Prometheus is an open-source monitoring and alerting system for collecting, storing, querying and analyzing metrics, with built-in time-series database and query language
Monitoring allows for a continuous data stream of system status and insights to be arranged in a user-friendly method that is easy to interpret.
Monitoring tools are a cornerstone process for any healthy software development project, as it can prompt messages to account for potential errors, warnings or problems to be aware of in a timely manner.
Using Prometheus in your project can provide many benefits:
- Prometheus allows for real-time monitoring of systems and services, enabling quick identification and resolution of issues
- Prometheus' built-in time-series database and query language allows for powerful querying and analysis of metrics, providing valuable insights into system performance
- It supports multiple data sources, making it a versatile tool for monitoring a wide range of systems and services
- Prometheus' alerting capabilities allow for automated incident response, reducing the need for manual intervention
- It is a highly scalable tool, capable of handling a large number of metrics and queries with minimal performance impact
- Prometheus is open-source and actively developed, with a large and supportive community providing regular updates and enhancements
- Prometheus is written in Go, which is well-suited for running in a containerized environment, making it easy to deploy and manage
Some of our past experiences working with Prometheus include:
- Deployed Prometheus on Kubernetes using Helm
- Used GCP's managed Prometheus service
- Created CPU, Memory, Disk, Network, and other application-metrics alerts using AlertManager
- Built elaborate queries using PromQL in order to analyze the systems being monitored
- Created elaborate Grafana Dashboards based on data from Prometheus