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 · 16 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 · 14 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...
Join discussionMar 9 · 15 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 3 · 9 min read · Full-Text Search Tools: Elasticsearch, Meilisearch, Typesense, SQLite FTS5, and PostgreSQL Adding search to your application starts with a simple question: do you need a dedicated search engine, or can your existing database handle it? For many appli...
Join discussionFeb 26 · 10 min read · By Software Engineer (GenAI / Search) | Elastic Blogathon 2026 | Theme: Vectorized Thinking This blog post was submitted to the Elastic Blogathon Contest and is eligible to win a prize. Abstract
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