View all content tagged with Get Started
Lightstep Observability Microsatellites are straightforward to deploy using a Docker image, AWS/AMI, or a Debian package.
Lightstep Observability offers a public shared Microsatellite pool that can help save time during development and testing. Not having to install and maintain an on-premise Microsatellite pool speeds up the initial production of meaningful traces right away.
Lightstep offers role-based access control (RBAC) to features and functionality. You can add users manually or automatically via domain allowing, authorizing any user at the domain access without an explicit invitation.
Learn how to create dashboards that can display both your metric and span data.
You can have several projects in Lightstep Observability. For example, you might have one project for your development environment and one for production. Or you may have projects for different areas of your application while they're in development.
Lightstep Observability Microsatellites are straightforward to deploy using a Docker image, AWS/AMI, or a Debian package.
It's easy to get started with Lightstep Observability. Sign up for an account, send your metric data, add OpenTelemetry instrumentation to your services, and see data flow into Lightstep Observability.
Contact Customer Success for Lightstep Observability.
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.
Lightstep Observability Microsatellites are straightforward to deploy using a Docker image, AWS/AMI, or a Debian package.
Lightstep Observability integrates with leading cloud-native technologies, metrics producers, service meshes for microservices, and enterprise data visualization and collaboration tools. These turnkey integrations make it easy to deploy Lightstep Observability 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 Observability uses *Microsatellites* to collect 100% of the performance data that your tracing instrumentation generates. Microsatellites collect spans generated by instrumented clients and servers, and then send them to Space Stations that process and temporarily store that data during trace assembly.
When you are in Developer Mode, your Satellite runs on your machine, allowing you to collect and see only data that you create locally. You can start, stop, and configure your Satellite.
Lightstep Observability Microsatellites are straightforward to deploy using a Docker image, AWS/AMI, or a Debian package.
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 Lightstep Observability handles mobile devices
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 to verify basic HTTP and gRPC connectivity to Lightstep Microsatellites.
Troubleshoot your Developer Mode Satellite in Lightstep Observability.
Data can appear incomplete or not appear in Lightstep for several reasons. Here are some troubleshooting steps for the most common causes.
Learn how your metric and trace data is retained in Lightstep and the data retention period for each.
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.
Developer Mode allows you to run a Satellite locally to view traces generated from your instrumented code as you write it. Reliable feedback helps build confidence that your code is correct, by quickly verifying your instrumentation using a console-like output.
You can use labels to tag your dashboards and alerts, making it easier to track and find the ones you need.
You can create notebooks for ad-hoc queries, post-mortems, runbooks, collaboration, or anytime you want to keep a record of an investigation.
Learn how to query your metric and span data in Lightstep Observability using the Unified Query Builder.
Lightstep Observability Microsatellites are straightforward to deploy using a Docker image, AWS/AMI, or a Debian package.
Learn what observability is and how the Lightstep Observability platform gives you deep visibility into your distributed system, pinpointing areas of regression and change.
Learn about the OpenTelemetry Collector, and how to use it to send your telemetry data to Lightstep.
Learn how to configure your OpenTelemetry Collector to send telemetry data via a web security appliance or proxy.
Lightstep Observability works with many service meshes, and Lightstep Observability + Istio is an easy way to get quick visibility into service performance and availability from the perspective of the service mesh.
Use Lightstep best practices to configure your Collector
Other information about configuring OpenTelemetry with Lightstep Observability.
Get started with OpenTelemetry and Lightstep Observability using the OpenTelemetry Demo app to see data in Lightstep quickly.
Learn about the Kubernetes Operator for OpenTelemetry Collector, and how to use it to send telemetry from k8s clusters to Lightstep.
Learn about the OpenTelemetry Collector, and how to use it to send your telemetry data to Lightstep.
Learn about the OpenTelemetry Collector, and how to use it to send your telemetry data to Lightstep.
Learn how to instrument your app for distributed tracing using OpenTelemetry and Lightstep Observability.
Learn how to configure your instrumentation or OpenTelemetry Collector to send telemetry data to Lightstep's OTLP/HTTP endpoints.
Learn how to instrument your .NET application using OpenTelemetry and then send data to Lightstep Observability.
Learn how to instrument your Go application using OpenTelemetry and then send data to Lightstep Observability.
Learn how to instrument your Java application using OpenTelemetry and then send data to Lightstep Observability.
Learn how to instrument your Node.JS application using OpenTelemetry and then send data to Lightstep Observability.
Learn how to instrument your Python application using OpenTelemetry and then send data to Lightstep Observability.
If you're currently using Zipkin for tracing, you can configure it to send that data directly to Lightstep Observability Microsatellites with little change. This is a great way to reuse your existing instrumentation architecture either directly in production or to quickly try out Lightstep Observability for the first time.
Learn about OpenTelemetry and how it can help you in your Observability journey.