution plans, and query text with literals scrubbed on the agent before it is sent. Parameter capture is off by default. Row data never leaves.

Run DBExplore on your fleet.

We onboard teams in small batches. Tell us about your fleet and we will reach out when a seat opens. One email, no drip campaign.