Prometheus meets operational clarity
Connect PromQL metrics, firing alerts, and scrape target health to infrastructure and deployment signals — so metrics explain what changed, not only what is loud.
THE STACK-SPECIFIC PROBLEM
Metrics stay siloed from operational context
Prometheus holds the time series — but tying PromQL, alerts, and target health to deploys, ownership, and customer impact still takes manual work across tools.
Query Results Without Context
Instant and range queries return numbers without the deploy and service story behind the spike.
Firing Alerts Without Priority
Pending and firing alerts stack up without clear links to infrastructure change and ownership.
Scrape Target Blind Spots
Unhealthy targets and missing series are hard to relate to cluster and service topology.
Manual Correlation
Engineers jump between Prometheus, Datadog, and chat to stitch metrics to production behaviour.
HOW OPSPHERE INTEGRATES
Metrics awareness from the first sync
Opsphere tracks Prometheus queries, alerts, rules, and scrape targets alongside your operational data — complementing Datadog logs and APM, not replacing Prometheus.
Connect
Authorize secure read access to your Prometheus HTTP API endpoint.
Discover
Map targets, label values, series selectors, and active alerting rules.
Baseline
Learn normal metric and alert patterns for critical services.
Monitor
Relate PromQL results and firing alerts to infrastructure and application signals.
WORKFLOW EXAMPLE
From firing alert to operational insight
See how Opsphere connects Prometheus metrics activity to production behaviour.
11:02:14 UTC
Alert Firing on API Latency
Prometheus reports a firing alert for elevated p99 latency on the checkout service.
11:02:41 UTC
Deploy Window Correlated
Opsphere automatically runs PromQL range queries to correlate the firing alert with the deploy window and upstream latency.
11:03:18 UTC
Target and Query Context Surfaced
Scrape target health, related series, and PromQL evidence appear in one operational thread.
11:16:05 UTC
Alert Resolved
Rollback completed; firing alert clears alongside recovery metrics.
TECHNICAL BENEFITS
Built for Prometheus-native teams
Unify PromQL, alerts, and scrape health with operational intelligence — next to Datadog, not instead of it.
PromQL in the Operational Loop
Run instant and range queries from chat or Cursor so metric evidence lands where responders already work.
Real-time
Query access
Alert-Aware Operations
Inspect pending and firing alerts alongside rules so pages and metrics stay on the same thread.
Unified
Alert context
Scrape Target Visibility
See target health and missing scrapes in relation to the services they feed.
Instant
Target status
Metrics-to-Change Correlation
Connect PromQL spikes and firing alerts to deploys and infra signals without manual bisecting.
Automatic
Context linking
Series and Label Discovery
Explore label values and series selectors to find the right metric path during an investigation.
Complete
Metric discovery
Metrics-Native by Design
Read-only MCP tools for Prometheus — no agents on your scrapers, works with Kubernetes and the rest of your stack.
Zero
Agents required
GET STARTED TODAY
Connect Prometheus. Understand the metrics.
Bring PromQL, alerts, and production operations together.