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The latest News and Information on Observabilty for complex systems and related technologies.

Flowing with Your Code: How Lightrun's Dynamic Traces Help Debug Complex Application Flows

Debugging software, whether during development or incident investigation, often begins with a manual and error-prone process. Developers typically scatter logs and snapshots across the codebase, allowing them to trigger multiple times. They then inspect the outputs and sift through the results to identify those relevant to the issue under investigation. Developers tend to group results that stem from the same user request or transaction.

What Is AI Autonomous Debugging? A Deep Dive into the Future of Software Troubleshooting

In the fast-paced world of software development, debugging remains one of the most time-consuming and complex tasks for engineers. Modern observability tools that use logs, metrics, and traces help developers gain insights into system behavior, but they still require manual effort to identify and fix issues.

Enhancing Observability with the OTEL Framework and Virtana

In today’s rapidly evolving technological landscape, observability has become essential for supporting robust, efficient systems. According to Gartner’s report “Preparing for the Future of Observability” from September 2024, OpenTelemetry (OTEL) is emerging as the standard framework for collecting telemetry data across different application pipelines.

Generating Calculated Fields From Natural Language

If you’ve been using Honeycomb for a bit, you know that Calculated Fields (otherwise known as derived columns) are a powerful way to transform your events to a format that’s easier to query and understand. However, they use a lisp-esque language that can be difficult to read and a pain to write. If you dislike making Calculated Fields and want something a little easier, here’s a generative AI prompt that can generate them from natural language.

The Need for Full-Stack Observability

In a recent survey, it was discovered that 57% of software developers’ time is spent in meetings resolving performance problems rather than innovating software solutions. The culprit? A lack of full-stack observability. Without the right tools, IT teams are left playing a high-stakes game of “Guess That Outage” – leading to delayed response to critical incidents and excessive time spent in intense meetings focused on these incidents and their root cause.