Operations | Monitoring | ITSM | DevOps | Cloud

Using AI + Rollbar's Session Replay to Understand Complex Errors

Front‑end bugs are notoriously hard to reproduce. By the time an error shows up in your monitoring tool, the most important context is already gone: *what the user actually did*. By letting an AI agent like Copilot analyze Rollbar's session replay data directly, teams can move from *“something broke”* to *“here’s exactly why it broke”* in minutes, not hours.

Bitbucket: The Next Generation | Bitbucket | Atlassian

Today’s software development landscape is changing rapidly with the rise of AI, and Atlassian is reimagining how Bitbucket empowers teams to thrive in this new era. We’ve invested deeply to take Bitbucket to the next level, helping developers and leaders alike ship quality code faster, improve productivity, and collaborate seamlessly. Join us as we share all the exciting new innovations we’ve recently launched, as well as what we’re building for the future, including Data Residency. We’ll cover.

How to use AI to analyze and visualize CAN data with Grafana Assistant

Note: A version of this post originally appeared on the CSS Electronics blog. Martin Falch, co-owner and head of sales and marketing at CSS Electronics, is an expert on CAN bus data. Martin works closely with end users, typically OEM engineers, across diverse industries, including automotive, maritime, and industrial. He is passionate about data visualization and AI—and he’s been working extensively with Grafana Assistant.

JWT Rot: Why Traffic Replay Tests Expire #speedscale #jwt #trafficreplay #apitesting #testautomation

Are your traffic replay tests crumbling because of expired tokens? You've got JWT Rot! When recording production traffic for integration or load testing, the embedded JSON Web Tokens (JWTs) often have a short expiration date. Once those tokens expire, your entire test suite fails, rendering your valuable traffic snapshots useless. Stop wasting time re-recording traffic. Learn how to defeat JWT Rot and ensure your security and API tests run reliably every time!

How to use Gremlin's Reliability Report

Modern applications can easily include hundreds of discrete services, all of which need to be reliable in order for the application to function correctly. While running tests on a handful of critical services can lead to small reliability improvements, real impact requires testing and increased reliability visibility across your entire organization. That’s the logic behind the new, improved Reliability Reports within Gremlin.

AI Reliability, Part 2: When the Datacenter Becomes the Bottleneck

In Part 1, we talked about all the hidden complexity inside AI systems: the pipelines, GPUs, embeddings, vector databases, orchestration layers, and everything else that quietly determines how reliable an AI-first product really is. But all of that software still rests on something far less glamorous: the physical infrastructure underneath it.