#aiops

A hands-on guide to AI agent M2 deployment: run a local LLM on 8GB Apple Silicon, wire up a CrewAI agent, and keep memory under control.

Compare Datadog and AWS Ops Agents for AI-driven observability. See side-by-side features, pricing trade-offs, and a migration checklist to choose the best fit...

Discover the top AI agent risks revealed by Snyk's audit of 10,000 environments. Learn key security lessons to protect your deployments from automated threats.

Compare vLLM, TGI, Ollama, BentoML, and Ray Serve for production LLM serving. Real Helm values, GPU overhead, autoscaling, and a decision matrix.

Optimize Icinga 2 monitoring with `icinga2-mcp` for conversational AI. Use natural language to query status, acknowledge issues, and manage incidents efficiently....

Master the safe evaluation of LLM-generated Terraform. This guide covers validation, security, and best practices to integrate AI into your infrastructure workflo...

Learn to secure AI agent MCP servers from prompt injection and secret leaks. This guide covers least privilege, containerization, and network policies for DevOps.

Mitigate the Copy Fail (CVE-2026-31431) vulnerability in Linux kernels. Learn how to implement seccomp profiles for Kubernetes to prevent local privilege escalation.

Choosing an LLM serving engine? This guide compares vLLM vs TGI. Learn when vLLM's raw performance is worth the operational cost for your specific use case.

Secure your AI agents by detecting and preventing malicious MCP skills. Learn to implement sandboxing, egress filtering, and zero-trust architectures.

Stop sending sensitive logs to the cloud. Learn how to use Ollama and Llama 3 for secure, privacy-first log analysis and root cause diagnosis.

Learn to build autonomous Kubernetes agents using MCP, Kagent, and K8sGPT to automate diagnostics, resource optimization, and GitOps workflows.

Compare Cursor, GitHub Copilot, and Sourcegraph Cody for DevOps. Learn which AI tool best handles IaC, Kubernetes manifests, and complex CI/CD pipelines.