[In-Person] August Java Meet-up at Lastminute

We're excited to welcome two more JVM experts for a morning packed with technical insights. Details Location: [Lastminute.com](http://Lastminute.com) MANTRI COMMERCIO, (Spatium Commercio) TOWER-B, 5th Floor, Marathahalli - Sarjapur Outer Ring Rd, Kariyammana Agrahara, Bellandur, Bengaluru, Karnataka 560103 *Note: *** Event from 9.30am to 2pm, Snacks Provided **\ -- RSVP ONLY IF HAVE YOU DECIDED TO JOIN -- -- Its a Free Event\, RSVP before 27th Aug 2026. NO Walk-INs allowed -- -- GOV ID CARD IS MANDATORY TO ENTER -- -- LAPTOP IS NOT MANDATORY\, BRING IT ONLY IF YOU WISH TO PRACTICE ALONGSIDE (FULLY CHARGED)-- Agenda: ➡️ Registration Opens @ 9.30 am ➡️ Talk #1: The JVM Data Stack Has a Statistics Problem Modern Java applications increasingly sit on top of massive data systems—search engines, analytical stores, data lakes, and distributed query engines. When those systems make a bad query-planning decision, the JVM application often pays the price, with developers having little visibility into why. A planner is only as good as what it knows about the data. Postgres has spent decades on that: histograms, MCV lists, n-distinct. The JVM data world solved distribution and scale first, which was the right call, and is only now getting to statistics — separately, in every project. OpenSearch is formalizing routing and pruning. Iceberg is designing typed column stats for V4. Parquet carries stats readers barely use. Calcite has the plumbing and no one filling it. The talk opens with one query: fast in Postgres, slow in a search engine, same data. Then it traces where the information gets lost, and covers what a shared substrate might look like — with the upstream work in OpenSearch, Iceberg and Arrow, issue numbers and dead ends included. Time: 10.00 am to 11.00 am Speaker(s): [Atri Sharma](https://www.linkedin.com/in/atrisharma) Atri Sharma is a Senior Engineering Manager @ Apple and a technical leader in distributed databases, query optimization, and analytical systems. He has contributed extensively to PostgreSQL, Greenplum, Cosmos DB, and Presto, building and leading work across query optimization, columnar execution, indexing, and distributed analytics. An active open-source contributor and Apache PMC member/committer, Atri holds 20+ patents in distributed databases and query optimization and is a frequent speaker at leading data and open-source conferences. ➡️ Talk #2: The Runtime Strikes Back: Native Speed and AI-Aware Tooling for Java and Kotlin The JVM gave us world-class languages, libraries, and reliability, but our toolchain hasn't kept pace with how fast development moves today. Elide is a single native binary that builds, checks, formats, tests, and runs Java and Kotlin code: one install, no warm-up, drop-in compatible with javac and kotlinc up to JDK 25. The result is up to 35x faster compilation, which transforms iteration speed. Elide ships a coding harness pre-tuned for JVM development that compounds with the runtime: up to 10x task effectiveness, 60% lower token usage, and dramatically better wall-clock time for agentic engineering. In this session, we'll look at what AI-native tooling means for JVM developers in practice, with live examples in Kotlin, Java, and Spring Boot, all inside the stack you already know and love. Time: 11.15 am to 12.15 pm Speaker(s): [Sam Gammon](https://www.linkedin.com/in/samgammon/) Sam Gammon is a software engineer and the author of Elide, an open source runtime and toolchain for the JVM and beyond. He's spent his career building things in Java and Kotlin, and started Elide to fix the parts of that experience that always felt slower than they should be. ➡️ Break: Lunch & Networking Time: 12:15 pm to 1:30 pm**