Prometheus & Grafana Consulting for Monitoring You Can Actually Rely On
We design and implement Prometheus and Grafana consulting engagements built around service-level objectives, not just dashboards for their own sake — so your alerts point at real problems and your on-call engineers stop tuning out the noise.
SLO-driven alerting that pages on real impact, not raw thresholds.
Metrics That Actually Tell You Something Is Wrong
Prometheus is the standard for metrics collection in cloud-native environments, and Grafana is how most teams visualize them. The tools aren't the hard part — most teams can get a basic install running in an afternoon. The hard part is designing metrics, labels, and alert thresholds that actually map to what your users experience, instead of ending up with a dashboard nobody opens and alert channels everyone has muted.
We build Prometheus Grafana implementation work around SLOs and the handful of signals that genuinely predict user-facing problems. That means proper instrumentation, sane label cardinality from day one, dashboards built for the moment someone's actually troubleshooting an incident, and Alertmanager tuned so a page means something happened — paired with Thanos or Mimir for long-term storage so historical data survives past a few weeks.
Every threshold breach pages someone, muted channels by week two
Alerts fire on burn rate against an SLO, on-call actually responds
What We Deliver
From a clean install to SLO-driven alerting and long-retention storage that scales with your environment.
Prometheus Setup & Instrumentation
A production Prometheus consulting engagement covering exporters, service discovery, recording rules, and label hygiene from the start — so cardinality doesn't quietly become a cost and performance problem six months in.
Grafana Dashboard Development
Grafana dashboard development built around golden signals and real incident workflows — the views your team actually reaches for at 2 a.m., not a wall of graphs assembled once and never revisited.
SLOs & Alerting
Define SLIs and SLOs, then alert on error-budget burn rate rather than raw thresholds, so SLO-based alerting pages your team for things that matter and stays quiet for the rest.
Scale & Long-Term Storage
Prometheus high availability and long-term retention via Thanos or Mimir, with global query across clusters and cost-aware retention policies so keeping history doesn't blow up your storage bill.
Our Observability Engagement Process
A clear path from wherever your monitoring stands today to an alerting setup your on-call team actually trusts.
Assess
We audit your current monitoring, dashboards, and alert volume, and identify exactly where the gaps and noise are coming from.
Design
We define SLOs, metric and label structure, and an alerting model that fits your specific services, not a generic template.
Implement
We deploy the stack, instrument your services, and build the dashboards and burn-rate alerts your team will actually use.
Enable
We hand over runbooks and train your team to own their dashboards and on-call rotation with confidence.
Operate
Optional ongoing management keeps the monitoring pipeline healthy and alerting trustworthy as your environment changes.
From Raw Data to a Signal Worth Paging Someone For
We don't just turn on data collection — we shape it into something tied to actual user experience, then route it to the right person.
Instrument
Add exporters and application-level metrics, with labels structured for scale rather than guesswork.
Define SLOs
Agree on the SLIs and SLOs that genuinely represent user experience for each service you're monitoring.
Visualize
Build dashboards around golden signals — the views a team reaches for under pressure, not a showcase dashboard nobody opens outside a demo.
Alert & Refine
Page on error-budget burn rate, then continuously prune alert noise so pages stay something people trust.
Metrics, Logs, and Traces — Working Together in Grafana
Real observability needs all three signal types connected, not three separate tools you have to tab between during an incident. We build the full stack so you can go from a metric spike to the exact log line and trace in one place.
Metrics
PrometheusPrometheus scrapes time-series metrics — the foundation for SLOs, dashboards, and burn-rate alerting, with Thanos or Mimir for history beyond the default retention window.
Logs
LokiLoki aggregates logs with label-based indexing, queried right alongside your metrics in Grafana so you don't lose the thread jumping between tools.
Traces
Tempo / JaegerTempo or Jaeger follow a single request across services, so a latency spike leads straight to the slow span, instrumented with OpenTelemetry.
The Observability Stack We Work With
Prometheus and Grafana at the center, integrated with tracing, logging, and long-term storage as your environment needs it.
We Design Monitoring the Way On-Call Engineers Actually Need It
Trustworthy signals, not a dashboard built to look impressive in a demo and ignored the rest of the time.
SLOs Over Vanity Metrics
We alert on user-impacting symptoms and error budgets, not CPU graphs nobody ever acts on.
Alerting Your Team Trusts
Tuned, deduplicated alerting so pages are rare, specific, and taken seriously when they happen.
Built to Scale
Label hygiene and long-term storage architecture so your metrics pipeline doesn't buckle as you grow.
We Stay Involved
Optional ongoing monitoring and incident support after go-live, not just a handover and goodbye.
Trusted by forward-thinking teams
Ready to Get
Actionable Metrics?
Talk to our SRE team about Prometheus implementation, Grafana dashboards, or managing an existing observability stack.