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Prometheus Monitoring Development
Time-series metrics and alerting for services and infrastructure, with attention to what you collect and who gets woken up.
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What Prometheus is
Prometheus is an open-source monitoring system built around metrics. It scrapes numeric measurements from your services at regular intervals, stores them as time series, and evaluates alert rules against them. Queries are written in PromQL.
It is pull-based and designed to run inside the environment it monitors, which makes it a natural fit for Kubernetes where service discovery finds targets automatically.
It is a metrics system, not a complete observability platform. Logs and traces need other tools, and a single Prometheus server is not a long-term data store by default.
Suitability
And when it is not. Choosing the wrong tool costs more than any implementation detail.
Good fit for
- Kubernetes and container platforms, where service discovery and the exporter ecosystem are well established
- Teams that want alerts driven by service-level indicators such as error rate and latency, not just CPU and disk
- Systems needing an open, vendor-neutral metrics format they can move between backends
- Custom application metrics instrumented directly in code
Consider alternatives for
- Needing to retain years of metrics and query them across many clusters without adding a long-term storage layer
- Event or log analysis, where a log or tracing system is the correct tool
- Small, single-server setups where a hosted monitoring service is less to operate than running Prometheus and Alertmanager
In practice
01
Metrics and instrumentation design
Deciding what to measure, naming and labelling it consistently, and instrumenting the application so dashboards and alerts have something meaningful to read.
02
Alert rules and routing
Alerts on symptoms users feel, with thresholds, durations and Alertmanager routing set so on-call is paged for real problems and not for noise.
03
Scaling and retention
Planning for cardinality, federation or remote write, and a long-term storage option when the retention needs go beyond one server.
Considerations
Practical notes from running this in production.
- 01
High-cardinality labels, such as user IDs or request IDs, can exhaust memory. Cardinality is the most common way a Prometheus server falls over.
- 02
Local storage is not replicated or durable in the way a database is. Plan for long-term retention and for losing a node.
- 03
Alert fatigue is a design failure, not a tooling one. Every alert should be actionable, and ones that fire without action should be removed or retuned.
- 04
Scraping works poorly for short-lived jobs. Batch work needs a push gateway or a different pattern, used sparingly.
FAQ
Prometheus or a hosted monitoring service?
Prometheus is cost-effective and flexible when you have the capacity to run it. A hosted service trades money for less operational work. The decision usually turns on team size, data volume and retention needs.
How does Prometheus relate to Grafana?
Prometheus collects and stores metrics and fires alerts. Grafana is the visualisation layer that queries it and many other sources. They are commonly used together but are separate tools.
Do you run Prometheus in your own projects?
It is not part of the stack we run ourselves. We set it up per engagement and scope that on your platform, since the right design depends heavily on where you run.
How long does a Prometheus 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 Prometheus 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 Prometheus. Tiles marked "Guide" open a dedicated write-up; the rest open the industry page.
Let’s talk about your Prometheus 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.