Lightrun
Enhance debugging and monitoring in real-time, seamlessly.

About
Lightrun offers a real-time debugging and monitoring platform that enables engineering teams to troubleshoot production systems without downtime. Developers can inject logs, metrics, and traces into running applications directly from their preferred IDE. This interactive process accelerates how quickly teams identify the root causes of problems, helping maintain high service availability even when issues arise.
The system is designed to operate safely in live environments, ensuring minimal impact on application performance while providing developers immediate insight into production behavior. Support for popular development tools makes integration straightforward, and strong security features address enterprise data protection needs.
By eliminating the need to restart or redeploy software just to capture new debugging data, Lightrun removes significant delays from the typical issue investigation workflow. Teams can operate more efficiently, avoid extended outages, and streamline collaboration during critical problem-solving tasks.
Who is Lightrun made for?
The primary users of Lightrun are software developers and engineering teams who manage and maintain complex applications, particularly in production or high-stakes environments. Companies that deploy their software across multiple environments—such as SaaS providers, enterprise IT departments, and technology startups—are most likely to derive significant value from this tool.
Lightrun directly addresses the needs of engineers needing to troubleshoot bugs, performance issues, or unexpected system behaviors in production without incurring downtime. It is also valuable for technical leads or IT operations managers who are responsible for ensuring system reliability and uptime.
The platform is best suited for teams supporting mission-critical applications where rapid response and minimal disruption are priorities. Organizations that wish to reduce time-to-resolution for incidents and decrease operational costs associated with traditional debugging workflows will find it especially beneficial.