View all content tagged with Monitoring
Use an OpenTelemetry-based plugin to automatically instrument AWS service API Calls from your Node.js service, and see their performance in Lightstep.
Learn how to improve your incident response capabilities using high-cardinality attributes in your instrumentation, creating alerts, and configuring Workflow Links.
Use an OpeTelemetry-based plugin to integrate feature flag data from your Node.js service into Lightstep.
Use Lightstep to monitor service performance after a deployment to catch regressions quickly.
Use Lightstep's Change Intelligence to find the root cause when alerted to a deviation in your metrics.
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 an OpeTelemetry-based plugin to integrate Rollbar data from your Node.js service into Lightstep.
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.
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.
Create alerts for your metric data. When triggered, alerts are sent to configured destinations.
Create charts for your metric data to add to your dashboards.
Create dashboards to view your metric data in Lightstep.
Use the Lightstep sidecar to collect metrics data from a Prometheus server's write-ahead log using the OpenTelemetry protocol.
Configure current metrics to report to Lightstep. You can also import existing metric dashboards into Lightstep.
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.
Follow these conventions when creating custom metrics or metric tag names.
Lightstep offers a way to see how your deployments (even partial deployments) affect your service performance.
Use Lightstep to monitor your metric data and create alerts based on thresholds set in that data.
See the health of the key operations on your services, including latency, error rate, operation rate, and infrastructure metrics.
Create Streams to view historical span and trace data and monitor your services.
You can use Lightstep to monitor important business functionality in your app. If you have defined SLAs and SLOs, you can configure Lightstep to monitor the services closest to those objectives. Lightstep can monitor performance on your key operations, and you can also monitor services and metrics and then set up alerts when a defined threshold in performance occurs.
You can send metric data to Lightstep from many different sources.