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ClickHouse Gurgaon/Delhi Meetup
2026-01-10 · 05:00
Start 2026 with the ClickHouse India community in Gurgaon! Connect with fellow data practitioners and hear from industry experts through engaging talks focused on lessons learned, best practices, and modern data challenges. Agenda:
👉🏼 RSVP to secure your spot! Interested in speaking at this meetup or future ClickHouse events? 🎤Shoot an email to [email protected] and she'll be in touch. ******** 🎤 Session Details: Inside ClickStack: Engineering Observability for Scale Dive deep into ClickStack, ClickHouse’s fresh approach to observability built for engineers who care about speed, scale, and simplicity. We’ll unpack the technical architecture behind how ClickStack handles metrics, logs, and traces using ClickHouse as the backbone for real-time, high-cardinality analytics. Expect a hands-on look at ingestion pipelines, schema design patterns, query optimization, and the integrations that make ClickStack tick. Speaker: Rakesh Puttaswamy, Lead Solutions Architect @ ClickHouse 🎤 Session Details: Supercharging Personalised Notifications At Jobhai With ClickHouse Calculating personalized alerts for 2 million users is a data-heavy challenge that requires more than just standard indexing. This talk explores how Jobhai uses ClickHouse to power its morning notification pipeline, focusing on the architectural shifts and query optimizations that made our massive scale manageable and fast. Speaker: Sumit Kumar and Arvind Saini, Tech Leads @ Info Edge Sumit is a seasoned software engineer with deep expertise in databases, backend systems, and machine learning. For over six years, he has led the Jobhai engineering team, driving continuous improvements across their database infrastructure and user-facing systems while streamlining workflows through ongoing innovation. Connect with Sumit Kumar on LinkedIn. Arvind is a Tech Lead at Info Edge India Ltd with experience building and scaling backend systems for large consumer and enterprise platforms. Over the years, they have worked across system design, backend optimization, and data-driven services, contributing to initiatives such as notification platforms, workflow automation, and product revamps. Their work focuses on improving reliability, performance, and scalability of distributed systems, and they enjoy solving complex engineering problems while mentoring teams and driving technical excellence. 🎤 Session Details: Simplifying CDC: Migrating from Debezium to ClickPipes In this talk, Abhash will share their engineering team's journey migrating our core MySQL and MongoDB CDC flows to ClickPipes. We will contrast our previous architecture—where every schema change required manual intervention or complex Debezium configurations—with the new reality of ClickPipes' automated schema evolution, which seamlessly handles upstream schema changes and ingests flexible data without breaking pipelines. Speaker: Abhash Solanki, DevOps Engineer @ Spyne AI Abhash serves as a DevOps Engineer at Spyne, orchestrating the AWS infrastructure behind the company's data warehouse and CDC pipelines. Having managed complex self-hosted Debezium and Kafka clusters, he understands the operational overhead of running stateful data stacks in the cloud. He recently led the architectural shift to ClickHouse Cloud, focusing on eliminating engineering toil and automating schema evolution handling. 🎤 Session Details: Solving Analytics at Scale: From CDC to Actionable Insights As SAMARTH’s data volumes grew rapidly, our analytics systems faced challenges with frequent data changes and near real-time reporting. These challenges were compounded by the platform’s inherently high cardinality in multidimensional data models - spanning institutions, programmes, states, categories, workflow stages, and time, resulting in highly complex and dynamic query patterns. This talk describes how we evolved from basic CDC pipelines to a fast, reliable, and scalable near real-time analytics platform using ClickHouse. We share key design and operational learnings that enabled us to process continuous high-volume transactional data and deliver low-latency analytics for operational monitoring and policy-level decision-making. Speaker: Kunal Sharma, Software Developer @ Samarth eGov Kunal Sharma is a data-focused professional with experience in building scalable data pipelines. His work includes designing and implementing robust ETL/ELT workflows, data-driven decision engines, and large-scale analytics platforms. At SAMARTH, he has contributed to building near real-time analytics systems, including the implementation of ClickHouse for large-scale, low-latency analytics. |
ClickHouse Gurgaon/Delhi Meetup
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Google NY Site Reliability Engineering (SRE) Tech Talks, 16 Dec 2025
2025-12-16 · 23:00
Google SRE NYC proudly announces our last Google SRE NYC Tech Talk for 2025. This event is co-sponsored by sentry.io. Thank you Sentry for your partnership! Let's farewell 2025 with three amazing interactive short talks on Site Reliability and DevOps topics! As always the event will include an opportunity to mingle with the speakers and attendees over some light snacks and beverages after the talks. The Meetup will take place on Tuesday, 16th of December 2025 at 6:00 PM at our Chelsea Markets office in NYC. The doors will open at 5:30 pm. Pls RSVP only if you're able to attend in-person, there will be no live streaming. When RSVP'ing to this event, please enter your full name exactly as it appears on your government issued ID. You will be required to present your ID at check in. Agenda: Paul Jaffre - Senior Developer Experience Engineer\, sentry.io One Trace to Rule Them All: Unifying Sentry Errors with OpenTelemetry tracing SREs face the challenge of operating reliable observability infrastructure while avoiding vendor lock-in from proprietary APM (Application Performance Monitoring) solutions. OpenTelemetry has become the standard for instrumenting applications, allowing teams to collect traces, metrics, and logs. But raw telemetry data isn't enough. SREs need tools to visualize, debug, and respond to production incidents quickly. Sentry now supports OTLP, enabling teams to send OpenTelemetry data directly to Sentry for analysis. This talk covers how Sentry's OTLP support works in practice: connecting frontend and backend traces across services, correlating logs with distributed traces, and using tools to identify slow queries and performance bottlenecks. We'll discuss the practical benefits for SREs, like faster incident resolution, better cross-team debugging, and the flexibility to change observability backends without re-instrumenting code. Paul’s background spans engineering, product management, UX design, and open source. He has a soft spot for dev tools and loses sleep over making things easy to understand and use. Paul has a dynamic professional background, from strategy to stability. His time at Krossover Intelligence established a strong foundation by blending Product Management with hands-on development, and he later focused on core reliability at MakerBot, where he implemented automated end-to-end testing and drove performance improvements. He then extended this expertise in stability and scale at Cypress.io, where he served as a Developer Experience Engineer, focusing on improving workflow, contribution, and usability for their widely adopted open-source community. Thiara Ortiz - Cloud Gaming SRE Manager\, Netflix Managing Black Box Systems SREs often face ambiguity when managing black box systems (LLMs, Games, Poorly Understood Dependencies). We will discuss how Netflix monitors service health as black boxes using multiple measurement techniques to understand system behavior, aligning with the need for robust observability tools. These strategies are crucial for system reliability and user experience. By proactively identifying and resolving issues, we ensure smoother playback experience and maintain user trust, even as the platform continues to evolve and gain maturity. The principles shared within this talk can be expanded to other applications such as AI reliability in data quality and model deployments. Thiara has worked at some of the largest internet companies in the world, Meta and Netflix. During her time at Meta, Thiara found a passion for distributed systems and bringing new hardware into production. Always curious to explore new solutions to complex problems, Thiara developed Fleet Scanner, internally known as Lemonaid, to perform memory, compute, and storage benchmarks on each Meta server in production. This service runs on over 5 million servers and continues to be utilized at Meta. Since Meta, Thiara has been working at Netflix as a Senior CDN Reliability engineer, and now, Cloud Gaming SRE Manager. When incidents occur and Netflix's systems do not behave as expected, Thiara can be found working and engaging the necessary teams to remediate these issues. Andrew Espira - Platform and Site Reliability Engineer\, Founding Engineer kustode ML-Powered Predictive SRE: Using Behavioral Signals to Prevent Cluster Inefficiencies Before They Impact Production SREs managing ML clusters often discover resource inefficiencies and queue bottlenecks only after they've impacted production services. This talk presents a machine learning approach to predict these issues before they occur, transforming SRE from reactive firefighting to proactive system optimization. We demonstrate how to build predictive models using production cluster traces that identify two critical failure modes: (1) GPU under-utilization relative to requested resources, and (2) abnormal queue wait times that indicate impending service degradation. The SRE practitioners will learn how to extract early warning indicators from standard cluster logs, build ML models that provide actionable confidence scores for operational decisions, and take practical steps to integrate predictive analytics into existing SRE toolchains to achieve 50%+ reduction in resource waste and queue-related incidents This talk bridges the gap between traditional SRE observability and modern predictive analytics, showing how teams can evolve from reactive monitoring to intelligent, forward-looking reliability engineering" Andrew has over 8 years of experience architecting and maintaining large-scale distributed systems. He is the Founding Engineer of Kustode (kustode.com), where he develops cutting-edge reliability and observability solutions for modern infrastructure in the Insurance and health care solutions space. Currently pursuing graduate studies in Data Science at Saint Peter's University, he specializes in the intersection of reliability engineering and artificial intelligence. His research focuses on applying machine learning to operational challenges, with publications in peer-reviewed venues including ScienceDirect. He's passionate about making complex systems more predictable and maintainable through data-driven approaches. When not optimizing cluster performance or building the next generation of observability tools, Andrew enjoys contributing to open-source projects and mentoring early-career engineers in the SRE community. Our Tech Talks series are for professional development and networking: no recruiters, sales or press please! Google is committed to providing a harassment-free and inclusive conference experience for everyone, and all participants must follow our Event Community Guidelines. The event will be photographed and video recorded. Event space is limited! A reservation is required to attend. Reserve your spot today and share the event details with your SRE/DevOps friends 🙂 |
Google NY Site Reliability Engineering (SRE) Tech Talks, 16 Dec 2025
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Dec 11 - Visual AI for Physical AI Use Cases
2025-12-11 · 17:00
Join our virtual meetup to hear talks from experts on cutting-edge topics across Visual AI for Physical AI use cases. Date, Time and Location Dec 11, 2025 9:00-11:00 AM Pacific Online. Register for the Zoom! From Data to Open-World Autonomous Driving Data is key for advances in machine learning, including mobile applications like robots and autonomous cars. To ensure reliable operation, occurring scenarios must be reflected by the underlying dataset. Since the open-world environments can contain unknown scenarios and novel objects, active learning from online data collection and handling of unknowns is required. In this talk we discuss different approach to address this real world requirements. About the Speaker Sebastian Schmidt is a PhD student at the Data Analytics and Machine Learning group at TU Munich and part of an Industrial PhD Program with the BMW research group. His work is mainly focused on Open-world active learning and perception for autonomous vehicles. From Raw Sensor Data to Reliable Datasets: Physical AI in Practice Modern mobility systems rely on massive, high-quality multimodal datasets — yet real-world data is messy. Misaligned sensors, inconsistent metadata, and uneven scenario coverage can slow development and lead to costly model failures. The Physical AI Workbench, built in collaboration between Voxel51 and NVIDIA, provides an automated and scalable pipeline for auditing, reconstructing, and enriching autonomous driving datasets. In this talk, we’ll show how FiftyOne serves as the central interface for inspecting and validating sensor alignment, scene structure, and scenario diversity, while NVIDIA Neural Reconstruction (NuRec) enables physics-aware reconstruction directly from real-world captures. We’ll highlight how these capabilities support automated dataset quality checks, reduce manual review overhead, and streamline the creation of richer datasets for model training and evaluation. Attendees will gain insight into how Physical AI workflows help mobility teams scale, improve dataset reliability, and accelerate iteration from data capture to model deployment — without rewriting their infrastructure. About the Speaker Daniel Gural leads technical partnerships at Voxel51, where he’s building the Physical AI Workbench, a platform that connects real-world sensor data with realistic simulation to help engineers better understand, validate, and improve their perception systems. With a background in developer relations and computer vision engineering, Building Smarter AV Simulation with Neural Reconstruction and World Models This talk explores how neural reconstruction and world models are coming together to create richer, more dynamic simulation for scalable autonomous vehicle development. We’ll look at the latest releases in 3D Gaussian splatting techniques and world reasoning and generation, as well as discuss how these technologies are advancing the deployment of autonomous driving stacks that can generalize to any environment. We’ll also cover NVIDIA open models, frameworks, and data to help kickstart your own development pipelines. About the Speaker Katie Washabaugh is NVIDIA’s Product Marketing Manager for Autonomous Vehicle Simulation, focusing on virtual solutions for real world mobility. A former journalist at publications such as Automotive News and MarketWatch, she joined the NVIDIA team in 2018 as Automotive Content Marketing Manager. Katie holds a B.A. in public policy from the University of Michigan and lives in Detroit. Relevance of Classical Algorithms in Modern Autonomous Driving Architectures While modern autonomous driving systems increasingly rely on machine learning and deep neural networks, classical algorithms continue to play a foundational role in ensuring reliability, interpretability, and real-time performance. Techniques such as Kalman filtering, A* path planning, PID control, and SLAM remain integral to perception, localization, and decision-making modules. Their deterministic nature and lower computational overhead make them especially valuable in safety-critical scenarios and resource-constrained environments. This talk explores the enduring relevance of classical algorithms, their integration with learning-based methods, and their evolving scope in the context of next-generation autonomous vehicle architectures. Prajwal Chinthoju is an Autonomous Driving Feature Development Engineer with a strong foundation in systems engineering, optimization, and intelligent mobility. I specialize in integrating classical algorithms with modern AI techniques to enhance perception, planning, and control in autonomous vehicle platforms. |
Dec 11 - Visual AI for Physical AI Use Cases
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Manchester December Meetup
2025-12-04 · 18:15
Please Note the slightly later start time than usual - this is due to venue availability. Network, learn, ask a question, meet other folks - these are all things that happen at user group events. These events are a really great opportunity to socialise in an informal learning experience. Remember to tell your friends and the people you work with; make sure you register as soon as you can. In-Person only event. Not being recorded. Please complete the registration form with your full name and organisation you are from - we collect this information to give to building security to let you into the event. 18:15 – 18:30 Intro and updates 18:30 – 19:30 Bharav Patel - From Blind Spots to Total Vision: Observability at Petabyte Scale. System downtime erodes customer trust and causes financial losses in today's digital landscape. This session demonstrates how to transform infrastructure monitoring using logs, metrics, and traces for comprehensive visibility. By implementing advanced strategies, machine learning for anomaly detection, and AI-assisted data interaction, businesses can proactively identify and mitigate issues, minimizing downtime and maintaining reliable digital ecosystems. We'll use OpenSearch to illustrate these platform-agnostic concepts. 19:30 – 19:45 Break & Pizza 19:45 – 20:45 Olivier Van Steenlandt - Database Deployment Automation using Database Projects & Azure DevOps You have implemented Database Projects and Azure DevOps for database development successfully in your organization and you want to make your life easier by automating your database deployments? If the answer is yes, this session is for you! At the beginning of this session, we will do a quick recap of Database Projects and Azure DevOps. Just to make sure that we are all on the same page. During the session, we will set up an example build and deploy pipeline. Since there are a couple of ways to deploy changes from Azure DevOps to your target database, We will discuss a couple of scenarios and I will show you which method I'm using. - 1 Pipeline to rule them all - multi-step deployment During this session, we will also cover the deployment pipeline differences between SQL Server and AzureSQL. At the end of this session, you should have all you need to start with database deployment automation. |
Manchester December Meetup
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NL dbt meetup: 13th Edition
2025-07-08 · 15:30
Our friends at Snowflake are hosting the upcoming event at their office in Amsterdam at the Zuidas! 17:30 – 🍕 Welcome 18:00 – 🎤 Entity-First Driven Design for Event Data Modeling Jon Su (Solutions Architect) @ Snowplow 18:30 – 🎤 Talk by Snowflake Hassan Dibani (Evangelist) @ Snowflake 18:30 – 🎤 Talk by dbt Bart van Delft (Solutions Architect) @ dbt 19:30 –🥤 Drinks & Snacks --- About the talks Talk: Entity-First Driven Design for Event Data Modeling Behavioral data is rich, granular, and highly predictive for understanding how customers make decisions. However, it can also be messy and complex, becoming increasingly fragmented over time in downstream modeling. In this talk, we’ll go back to the source of data creation and explore why an Entity-first approach to event data design & modeling can not only transform raw event data into reliable data models and improve analytics quality, but also enable future operational use cases. Jon Su is a Solutions Architect at Snowplow, collaborating closely with and guiding businesses to design and build out their best-in-class customer data infrastructure on Snowplow. With experience working with customers across retail, fintech, media, and other industries, Jon helps organizations unlock operational value from their behavioral data and turn data into outcomes. Prior to joining Snowplow, Jon worked as the EU Regional Data Analytics Lead for a boutique Google Cloud consultancy where he supported customers with Martech and Cloud technical implementations and roadmap strategies. --- Join the dbt Slack community: https://community.getdbt.com/ Join the conversation in the #local-netherlands channel in dbt Slack to connect with other data practitioners locally. To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://www.getdbt.com/legal/health-and-safety-policy |
NL dbt meetup: 13th Edition
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ClickHouse Delhi/Gurgaon Meetup - March 2025
2025-03-22 · 05:00
We are excited to finally have the first ClickHouse Meetup in the vibrant city of Delhi! Join the ClickHouse crew, from Singapore and from different cities in India, for an engaging day of talks, food, and discussion with your fellow database enthusiasts. But here's the deal: to secure your spot, make sure you register ASAP! 🗓️ Agenda:
If anyone from the community is interested in sharing a talk at future meetups, complete this CFP form and we’ll be in touch. _______ 🎤 Session Details: Introduction to ClickHouse Discover the secrets behind ClickHouse's unparalleled efficiency and performance. Johnny will give an overview of different use cases for which global companies are adopting this groundbreaking database to transform data storage and analytics. Speaker: Rakesh Puttaswamy, Solution Architect @ ClickHouse Rakesh Puttaswamy is a Solution Architect with ClickHouse, working with users across India, with over 12 years of experience in data architecture, big data, data science, and software engineering.Rakesh helps organizations design and implement cutting-edge data-driven solutions. With deep expertise in a broad range of databases and data warehousing technologies, he specializes in building scalable, innovative solutions to enable data transformation and drive business success. 🎤 Session Details: ClickPipes Overview and demo ClickPipes is a powerful integration engine that simplifies data ingestion at scale, making it as easy as a few clicks. With an intuitive onboarding process, setting up new ingestion pipelines takes just a few steps—select your data source, define the schema, and let ClickPipes handle the rest. Designed for continuous ingest, it automates pipeline management, ensuring seamless data flow without manual intervention. In this talk, Kunal will demo the Postgres CDC connector for ClickPipes, enabling seamless, native replication of Postgres data to ClickHouse Cloud in just a few clicks—no external tools needed for fast, cost-effective analytics. Speaker: Kunal Gupta, Sr. Software Engineer @ ClickHouse Kunal Gupta is a Senior Software Engineer at ClickHouse, joining through the acquisition of PeerDB in 2024, where he played a pivotal role as a founding engineer. With several years of experience in architecting scalable systems and real-time applications, Kunal has consistently driven innovation and technical excellence. Previously, he was a founding engineer for new solutions at ICICIdirect and at AsknBid Tech, leading high-impact teams and advancing code analysis, storage solutions, and enterprise software development. 🎤 Session Details: Optimizing Log Management with Clickhouse: Cost-Effective & Scalable Solutions Efficient log management is essential in today's cloud-native environments, yet traditional solutions like ElasticSearch often face scalability issues, high costs, and performance limitations. This talk will begin with an overview of common logging tools and their challenges, followed by an in-depth look at ClickHouse's architecture. We will compare ClickHouse with ElasticSearch, focusing on improvements in query performance, storage efficiency, and overall cost-effectiveness. A key highlight will be OLX India's migration to ClickHouse, detailing the motivations behind the shift, the migration strategy, key optimizations, and the resulting 50% reduction in log storage costs. By the end of this talk, attendees will gain a clear understanding of when and how to leverage ClickHouse for log management, along with best practices for optimizing performance and reducing operational costs. Speaker: Pushpender Kumar, DevOps Architect @ OLX India Born and raised in Bijnor, moved to Delhi to stay ahead in the race of life. Currently working as a DevOps Architect at OLX India, specializing in cloud infrastructure, Kubernetes, and automation with over 10 years of experience. Successfully optimized log storage costs by 50% using Clickhouse, bringing scalability and efficiency to large-scale logging systems. Passionate about cloud optimization, DevOps hiring, and performance engineering. 🎤 Session Details: ClickHouse at Physics Wallah: Empowering Real-Time Analytics at Scale This session explores how Physics Wallah revolutionized its real-time analytics capabilities by leveraging ClickHouse. We'll delve into the journey of implementing ClickHouse to efficiently handle large-scale data processing, optimize query performance, and power diverse use cases such as user activity tracking and engagement analysis. By enabling actionable insights and seamless decision-making, this transformation has significantly enhanced the learning experience for millions of users. Today, more than five customer-facing products at Physics Wallah are powered by ClickHouse, serving over 10 million students and parents, including 1.5 million Daily Active Users. Our in-house ClickHouse cluster, hosted and managed within our EKS infrastructure on AWS Cloud, ingests more than 10 million rows of data daily from various sources. Join us to learn about the architecture, challenges, and key strategies behind this scalable, high-performance analytics solution. Speaker: Utkarsh G. Srivastava, Software Development Engineer III @ Physics Wallah As a versatile Software Engineer with over 7 years of experience in the IT industry, I have had the privilege of taking on diverse roles, with a primary focus on backend development, data engineering, infrastructure, DevOps, and security. Throughout my career, I have played a pivotal role in transformative projects, consistently striving to craft innovative and effective solutions for customers in the SaaS space. 🎤 Session Details: FabFunnel & ClickHouse: Delivering Real-Time Marketing Analytics We are a performance marketing company that relies on real-time reporting to drive data-driven decisions and maximize campaign effectiveness. As our client base expanded, we encountered significant challenges with our reporting system—frequent data updates meant handling large datasets inefficiently, leading to slow query execution and delays in delivering insights. This bottleneck hindered our ability to provide timely optimizations for ad campaigns. To address these issues, we needed a solution that could handle rapid data ingestion and querying at scale without the overhead of traditional refresh processes. In this talk, we’ll share how we transformed our reporting infrastructure to achieve real-time insights, enhancing speed, scalability, and efficiency in managing large-scale ad performance data. Speakers: Anmol Jain, SDE-2 (Full stack Developer), & Siddhant Gaba, SDE-2 (Python) @ Idea Clan From competing as a national table tennis player to building high-performance software, Anmol Jain brings a unique mix of strategy and problem-solving to tech. With 3+ years of experience at Idea Clan, they play a key role in scaling Lookfinity and FabFunnel, managing multi-million-dollar ad spends every month. Specializing in ClickHouse, React.js, and Node.js, Anmol focuses on real-time data processing and scalable backend solutions. At this meet-up, they’ll share insights on solving reporting challenges and driving real-time decision-making in performance marketing. Siddhant Gaba is an SDE II at Idea Clan, with expertise in Python, Java, and C#, specializing in scalable backend systems. With four years of experience working with FastAPI, PostgreSQL, MongoDB, and ClickHouse, he focuses on real-time analytics, database optimization, and distributed systems. Passionate about high-performance computing, asynchronous APIs, and system design, he aims to advance real-time data processing. Outside of work, he enjoys playing volleyball. At this meetup, he will share insights on how ClickHouse transformed real-time reporting and scalability. 🎤 Session Details: From SQL to AI: Building Intelligent Applications with ClickHouse and LangDB As AI becomes a driving force behind innovation, building applications that seamlessly integrate AI capabilities with existing data infrastructures is critical. In this session, we explore the creation of agentic applications using ClickHouse and LangDB. We will introduce the concept of an AI gateway, explaining its role in connecting powerful AI models with the high-performance analytics engine of ClickHouse. By leveraging LangDB, we demonstrate how to directly interact with AI functions as User-Defined Functions (UDFs) in ClickHouse, enabling developers to design and execute complex AI workflows within SQL. Additionally, we will showcase how LangDB facilitates deep visibility into AI function behaviors and agent interactions, providing tools to analyze and optimize the performance of AI-driven logic. Finally, we will highlight how ClickHouse, powered by LangDB APIs, can be used to evaluate and refine the quality of LLM responses, ensuring reliable and efficient AI integrations. Speaker: Matteo Pelati, Co-founder, LangDB.ai Matteo Pelati is a seasoned software engineer with over two decades of experience, specializing in data engineering for the past ten years. He is the co-founder of LangDB, a company based in Singapore building the fastest Open Source AI Gateway. Before founding LangDB, he was part of the early team at DataRobot, where he contributed to scaling their product for enterprise clients. Subsequently, he joined DBS Bank where he built their data platform and team from the ground up. Prior to starting LangDB, Matteo led the data group for Asia Pacific and data engineering at Goldman Sachs. |
ClickHouse Delhi/Gurgaon Meetup - March 2025
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Reliable Data Infrastructure Meetup
2025-03-18 · 21:30
Please register here to ensure you get a reserved seat for this event: https://www.aicamp.ai/event/eventdetails/W2025031814 Join TiDB developed by PingCAP, Antithesis, MongoDB and industry leaders for an evening of insights and networking focused on building reliable, scalable, and high-performance data-intensive applications. This meetup will bring together developers, infrastructure engineers, SREs, and architects to explore cutting-edge tools and best practices for managing complex data workloads. Hear from PingCAP about TiDB, the distributed SQL database designed for modern applications, and learn how EasyPost leverages TiDB to power their operations. MongoDB will share their journey of using formal methods (TLA+) to validate critical database consensus protocols, while Antithesis will explore strategies for detecting hidden failure modes that traditional reliability practices might miss. Whether you're building the next big app or optimizing existing infrastructure, this event will equip you with the knowledge and connections to tackle the challenges of data-intensive systems. Don’t miss this opportunity to learn, share, and connect with fellow developers in NYC! Agenda: * 5:30pm\~6:00pm: Checkin, Food and networking * 6:00pm\~8:00pm: Tech talks and Q&A * 8:00pm: Open discussion, Mixer Who Should Attend: Developers, Infrastructure Engineers, SREs, Architects, and anyone passionate about building reliable, data-driven applications. Speakers/Topics:
Venue: Microsoft NYC - Times Square, 11 Times Square, New York, NY 10036 Room Name: 5th floor Music Box/Winter Garden |
Reliable Data Infrastructure Meetup
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AI Meetup: Building Reliable Data-Intensive Applications
2025-03-18 · 21:30
** Important **: Due to room capacity and building security, you must register on the event website for admission. Description: Join PingCAP, Antithesis, MongoDB and industry leaders for an evening of insights and networking focused on building reliable, scalable, and high-performance data-intensive applications. This meetup will bring together developers, infrastructure engineers, SREs, and architects to explore cutting-edge tools and best practices for managing complex data workloads. Hear from PingCAP about TiDB, the distributed SQL database designed for modern applications, and learn how EasyPost leverages TiDB to power their operations. MongoDB will share their journey of using formal methods (TLA+) to validate critical database consensus protocols, while Antithesis will explore strategies for detecting hidden failure modes that traditional reliability practices might miss. Who Should Attend: Developers, Infrastructure Engineers, SREs, Architects, and anyone passionate about building reliable, data-driven applications. Speakers/Topics:
Speakers and Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsor. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in New York or 450K+ worldwide. Local and Global AI Community on Discord Join us on discord for local and global AI tech community:
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AI Meetup: Building Reliable Data-Intensive Applications
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Please rsvp for the event here: https://www.meetup.com/nlp_london/events/304258590/?utm_medium=referral&utm_campaign=share-btn_savedevents_share_modal&utm_source=link DetailsOverview: If you are using LLMs in applications for the Legal sector, then you may come across the challenges of connecting siloed information, building Assistants to automate tasks, and reliably making sense of the semantics of your data. We’re delighted to have three fantastic presentations sharing actionable insights:
Speaker: Jocelyn Matthews from Pinecone If you had a collection of every kind of animal on earth, from mules to narwhals to goldfish, how would we pick out just the housepets? And how does AI distinguish between a pack mule and a Moscow Mule? Lawyers often need to identify underlying themes or concepts to build arguments, which is akin to how embeddings distil high-dimensional data into lower-dimensional, meaningful representations. Legal professionals are skilled at recognizing fact patterns that may apply across different cases. This is analogous to how embeddings recognize conceptual or contextual similarities in data. Embeddings are numerical representations that capture the essential features and relationships of objects, like words or images, in a continuous vector space, enabling tasks such as semantic search, clustering, and recommendations. We'll explore the core concepts of embeddings, using relatable examples to make advanced ideas accessible. Legal professionals may find embeddings particularly relevant due to their ability to distinguish between different entities and concepts with nuance. Such capability is crucial for addressing legal issues like precedent analysis, data privacy, bias mitigation, intellectual property, contract review and compliance, legal research, risk management in mergers and acquisitions, and automated redaction of sensitive information. By understanding how embeddings distinguish between concepts, attendees can draw parallels to their own legal reasoning processes, gaining insights into how these AI mechanisms intersect with legal frameworks. This session encourages legal professionals to explore the intellectual and professional possibilities that embeddings present, deepening an understanding of AI’s role in law. 2. Topic: TrustGraph: AI Powered Knowledge Graphs Meet Scalable Data Engineering Speaker: Mark Adams from TrustGraph Heavily regulated industries often see regulations as a barrier to innovation. When regulations are coupled with disconnected data silos, innovation grinds to a halt. Critical information is buried in thousands of pages - tens of thousands of pages - of technical designs that must couple to regulatory requirements. Whether it’s legal texts, compliance docs, or even industry best practices, connecting these data silos is essential to enabling technical innovation. In this technical presentation, Mark will provide a brief overview of the TrustGraph open source framework and how it can break down these information barriers and connect the most complex of data silos. The focus will be on demonstrating how TrustGraph deploys reliable, scalable, and accurate AI agents through its modular design and innovative features. Live demo of course! 3. Topic: What are AI assistants and how can they help me and how can I put AI in production? Speakers: Christoffer Noring and Liam Hampton from Microsoft Their talk and demo will cover LLMs, Tool calling, Assistants and also showcase some practical examples where assistants shine. Prepare to be inspired and hopefully get started to create your own AI Assistant. We'll also look into IaC, infrastructure as code, some tooling associated, and how to deploy your apps. By the end of the meetup we will have gained practical, actionable insights and takeaways that can accelerate development and deployment of NLP in production for Legal applications. Schedule 18.00: Doors Open 18:00-18.30: Networking (food, drink) 18.30-20.00: Talks 20.00-21.00: More networking Extra special thanks to our sponsors and speakers:
About the speakers
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Unlocking information in the Legal sector using Assistants, VectorDBs, GraphDBs
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Empowering Data Teams & Scaling GenAI: A Meetup for Innovators
2024-09-26 · 15:30
Join us for an exciting meetup where we dive into the latest innovations in data infrastructure and AI! Discover how industry experts from H&M have empowered data teams with self-serve infrastructure, reusable components, and automation to boost efficiency. Plus, learn from Kyndryl’s Olga Arvidson on overcoming the challenges of scaling GenAI. This is the perfect opportunity to network with fellow data professionals, gain insights, and explore cutting-edge solutions that drive business success. Don’t miss out—sign up now for this free event, with food and drinks provided by Kyndryl! Agenda: 17:30 - 18:00: Doors open 18:00 - 18:10: Welcome 18:10 - 18:40: Empowering Data Teams: Self-Serve Infrastructure, Reusable Components & Automation 18:40 - 19:10: Break 19:10 - 19:40: Struggling to scale GenAI. You are not alone! 19:40 - 20:30: Networking – Presentations: Empowering Data Teams: Self-Serve Infrastructure, Reusable Components & Automation Mohinuddin Salahuddin & Rashidul Islam, H&M In this session, we will explore how our organization has revolutionized its data landscape by implementing self-serve data infrastructure, automating processes using CI/CD pipelines, and building reusable components. Discover how these innovations have empowered our data teams to work more efficiently and independently, reducing bottlenecks and accelerating development cycles. We’ll delve into the tools and strategies that have enabled us to create a scalable, reliable, and agile data environment, ensuring high-quality data delivery and continuous improvement. Join us to learn how you can leverage these approaches to transform your own data operations and drive business success. Speakers Bio: Mohinuddin Salahuddin is a tech professional with over 18 years of software development experience and 8 years in data engineering. He has successfully delivered solutions across various industries, blending technical expertise with a strong focus on business needs. Outside of work, he enjoys movies and spending time with his family, which fuels his creativity and passion for technology. Rashidul Islam is a Product Manager at H&M building the next generation data platform to leverage the data for AI and analytics. His team is building a platform for enabling other teams to harness the data from different sources and make them AI and analytics friendly. He is passionate about making life easier for data engineers and analysts by providing improved developer experience. Struggling to scale GenAI. You are not alone! Olga Arvidson - Customer Partner, Kyndryl In this session Olga will give us a brief history of why gpt became big, and why there’s still a lot that needs to be done to get it adopted (with a bonus) Speakers Bio: Olga Arvidson is a Customer Partner at Kyndryl, where she excels in driving customer success and fostering strong partnerships. Olga has worked with the biggest hyperscalers (Microsoft and Amazon Web Services) and has been instrumental in shaping clients navigate their digital transformation journeys. Covering the strategy to implementation life cycle and has a wide industry spread. She leads the retail segment in the region as well as focused on how data can shape strategy. – About the event: Tickets: Sign up required. Anyone who is not on the list will not get in. The event is free of charge. Capacity: Space is limited. If you are signed up but unable to attend, please change your RSVP 2 days before the event. Food and drinks: Food and drinks are sponsored by Kyndryl. Questions: Please contact the meetup organizers. – Code of Conduct The NumFOCUS Code of Conduct applies to this event; please familiarize yourself with it before attending. If you have any questions or concerns regarding the Code of Conduct, please contact the organizers. |
Empowering Data Teams & Scaling GenAI: A Meetup for Innovators
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**RSVP instructions: register on event website to receive joining link. (RSVP on meetup will NOT have joining link) Description: Chip Huyen is a writer and computer scientist currently at Voltron Data, working on GPU-native data processing and open data standards (Ibis, Apache Arrow, Substrait). Previously, she built machine learning tools at NVIDIA, Snorkel AI, and Netflix. In this fireside chat, Chip joins Hugo Bowne-Anderson to explore the unique challenges and opportunities in productionizing foundation models compared to traditional machine learning approaches. As AI systems become increasingly advanced and open-ended, ML engineers must adapt their strategies and techniques to ensure reliable, efficient, and scalable deployments. Key topics of discussion will include:
Join us for a conversation on the forefront of AI engineering, and discover strategies for navigating the shift to foundation models in your organization. Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at our meetups, receive prominent recognition as sponsors, but also gain exposure to our extensive membership base of 350K+ AI developers worldwide. |
From ML Engineering to AI Engineering Foundation Models with Chip Huyen
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**RSVP instructions: register on event website to receive joining link. (RSVP on meetup will NOT have joining link) Description: Chip Huyen is a writer and computer scientist currently at Voltron Data, working on GPU-native data processing and open data standards (Ibis, Apache Arrow, Substrait). Previously, she built machine learning tools at NVIDIA, Snorkel AI, and Netflix. In this fireside chat, Chip joins Hugo Bowne-Anderson to explore the unique challenges and opportunities in productionizing foundation models compared to traditional machine learning approaches. As AI systems become increasingly advanced and open-ended, ML engineers must adapt their strategies and techniques to ensure reliable, efficient, and scalable deployments. Key topics of discussion will include:
Join us for a conversation on the forefront of AI engineering, and discover strategies for navigating the shift to foundation models in your organization. Sponsors: We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at our meetups, receive prominent recognition as sponsors, but also gain exposure to our extensive membership base of 350K+ AI developers worldwide. |
From ML Engineering to AI Engineering: Navigating the Shift to Foundation Models
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ReactJS Girls #27
2024-04-16 · 17:00
Mark your calendars! The award-winning community, ReactJS Girls is back for its spring edition!* Join us on 16 April for the ReactJS Girls #27 meetup! We've got an amazing lineup of speakers you won't want to miss. *Please note that our meetup is a free ticketed event, meaning that if you want to join us in person you will need to reserve your spot on Eventbrite. Reserve your seat: https://www.eventbrite.co.uk/e/reactjs-girls-27-tickets-871920667187 This meetup is organised by YLD and sponsored by Sainsbury's and AWS. All talks will be recorded and shared on the Tech Talks YLD YouTube channel. Confirmed talks: “Top tips and tools for useful code reviews” with Sophie O’Donnell (Software Engineer, Sainsbury's) “Unlocking fun experiments: Exploring the Web Speech API” with Ana Rodrigues (Frontend Rodrigues, Hactar) "Unravelling React Hooks: Old and new" with Dara Olayebi (Software Engineer, Spotify) The evening's agenda to be shared soon! Thank you to YLD for organising as well as Sainsbury's and AWS for sponsoring this event. Who are YLD? YLD is one of London’s fastest-growing product design and software engineering consultancies. They are experts in a variety of technologies and product development services, including React.js, Node.js and Design Systems, and have helped companies such as Trainline, Dazn, The Economist, Doctorlink, and many more to build exciting products and platforms. YLD is committed to the Open Source community that aims to create a sustainable product culture and delivery capabilities in each piece of work. YLD is hiring - check out the job page Join the conversation: Who are Sainsbury's? While you may know them as Sainsbury’s, the supermarket, they’re also Sainsbury’s, the retail game-changer. For over 150 years, they’ve been finding new ways of offering great-quality food at competitive prices, but they’ve always moved forward by finding better ways to serve their customers. Today, they’re bringing Digital, Tech and Data together like never before. Who are AWS? Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. |
ReactJS Girls #27
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Build and Deploy Scalable Real-Time Applications
2023-09-21 · 17:00
Please register through the following link:
When Redis meets JSON, microservices, Clouds and Containers. Join us for our next meetup in the Redis London office where we will showcase how easy it is to build real-time applications using Redis Stack, RedisInsight, JSON, and search. We’ll show how to scale both Redis deployments and microservices – whether you’re using managed services on public cloud with Redis Enterprise Cloud, or retaining more architecture options and control with Kubernetes-based deployment and automation. The meetup will consist of 2 sessions: Session 1: Real-time scalable applications powered by Redis, JSON, Vector Similarity and Search Get customers the data they need – faster. Developers and architects who build applications turn to real-time search for the performance required to keep users happy – because the competition is always just a click away. Speed up your applications with Redis’ real-time indexing, querying, and full-text search engine for JSON. Search and Query is a flexible indexing, query and search engine that delivers sub-millisecond results. We’ll also touch on Redis’ vector similarity search capabilities. Search and Query integrates with Java with Lettuce, Jedis or even Spring Boot / Spring Data with easy-to-use object mapping and repository interfaces and annotations. You will learn how Search and Query overcomes common application challenges, including:
Session 2: Microservices, Redis, Cloud and Kubernetes - patterns for deploying quickly, reliably and at-scale. Deploying apps using the KubernetesAPI has made life easier for developers, especially when deploying across multiple regions or environments. But why stop there? Use the KubernetesAPI to provision and scale Redis databases as well, with the size, reliability and capabilities your app needs. – all fully automated so you can focus on your app rather than the infrastructure. But that’s not all. In a distributed environment you need a lightweight, asynchronous way to communicate between applications – one that’s also scalable, resilient, and reliable. We’ll show how Redis Streams couples applications/microservices loosely, allowing graceful degradation and restore at the same time. That’s all while keeping data-duplication, bandwidth, and egress costs at a minimum. Finally, as part of your journey to cloud, consider deploying Redis as a fully managed service. Discover the available options to deploy Redis natively to Google Cloud, Amazon, or Azure and see how to start right away with small caches, large databases with persistence, and Redis database with JSON/RediSearch support. In this session you will learn:
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Build and Deploy Scalable Real-Time Applications
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Belgium dbt Meetup #2 (in-person)
2023-06-14 · 15:45
The 2nd edition of the Belgium dbt Meetup will take place in Ghent on June 14th. dbt Meetups are networking events open to all folks working with data! Talks predominantly focus on community members' experience with dbt, however, you'll catch presentations on broader topics such as analytics engineering, data stacks, data ops, modeling, testing, and team structures. 🏠Venue Host: OTA Insight, Gaston Crommenlaan 6, Gent 🤝Organizers: Lise Kerckhove & Sam Debruyn To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb 📝Agenda: 17h45: welcome with food & drinks 18h30: Data Mesh with dbt (Charles Verleyen & Lukasz Sciga - Astrafy) 19h15: Boosting Collaboration and Productivity with DevContainers and dbt Core (Mateusz Marciniewicz - dataroots) 19h45: break 20h: Documenting KPIs: Beyond dbt Semantic Layer (Juan Manuel Perafan - GoDataDriven/Xebia) 20h45: networking & drinks To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb Data Mesh with dbt (Charles Verleyen & Lukasz Sciga - Astrafy) Data Mesh has become a powerful buzzwords and every data practitioner has heard about it. The major problem with buzzwords is that there are a lot of interpretations around them and this can generate quite some frustration. In case of data mesh, it can also slow down the adoption of this amazing new paradigm. In this session I will demystify the main concepts of data mesh and bring those to life with dbt with concrete data products from Astrafy real data. You can expect to see data mesh in actions in a very pragmatic way as we will cover as well activation of data from those data products by downstream applications (leveraging dbt semantic layer). Charles is a 34 years old data engineer and has been working for the last 10 years in different industries before founding his company recently with a focus on providing modern data services. He is passionate about open-source technologies and strives to deliver automated data solutions that can scale. Aside from his work, he's a sport lover with special dedication for tennis. Boosting Collaboration and Productivity with DevContainers and dbt Core (Mateusz Marciniewicz - dataroots) In this presentation we will discuss the benefits of using devcontainers together with dbt Core for data modeling and transformation. DevContainers provide a consistent, isolated environment for development, ensuring that all developers have the same set of tools and dependencies installed. This makes it easier to collaborate and reduces the risk of conflicts or errors. By adding dbt Core to the devcontainer, developers can take advantage of its powerful features and leverage the capabilities of the VS Code IDE. This can greatly simplify the process of working with data and onboarding process of new employees, allowing developers to focus on creating value rather than managing infrastructure. Mateusz is Polish-born with a background in Computer Science. He came to Belgium to pursue his studies, and he decided to stay and build his career here. In his free time, he enjoys sports and camping. Documenting KPIs: Beyond dbt Semantic Layer (Juan Manuel Perafan - GoDataDriven/Xebia) The dbt Semantic Layer has made a lot of teams reflect on the way they document their KPI's. But why stopping there? In this talk, I will break down all the knowledge required to understand a metric. From how it ties to your business goals, perverse incentives, to its technical implementation. Juan's mission is to help data professionals to create reliable production-grade data workflows that are easy to maintain, have been properly tested, and are impeccably documented. Half of the time, he teaches analysts how to apply engineering best practices to their workflows. The other half, he helps engineers to get in the shoes of the analysts. --------------- ➡️ Join the dbt Slack community: https://www.getdbt.com/community/ 🤝 For the best Meetup experience, make sure to join the #local-belgium channel in dbt Slack (https://slack.getdbt.com/)! --------------- dbt is a data transformation framework that lets analysts and engineers collaborate using their shared knowledge of SQL. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: https://www.getdbt.com/ |
Belgium dbt Meetup #2 (in-person)
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