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Metrics

Metrics brings all of your monitoring data together in a unified hosted environment, enabling you to detect signs of problems early, minimize their impact through automated actions, and quickly find and fix their root cause. By aggregating all the data you collect--be it with commercial, open source or custom-built tools--Metrics provides you with a single and uniform way for storing, visualizing, analyzing, correlating, and responding to what's happening in your operation. Its ease of use and stunning graphs make it both easier and more fun to safeguard the availability and performance of your applications. Since Metrics was developed from the ground up as a platform with an "API's first" approach, you can easily embed it in your SaaS or PaaS product to let your customers monitor their use of your services and possibly some of their own metrics.

Features:

  • Collect data using Metrics' library of collectors and connectors to popular open source monitors
  • Add your own custom data collectors using Metrics' APIs
  • Redundant storage of all monitoring data
  • Visualization of real-time and historic data
  • Sampling intervals down to one second.
  • Data retention more than one year
  • Set thresholds to trigger alerts and tie them to service hooks (email, Campfire, PagerDuty, custom web hooks, etc.)
  • Custom graphs for correlation between data streams from different sources
  • Customizable dashboards
  • All product features accessible through RESTful APIs
  • Monitor usage
  • Embeddable at any level through the repository, including graphs and dashboards

Benefits:

  • Rapid detection of unusual situations
  • Fast root cause analysis and problem resolution with high resolution data and correlation features
  • Single uniform environment for data from multiple sources (open source and commercial tools, application-specific custom collectors)
  • Flexible monitoring solutions
  • No up-front investments or infrastructure required (SaaS deployment model)
  • Simple and affordable pricing and business model
Mon, 20 May 2013 11:48:35 -0500 - http://www.softlayer.com/partners/marketplace/metrics