This paper outlines the core challenges associated with troubleshooting Legacy applications. From longer build time to inefficient CI/CD pipelines and complex dependencies, developers need a more sustainable method to debug legacy code directly from the IDEs and agnostic to the runtime language or deployment environments.

Key Takeways Include:

• Key challenges in debugging legacy applications
• What are the business implications with today’s debugging of legacy code?
• What are the main benefits a developer observability can provide developers in debugging such applications

The post How to Debug Legacy Applications 5x Faster with Developer Observability and Lightrun appeared first on Lightrun.

This paper provides an overview of the rise of generative AI code generation tools together with their benefits and challenges, and articulates how dynamic observability helps address the challenges around debugging code generated defects.

Key Takeways Include:

• Highlights of the trends around generative AI tools and the reason for these trends
• Core challenges specific to debugging code generated defects in the era of cloud-native and distributed applications.
• Adopt and benefit from developer observability as a recommended practice to debug in runtime Gen-AI code generated issues.

The post Key Benefits of Pairing Generative AI Tools with Developer Observability appeared first on Lightrun.

This paper provides an innovative practice around CVE remediation through the use of dynamic observability and Lightrun. It covers the practice of adding conditional logs and snapshots in live application path to detect reachability and risks from open-source 3rd party security vulnerabilities.

Key Takeaways Include:

• ~90% Reduction in false positives
• Dynamic observability enables shift-left of DevSecOps
• Looking at application runtime path and different customer environments help prioritize CVEs

The post Ensuring Reachability and Remediating Vulnerabilities at Runtime 5X Faster with Lightrun appeared first on Lightrun.

This report details the results of applying Lightrun’s proprietary Logging Cost Reduction Playbook – which uses Lightrun’s Dynamic Logging capabilities – with a major Lightrun customer: a leading fintech company.

Read the report to learn how to log only what you need, when you need by replacing static logs with Lightrun’s dynamic logs –  while saving on logging costs, improving developer productivity, and reducing MTTR on the way.

Key Takeways Include:

• 60% reduction in overall logging volumes
• 40% reduction in overall logging costs
• Significant Improvements in developer productivity and MTTR

The post Cutting Back on Your Logging Costs with Lightrun and Dynamic Logging – a Report appeared first on Lightrun.

This study details the results of composite, cross-vertical case studies where using Lightrun’s Developer Observability Platform was linked to increased ROI, decreased MTTR, and increased developer productivity.

Key Takeways Include:

• $3.87M saved via developer productivity improvements
• $1.64M increased revenue due to lower MTTR
• 763.9% 3-year ROI after implementing Lightrun

The post Lightrun’s Economic Impact on Enterprise Logging & Observability Costs – a Study appeared first on Lightrun.

• Shift left observability and enable developers to troubleshoot their remote and distributed applications in runtime (No hot fixes, no redeployments needed)
• Reduce mean time to resolution (MTTR) for complex issues by over 60%
• Lower your overall telemetry data costs (Logs, Metrics)
• Enhance your developers productivity

The post Shifting Left Observability with Lightrun and Chronosphere – Solution Brief appeared first on Lightrun.

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The post IBM Instana and Lightrun Dynamic Observability Platform – Solution Brief appeared first on Lightrun.

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