Monday, December 23, 2024

Lightrun Redefines Observability with the First GenAI Runtime Autonomous Debugger

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Lightrun is accelerating the integration of Generative AI capabilities into its developer observability platform, automating end-to-end production debugging

Lightrun, the global leader in developer observability, announced the launch of the industry’s first Runtime Autonomous AI Debugger, now available in private beta. By automating the entire debugging journey – from the initial ticket to pinpointing the exact culprit line of code in the IDE – Lightrun liberates developers from the endless cycle of troubleshooting. This innovative approach redefines observability and software debugging by saving developers from spending 50% of their time on troubleshooting, and cuts the operational MTTR of production incidents to mere minutes. Lightrun also announced that it raised an additional $18 million last year from GTM Capital and existing investors Insight Partners and Glilot Capital, bringing the company’s total funding to date to $45 million and solidifying its position as a dominant player in the observability landscape.

Building on the success Lightrun has had with its F100 enterprise customers, including Salesforce, Microsoft, AT&T, SAP, ADP, Priceline and Inditex among others, Lightrun has proven its contribution to protecting revenue, managing risks associated with production downtimes, and achieving enhanced customer experience. By preventing downtime for mission-critical applications, Lightrun is saving enterprises hundreds of millions of dollars annually.

Lightrun’s new proprietary runtime debugging GenAI model, designed to automate live production debugging, enables developers to troubleshoot production applications and reduce MTTR from days or weeks to mere minutes.

“Lightrun’s solution tackles the challenges of integrating GenAI into the software development lifecycle (SDLC). While CoPilot-like solutions have undoubtedly boosted productivity, they’ve also introduced new risks, such as code hallucinations and bugs. Lightrun’s Runtime Autonomous AI Debugger provides a safety net, ensuring that the power of GenAI can be harnessed without sacrificing code quality,” said Donald Weinstein, former CTO at ADP.

Also Read: HARMAN and Celonis Partner to Enhance Process Intelligence with AI-Powered Insights for Enterprises

How Shift Left Observability Works in the GenAI Era

Lightrun mimics and automates the existing developer workflow for troubleshooting runtime issues. This iterative process involves hypothesizing the potential root cause based on ITOps and observability signals, then adding dynamic snapshots/logs on-the-fly to specific lines of code using its dynamic observability SDK, which enables line-by-line runtime debugging. This cycle repeats until the root cause is identified. Lightrun’s proprietary runtime debugging GenAI models suggest potential root causes, validating these hypotheses with real-time production data gathered by the SDK.

“Lightrun has made significant progress in the past six months, tripling its revenues and transforming the debugging and observability workflows for some of the largest F100 enterprise customers. This transformation has enabled their popular and mission-critical applications to achieve real-time observability and debugging workflows that are operationally free and developer-native,” said Ilan Peleg, co-founder and CEO, Lightrun. “While billions have been invested the last year in IDE-based GenAI tools like Copilot for code generation, testing, and QA, GenAI-based runtime debugging in the IDE has been the missing link. Lightrun integrates seamlessly into the developer workflow—from code writing to production operation—enabling a complete, automated GenAI experience within the IDE. This integration ensures safe GenAI transformations, enhancing both code quality and MTTR.”

Native Developer Observability

Lightrun’s Developer Observability Platform enables developers to add logs, metrics and snapshots to live applications – without having to release a new version or even stop the running process. The Platform consists of three critical layers:

  • The Lightrun Client (IDE Plugin/CLI) which allows developers to add new logs, snapshots, and metrics;
  • The Lightrun SDK™ a bundled with every live application instance and is in charge
    of instrumenting the live application with new telemetry; and,
  • The Lightrun Management Server which holds the state of the system and provides an interface for administrators to configure Lightrun’s privacy and security controls.

Source: Businesswire

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