DevOps.com

During my doctoral research on modern engineering practices and operational efficiency, one pattern kept surfacing that I did not expect to find. The engineering teams making the most measurable progress on sustainability were not the ones that had appointed green committees. They were the ones running tight DevOps discipline: right-sized fleets, lean pipelines, tuned alertin...

A familiar pattern is emerging in observability conversations.

As telemetry volumes grow and costs rise, the default recommendation is often to collect less data: Sample more, retain less, index selectively, filter earlier, and reduce cardinality until the economics become manageable.

Some of this is reasonable. No system benefits from unlimited accumulation wit...

For a long time, monitoring just meant staring at dashboards and waiting for something to flash red. Engineers tracked things like CPU usage, memory, response times, error rates, and uptime. If a number crossed a certain line, you’d get an alert. Then, someone dived in to figure out what was wrong.

That basic approach isn’t useless, but it’s just not enough anymore. To...

The software industry has heard plenty about how artificial intelligence will transform software development. Analysts have analyzed it. Consultants have built practices around it. Vendors have attached AI to just about every product description they could find.

It is a little different when the message comes from one of the companies building the AI responsible for th...

JFrog CEO Shlomi Ben Haim told approximately 500 software engineers today that in the age of artificial intelligence (AI) no one will soon care much about source code anymore.

Speaking at the company’s swampUP 2026 conference, Ben Haim said AI tools are now creating executable binaries...