Find comprehensive tutorials for instrumenting your apps, and then using Lightstep for common use cases in root cause analysis, performance enhancement, debugging errors, monitoring, and integrating with popular third-party apps.
Get started with Lightstep by sending metric data from Datadog, instrumenting your services with OpenTelemetry, and seeing how Change Intelligence uses both to perform root cause analysis.
Use Lightstep's Change Intelligence to find the root cause when alerted to a deviation in your metrics.
Learn how to migrate your metric and trace data from Datadog to Lightstep.
Learn how to find the cause of a latency increase using Lightstep's Service Health view.
Learn how to find the cause of an error rate increase using Lightstep's Service Health view.
Use Lightstep to monitor service performance after a deployment to catch regressions quickly.
Learn how to improve your incident response capabilities using high-cardinality attributes in your instrumentation, creating alerts, and configuring Workflow Links.
Use the Lightstep Pre-Deploy Check in your GitHub Action workflow to determine the health of your entire system before a deploy.
Use the Lightstep Services Change Report to bring observability data into your CI/CD workflow without having to leave GitHub.
Use an OpenTelemetry-based plugin to automatically instrument AWS service API Calls from your Node.js service, and see their performance in Lightstep.
Use an OpeTelemetry-based plugin to integrate feature flag data from your Node.js service into Lightstep.
Use an OpeTelemetry-based plugin to integrate Rollbar data from your Node.js service into Lightstep.
Use Lightstep and Gremlin to create chaos experiments automatically using observability data found in Lightstep.
Learn how to integrate Lightstep with Codefresh to monitor and if needed, rollback your deployments.