DevOps.com, Friday, March 13th, 2026
The Risk Profile Of AI-Driven Development
In the cloud-native ecosystem, velocity is everything. We built Kubernetes, microservices, and CI/CD pipelines to ship faster and more reliably.
more →
Back Issues/Search Home → Archive → Popular →
All sections ›
Archive ›
Vol 336 · Issue 2
DevOps.com — Archive · Vol 336 Issue 2
8 articles that week
DevOps.com, Friday, March 13th, 2026
Survey: AI Coding Exacerbates Existing DevOps Workflow Issues
A global survey of 700 software engineering practices published this week finds that thanks to increased reliance on artificial intelligence (AI) coding tools, well over a third (35%) are either achieving daily or more frequent product deployments, with 36% deploying software multiple times per week. However, more than half (51%) also noted AI-generated code leads to deployment problems at least half the time.
more → DevOps.com, Thursday, March 12th, 2026
Zero Downtime Multicloud Migrations For Observability Control Planes
Most platform teams aren't deciding whether they'll run across multiple clouds. They already are, or they'll be soon. The real question is how to migrate critical systems without turning on-call into a guessing game.
more → DevOps.com, Thursday, March 12th, 2026
Sorry, Charlie, StarKist Wants AI With Good Taste
If you are of a certain age, you remember the old StarKist commercials. Charlie the Tuna would swim up proudly announcing that he had 'good taste.' The StarKist fisherman would shake his head and deliver the punchline: Sorry, Charlie, StarKist wants tuna that tastes good. Meaning they didn't want tunas with good taste, only ones that tasted good.
more → DevOps.com, Thursday, March 12th, 2026
AI Is Forcing DevOps Teams To Rethink Observability Data Management
As AI coding tools accelerate software delivery, they are also intensifying a problem DevOps and SRE teams have been dealing with for years: the unchecked growth of observability data.
more → DevOps.com, Tuesday, March 10th, 2026
Report: Lower Performing Software Engineering Teams Benefit More From AI
An analysis of 2,000 organizations worldwide finds that historically lower performing software engineering teams are seeing nearly a 50% improvement in lead time to delivery, a four times greater rate of improvement over higher performing teams that have adopted AI coding tools.
more → DevOps.com, Monday, March 9th, 2026
Low-Code's New Frontier: Tailored Solutions For Each Industry
For years, most low-code platforms have focused on one primary challenge: efficiency. The goal was to help teams build applications faster and with less effort, reducing manual coding, speeding up iterations, empowering non-developers, and enabling apps to be created in just a few clicks. That focus delivered real value, but it's no longer enough.
more → DevOps.com, Monday, March 9th, 2026
How We Got Here: Alert Fatigue To Decision Fatigue
Operations teams have been battling alert fatigue for a very long time now. We saw monitoring systems multiply while cloud-native architectures increased system complexity. Every new microservice, dependency, and API introduced another stream of signals for folks to contend with.
more →