DevOps & Cloud Blog

Expert insights on cloud infrastructure, DevOps practices, and digital transformation.

Prompt Versioning and A/B Testing

Master prompt versioning and A/B testing to treat LLM configurations as production code with reproducible evaluation pipelines in...

Learn how to implement LLMOps: Ship and Operate LLM Apps with production-grade evaluation, guardrails, and observability for relia...

Learn how to monitor ML models in production (drift) using statistical tests, automated pipelines, and observability tools to main...

Model versioning and registries enable reproducible ML deployments by tracking artifacts, metadata, and lineage for safe rollbacks...

Master MLOps: From Notebook to Production with a practical guide covering CI/CD, containerization, monitoring, and compliance for...

Decide whether to rent vs buy GPUs for AI workloads with a practical cost, compliance, and performance framework built for product...

Learn how to serve LLMs in production: throughput and latency optimization using vLLM, quantization, and GPU scheduling for reliab...

Learn how to build an embeddings pipeline for RAG and semantic search with production-grade chunking, vector storage, and evaluati...

Vector databases explained for RAG: how embeddings, indexing, and retrieval work in production with practical architecture pattern...

Model quantization reduces LLM VRAM usage by converting weights to lower precision, enabling larger models to run on consumer GPUs...

Learn how to run LLMs locally with Ollama and vLLM for secure, cost-effective inference on your own GPU hardware in 2026.

GPUs for AI: What Developers Need to Know covers VRAM, bandwidth, and cloud vs self-hosted trade-offs to select the right hardware...