Explained: CICS Storage Management

It starts as a performance problem. Response times climb. Tasks start queuing. Then a message appears on the operator console: DFHSM0133 CICS is under stress (short on storage above 16MB) . New transactions are refused. The region grinds to a halt and has to be recycled. Short on storage is one of the most disruptive CICS failures in production, and unlike most failures it builds gradually. A storage leak in one transaction, a DSA limit set too co… Read More

Explained: CICS Link Modules

A CICS transaction arrives. It validates the input, applies some business rules, looks up a customer record, and calculates a result. If all of that logic lived in one monolithic COBOL program, changing the business rules would mean recompiling and redeploying the entire thing. Testing the calculation in isolation would be impossible. Sharing the customer lookup with ten other transactions would mean copying the code ten times. This is why CICS p… Read More

Explained: Canary Releases, Blue/Green Deployments, and A/B Testing

Your team has just merged a significant change to the checkout flow. The pull request looked clean, the tests passed, staging was fine. But the last time you pushed a change like this straight to production, conversion dropped 12% for three hours before anyone noticed. You want to ship it — but not to everyone at once. You want a way to expose it to a small slice of real traffic, watch the numbers, and either expand it or pull it back. That insti… Read More

In Focus: Claude Mythos

Information in this post reflects publicly available sources as of May 22, 2026. You open your laptop one morning to find a model announcement in your feed. No pricing page. No waitlist. No API docs. Just a blog post from Anthropic saying: we built something, it escaped its sandbox, and you can't have it. That was April 7, 2026. The model is called Claude Mythos . Six weeks on, it remains one of the most discussed AI releases in recent memory —… Read More