Operations | Monitoring | ITSM | DevOps | Cloud

Microsoft Offers 60,000 Employees Buyouts. Here's the AI Problem.

Microsoft is offering voluntary buyouts to 60,000 employees—more than a quarter of its workforce—while investing billions into AI infrastructure. But here's the bigger question: What happens when experienced engineers leave and AI-generated code keeps accelerating? AI can write code faster than ever. But deploying it safely, securely, and at scale? That's becoming the real bottleneck. Is Microsoft funding AI with headcount instead of efficiency?

What Does AI Need to Know Before You Trust It? | AI SREDo you like this personality?

AI can make decisions. But can it make the right ones across your entire IT environment? For enterprise SRE teams, trustworthy AI requires three things: operational context, institutional memory, and guardrails. Without them, autonomous action becomes a risk instead of an advantage. In our latest webinar, we explore what it takes to bring AI SRE capabilities to enterprise scale.

How much does it cost to train an AI model? Frontier figures, graded [2026]

Training an AI model costs anywhere from a few hundred dollars to several hundred million, depending entirely on what “train” means. Fine-tuning an existing model: tens to thousands of dollars. Pretraining a small model from scratch: tens of thousands to millions. A frontier run in 2026: hundreds of millions, with Epoch AI projecting the largest runs will pass $1 billion by 2027.

Agentic SOC Tools 2026 Buyer's Guide

As we write this in Q4 2026, the agentic SOC solution market consists of a very complex array of products. Solutions being sold as "agentic SOC" include standalone AI SOC analysts, agentic SOAR platforms, AI agents embedded in SIEM/XDR products, and managed SOC services using autonomous agents. This makes the buying landscape complex, to say the least. This guide covers the key factors to consider when evaluating agentic SOC tools and provides a concise overview of the leading solutions to help you narrow down your shortlist.

Was Saudi Arabia Secretly Listening to OpenAI's Biggest Secrets?

A hidden recording device. A former OpenAI engineer. And a possible connection to the Saudi government. What started as a suspicious discovery behind a television inside OpenAI has turned into a federal investigation with potential national security implications. The FBI is investigating whether former OpenAI engineer Abdulrahman Alfozan was involved in corporate espionage, with prosecutors pointing to alleged connections to a member of the Saudi royal family.

Microsoft Has a Bigger Problem Than Anyone Realizes

Microsoft just released over 1,400 security patches, including three zero-day vulnerabilities, one of which is already being exploited. But is this a sign of better security or a much bigger problem? In this ShipTalk discussion, we break down Microsoft's massive Patch Tuesday release, the challenges of managing thousands of vulnerabilities across enterprise environments, and whether AI is helping Microsoft find problems too late in the software development process.

Shipped: Slice AI spend eight ways in AI Explorer

You can already break down cloud spend by team, product, or customer in Explorer. But AI spend has been harder to decompose. Which models is each team running? What activity is driving the cost growth you saw this month? Before AI Explorer, answering those questions meant exporting raw event data and building your own breakdowns, or waiting days for reconciled billing to land in Explorer.

AI Can Write Infinite Code. But Can We Ship It Safely?

AI is making code generation faster than ever. But writing code is only half the battle. Neil Watkins from Burns & McDonnell explains why the next big challenge in AI-driven software development isn't generating more code. It's making sure that code can be tested, secured, and deployed safely. As AI accelerates development, businesses need to rethink how they manage risk and ship software with confidence.

A walkthrough of a root cause analysis with ilert AI SRE

It's 3am and a complaint has made its way to you: customers can't see product reviews. Nothing has crashed, and no alert points anywhere useful. Somewhere in your stack one service is failing, and the one showing the error is probably not it. Before you can fix anything you have to find it, and that search is most of your night. Now imagine you open the laptop, type one sentence and go grab a coffee. By the time you’re back, the root cause is ready, evidence attached. Your job is to check it.