A developer detailed the architecture of a production AI platform, emphasizing the integration of Kubernetes, GitOps, infrastructure as code, security, and observability. The post highlights that prod…
Kagent, an open-source Kubernetes operator for AI agents, lets users define agents as custom resources and reconcile them into running workloads, with the operator owning the workload, reasoning loop,…
A developer's thirteen-post investigation into the boundary between DevOps and AI governance concludes that no such line exists. The author argues that AI code generators are deployment paths in disgu…
AI cannot reliably diagnose cloud storage incidents when telemetry is isolated across separate dashboards, according to a new approach advocating evidence graphs that connect traces, metrics, logs, ev…
AI agents should be used as analysts, not actors, in CI/CD pipelines, according to a new article that argues agents should read, explain, and recommend but never hold credentials that touch production…
A developer advocates applying GitOps principles to AI agent configurations, treating tool configs and memory as version-controlled infrastructure-as-code. The approach involves storing configurations…
A developer proposes using GitOps for AI agents to version-control an agent's learned memory, enabling precise rollback of catastrophic learning artifacts. The L2 Vault framework treats an agent's too…
The Cloud Native Computing Foundation (CNCF) argues that the future of agentic AI will be built on the mature cloud-native ecosystem, not entirely new infrastructure, drawing on experience building a …
A developer built a Grafana AI anomaly detection pipeline after a memory leak went undetected for three days because static CPU thresholds failed. The pipeline converts ML model scores into reliable a…
A developer argues that AI coding tools should be governed with the same rigor as infrastructure, drawing parallels to DevOps practices like blast radius analysis, auditability, and measurement. The a…
OpenRun, an open-source deployment platform for code-first internal tools, has introduced a Service Binding feature that automates database access for applications. The feature allows developers to cr…
CloudSecAIOps, a new system combining GitOps and AI agents, reduces mean-time-to-remediate cloud security issues from 48 hours to under 5 minutes by automating detection, reasoning, and patch creation…
Next week at InfoComm, an idea sprint will challenge participants to apply AI at the edge to transform meeting rooms into intelligent, context-aware robots. The event, which includes mentoring and jud…
Mistral has launched Mistral Cloud, a private, integrated compute stack featuring GB300 GPUs, 1:1 InfiniBand XDR fabric, and SLURM plus Kubernetes orchestration. The platform offers tiered deployment …
The article describes Hermes Agent as the first AI framework designed specifically for platform engineers, featuring a three-layer memory architecture that automatically builds "runbook libraries" by …
The article describes the revival of NeuroScale, a broken MLOps platform that was abandoned in April 2026 after Backstage, ArgoCD, and KServe all failed. The author rebuilt it into a self-service AI i…