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  • San Francisco Meetup: Operational AI

    At this OSA Community meetup, engineers and practitioners will share how they’re building real-time analytics and AI systems at production scale: streaming pipelines, real-time databases, feature stores, event-driven architectures, and the open-source technologies making it all possible.

  • Seattle Meetup: Operational AI

    At this OSA Community meetup, engineers and practitioners will share how they’re building real-time analytics and AI systems at production scale: streaming pipelines, real-time databases, feature stores, event-driven architectures, and the open-source technologies making it all possible.

  • Observability on ClickHouse®: What Breaks at Scale and How to Model Around It

    Online Event

    Every ClickHouse® schema works fine at 10GB. Most fall apart somewhere between 1TB and 100TB, and rarely for the reason you'd guess. Join Altinity and Last9 as they walk through the real schema and architecture decisions behind a unified observability platform (logs, metrics, and traces on one shared ClickHouse layer) running at 480M log lines a minute: ORDER BY and cardinality tradeoffs, when to filter and reshape data before ingestion versus after, tiered hot/warm/cold retention design, and where demo-friendly modeling choices turn into production incidents.
    You'll leave knowing how to make these calls before they become production incidents, not after. Bring your questions for live Q&A with the presenters. Presenters: Josh Lee (Altinity) and Prathamesh Sontpatki (Field CTO, Last9).

  • Apache Iceberg Meetup – Open and Interoperable Lakehouse for AI

    Pasadena Convention Center 300 E Green St, Pasadena, California, United States

    Join Google Cloud, Altinity, and Fivetran for an Apache Iceberg meetup at the Google Austin office. This event is for anyone working with Iceberg, from hands-on practitioners to data engineers and others who are curious about open table formats and where the Iceberg ecosystem is heading.
    ​Hear technical talks from speakers at Google Cloud, Altinity, and Fivetran on their latest work in the Iceberg OSS ecosystem, and use the time to connect with others building and learning in this space.

  • FOSSY 2026: What’s a Data Lake and What Does It Mean For My Open Source Stack?

    Bonaventure Hotel 900 de La Gauchetière West,, Montreal, Quebec, Canada

    Data lakes on open table formats like Iceberg are a popular way to manage large datasets for analytics, data science, and AI. This talk explains how data lakes work and how to adapt open source analytic stacks to use them. First, we'll tour projects like Arrow, Iceberg, and Unity Catalog that make data lakes possible. Next, we'll see how analytic engines like DuckDB, ClickHouse®, and Spark are adapting.
    Finally, we'll survey a few projects that enable applications written in Python, Golang, or Rust to deliver fast queries. You'll have to build the app yourself, but this talk will show you a path to use data lakes and open source successfully.

  • FOSSY 2026 – O11y in One: Exploring ClickHouse® as a Unified Telemetry Database

    OpenTelemetry unified how we collect telemetry, but most teams still juggle a handful of monitoring backends. Could ClickHouse® be the single datastore that brings them together?
    Josh explores what makes ClickHouse a strong fit for traces and logs, how it integrates with OpenTelemetry, Prometheus, Grafana, and Kafka, and the open-source observability platforms built on it, including CoRoot, QRYN, and SigNoz.

  • Berlin Meetup: Building AI Applications at Scale

    At this OSA Community meetup, engineers and practitioners will share how they’re building real-time analytics and AI systems at production scale: streaming pipelines, real-time databases, feature stores, event-driven architectures, and the open-source technologies making it all possible.

  • Warsaw Meetup: Building AI Applications at Scale

    At this OSA Community meetup, engineers and practitioners will share how they’re building real-time analytics and AI systems at production scale: streaming pipelines, real-time databases, feature stores, event-driven architectures, and the open-source technologies making it all possible.