Reduce Observability Costs
with Runtime Precision
Always-on telemetry creates noise, cost, but leaves blind spots.
Lightrun lets engineers generate precise runtime signals on demand.
I’m investigating. I’ll start with runbooks and then correlate telemetry with the deployment and downstream behavior.
From the deployment window:rnrnu003cimg class=u0022alignnone size-full wp-image-8327u0022 src=u0022https://lightrun.com/wp-content/uploads/2026/01/image-183.jpgu0022 alt=u0022u0022 width=u0022266u0022 height=u0022184u0022 /u003ernrnu0026nbsp;rnrn502 rate jumped from ~0.2% to ~6.9%rnaffected routes: /checkout, /users/{id}rnrnTwo hypotheses:rnu003cul role=u0022listu0022u003ern tu003cliu003eupstream timeouts caused by a latency regressionu003c/liu003ern tu003cliu003egateway config regression affecting request forwardingu003c/liu003ernu003c/ulu003ernI’m missing request-level state at the failure point. Capturing runtime evidence for failing requests only.rntarget: service:api-gateway env:prod actions: -type:snapshot where: file:GatewayHandler.go line:208 conditions: -u0022statusCode == 502u0022 captures: -u0022routeu0022 -u0022upstreamHostu0022 -u0022timeoutMsu0022 -u0022headers[‘authorization’]u0022 -u0022erroru0022
Runtime snapshots show:rnu003cul role=u0022listu0022u003ern tu003cliu003eupstream timeouts set to 1000ms (previously 3000ms)u003c/liu003ern tu003cliu003eauthorization header missing on affected routesu003c/liu003ern tu003cliu003eupstream returns 401, mapped to 502 at the gatewayu003c/liu003ernu003c/ulu003ernConfig diff from the deployment confirms it.rnrnu003cimg class=u0022alignnone size-medium wp-image-8328u0022 src=u0022https://lightrun.com/wp-content/uploads/2026/01/image-184-235×300.jpgu0022 alt=u0022u0022 width=u0022235u0022 height=u0022300u0022 /u003ernrnRuntime snapshots show:rnu003cul role=u0022listu0022u003ern tu003cliu003eupstream timeouts set to 1000ms (previously 3000ms)u003c/liu003ern tu003cliu003eauthorization header missing on affected routesu003c/liu003ern tu003cliu003eupstream returns 401, mapped to 502 at the gatewayu003c/liu003ernu003c/ulu003e
Config diff from the deployment confirms it.rnrnu003cimg class=u0022alignnone size-medium wp-image-8329u0022 src=u0022https://lightrun.com/wp-content/uploads/2026/01/image-183-1-300×84.jpgu0022 alt=u0022u0022 width=u0022300u0022 height=u002284u0022 /u003ernrnRoot cause identified: gateway config regression.rnRecommended fix:rnu003cul role=u0022listu0022u003ern tu003cliu003erestore authorization header forwardingu003c/liu003ern tu003cliu003erevert timeout to 3000msu003c/liu003ernu003c/ulu003ernExpected outcome: 502s drop below baseline within minutes.
Always-on telemetry creates waste.
Precision telemetry removes it.
Harness high-signal telemetry by adding dynamic, ephemeral logs and traces into running software.
Dynamic data
precision
Inject dynamic logs around an incident’s site surface that disappear after diagnosis to keep data footprint lean.
High-fidelity
context
Gain richer insights capturing snapshots of full variable states and stack traces to deliver maximum context with minimal overhead
Intelligent signal
boosting
Tune out noise by prioritizing high-value signals so your team can focus on actionable insights while staying compliant.
Engineers stay in control
Telemetry is controlled at runtime by engineers. Visibility stays high while costs remain predictable.
Get full visibility
with lower overheads
Lightrun uses dynamic instrumentation to provide Runtime Context on key areas of investigation, delivering clarity without broad-spectrum logging.
Reduce reliance
on static logging
End the need to add costly logs into every deployment. Lightrun injects instrumentation on-demand, keeping your static costs fixed, even as system complexity grows.
Run efficient investigations
across environments
Lightrun captures logs, traces, and snapshots through a unified runtime pipeline across QA, staging, and production, reducing duplication while preserving governance.
Engineered for production scale
Built for safe, controlled runtime instrumentation across every environment.
Full audit trail
Every injection, snapshot, and rnAI action is logged for accountability.
Lightrun Sandbox
On-demand, read-only execution with u003cstrongu003esnapshot isolationu003c/strongu003e, without impact on production systems.
No vendor lock-in
Works across all the platforms, tools, and environments in your team’s stack.
Run anywhere
Run across Kubernetes, serverless, u003cstrongu003eon-premu003c/strongu003e, and bare metal, from canary to production.
Adaptive prompt library
Prompts that are grounded in live runtime context, adapting to situations, not static workflows.
Works where you do
Accessible within each platforms your team already uses.
Strict governance
Control access with SSO, SAML, and RBAC to govern runtime evidence creation across environments.
OurCrowd reduced MTTR for business-criticalrnu003c/bru003eincidents by 70%
Taboola reclaimed 260+ hours of monthly engineering rnu003cbru003ecapacity by eliminating manual reproduction
Drata accelerated incident response velocity by 30% while u003cbru003emaintaining strict compliance standards.
Enterprise-grade security
Built to meet enterprise security and compliance standards, with full access controls.
