Lightrun provides a developer observability platform that enables real-time instrumentation of logs, metrics, and traces directly from the IDE without requiring code changes or redeployments. This technology allows developers to debug production code efficiently, reducing mean time to resolution (MTTR) by up to 60% and enhancing overall productivity.
Funding
$48M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Debugging production code often requires redeployments to add logs, metrics, or traces, which is time-consuming and disruptive. Traditional methods lack real-time insights into application behavior without code changes.
Solution
Lightrun provides a developer observability platform that enables real-time instrumentation of logs, metrics, and traces directly from the IDE, without requiring code changes or redeployments. Developers can dynamically insert logs and capture snapshots of heap or logs at any line of code. The platform supports debugging monoliths, microservices, Kubernetes, CI, serverless, and more, offering visibility across replicas, regions, or entire clouds. Lightrun integrates with popular IDEs, tools, pipelines, workflows, and cloud platforms, allowing developers to debug production code efficiently and reduce mean time to resolution (MTTR).
Target Audience
Lightrun is designed for developers, team leads, engineering executives, DevOps engineers, and SREs who need to troubleshoot production issues, optimize logging costs, and improve developer productivity.
Features
- Dynamic instrumentation of logs, traces, and metrics in real-time
- No code changes, redeployments, or restarts needed
- IDE plugin for VSCode, JetBrains, and Visual Studio
- Support for JVM languages (Java, Scala, Kotlin), Node.js (including TypeScript), Python, and .NET (C# and F#)
- Integrations with observability tools like Datadog, Prometheus, and Slack
- Support for architectures such as Kubernetes, serverless, and feature flags
- LogOptimizer to scan code for log-related issues
- Runtime Reachability Assessment to track loaded software in runtime
- REST API and CLI for automation and integration
- Role-Based Access Control (RBAC) and PII Redaction for data security