Operations | Monitoring | ITSM | DevOps | Cloud

Modern IT environments generate more data than ever. Every application request, user login, network connection, cloud workload and endpoint action produces signals that can help teams understand what is happening across the business. Yet having more data has not necessarily made organizations more secure, more reliable, or easier to operate.

Back to Basics: AEM Fundamentals | Part 1 of 5 The market is rushing toward autonomous endpoint management. But most of the conversation skips past the infrastructure and jumps straight to the outcomes. The market is loud, the promises are bold, and the buyers who got burned before are now the ones asking the hardest questions. They don't need another feature list. They need to know what's actually underneath the claims. IT teams have heard this story before.

94% of engineering leaders say their AI metrics are missing. Here's how platform engineering is changing to close that gap. Based on the InfoQ webinar "Platform Engineering in the Age of AI," featuring panelists from Harness, DKB, and Shine, August 18, 2026. 94% of engineering leaders say the AI metrics that matter most to them are missing.

Based on the LeadDev panel discussion "Governance Is the Platform Problem Worth Solving," hosted in partnership with Harness, August 5, 2026. AI agents are no longer waiting for a human to approve their next move. They open pull requests, adjust configurations, and act on behalf of the people who deployed them — often faster than any review cycle can keep up.

Language servers give editors structured, real-time feedback: diagnostics, hover docs, autocomplete, and other guidance that would otherwise surface later. Language servers already exist for many of the languages and tools developers use every day, but Claude Code doesn’t automatically receive their feedback.

AI log analysis helps IT teams turn massive volumes of operational data into actionable insight. By applying statistical methods, machine learning (ML), semantic analysis, and generative AI, organizations can identify unusual behavior, connect related signals, and investigate probable root causes faster. But AI-generated answers should not be mistaken for proof.

Comparisons of SAP observability tools often evaluate which platforms can see inside SAP.Today, that’s nearly all of them. Dynatrace, Datadog, New Relic and Splunk can all get SAP telemetry. None of them are likely the best choice for an SAP-centric application, and we will document why. The questions teams evaluating SAP observability solutions should consider: That last one is where most of these platforms stop, and it is the difference between observability and operations.

Wondering what the big deal is with Black Friday? And why does every business on earth seem to be obsessed with the quasi-holiday? Or are you just looking for great deals? Black Friday has become a sort of global cultural institution. Everyone knows about it, some look forward to it, and a few go crazy for the big day. It may be hard to believe, but Black Friday hasn't always been a thing, and it's actually a relatively recent development.