Blog
Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
Container Security Scanning: Protecting Your Docker Images
Learn how to scan Docker images for vulnerabilities using Trivy, Clair, and other tools. Implement security scanning in your CI/CD pipeline.
Architecture Review: RAG Retrieval Quality Evaluation
RAG Retrieval Quality Evaluation. Practical guidance for reliable, scalable platform operations.
GitOps with ArgoCD: Automating Kubernetes Deployments
Learn how to implement GitOps workflows with ArgoCD. Automate Kubernetes deployments using Git as the single source of truth.
Kubernetes Networking Deep Dive: Understanding Pods, Services, and Ingress
Master Kubernetes networking concepts including pods, services, ingress controllers, and network policies. Complete guide with practical examples.
Architecture Review: Prompt Versioning and Regression Testing
Prompt Versioning and Regression Testing. Practical guidance for reliable, scalable platform operations.
Production AI Pipelines: Building End-to-End ML Systems
Learn how to build production-ready AI pipelines from data ingestion to model serving. Complete architecture guide with MLOps best practices.
Architecture Review: LLM Gateway Design for Multi-Provider Inference
LLM Gateway Design for Multi-Provider Inference. Practical guidance for reliable, scalable platform operations.
AI Security and Safety: Protecting Your AI Applications
Learn how to secure AI applications against prompt injection, data leakage, and adversarial attacks. Best practices for AI security in production.
Architecture Review: Kernel and Package Patch Management
Kernel and Package Patch Management. Practical guidance for reliable, scalable platform operations.
Embedding Models Comparison: Choosing the Right Model for Your Use Case
Compare popular embedding models including OpenAI, Sentence-BERT, and open-source alternatives. Learn which model fits your RAG, search, or similarity tasks.
Architecture Review: Systemd Service Reliability Patterns
Systemd Service Reliability Patterns. Practical guidance for reliable, scalable platform operations.
AI Cost Optimization: Reducing LLM Inference Costs by 80%
Learn proven strategies to reduce AI inference costs including model quantization, caching, batching, and efficient prompt design. Real-world cost savings examples.