Gain deep insights across your stack, and fully populate your dashboard in less than five minutes.
Use open source agents (e.g. StatsD and Heka) and language bindings (e.g. Java, Ruby, and Python).
Distill your raw data into valuable insights using mathematical transforms and composite metrics.
Create elegant graphs to expose correlations and emergent behavior. Overlay events to add context.
Set alerts on multiple metrics and calculations. Send alerts using email, webhooks, PagerDuty, and more.
Pay only for what you monitor based on metric instances and resolution; metered by the hour.
Full programmatic API access to data collection, dashboard creation, alert configuration, and more.
Focus on your most important numbers while also providing trending information and alerting thresholds.
Strengthen your team's ability to collaborate with shareable dashboards and one-click snapshots.
Define mathematical transformations to perform on a selection of native metrics or time series.
Monitor native Heroku metrics and app performance. It's fast and easy.
Aggregate fine-grained measurements sent to the Librato API into a single summary metric.
Submit measurements with customized tags to dynamically filter and group data (e.g., by cloud regions, instance types, availability zones, instance IDs, custom tags, etc.).
Fine tune the resolution of your metrics from five to 300+ seconds.
Compare the past to the present. Easily track disparities between the same metrics over days or weeks.
"Having an ecosystem within the app is priceless. No need to build and maintain things, vet new libraries for alerting ... Librato is plug and play, and about as sane as you can get with implementing a metrics monitoring system."
"SaaS products often present issues that are confusing and make little sense. Librato is not like that - we love it because it is easy and intuitive to work with."
"Librato is one of the key tools we use as part of our production operations. It's mission critical to our team."
"We use Librato to aggregate all our metrics in one place and provide more detail about how everything’s performing - how often we’re running jobs, whether or not certain external services are responding in time."