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A decision model is a specialized AI model that evaluates inputs against predefined outcomes, returning a structured choice, classification, or score. Unlike large language models (LLMs), which handle a broad range of generative and reasoning tasks, decision models are optimized for tasks like routing requests, selecting agent actions, and evaluating AI outputs.

SharePoint has 13 communication and 10 team site templates, from Organization home to IT help desk. What each is for, how to apply one and how to make your own.

A readiness check should make a release safer. During one release validation, ours kept Kraken’s traffic replays stuck in Initializing until they timed out. The operator was asking Kubernetes for EndpointSlices. Its installed permissions did not allow that request. The code needed a real cluster, the generated permissions, and a replay trying to start before that mistake became obvious. Kraken put those pieces together during release validation.

Replay a GraphQL recording at the server that produced it, and every request comes back 200 OK. Here is one of those 200s, from a Session query whose recorded token has expired: A GraphQL server reports most failures inside a successful HTTP response, so any check that stops at the status code passes this request. And that is the second way GraphQL hides from URL-shaped tooling.

Change one field in a.proto from double to string, and nothing complains. The code compiles, the deploy goes green, and a service still built from the old contract keeps answering with a double. Here’s what Go’s protobuf runtime does when a client on the new contract reads that answer: No error. risk_score comes back empty, and the nine bytes of the double are tucked away as unknown fields.

Monitoring modernization doesn’t have to begin with a rip-and-replace project. For many IT teams, it starts with a specific need: better visibility, stronger historical context, more useful alerting, or capabilities their current tools simply don’t provide. From there, modernization can happen in stages.

Let's Encrypt is cutting its certificate lifetimes in half, from 90 days down to 45 days by 2028. If your team still has a calendar reminder that says "renew the certs," this is the nudge to finally retire it. The change isn't purely a Let's Encrypt decision. It's part of an industry-wide shift driven by the CA/Browser Forum, and every publicly trusted certificate authority is heading the same direction.

My content creator friends were eating well last week, figuratively. I would be very surprised if you didn’t hear about any of the security vulnerabilities that were disclosed last week. There were several high profile bugs that could lead to Remote Code Execution (RCE). The vulnerabilities for PHP were so widespread that governmental bodies were advising website owners to take their sites offline until they can implement the latest patches when they became available.

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.