Posts
All the articles I've posted.
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AI Meets SRE in 2026: Autonomous Operations, New Tools, and What to Learn Next
A curated roundup of the biggest AI and SRE developments in 2026 — from autonomous on-call agents and evolved observability stacks to must-follow GitHub repos, Claude Code tips for ops teams, and the best courses to level up this year.
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Kubernetes Toolset: The Essential Ecosystem Explained
A comprehensive breakdown of the Kubernetes ecosystem — from container orchestration and GitOps to ML pipelines and LLM inference — covering 21 essential tool integrations every practitioner should know.
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SRE in 2026: How Site Reliability Engineering Has Evolved Beyond the Google Book
A forward-looking analysis of how Site Reliability Engineering has evolved since Google's 2016 book — from Kubernetes complexity and unified observability to AIOps, platform engineering, and the blurred line between SRE and autonomous systems.
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The Origins of Site Reliability Engineering: How Google Rewrote the Rules of Operations
A deep technical exploration of how Site Reliability Engineering was born at Google, grounded in the O'Reilly SRE book — covering SLIs/SLOs/SLAs, error budgets, toil, incident management, and why the discipline became an industry standard.
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New Trends on Auth Security (2026)
A comprehensive look at the modern authentication and authorization landscape in 2026: Passkeys (WebAuthn), optimized M2M auth, decoupled policy engines like OPA and Cerbos, identity-aware proxies, and AI-driven risk-based authentication.
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What is the New DevOps Agent in AWS?
A deep dive into what a DevOps agent in AWS is, how it works using services like Lambda, EventBridge, Bedrock, and Terraform, and why it represents the next evolution of autonomous cloud operations.
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Python, TensorFlow, and PyTorch: Enterprise AI Stack Setup and Best Practices
Enterprise guide to building a production AI stack with Python, TensorFlow, and PyTorch. Covers installation, GPU setup, distributed training, model serving, security best practices, and top GitHub projects.
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MLflow vs Kubeflow (and Modern MLOps Tools): Enterprise Installation and Architecture Guide
A production-grade comparison of MLflow and Kubeflow for enterprise MLOps. Covers architecture, installation on Ubuntu, Kubernetes deployment patterns, security best practices, and top GitHub projects.
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Installing NVIDIA NemoClaw Securely (Official Guide + Best Practices)
A production-grade guide to installing NVIDIA NemoClaw — the security reference stack for running OpenClaw, Hermes, and LangChain Deep Agents inside OpenShell sandboxes. Covers architecture, prerequisites, secure installation, network policies, and best practices.
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Installing OpenClaw Securely on Ubuntu (Step-by-Step Guide)
A security-first guide to installing OpenClaw on Ubuntu. Covers verified installation methods, sandboxed environments, firewall rules, API key management, and Docker isolation for running an always-on AI assistant safely.