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Kubernetes Deployment Validation in Two Minutes

Kubernetes Deployment Validation in Two Minutes

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Sai Joshitha Kathari joins Alan Shimel to explain how embedding pod-readiness and workload-health checks in Jenkins reduced her Kubernetes deployment ...
Kubernetes and AI Put FinOps Cost Allocation to the Test

Kubernetes and AI Put FinOps Cost Allocation to the Test

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Yasmin Rajabi joins Alan Shimel to examine accurate Kubernetes chargeback, the cost of AI agents and GPUs, and the controls ...

LATEST FROM DEVOPS.COM

Amazon has issued new guidelines for its software engineers that discourage excessive use of AI tools simply to boost productivity metrics, signaling a shift in how the company evaluates AI’s contribution to software development. The guidelines address tokenmaxxing, a practice in which employees use huge volumes of AI tokens to demonstrate their use of the […] [...]

Mistral has released the weights for its 1-trillion-parameter Mistral Large 4 model, delivering significant improvements in agentic coding and vulnerability discovery. With competitive benchmark results, lower token consumption and flexible deployment options, the French AI developer is making a stronger case for open-weight models as DevOps teams confront rising AI development costs. [...]

Measuring developer productivity by AI token consumption risks higher costs, bloated code and misleading performance metrics. [...]