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Hands-on guides to AI infrastructure, MLOps, models, and shipping to production.

Implement production-grade continuous delivery on Kubernetes using GitOps principles with ArgoCD and Flux CD.
KubePilot helps SRE, DevOps, and platform teams move from noisy cluster signals to a safe fix — CoPilot, Pilot, and AutoPilot. Open source at kubepilot.org.
Pair Kubeflow and Argo CD for MLOps on Kubernetes: train and register models in Kubeflow, promote InferenceServices with GitOps, roll back with git revert.
Kimi K3 pushes open-weight models into frontier agent territory. What changed for developers, vLLM serving, MCP, and Workstation production advice.

Discover how integrating AI into CRM systems transforms customer relationships through predictive lead scoring, sentiment analysis, churn prediction, and intelligent automation.

A practical guide to implementing AI workflow automation from RPA to intelligent process orchestration. Covers process mining, integration patterns, tools, testing, and scaling strategies.

A comprehensive guide to how AI agents work, covering architectures, reasoning loops, memory systems, and real-world applications of autonomous AI.
Run production AI on AWS Bedrock and Azure AI Foundry with clear patterns for model choice, caching, batching, quotas, and FinOps—so innovation does not blow the cloud bill.