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1882d ago · 4 min read · Imagine this: It’s 7:00 AM on a Sunday. Five million people just finished their "Republic Day Run." They all hit "Save" on Strava, Garmin, or their Apple Watch at the exact same time. If your tech sta
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Apr 16 · 15 min read · They say data is the new gold. But navigating through a large dataset to meet the demands of consumers in record time still gives backend devs a headache. Conventional database queries often aren't to
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Mar 22 · 9 min read · I'm a cloud engineer. My 2026 goal is to land an internship at a Big Tech company. That's what I've been building toward. Upskilling in tech, grinding DSA, the whole thing. Applying for an attachment
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Mar 14 · 2 min read · Elasticsearch Query DSL and the production patterns worth knowing. Always filter before querying in bool context Filter context is cached and doesn't affect scoring. It's faster: { "query": { "bool": { "must": [ { "match": { "titl...
Join discussionMar 9 · 13 min read · TLDR: Lucene is a search library. Its core innovation is the inverted index — a reverse map from words to documents, like the index at the back of a textbook. Documents are stored in immutable segments that Lucene merges in the background to keep que...
Join discussionMar 9 · 14 min read · TLDR TLDR: An Inverted Index maps every word to the list of documents containing it — the same structure as the back-of-the-book index. It is the core data structure behind every full-text search engine, including Elasticsearch, Lucene, and PostgreS...
Join discussionMar 9 · 13 min read · TLDR: Elasticsearch is built for search — full-text log queries, fuzzy matching, and relevance ranking via an inverted index. InfluxDB and Prometheus are built for metrics — numeric time series with aggressive compression. Picking the wrong one waste...
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