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Prometheus
Open-source monitoring system with time series database
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About Prometheus
Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud. It collects and stores metrics as time series data, providing a multidimensional data model, flexible query language, and efficient storage.
Key Features
- Multi-dimensional time series data model
- PromQL query language
- Pull-based metrics collection
- Service discovery integration
- Alerting with Alertmanager
- Efficient storage and compression
- Rich ecosystem of exporters
- Grafana integration for visualization
Use Cases
- Infrastructure monitoring
- Application performance monitoring
- Kubernetes cluster monitoring
- Microservices observability
- DevOps metrics collection
- SRE and reliability engineering
- Custom business metrics
- Alert and incident management
Prometheus alternatives
- InfluxDB
- TimescaleDB
- OpenTSDB
- VictoriaMetrics
Guides covering Prometheus
Self-Hosted Developer Tools in 2026: A Realistic Guide
What to self-host, what to leave in the cloud, and the boring foundations — reverse proxy, backups, updates — that decide whether your stack survives its first year.
9 min readObservability in 2026: Grafana vs Datadog vs Self-Hosted Open Source
Grafana, Datadog, and the self-hosted OSS stack solve the same problem with very different cost and operations models. A practical comparison of architecture, pricing shape, and what actually drives your bill.
9 min readGetting Started with Kubernetes: A Beginner's Guide
Learn Kubernetes from first principles: what the control loop actually does, the objects you need on day one, a production-shaped first deployment, and an honest look at when you shouldn't use it at all.
10 min read
Tags
- metrics
- time-series
- monitoring
- alerting
- open-source
- kubernetes