khadervali
Advanced technical deep dives, system architecture breakdowns, and tactical implementations for high-performance engineering environments.
Cloud Cost Optimization: AWS vs Azure vs GCP
Master cloud cost optimization across AWS, Azure, and GCP. Learn strategies, tools, and real-world scenarios to reduce your cloud spend effectively.
Multi-Cloud Strategy: Advantages, Challenges & Best Practices
Unlock the power of multi-cloud. Explore the strategic advantages, navigate common challenges, and implement best practices for a resilient and cost-effective multi-cloud architecture.
Evaluating LLM Outputs: Metrics, Benchmarks & Human Loops
Dive deep into LLM evaluation. Learn about automatic metrics (BLEU, BERTScore), standard benchmarks, and the critical role of human feedback loops (RLHF) for robust AI…
Fault Tolerant Systems: Circuit Breakers, Retries, Bulkheads
Learn to design robust, fault-tolerant systems using Circuit Breakers, Retries, and Bulkheads. Master these essential patterns to prevent cascading failures and enhance system resilience.
Semantic Search at Scale with ES, OS, and Transformers
Unlock advanced semantic search at scale using Elasticsearch/OpenSearch and state-of-the-art Transformer models. Dive into architecture, code, and real-world implementation.
Full Stack TypeScript: tRPC & Prisma End-to-End
Master full stack TypeScript development from database to frontend using tRPC and Prisma. Learn to build type-safe, high-performance applications with unparalleled developer experience.
Vector Databases Under the Hood: ChromaDB, Pinecone, Qdrant
Dive deep into how vector databases work, exploring ANN algorithms, architecture, and core features. Compare ChromaDB, Pinecone, and Qdrant for your AI projects.