Grafana specialists for your dedicated team.

When Grafana needs more than a few dashboards.

Grafana is easy to start and hard to keep tidy. After two years there are three hundred dashboards, five that people trust, and the authors of the rest have moved on. A specialist turns that pile back into a tool.

The need grows with the number of data sources. Metrics sit in Prometheus or Mimir, logs in Loki, traces in Tempo and business numbers in PostgreSQL. An incident view has to bring them onto one screen, with the same time range and the same variables.

Upgrades are another trigger. Grafana 11 removed the legacy alerting system and Grafana 12 removed support for AngularJS plugins. Old alert rules and old panels have to be migrated before a server can move up.

What our Grafana developers build in a sprint.

• Service dashboards One dashboard per service built on traffic, errors, latency and saturation, with template variables for environment and region.
• Dashboards as code Moving dashboards out of the UI and into Git, provisioned from JSON files or the Grafana Terraform provider. A change is then reviewed like any other pull request.
• Alert rules Rebuilding alerts in Grafana Alerting with contact points and notification policies, routed to Slack or PagerDuty by team and severity.
• Slow panel fixes Replacing heavy PromQL in panels with Prometheus recording rules, so a 30-day view loads in seconds.
• Load test views Streaming k6 or JMeter results into Grafana beside the server metrics for the same minutes, so a performance tester sees cause and effect together.
• Clean-ups Archiving dashboards that have no owner and sorting the rest into team folders with clear permissions.

Grafana is rarely a full-time job on its own. The site reliability and DevOps engineers we assign own it as one part of your dedicated cloud and DevOps team. They work in your Grafana and your data sources with the access you give them, and they're managed by us day to day.

Why Grafana setups stop being trusted.

A dashboard built to show everything answers no question. A good one starts from something an engineer asks during an incident: is checkout failing, and since when? Six panels that answer it beat sixty that don't.

Alerts on causes wake people for nothing. CPU at 90% is fine while users are served, and a rising error rate is a problem at any CPU level. A good engineer alerts on what users feel and keeps the machine metrics for diagnosis.

Dashboards edited by hand in production drift. Someone fixes a query at 3am, the provisioned file overwrites it on the next deploy, and the fix is gone. Making Git the only place where dashboards change ends that.

Grafana questions from buyers.

• Grafana Cloud or self-hosted: does it change who we need? A little. On Grafana Cloud the engineer spends the time on dashboards, alerts and the cost of metrics and logs. Self-hosting adds upgrades, plugins, authentication and the storage behind Loki, Tempo or Mimir, which is real platform work.
• Can a Grafana developer also set up the monitoring behind it? They should. A dashboard is only as good as the metrics under it. The same engineer normally handles Prometheus exporters, OpenTelemetry instrumentation and log labels as well.
• Should we hire a Grafana developer or a site reliability engineer? In most teams it's the same person. Tell us what you run and what hurts, and we recruit an engineer whose daily tools include Grafana. The monthly fee is fixed and includes the office, the equipment, the training and the management around that engineer.