Database operators were drowning in engine-specific tooling. A team running MySQL, Oracle, Cassandra, and PostgreSQL side by side had to context-switch between four different consoles, four different vocabularies, and four different ideas of what a 'healthy' instance looked like.
Marketing framing: one monitoring surface, every supported engine.
The goal was a single observability platform (unified dashboards, alerts, and recommendations) that treated each engine as a first-class citizen without forcing a lowest-common-denominator view.
Approach
Onboarding around the database, not the product
Wizard step one: pick the engine. Everything downstream adapts.
First-run starts with the engine, not the feature set. The tile grid sets expectations early (this is a BlueMedora-era product that monitors many databases) and routes each user into a config flow tuned to their stack.
Every engine speaks the same visual language: a left-rail nav, KPI cards across the top, sparklines for trend at a glance, and tabs for the engine-specific drilldowns underneath. Operators learn the layout once and reuse it across the fleet.
Engine-aware variants
Cassandra view leans into nodes and keyspaces.
Cassandra is a distributed store, so the overview foregrounds nodes and keyspaces. The shell stays the same, the content swaps to match the mental model of the engine.
PostgreSQL emphasizes query execution time.
PostgreSQL gets a query-centric workspace: stacked execution-time bars surface slow statements quickly, while the rest of the chrome remains familiar.
Alerts that read like conversations
Alert detail pairs the signal with team commentary.
Alerts and recommendations live next to a comment thread with @mentions, so triage and handoff happen in the same place the incident is seen.
Outcome
Mobile parity for overview, alerts, and latency views.
The system held together across engines and form factors. On-call operators could check overview, alerts, and latency from a phone without losing the structure they used at their desk: the same monitoring vocabulary, scaled down.
