Operations | Monitoring | ITSM | DevOps | Cloud

AI agents are nondeterministic, multi-step, and opaque. When one fails in production, "the model said something weird" is the cheapest, most useless line in your incident postmortem. To debug agents the way they actually run, you need telemetry that captures all of it, in order, with enough context to reconstruct what happened. The OpenTelemetry GenAI Semantic Conventions give you a vendor-neutral way to do exactly that.

New research reveals why Australian businesses are entering the new financial year with bigger AI budgets and the same unsolved problem. One in three Australian businesses exceeded their AI budget last year. Yet, half of them plan to increase AI spending again this year. Yet the behaviour that caused those budget overruns remains largely unaddressed.

Why do 40% of alerts received by security teams today go completely uninvestigated? It’s not due to a lack of concern but instead caused by shortening attack windows and compounded by overwhelming tech sprawl. Today’s security teams are operating in a threat landscape defined by escalating attacks, tighter budgets and mounting alert fatigue. Organizations process an average of 960 security alerts per day, and large enterprises handle more than 3,000 daily alerts across roughly 30 tools.

In the world of enterprise Agile, we face a persistent paradox: How do we empower individual teams to establish their own unique processes, while ensuring leadership maintains a clear, consistent view of the entire organization’s progress? For a long time, the answer was a compromise.

From a redesigned navigation and the new ilert Marketplace to dynamic service mapping and on-prem alert delivery, here's everything that's shipped across this quarter.

The staging bottleneck: why your framework needs ephemeral preview environments There's a specific kind of Friday afternoon that frontend and backend developers both recognize. A feature is ready to test. Staging is occupied. Someone else pushed a half-finished migration to the shared database last Tuesday and it's been "almost fixed" ever since. You either wait or you merge blind and hope. Most teams treat this as a scheduling problem. It isn't. It's an architecture problem.

We rebuilt docs.cloudzero.com from the ground up. The result is a documentation site organized around what you’re trying to accomplish rather than feature names and jargon.

On June 3, Let’s Encrypt announced that the post-quantum web is going to run on something called Merkle Tree Certificates. The internet did what it does and turned this into a doomsday Q-Day countdown. The quantum computers are coming, your certificates are about to break, panic! Unlike every other security vendor, I’m not worried about quantum computers. But the announcement is still worth your attention. Just not for the reason you’ve been told.

Databricks built the most capable AI platform the enterprise has ever seen at Data and AI Summit 2026. The data on who actually earns a return from it tells a more sobering story. Here is what changed at the summit, and what it means for leaders already on the platform. Ten minutes into the Data + AI Summit 2026 keynote, Ali Ghodsi, CEO of Databricks, said something most enterprise leaders were not prepared to hear: AGI is already here.

Incident investigations take so long not because the fix is hard, but because finding the right fix is. Most engineers spend 20 to 60 minutes just understanding what’s wrong before they can act, not fixing anything, just trying to see the full picture. The framework that changes this has four steps: Orient, Isolate, Hypothesize, and Verify, and the order matters more than the tools.