Operations | Monitoring | ITSM | DevOps | Cloud

The Runbook Problem: How AURA Documents What Teams Don't Have Time to Write

Runbooks are rarely missing because teams don't value them. They're usually missing because incident response, follow-up, and platform work compete for the same limited time. By the time an issue is resolved, the knowledge is fresh, but the window to document it is already closing. That gap creates familiar failure modes: over-reliance on senior engineers, slower handoffs, and less confidence for whoever is on call next.

Unlocking Security Potential for AI: Introducing the Harness WAAP MCP Server | Harness Blog

Security teams face overwhelming amounts of data and complex interfaces, making it hard to access critical insights. AI tools promise solutions, but integration remains difficult as time ticks away and leadership wants the latest data to inform risk decisions. Most security platforms lack seamless integration, slowing access to important data and hindering AI-powered workflows.

Tech Talk | AI Agents in O11y Cloud

Transform reactive incident response with Splunk’s troubleshooting agents, designed to drastically reduce mean time to identify and resolve issues. This session demonstrates how a multi-agent approach empowers teams of all skill levels to pinpoint root causes, prioritize issues by business impact, and prevent future outages. Tech Talk sessions offer insightful and valuable deep-dives for any technical practitioner.

Why Your Website's FAQ Page Is Failing Visitors And How AI Search Can Fix It

Your FAQ page should be your hardest-working asset, but it's probably doing the opposite. Instead of guiding visitors, it's slowing them down. People land there with simple questions, face cluttered layouts or outdated answers, and leave without clarity. That frustration doesn't just hurt user experience; it quietly impacts conversions, trust, and even your search visibility. The good news? You don't need a full redesign to fix it. Most FAQ issues come down to relevance, structure, and how easily answers can be found. When those three things break, everything else follows.

7 AI productivity lessons from the CTO of Superhuman

Most companies have built AI into their product by now, and many consider it the central feature of what they’re building. But plenty of those same companies are still figuring out how to get their own engineering teams to actually use AI tools day to day. When Loïc Houssier joined Superhuman as CTO in early 2025, his team was in that exact spot. The company had been shipping AI email features for years, but internal adoption of AI dev tools was still early.

AI Enablement for Dev Teams: The 6-Pillar Flywheel

AI adoption is already happening on your team, whether you have a strategy or not. Tracy Lee (CEO of This Dot Labs, Microsoft MVP, Google Developer Expert) breaks down the AI Enablement Flywheel — a 6-pillar framework used by successful engineering organizations to move from scattered experimentation to scalable, ROI-positive AI workflows.

Rovo Chat in Bitbucket now understands your Pipelines

Why did your build fail? Ask Rovo, get a clear answer, and even a way to fix it, from anywhere in Bitbucket Pipeline debugging is one of the most common and most painful parts of the development workflow. In our Atlassian research: AI adoption is rising, but friction persists, over 50% of developers reported losing more than 10 hours each week searching for information, onboarding to new code, or toggling between apps.

AI Didn't Change the Game, It Just Exposed Your Bottlenecks w/ Ganesh Datta (CTO, Cortex)

Every engineering org says they want to improve reliability — but most can't even agree on what "good" looks like. Ganesh Datta, Co-Founder and CTO of Cortex, has spent the better part of a decade helping companies confront that gap.

Every engineering org is taking an AI readiness test right now

Tamar Bercovici has been at Box for 15 years. She leads the core platform, the backend layer that storage, search, metadata, and AI capabilities all run on. When her systems go down, Box goes down. On a recent episode of the Braintrust podcast, she said the debate around AI-generated code tends to focus on whether the models will write clean code and/or introduce bugs. Tamar's focus is somewhere else entirely.