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Grafana Dashboard Development
Dashboards and alerting that answer specific operational questions, across metrics, logs and business data.
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What Grafana is
Grafana is an open-source visualisation and alerting tool. It does not store data itself; it connects to data sources such as Prometheus, Loki, Elasticsearch, PostgreSQL and cloud monitoring services, and lets you query and chart them together.
The value is in the dashboards being useful. A good one answers a question, such as whether the service is healthy, where latency is coming from or whether a deploy changed behaviour. A bad one is a wall of charts nobody can interpret under pressure.
It is part of the stack we use ourselves for monitoring, alongside the other tools we reach for, and we apply the same design discipline to client dashboards.
Suitability
And when it is not. Choosing the wrong tool costs more than any implementation detail.
Good fit for
- Teams that need one place to look at metrics, logs and database figures from different systems
- Service health and incident dashboards, including a view that on-call engineers can read quickly
- Business or operational dashboards built directly from a SQL database alongside technical metrics
- Organisations that want an open, self-hostable alternative to a single vendor observability suite
Consider alternatives for
- Polished customer-facing analytics embedded in a product, where a purpose-built reporting layer gives you more control over design and access
- Having no underlying metrics or logging in place, since Grafana visualises data and cannot create it
- Complex ad hoc analysis by non-technical staff, where a BI tool is usually friendlier
In practice
01
Service health dashboards
A small set of signals, such as request rate, errors and latency, laid out so a problem is visible within seconds.
02
Alerting with context
Alert rules that link to the relevant dashboard and carry enough information to start diagnosing from the notification.
03
Dashboards as code
Dashboards and data sources provisioned from version control, so they are reviewed, reproducible and not lost with one instance.
Considerations
Practical notes from running this in production.
- 01
Dashboards drift into clutter. Give each one an owner and a purpose, and delete the ones nobody opens.
- 02
Query cost is real. A dashboard that refreshes frequently across wide time ranges can load your data source heavily.
- 03
Access control needs thought. Data sources can expose sensitive tables, so permissions per team and per source matter.
- 04
Editing dashboards in the UI on a live instance makes them irreproducible. Provisioning from files avoids that.
FAQ
Grafana or Kibana?
Kibana is tightly coupled to Elasticsearch. Grafana is broader, querying many kinds of sources in one place. If your data is mainly in Elasticsearch, Kibana is natural; for a mix of sources, Grafana is usually the better fit.
Do we need Prometheus to use Grafana?
No. Prometheus is a common source, but Grafana works with many others including SQL databases and cloud monitoring services.
Can you build dashboards from our existing database?
Yes, for operational and internal reporting. We will tell you if the requirement is really customer-facing reporting, where a different approach is usually better.
How long does a Grafana development project take?
It depends on scope. A focused first release is usually weeks rather than months, while larger platforms are delivered in phases. We give a written estimate after a short discovery conversation and agree milestones before work starts.
How is Grafana development work priced?
We work either to a fixed scope with agreed milestones or on a time-and-materials basis, whichever suits how well the requirements are known. You receive the estimate and its assumptions in writing before committing.
By industry
Where we apply Grafana. Tiles marked "Guide" open a dedicated write-up; the rest open the industry page.
Let’s talk about your Grafana project
Tell us what you are trying to build or fix. We will come back with scope, approach and an honest view on cost and timeline.