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Does AI Help Write Better Software, or Just… More Code?

As software teams race to integrate AI into their development workflows, we need to ask ourselves: are AI-powered tools actually making software better?

Redefining RUM: A Comparative Gap Analysis of Existing Tools

Real user monitoring (RUM) began as a straightforward approach to tracking basic web performance metrics. Focused on things like page load times and response rates, RUM relied on server-side logging and simple browser timings. While these tools captured Core Web Vitals (CWVs), they offered limited insights into how users actually interacted with pages, focused mainly on server-side performance.

Escaping the Cost/Visibility Tradeoff in Observability Platforms

For developers, understanding the performance of shipped code is crucial. Through the last decade, a tablestake function in software monitoring and observability solutions has been to save and track app metrics. Engineers love tools that get out of your way and just work, and the appeal of today’s best-in-class application performance monitoring (APM) suites lies in a seamless day zero experience with drop-in agent installs, button click integrations, and immediate metrics collection. However, the success of no-hassle metrics comes with a caveat—the internet is replete with examples of premiere application monitoring costs spiraling beyond expectations.

Honeycomb Unveils Kubernetes-Aware Observability to Solve Application Performance Mysteries

Debugging Just Got Faster and Easier With New Enhancements to BubbleUp

We’re thrilled to share that we’ve made significant enhancements to BubbleUp that will enable users to BubbleUp from more parts of the Honeycomb UI beyond heatmaps. This means users can leverage BubbleUp’s powerful pattern detection on specific groups of users or conditions beyond numeric values, such as users from a particular region, using specific devices or operating systems that are experiencing a particular error message—or are using a unique part of your application, such as a discount code. This ability dramatically accelerates the debugging workflow because you can investigate so many more combinations of factors by asking a wider range of questions about your data to uncover underlying issues in way fewer steps, all from the same UI.

How to Save on Monitoring Costs by Using Honeycomb

Are you overspending on monitoring and APM tools? Forrester’s Total Economic Impact analysis of Honeycomb identified significant ROI in customers using us to reduce spend on less efficient APM workflows. But this isn’t about…