Operations | Monitoring | ITSM | DevOps | Cloud

In this talk, Fintan Halpenny discusses the current state of open source forges, why GitHub is becoming more hostile, what other forges are out there, and why you should consider Radicle to be the next home for your open source project. About Fintan Fintan Halpenny (@fintohaps) has been a part of the Radicle project for 6 years, seeing the different twists and turns of this ever-evolving idea and protocol. When he’s not programming, he’s playing around with music, or looking at the world upside-down on his hands.

Welcome to “Elephant in the Room – Presented by Aiven.” In this live series, we dig into the real-world challenges developers face when building modern applications on PostgreSQL, the elephant everyone depends on but few fully leverage. Episode 2: Join Jay Miller, Staff Product Advocate at Aiven, and special guest Alexis Roberson – senior developer educator, and feature flag enthusiast – as they explore how developers can use feature flags to ship faster, reduce risk, and create better user experiences with PostgreSQL-backed applications.

Kyle McCullough, Co-Founder & CTO at OpsHelm, former Head of Infrastructure Engineering at ProdPerfect and Lead Engineer at Vivid Seats, joins host Hugh Evans to explore what it takes to build real-time, multi-cloud streaming infrastructure at scale. As Co-Founder and CTO of OpsHelm, Kyle shares how his team processes hundreds of terabytes of cloud events daily, maintaining sub-second visibility while reducing streaming costs by 78% after migrating from MSK and NATS to Aiven Diskless Kafka.

Join host Hugh Evans for a high-energy hour of rapid-fire conversations with experts shaping the future of streaming data. Broadcasting directly from Current 2025 in New Orleans, this episode packs six lightning interviews into one hour, mixing deep technical insights with a few fun surprises along the way. Guests include Olena Kutsenko (Confluent), Ben Gamble (Ververica), Alex Merced (Dremio), Sion Smith (OSO), Zander Matheson (ex-ByteWax, Confluent), Hojjat Jafarpour (DeltaStream), and Tom Scott (Streambased).

Michael Drogalis, founder of ShadowTraffic and former Confluent stream-processing lead, joins Hugh Evans to tackle one of the hardest problems in Kafka: generating realistic synthetic test data. From his work on Kafka Streams, ksqlDB, and the Onyx platform, Michael shares practical insights for engineering teams struggling with testing and demo data at scale.

Join Hugh Evans on Get KafkaNated as he sits down with Tristan Stevens, VP of Global Customer Success at Redpanda Data and former Cloudera streaming expert. Tristan shares his unique perspective on the evolution of streaming infrastructure, drawing from years of experience leading customer success in both Hadoop ecosystems and next-generation streaming platforms.

Hounded with operational overhead and slow queries? Learn how to fetch data faster and simplify database management with Aiven for PostgreSQL. Aiven’s fully managed PostgreSQL service delivers high performance, automated scaling, and built-in resilience - without the headaches of manual setup and maintenance. Discover how to optimise queries, reduce latency, and stay focused on building your applications instead of managing infrastructure.

Aiven for ClickHouse is back - better, faster, and stronger than ever. Explore how its new capabilities make it easier to build real-time analytics pipelines, handle massive query workloads, and extract insights at scale. Whether you’re streaming events, powering dashboards, or running analytics applications, Aiven for ClickHouse helps you move from data to decisions in record time.

Learn how to stream data from Kafka into ClickHouse using Aiven’s integration wizard. In this demo, we show you how to generate sample logistics data in Kafka, configure the integration to map Avro-formatted fields, and connect to ClickHouse to view and query the ingested data. We also demonstrate how to create a materialised view in ClickHouse to store and query streamed data efficiently, making real-time analytics fast and easy.