Generate Missing Runtime
Evidence On Demand
Lightrun AI SRE inspects live execution state at the exact line of code without redeploying, to extract production ground truth.
Replace incomplete telemetry
with verified execution data
Lightrun captures live execution state at the line of code, enabling fast, precise engineering without redeploy cycles.
Inspect execution at
the failure point
Access live variables, parameters, and code paths at the exact location where anomalies occur.
Trace cross-service
interactions
Proactively follow requests flows across services, APIs, queues, and databases under live traffic.
Validate assumptions
without redeploying
Test hypotheses against production behavior safely, without adding logs or triggering redeploy cycles.
The runtime context engine
Lightrun adds dynamic, read-only instrumentation to running services
to generate runtime evidence at any line of code.
Extract intelligence
at the line level
Collect live variable values, full stack traces, branch paths, and dependency interactions at the exact moment code executes under real production load.
Trace complex
system interactions
Observe how logic interacts with downstream APIs, databases, and third-party services at runtime to confirm architecture against reality.
Safe, sandboxed
read-only research
Investigations run in an isolated environment to prevent side effects or code change, ensuring enterprise-grade control in sensitive and regulated environments.
What on-demand runtime evidence
makes possible
Every decision, whether made by human or AI agent, must be grounded in verified production truth.
Prrove root causes
from live state
Access real execution state at the failure point so RCA is grounded in observed behavior, not reconstructed logs.
Design changes
from observed behavior
Base design and mitigation decisions on actual runtime state, data conditions, and dependency behavior.
Validate recovery
against execution truth
Define the exact metrics, logs, and behaviors that must normalize to confirm the fix worked.