dataplatform.hashnode.devKafka Streams vs Flink vs Spark Streaming — A Senior System Design Interview PerspectiveIn senior system design interviews, even very experienced managers and architects often demonstrate strong familiarity with streaming tools—yet limited clarity when the discussion shifts to trade-offs, failure handling, and selecting the right stream...Jan 11·2 min read
mlplatform.hashnode.devEnterprise RAG System: Ingestion, Embedding, MonitoringHLD: Trade-offs at HLD level StepWhy this toolWhy NOT others PoolPartyBusiness semanticsLLMs can’t enforce ontology S3Cheap, durableDB too expensive SQSBackpressure + retryKafka costly + ops heavy EC2 preprocessingContinuous, low latencyBa...Dec 24, 2025·6 min read
mlplatform.hashnode.devHow to Choose the Right Vector Database in 2025: A Practical Decision Tree for All Use CasesPinecone — Fully managed, production-ready, simple integration, strong SLAs; ideal for low ops + high reliability. Qdrant — Open-source, Rust-based, fast, great payload filtering; best when you want self-hosted control with quick time-to-production....Dec 7, 2025·4 min read
dataplatform.hashnode.dev🚀 Protobuf vs Avro vs JSON Schema vs JSON — A Practical Decision Guide (2025)Choosing a data format for your platform, Kafka pipelines, or microservices is more strategic than it seems. The wrong format can break schema evolution, increase latency, or slow down developer velocity. This guide breaks down: What each format is ...Nov 22, 2025·7 min read
devopsbypriyanshu.hashnode.devChoosing Between Terraform and Ansible: Practical Examples and Guidance🧩 Terraform vs Ansible: The Basics FeatureTerraformAnsible PurposeInfra provisioning (IaaC)App configuration & deployment LanguageDeclarative (HCL)Procedural (YAML + Jinja2) Works withCloud infra (AWS, GCP, Azure, etc.)OS-level (SSH, WinRM)...Jul 29, 2025·3 min read