Use Cases
Including dozens of AWS and Azure services, web, database, network, containers, orchestrations like Docker and Kubernetes, and more.
Quickly pinpoint the root cause of performance issues across the stack, down to a poor-performing line of code
Define charts, alert, and monitor side by side with out-of-the-box metrics
Dev Edition includes five traces per minute, 100 metrics, three hosts, and six containers
Reduce mean time to resolution (MTTR) by quickly jumping from a trace or host view into the relevant logs to accelerate troubleshooting
Achieve ultimate visibility and enhanced troubleshooting with synthetic and real user monitoring
Integrations
Resources
We rely heavily on Apache Cassandra as our primary data storage at Librato, using it...
Learn hands-on how to enhance the AWS CloudWatch AWS.RDS.ReadLatency metric while practicing Metrics-Driven Development - which empowers...
Test Driven Development (TDD) is not only a discipline we like to write about, we...
Graphios is the easiest way to connect Nagios to systems like Librato and Graphite. If...
We're honored to share this guest post by Mathias Meyer, founder of Travis CI. Mathias outlines...
Tired of losing resolution to the ravages of the consolidation function in your time series...
Today, we’re honored to bring you a guest post by Treasure Data’s Kiyoto Tamura. Kiyoto will walk...
StatsD is a simple, lightweight daemon process, written in Node.js (although implementations exist in several...
To help get you started down the road of deciding on collection tools for your...
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