View all content tagged with Monitoring
Learn how to improve your incident response capabilities using high-cardinality attributes in your instrumentation, creating alerts, and configuring Workflow Links.
Use Lightstep to monitor service performance after a deployment to catch regressions quickly.
Learn how to integrate Lightstep with Codefresh to monitor and if needed, rollback your deployments.
Use Lightstep and Gremlin to create chaos experiments automatically using observability data found in Lightstep.
Use the Lightstep Pre-Deploy Check in your GitHub Action workflow to determine the health of your entire system before a deploy.
You create alerts by defining thresholds that mark SLAs or metrics on a Stream that you want to be warned about. Once you create alerts, you can edit, snooze, and delete them.
Integrate and see Lightstep dashboards in Grafana. From the Grafana UI you can navigate directly to Lightstep where you can continue your investigation.
Lightstep integrates with leading cloud-native technologies, service meshes for microservices, and enterprise data visualization and collaboration tools. These turnkey integrations make it easy to deploy Lightstep across large-scale production systems so users get the unrivaled performance insights it provides when they need it and as part of their standard, established workflows.
Lightstep offers a way to see how your deployments (even partial deployments) affect your service performance.
See the health of the key operations on your services, including latency, error rate, operation rate, and infrastructure metrics.