Apache Kafka

Gaming, AdTech, EdTech, Media Streaming, and FinTech are just a few of the workloads where high-availability cloud infrastructure matters. Whether you’re doing battle daily in one of these spaces or are just curious about ways to improve performance, meet us in Reston for an in-person discussion on bare metal cloud architecture. You’ll meet our product lead, James MacKenzie, who will walk through how modern bare metal serves as a control plane for hybrid and private cloud architectures. **What we will cover** * Ways to leverage bare metal, containers, and orchestration for better performance and predictable economics; * Real-world hybrid, disaster recovery, and data-intensive architectures; * Our approach to eliminating ingress and egress fees. **Who should attend** * Cloud architects and platform engineers; * DevOps professionals and infrastructure leads; * FinOps stakeholders managing data-heavy or hybrid workloads. **Why attend** This is a technical, architecture-first conversation. You will leave with a clearer understanding of high-availability cloud infrastructure and how organizations are scaling cost-effectively. Food and drinks will be provided. Space is limited to keep the discussion interactive.

IMPORTANT PLEASE RSVP @ https://www.meetup.com/washington-dc-elastic-fantastics/events/312487028/?eventOrigin=group_upcoming_events \*\*\* **Agenda:** * 5:30 pm: Doors open; say hi, grab a seat, and eat some food. * 6:00 pm: Talk 1 * 6:30 pm: Q&A * 6:40 pm: Talk 2 * 7:10 pm: Q&A * 7:20-7:30 pm: Networking & refreshments **Sandon Jacobs, Sr. Developer Advocate** ***Streaming Context: Powering Semantic Search with Kafka and Elasticsearch*** As the de facto platform for event streaming, we’ve seen how data from Apache Kafka can easily empower basic keyword search. But let's be real, modern semantic search applications need *context* to interpret the real meaning and intent of a user's query. We could wait around for the next batch job to kick off and provide that context... *or* we could serve it up in near real-time right from our data streams. In this talk, we'll discuss how to leverage data streams from Kafka to power much smarter semantic search with Elasticsearch. We’ll follow a simple event from a Kafka topic and see how it transforms into a powerful vector embedding. Then, we’ll see this whole flow in action using a k-Nearest Neighbor search to instantly find similar items in milliseconds. While my code examples will be in Java or Kotlin using the Spring Boot and Spring AI ecosystem, FEAR NOT! The core concepts—getting data into a vector format via a stream—are totally language agnostic. Join us to grab a few practical ideas you can take and use in your next project!

We will be meeting at Starbucks to learn together. Come with an online class you're already going through or an interest and we will try to connect you with a course where you can learn it. Already have a skill you want to contribute to a Kaggle Datascience competition? We will work on these too! Laptop required :)

Jan. 25 前行课：为什么学习？ 人生需要老师--善知识 踏入《广论》研讨班，对许多人来说是开启生命转变的契机。或许您也会好奇：在繁忙的工作与生活之余，投入时间研读佛典，究竟能为人生带来哪些实质的成长与收获？ 《广论》研讨班秉持着日常老和尚以心灵提升、圆满生命的目标，提供大众身、心、灵健康的学习环境与循序渐进的佛法课程。学员通过听师父的录音带和研讨交流，对佛法建立整体认识，全面的理解，同时学习如何将佛法智慧运用于生活中，打造幸福人生。 **《菩提道次第广论》简介** 佛法大全，给与您心灵滋养，人生方向 次第井然，引领您脚踏实地，步步向上 心智科学，帮助您认识自己，了解他人 幸福教育，教会您正确取舍，离苦得乐 生命教育，陪伴您创造希望，走向美好

This meetup is for Japanese learners who want to practice speaking in a relaxed, supportive environment without pressure or perfection. It's also a great place to meet people with similar interests! If you’ve studied vocabulary or grammar but freeze when it’s time to speak, this session is designed to help you bridge that gap. **What we'll do:** * Simple self-introductions in Japanese * Guided speaking prompts (you won’t be put on the spot) * Light pair or small-group practice * Optional review games or activities to support speaking Mistakes are expected and encouraged. You’re welcome to use notes, look things up, or listen more than you speak. **Who this is for:** * Beginner to early-intermediate learners * People who want to practice speaking without pressure * Anyone who feels like they “know the material” but struggles to use it No high-level Japanese required. Just come as you are.

Join us for another session of our study group as we dive into the fascinating world of Large Language Models (LLMs) using the book **Build a Large Language Model from Scratch** from Manning. In this session, we will finish **Chapter 7: Fine-tuning to follow instructions**. In the last session, we talked about how to prepare the dataset for instruction fine-tuning and in this session we will perform the fine-tuning and evaluate the model afterwards. This isn't just a lecture! Come ready to ask questions, share insights, and code along. Whether you're a beginner or have some experience, this is the perfect opportunity to build a strong foundation together. If you plan to work with the code on your own laptop during the session, try and set-up the environment ahead of time (https://github.com/rasbt/LLMs-from-scratch/tree/main/setup). We will be meeting at the North County Governmental Center this time that is across from the Reston public library.