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
Monitoring of distributed systems calls for powerful tooling capable of dealing with ephemeral infrastructure. Contemporary...
Introduction The AppOptics APM and infrastructure monitoring SaaS runs on Amazon Web Services (AWS). Our...
Introduction On January 4th, a subset of measurements for several Librato and AppOptics time-series aggregation...
Introduction On January 3, 2018, the Meltdown and Spectre CPU architecture flaws were announced to...
As our ReTracers close out their duties as real-time distributed tracers of the AWS re:Invent...
For today’s installment of #TraceMyDay, it would only be appropriate to supplement our bottleneck reporting...
It’s the first official day of AWS re:Invent 2017, and our ReTracers were live on...
CloudWatch offers easy access to metrics that serve as a basis for understanding your cloud...
At Librato, we like using AWS Cloudwatch, Amazon’s monitoring system, but find that it falls...
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