Start using Lightstep Observability by sending metric data, instrumenting your services, and then use that data in Lightstep Observability for root cause analysis and to monitor performance.
Get started with Lightstep Observability by sending metric data from AWS, instrumenting your services with OpenTelemetry, and seeing how Change Intelligence uses both to perform root cause analysis.
You can send metric data to Lightstep Observability from many different sources.
Get started with OpenTelemetry and Lightstep Observability using the OpenTelemetry Demo app to see data in Lightstep quickly.
Lightstep Observability has a number of tools that help you in all your observability flows, whether it's continual monitoring, triaging an incident, root cause analysis, or managing your team's observability practices.
Learn how to query your metric and span data in Lightstep Observability using either the Unified Query Builder or using the editor with UQL.
Learn how metrics, tracing, Microsatellites, the SaaS platform, and the web UI work to analyze 100 percent of unsampled transaction data from distributed, deep systems to produce complete end-to-end traces and robust metrics that explain performance behaviors and accelerate root cause analysis.
Distributed tracing provides a view of the life of a request as it travels across multiple hosts and services communicating over various protocols. With distributed tracing implemented, you have a window into performance at every step in the request.
You can create notebooks for ad-hoc queries, post-mortems, runbooks, collaboration, or anytime you want to keep a record of an investigation.
Use Lightstep Observability's Change Intelligence to find the root cause when alerted to a deviation in your metrics.
Learn how to find the cause of a latency increase using Lightstep Observability's Service Health view.