The AI-Native Engineering
Reliability Platform
The Lightrun platform connects development, production, and AI systems on a live
runtime context foundation built for scale, security, and operational control.
Trust your software.
See how it actually runs.
Systems fail under real inputs and scale. Lightrun provides live runtime context into
how code behaves across every environment.
Every environment Dev, QA, staging, production. Validate behavior where it actually runs.
Every architecture Kubernetes, serverless, monoliths. Instrument without modifying deployments.
Every pipeline See CI failures and flaky tests with dynamic runtime telemetry.
Safe. Secure. Enterprise ready.
Sandboxed investigations
Telemetry runs outside application execution paths. No redeploys. No thread pauses. No disruption.
Secure by design
Automatic redaction ensures instrumentation never exposes sensitive, protected data.
Enterprise governance
RBAC, SSO, and full audit trails enforce controlled access, deployment, and usage across teams.
Generate runtime evidence in live systems
AI agents and engineers can inject dynamic logs, snapshots, metrics, and traces directly into running services without code changes or redeployments.
Dynamic Logs
Add structured logs to live services in seconds. Capture the exact data needed to understand failures without modifying source code.
Snapshots
Capture variable state and execution context at the line of failure without pausing threads or interrupting application flow.
Runtime Metrics and Traces
Create targeted metrics and follow execution paths across distributed systems in real time to isolate failures and validate behavior.
The remediation flow of tomorrow
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Reduce MTTR with live,
context-rich investigations -
Lower observability costs by
reducing noisy data loads -
Ship with confidence by validating behavior and performance before production
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Protect production stability and data privacy, even under incident pressure
Generate runtime evidence in live systems
AI agents and engineers can inject dynamic logs, snapshots, metrics, and traces directly into running services
without code changes or redeployments.
Get instant runtime clarity
See real system behavior live and understand issues by capturing the actual conditions behind a failure instead of relying on reproductions or guesswork.
Validate behavior in real environments
Resolve issues in the environment where they occur without redeploying and accelerate debugging and validation.
- Remote runtime context for AI copilots
- Real-time debugging
- Dependency and feature validation
Strengthen releases with runtime insights
Use live runtime data to refine signals, capture patterns that tests miss, and strengthen the reliability of every new release.
- Dynamic telemetry (Logs, Metrics, Traces, Snapshots)
- Code level insights