Operations | Monitoring | ITSM | DevOps | Cloud

The U.S. government has cataloged over 1,700 active AI use cases, and nearly 90% of federal agencies are already using or planning to use AI. The European Commission has disclosed nearly 1,500 AI use cases across EU member states. With over 3,200 combined AI use cases cataloged across the US and EU, public sector IT leaders face an identical roadblock: traditional application delivery controllers were not designed to parse or throttle Layer 7 LLM payloads, leading to backend GPU exhaustion.

A stage-by-stage playbook for automating incident response: what to automate at detection, triage, and remediation, what to deliberately leave manual, and a checklist to run against your current setup. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

The recent mystery around Ox Alpha last week and the week before was a fun slice of what makes social media fun. The hunt for the model provider and how people did that discovery should be studied. But, this post is more about stealth models in general. You might be wondering what the phrase “stealth model” even means and if you already know, you might still be curious about why companies release stealth models.

AI gross margin is what remains of SaaS profitability after inference, model routing, and AI infrastructure land in cost of revenue. The numbers have moved. AI products averaged 45% gross margin in 2025 and are projected near 53% in 2026, against the 70% to 85% that SaaS built its valuations on. The compression is real, measurable, and manageable for companies that can see their cost to serve.

Compare Periods launched with two display modes: Aligned and Overlay. The top request from customers was bringing back a true side-by-side view, the kind where two independent charts sit next to each other so you can compare the overall shape of each period. Split brings that back. But the team also added Delta, a new mode that shows the dollar difference between periods.

Developers and SREs who use Bitbucket Cloud often need to move between their source code, observability data, test results, and security findings to investigate a problem. Connecting an error or slow method to the correct repository, file, and commit takes time. Teams may also discover vulnerabilities, infrastructure misconfigurations, coverage regressions, or flaky tests only after code has progressed further through the software development life cycle, when remediation is more disruptive.

An application slows down every month-end. You open Hyper-V Manager, the virtual machine looks healthy, and the ticket closes without a cause. Next month it happens again. Native consoles show live state and keep no history behind it, so nobody can prove whether the fault was the guest, the host, or a storage path shared with nine other workloads. That gap sets what a Hyper-V deployment costs to run, measured in unplanned downtime and in engineering hours spent guessing. This guide covers.