Prometheus

Prometheus is an open-source monitoring system designed for reliability and scalability, featuring a dimensional data model that organizes time series using metric names and key-value pairs. It offers flexible querying through PromQL, supports efficient local storage, and integrates with visualization tools like Grafana. With built-in alerting, numerous client libraries, and extensive third-party integrations, Prometheus operates independently and is easy to deploy.

Founded in	2012
Location	🇸🇪 Sweden
Founders	Julius Volz

Features

Plans

No free plan available for this product.

No paid plan available for this product.

Refund Policy

Prometheus is an open-source project and does not sell products or services, so it does not have a refund policy.

Ratings

g2(4.4/5)

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capterra(4.3/5)

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Ai Opinion

✦

AI Rating(4/5)

Based on reviews from various sources, prometheus.io earns a 4/5 stars rating.

What users like:
- Robust metrics collection and scraping capabilities[1].
- Seamless integration with Grafana for detailed visualizations[1].
- Extensive integrations, APIs, and libraries supporting multiple languages[1].
- Scalable and flexible nature, suitable for cloud environments[1].
- Open-source nature providing reliability, flexibility, and scalability[1].
- Useful for monitoring Kubernetes deployments and microservices[1].
- Simple configuration and operation[2][3].

What users don't like:
- Can be challenging to manage at scale due to single-node architecture[2].
- Limited support for logs and durable long-term storage[5].
- No automatic horizontal scaling and user management[5].
- Complex setup for large deployments[5].

Conclusion:
Prometheus is a powerful tool for monitoring metrics, but its scalability and management can be complex.

Expert Opinion

✎

Expert Rating(4.5/5)

I recently tested Prometheus, an open-source monitoring and alerting platform designed for time-series data. Here is my detailed review:

Prometheus excels with its highly dimensional data model, allowing users to organize and analyze time-series data through metric names and key-value pairs. Its flexibility is further enhanced by PromQL, a powerful query language that enables slicing and dicing of collected data to generate graphs, tables, and alerts. This makes it a robust tool for monitoring complex systems and extracting actionable insights.

One of the standout features of Prometheus is its independence and reliability. Each server operates autonomously, relying only on local storage, which reduces dependencies and ensures high availability. The platform is written in Go, making the binaries lightweight, statically linked, and easy to deploy across environments. Additionally, its seamless integration with Grafana for visualization adds significant value by offering advanced dashboards for data representation.

The alerting system in Prometheus is another highlight. Alerts are defined using PromQL and retain dimensional information, allowing for precise notifications. The Alertmanager component efficiently handles notifications, grouping, silencing, and routing them to appropriate channels. For developers, the availability of client libraries in over ten programming languages makes it easy to instrument applications and extend functionality.

However, Prometheus does have a learning curve due to its advanced features and the complexity of setting up custom metrics or queries. Beginners might find it challenging initially without prior experience in monitoring tools or time-series databases. Additionally, while local storage ensures reliability, it may not be suitable for long-term data retention without external storage solutions.

In conclusion, Prometheus is a powerful and versatile monitoring solution that caters to the needs of modern cloud-native environments. Its open-source nature, coupled with strong community support, makes it an excellent choice for organizations seeking a scalable and reliable monitoring system. While it may require some expertise to fully leverage its capabilities, the benefits far outweigh the challenges.