This video showcases how with Lightrun developer observability platform, developers can leverage the AI debugger within the platform plugin to swiftly identify critical code level issues through automated hypothesis and insertion of debugging actions at runtime (Lightrun dynamic logs, virtual breakpoints (Snapshots) and more. That helps reduce MTTR to mere minutes.

This is a demonstration of the Lightrun extension for Microsoft Visual Studio IDE showing how developers can easily debug their.NET applications at runtime directly form their IDEs.

In this insightful webinar hosted by Lightrun and moderated by Eran Kinsbruner, global head of product marketing and best-selling author in the software development space we delved into the latest developments in software development and performance, focusing on the recent Google DORA report. In the first segment of the webinar, Nathen Harvey and Amanda Lewis from Google Cloud's DORA team provided a comprehensive overview of the latest report's findings, highlighting the emerging emphasis on Performance and Reliability in the industry.

This video outlines the Lightrun management server. It explains the various features and components of the server including user management and administration, platform security features, troubleshooting actions monitoring and management, log management and much more.

In this tutorial, we explore how to create and use tagging and custom sources as part of your troubleshooting strategy across complex remote and distributed workload applications.

In this demo we show how easy and fast it is to run through an entire source code project scan and identify the low quality static logs that are candidates to be omitted and replaced with dynamic logs. Lightrun LogOptimizer empowers developers to take action and be accountable for their logging costs.

In this demo video we show how developers can shift left observability and debug in runtime an EKS cluster from their IDE. The demo shows how developers can debug a remote Java application that is deployed on 3 different EKS pods (Dev, Staging, Production) directly from their IntelliJ IDE in runtime and add logs and snapshots.

In this demo we show case how using Chronosphere platform and Lightrun dynamic observability at runtime, developers can easily troubleshoot and resolve complex issues across cloud native applications.

In this demo we show how developers can easily create a Metric action directly from the IntelliJ IDE for a distributed Java application and pipe the Metric data to IBM's Instana platform for further analysis and actionable consumption.

In this video we demonstrate how to troubleshoot an AWS Lambda servereless application with Lightrun by placing a virtual breakpoint (snapshot) and observing its output within the Lightrun IDE plugin.