For platform engineering
Postgres as a platform capability, not a ticket queue
DBExplore discovers every database your teams spin up, holds them to golden configs and SLOs, and lets you offer safe self-service fixes without handing out superuser.
What goes wrong
Databases nobody registered
A team creates an Aurora cluster with a Terraform module you never saw. It shows up in the bill before it shows up in monitoring.
One more pane of glass
Every database tool wants to be the dashboard. Your engineers already live in Grafana, Slack, and PagerDuty.
Config drift at scale
Forty clusters, forty slightly different parameter groups. The one with the wrong work_mem is the one that pages you.
What DBExplore does about it
The operational detail behind this: the shapes the agent is deployed in.
Fleet discovery across clouds
Managed instances, replicas, and Kubernetes operator clusters appear in the inventory before the first invoice.
Golden baselines and drift
Declare a golden config per environment. Drift between primary and standby, or between live settings and the config file, becomes an event with an owner.
SLOs with error budgets
Latency, availability, replication, and capacity objectives with burn-rate alerts routed to the channels your teams already watch.
Governed self-service
Application teams approve their own safe actions inside policy you wrote. Cluster-wide changes still need platform approvers.
Platform engineering: questions we get first
Does it integrate with Grafana and Datadog?
Yes. Metrics and events export to Grafana and Datadog, and DBExplore ingests OpenTelemetry logs. Alerts route to Slack, PagerDuty, OpsGenie, Teams, Jira, email, and webhooks.
Can we manage it as code?
Clusters, alert routes, and autonomy policies are managed through the REST API, so whatever provisioning pipeline you already run can drive them. The policies themselves are policy-as-code rules you version in git and review like any other change.
How does the agent connect?
A container, Kubernetes deployment or sidecar, or native package next to your databases, using a read-only monitoring role over a small connection pool with short statement timeouts. No superuser.
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.
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.