Give your teams the AI SRE built on runtime proof
Match the speed of AI-accelerated engineering, with runtime-powered validation and resolution.
Protect revenue at risk
Predictive detection and proactive remediation reduce risk and protect customer trust, avoided outage value beyond any MTTR chart.
Scale your team’s productivity
Lightrun AI SRE cuts investigation time so teams can handle rising volume and incident load, focusing on work that counts.
Ship faster, break less
Increase release velocity while reducing change failure rate, so speed and stability improve together, not at each other’s expense.
Resolve issues before they cost customer trust
See how Lightrun AI SRE turns a 6+ hour incident into an 11 minute fix.
Lightrun AI SRE
Lightrun AI SRE
Without
Lightrun AI SRE
- 10:47 Customer reports issue
- 11:23 Support creates ticket
- 12:02 Escalates to developer
- 12:48 Developer tries to reproduce
- 15:45 Reproduction fails
- 16:18 Additional context found
- 16:45 Root cause identified
- 16:45 Sent to developer to patch
Resolution time: +6 hours
With
Lightrun AI SRE
- 10:47 Customer reports issue
- 10:49 Snapshot deployed to production
- 10:51 Customer retries failed action
- 10:52 Support identifies root cause
- 10:58 Sent to developer to patch
Time to fix: 11 minutes
How can Lightrun AI SRE reduce operational risk and costs?
Lightrun AI SRE powers the reliability roadmap to deliver business, platform engineering,
and DevSecOps goals, with runtime evidence instead of guesswork.
Shorten incidents
and protect revenue
Correlate runtime signals, code, dependencies, and recent changes to accelerate root-cause analysis, catch regressions before they ship, and reduce customer impact.
Control observability costs
with targeted telemetry
Generate runtime evidence on demand instead of relying on always-on logging, so you keep full diagnostic depth without the ongoing cost.
Scale support without
increasing engineering toil
Give support teams live evidence, impact assessments, and recommended mitigations so they can resolve known issues directly or escalate with full context.
Prioritize exploitable risk
and effective mitigation
Correlate CVEs with live runtime and application context, so DevSecOps can assess exploitability, prioritize remediation, and identify effective mitigations.
“The unique solutions that Lightrun is developing dramatically impact how developers operate.”
Siris Singh, Global Head of Markets Strategic Investments
AT&T reduced Time to Resolve incidents from
5 hours to 30 minutes avoiding costly war rooms
“When it comes to priority-one tickets, customers can’t wait days for a fix. Lightrun helps us reduce that to hours, that’s a huge win for us and for our customers.”
Hood Munaim SVP, Head of Product Engineering
Priceline increased developer productivity
by 30% across workflows over 2000+ services
“Lightrun not only saved us days, if not weeks, of painstaking debugging but provided an efficient approach to tackling complex issues in production.” Tomer Glicksman, SalesForce
Taboola reclaimed 260+ hours of monthly engineering
capacity by eliminating manual reproduction
Inditex engineers used Lightrun’s live, dynamic logs and snapshots directly from their IDE to dig into a critical production issue and uncover a rounding bug quickly.
Drata accelerated incident response velocity by 30% while maintaining strict compliance standards.
Power every workflow with live runtime truth
100+ integrations, with no vendor lock-in.
Curious about how Lightrun AI SRE helps engineering leaders?
Take a look at our FAQs to learn more.
Engineering leaders reduce operational risk by connecting reliability priorities to evidence from code, telemetry, infrastructure, and live execution. Lightrun AI SRE accelerates incident investigation, identifies likely root causes and mitigations, and can generate targeted runtime telemetry, helping teams reduce investigation effort, outage exposure, and unnecessary observability spend.
MTTR measures the average time required to restore or resolve service after incidents. Operational risk is broader: it includes the likelihood, frequency, and business impact of failures, as well as the cost of responding to them. Lightrun AI SRE supports both by accelerating evidence-based investigation while helping leaders identify recurring risks and prioritize reliability investments.
Downtime costs vary by business and can include lost transactions, SLA exposure, engineering effort, delayed delivery, and customer churn. Lightrun AI SRE reduces this risk by shortening investigation cycles and replacing manual reproduction with runtime evidence. Savings should be calculated from the organization’s incident frequency, duration, revenue exposure, and response costs.
Lightrun provides enterprise governance capabilities including role-based access control, SSO, and audit logging, depending on the selected plan and configuration. AI SRE integrations use read-only, least-privilege access, and investigations and recommendations remain reviewable by users. This gives leaders traceability and control without granting the system unrestricted access to production.
Lightrun AI SRE gives teams a shared, evidence-based investigation record through Slack or the web application. It correlates runtime signals, code, dependencies, and recent changes into clear findings, impact assessments, and recommended actions, reducing repeated investigation and improving the quality of escalations and handoffs.
Lightrun AI SRE investigates incidents and recommends fixes and mitigations using read-only integrations. Engineers retain responsibility for reviewing and implementing production changes.