Last updated: 2026-07-01
Lightrun is an AI SRE platform that adds live logs, snapshots, and metrics to running production apps without redeployment, now with autonomous incident remediation.
Lightrun is an AI SRE platform that injects live logs, snapshots, and performance metrics into running production applications without redeployment or restart, reducing mean time to resolution from hours to minutes. Autonomous Incident Detection monitors services continuously and triggers self-healing actions for common failure patterns across Java, Python, Node.js, and .NET environments.
Lightrun is an AI-native reliability engineering platform that enables developers and AI agents to autonomously prevent and remediate software issues across the SDLC. At its core is a Runtime Context Engine that instruments live production applications at the line-of-code level — adding dynamic logs, snapshots, and metrics without restarts or redeployments. In 2026, Lightrun expanded beyond developer observability into a full AI SRE platform, recognized in the Gartner Market Guide for AI Site Reliability Engineering Tooling. Its patented Sandbox allows safe interaction with production environments, enabling the AI to generate missing runtime evidence on demand, validate hypotheses against live execution data, and prove root cause analyses before fixes are deployed. Lightrun also offers Debug0, an AI debugging agent that resolves complex issues across integration, QA, staging, and production environments. The platform supports monoliths, microservices, Kubernetes, Docker Swarm, ECS, serverless, and Big Data workers. Enterprise customers include AT&T, Citi, Microsoft, Salesforce, UnitedHealth Group, SAP, ICE/NYSE, ADP, HPE, and Booking Holdings.
Free tier available. Team and Enterprise plans use usage-based pricing (contact sales for quotes).
Lightrun is an AI SRE (site reliability engineering) platform built by Lightrun Ltd, an Israeli company founded in 2019 and based in Tel Aviv. It lets developers inject logs, snapshots, and metrics into a live production application without restarting or redeploying it, then layers an AI Runtime Context Engine on top that generates missing telemetry on demand and connects AI reasoning directly to that live evidence. Lightrun raised a $70 million Series B in April 2025 led by Insight Partners and Accel, bringing total funding to around $115 million, with Citigroup among its investors. Fortune 500 customers include AT&T, Citi, Salesforce, SAP, and Microsoft. The platform supports Java, Python, Node.js, and .NET across monoliths, microservices, Kubernetes, Docker Swarm, ECS, and serverless deployments.
Lightrun offers a Free plan for individual developers to try dynamic instrumentation on a limited scale, with no monthly fee. The Team plan moves to usage-based pricing billed per user and per environment, and third-party pricing trackers list an entry point around $1,440 per year (roughly $120/month) for a Pro/Teams package, though Lightrun's sales team quotes final numbers based on agent and user counts. Enterprise pricing is fully custom and covers single-tenant SaaS, private AWS cloud, or fully air-gapped on-premise deployments, typically requiring a quote for around 200 agents and 50 users as a starting point. There is no published self-serve checkout for paid tiers as of June 2026; both Team and Enterprise require contacting sales.
Lightrun positions itself as the only AI SRE platform that connects AI reasoning directly to live runtime context instead of relying solely on pre-captured telemetry. Its Runtime Context Engine can generate missing logs, metrics, and traces on demand inside a running service and validate proposed fixes against live execution data under real traffic, rather than waiting for an engineer to redeploy with extra instrumentation. The Debug0 AI agent then uses that fresh evidence to resolve issues across integration, QA, staging, and production environments. Most competitors such as Datadog and Dynatrace focus on aggregating telemetry that already exists; Lightrun's differentiator is generating new, targeted evidence from inside the live process itself, with G2 reviewers specifically praising the ability to add dynamic logs without a restart.
Datadog is a broad observability and monitoring platform covering infrastructure metrics, APM, logs, and security across an entire stack, with extensive dashboards and alerting built for ops teams. Lightrun is narrower and developer-focused: it specializes in injecting new logs, snapshots, and metrics into a specific running application on demand, then using AI to investigate and remediate issues with that fresh runtime evidence. Reviewers note Datadog requires more upfront configuration to get full value, while Lightrun integrates into the IDE with minimal setup and pairs well as a debugging companion alongside Datadog rather than replacing it. Lightrun connects to Datadog, New Relic, Dynatrace, Splunk, AppDynamics, Elastic, Prometheus, Sentry, and Slack, so many teams run both: Datadog for fleet-wide monitoring and Lightrun for targeted live debugging and AI-driven root cause analysis.
Yes, Lightrun has a Free plan listed at $0 per month that lets individual developers add dynamic logs, snapshots, and metrics to a running application without a credit card. The free tier is aimed at evaluating the core dynamic instrumentation workflow on a small scale, such as a personal project or a single service, before committing to a paid plan. Once a team needs broader coverage across multiple environments, more users, or the AI SRE and Debug0 agent features for autonomous incident detection and remediation, they move to the Team plan, which is usage-based per user and environment, or to Enterprise for air-gapped and single-tenant deployments. As of June 2026 there is no published self-serve upgrade price; Team and Enterprise both require a sales conversation.
Lightrun is best for engineering teams at mid-size and large companies running production Java, Python, Node.js, or .NET services who need to debug live issues without redeploying, especially regulated organizations like banks and telcos (customers include AT&T, Citi, and Salesforce) that cannot easily push hotfixes for diagnostics. It is also a fit for SRE and platform teams that want AI-assisted root cause analysis tied to live runtime evidence rather than static dashboards. Small teams or solo developers with simple deployments may find the Free plan useful for occasional debugging but won't need the full AI SRE layer. Teams looking for a single all-in-one monitoring and alerting suite, rather than a targeted live-debugging companion, may be better served starting with a broader platform like Datadog and adding Lightrun later for deep production debugging.
No, this is Lightrun's core capability: it adds dynamic logs, snapshots, and performance metrics to a live, running production application at any line of code without a restart or redeployment. Engineers set a virtual breakpoint or log line directly from their IDE, and Lightrun's agent captures the requested data from the live process and streams it back, typically within seconds. This works across deployment models including monoliths, microservices, Kubernetes, Docker Swarm, ECS, serverless functions, and Big Data workers. G2 reviewers list this as the most praised feature of the platform. The tradeoff, noted in reviews, is that agent configuration can be complex to set up initially and the agent itself adds some resource overhead to the host process, so teams should test agent footprint on non-critical services first.
Lightrun's agent runs inside the customer's own environment (cloud, on-prem, or air-gapped) and the data it captures, such as log lines, snapshots, and metrics, flows according to the deployment model the customer chooses. The Enterprise tier specifically offers single-tenant SaaS, private AWS cloud, and fully air-gapped on-premise options for organizations such as banks that cannot allow application data to leave their network, which is why Citi and other regulated enterprises are customers. Lightrun's listed data licensing is proprietary, and the platform holds SOC-style enterprise compliance expected of vendors serving Fortune 500 financial and telecom companies, though specific certifications should be confirmed directly with Lightrun's security documentation for the latest attestations as of June 2026.
AI SRE platform that adds live logs, snapshots and metrics to running production apps without redeployment — now with autonomous incident detection and remediation.
Lightrun · Free tier available