khadervali
Advanced technical deep dives, system architecture breakdowns, and tactical implementations for high-performance engineering environments.
Infra Testing with Terratest & Kitchen for Terraform
Master infrastructure testing for Terraform modules using Terratest (Go) and Kitchen-Terraform (Ruby). Learn best practices, CI/CD integration, and real-world scenarios.
Mastering Cloud Cost Optimization: AWS vs Azure vs GCP
Dive deep into cloud cost optimization strategies across AWS, Azure, and GCP. Learn how to save money with practical tips, code examples, and real-world scenarios.
Cloud Cost Optimization: AWS vs Azure vs GCP Deep Dive
Master cloud cost optimization across AWS, Azure, and GCP. A senior engineer's guide to saving big with rightsizing, discounts, serverless, and FinOps strategies.
Multi-Cloud Strategy: Advantages, Challenges, Best Practices
Master multi-cloud strategy for your enterprise. Explore advantages like vendor lock-in avoidance & resiliency, navigate challenges like complexity & cost, and implement best practices with…
Evaluating LLM Outputs: Metrics, Benchmarks, & Human Feedback
Master LLM evaluation with this deep dive into automatic metrics, benchmarks, and critical human feedback loops. Learn to build robust, production-ready AI systems.
Build Real-Time Streaming Pipelines with Kafka & Flink
Master building real-time streaming pipelines using Apache Kafka for data ingestion and Apache Flink for powerful, stateful stream processing. Learn architecture, code, and best practices.
Designing Robust Systems: Circuit Breakers, Retries & Bulkheads
Master fault-tolerant system design. Learn about circuit breakers, retries (with exponential backoff), and bulkheads to build robust, resilient distributed applications.
SBOM & Sigstore: Securing Your Software Supply Chain
Dive deep into Software Supply Chain Security with SBOM and Sigstore. Learn how these critical tools provide transparency and integrity for your software artifacts.
Building Production-Ready RAG with LangChain & ChromaDB
Learn to build robust, scalable production-ready RAG systems using LangChain for orchestration and ChromaDB as your persistent vector store. Master data ingestion, retrieval, and generation.
Real-World MLOps Pipeline: From Notebook to Production
Master MLOps. Learn to build an end-to-end real-world ML pipeline from local notebook experimentation to production deployment, monitoring, and retraining. Code & architecture included.