A practical deep-dive into establishing declarative Kubernetes clusters with ArgoCD, Terraform IaC, and zero-drift GitOps pipelines.
Exposing clickbait local LLM claims: Why extreme 2-bit quantization degrades coherence, context window VRAM spikes, and real hardware guidelines.
Moving beyond static Grafana dashboards: How autonomous LLM agents tail logs, analyze stack traces, and remediate production outages.
A production-aware guide on managing Terraform at scale: locking remote state, building secure OIDC pipelines with GitHub Actions, and enforcing strict GitOps.
Exploring AMD Strix Halo APUs, high-bandwidth unified memory architecture, and local 70B LLM inference using ROCm.
An practical cost and performance comparison of AWS EC2, RunPod, and Modal serverless GPUs for AI training and inference workloads.
A practical comparative benchmark of budget consumer GPUs (RX 6500 XT, GTX 1660 Super, Arc A750, RTX 3050, RX 6600) running quantised LLMs (Llama-3, Qwen-2.5).
Architecting end-to-end MLOps automation with Kubeflow pipelines, MLflow experiment tracking, and automated drift detection.
A practical handbook for optimizing open-source LLM inference using PagedAttention, FP8 quantization, and speculative decoding.
A practical guide to building reliable RAG architectures using hybrid dense-sparse search, metadata filtering, and cross-encoder reranking.
A beginner-friendly introduction to Ansible automation.
The official launch post for YahyaOnCloud blog platform.
Deep dive into Golang basics and why it is the language of the cloud.