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Prometheus

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Software Status:Active

About Prometheus

Prometheus is a monitoring software from Prometheus Authors that provides metrics and monitoring for the systems and services. It combines a dimensional data model, a flexible query language, and an efficient time series database so users can effectively monitor cloud-native environments. Prometheus is open-source, supporting community governance and ensuring transparency in development. It includes modern alerting features to notify users of important incidents. The tool is designed to gather metrics from configured targets at specified intervals, allowing for comprehensive data analysis. Key capabilities: dimensional data model flexible query language efficient time series database modern alerting open-source governance Best for: DevOps teams that need to monitor the performance of cloud-native applications and infrastructure.

Prometheus Details

Vendor
Prometheus Authors
Year Launched
2012
Location
1 Letterman Drive, San Francisco, CA 94129, US
Deployment
cloud, on premise, windows, linux
Training Options
documentation
Countries Served
All Countries
Languages
English, French, German, Spanish, Italian, Portuguese, Japanese, Korean, Chinese
Users
DevOps Engineers, SRE (Site Reliability Engineers), Cloud Architect, System Administrator, Platform Engineers
Industries Served
Technology & Software Development, Cloud Service Providers, DevOps & SRE Teams, Telecom, Financial Services, E-commerce, Healthcar
Tags
Database Monitoring, Prometheus

Prometheus's In-App Market Place

Does Prometheus have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NOK (kr), INR (₹)

Pros & Cons

  • Open-source and cost-effective with strong community support.
  • Integrates seamlessly with Grafana for rich visual dashboards.
  • Flexible data model and powerful PromQL query language.
  • Scales well for cloud-native and containerized environments.
  • Supports alerting and monitoring across diverse systems.
  • Steep learning curve for setup and PromQL usage.
  • Limited built-in long-term storage and clustering capabilities.
  • UI is basic and relies on external tools for visualization.
  • Requires manual configuration for service discovery and exporters.
  • Performance can degrade with high cardinality or large-scale deployments.

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