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Prometheus is the de-facto standard for metrics in cloud-native systems, and Grafana is how teams see them. But most setups drift into thousands of unread dashboards and alerts everyone has learned to ignore. The hard part isn’t installing them — it’s designing signals that map to user impact.
SquareOps builds observability around SLOs and the golden signals. We instrument your services, structure metrics and labels for scale, design dashboards people actually open, and tune Alertmanager so on-call pages on symptoms that matter — with long-term storage via Thanos or Mimir so history survives.
From a clean install to SLO-driven alerting and scalable, long-retention storage.
A production Prometheus stack and the instrumentation to feed it — exporters, service discovery, recording rules, and sane label cardinality.
Dashboards designed around user impact and the golden signals — the ones your team actually opens during an incident.
Define SLIs and SLOs, then alert on error-budget burn rate — so on-call pages on symptoms, not every transient blip.
Keep months of history and query across clusters with Thanos or Mimir, plus high availability for the metrics pipeline itself.
A clear path from a noisy, unread setup to monitoring your on-call team trusts.
We audit your current monitoring, dashboards, and alert noise, and pinpoint the gaps.
We define SLOs, metric structure, and the alerting model that fits your services.
We deploy the stack, instrument services, and build dashboards and burn-rate alerts.
We hand over runbooks and train your team to own dashboards and on-call.
Optional 24×7 managed monitoring keeps the pipeline healthy and alerts trusted.
We don’t just collect data — we shape it into signals tied to user experience and route them to the right people.
Add exporters and app metrics, with labels structured for scale and meaning.
Agree the SLIs and SLOs that represent real user experience for each service.
Build dashboards around golden signals — the views teams reach for under pressure.
Page on error-budget burn, then continuously prune noise so alerts stay trusted.
Real observability needs all three signals. We build the full stack so you can pivot from a metric spike to the exact log line and trace in one place.
Prometheus scrapes time-series metrics — the backbone of SLOs, dashboards, and burn-rate alerting, with long-term storage when you need history.
Loki aggregates logs cheaply with label-based indexing, queried right next to your metrics in Grafana so you find the cause without switching tools.
Tempo and Jaeger follow a request across services, so you pivot from a latency spike straight to the slow span — with OpenTelemetry instrumentation.
Get a free observability assessment. We’ll review your current monitoring and show where SLO-driven alerting can cut noise and catch issues earlier.
Book a Free Observability AssessmentSquareOps runs monitoring and on-call for platforms across SaaS, fintech, and energy — with Prometheus and Grafana at the core.
Replaced threshold spam with burn-rate alerts tied to SLOs, so on-call only wakes for issues that affect users.
Added Thanos for global query and long retention, so teams can investigate trends and incidents weeks later.
Consolidated metrics from multiple clusters into Grafana golden-signal dashboards provisioned entirely as code.
"A very skilled team, nice and professional. We got clear deadlines with goals. Really recommend these guys — they are professionals."
Prometheus and Grafana at the center, integrated with tracing, logs, and long-term storage.
We carry the pager. That means we design monitoring the way on-call engineers need it — trustworthy signals, not dashboard theatre.
We alert on user-impacting symptoms and error budgets — not CPU graphs nobody acts on.
Tuned, deduplicated alerting so pages are rare, actionable, and trusted by the team.
Label hygiene and Thanos/Mimir so your metrics pipeline doesn’t fall over as you grow.
Optional 24×7 monitoring and incident response under a 99.95% SLA, not just a handover.
Common questions about Prometheus, Grafana, and observability consulting.
Talk to a SquareOps SRE about your services, your SLOs, and turning dashboard sprawl into a signal your on-call actually relies on.
Talk to an Observability Engineer