@priyansh28
Engineering Data & ML Platforms from Ingest to Insight
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Jan 11 · 2 min read · In 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...
Join discussionDec 24, 2025 · 6 min read · HLD: 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...
Join discussionDec 7, 2025 · 4 min read · Pinecone — 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....
Join discussionNov 22, 2025 · 7 min read · 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 ...
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