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What I got wrong about ClickHouse as a Kafka Person

Kafka is brilliant at moving events around, but sooner or later someone wants to actually query those events, perhaps aggregations, dashboards, or ad-hoc analytics over billions of rows. That is where ClickHouse comes in. It's the option for when stream processing is more than you need, but warehouse query latency is more than you'll tolerate.

If Kafka Is Down, Everything Is Down | Wolt + Aiven

Wolt operates in 30+ countries. Every order, every restaurant, every courier runs on the same infrastructure. When it breaks, it doesn't slow things down, it stops everything. Wolt's VP of Engineering shares why Apache Kafka sits at the heart of their platform, what seven years of partnership with Aiven looks like in practice, and how they're building the data foundation needed to get AI working at scale.

Apache Kafka Share Groups are NOT true queues. Here's why that's a good thing.

This Spring, the Apache Kafka community released version 4.2 with a “production-ready” Share Group feature. Also known as a “Kafka queue” people were eager to see this feature because it introduced elastic consumer scaling, individual message acknowledgments, and built-in "poison pill" handling; similar to what you'd find in traditional message brokers like RabbitMQ and ActiveMQ.

Who's Driving Your Data? How to Regain Control of Your Apache Kafka Infrastructure

Apache Kafka often succeeds faster than operational maturity can keep pace. Consumer lag, partition drift, and configuration sprawl create dangerous blind spots. Learn how unified visibility, governance, and automation transform reactive Kafka operations into predictive control.

What 16,808 Kafka Clusters Tell Us About Data Streaming

Half a year ago, we launched a free tier cloud Kafka. We have 16,808 clusters so we got curious: what are these builders telling us about the state of Apache Kafka? The headlines this quarter suggest Kafka is dying because the streaming market is consolidating. At Aiven we see the opposite. Kafka is not shrinking. It is spreading outward from enterprise platform teams into the hands of individual builders. We are now seeing >200 new Kafka clusters created per day on the free tier.

Building for the 80%: The New Developer Tier for Apache Kafka

When we launched the Free Tier, we made a promise: graduating to a paid tier shouldn’t feel like switching platforms. It should simply feel like tapping “Continue watching in HD”. The Developer Tier for Aiven for Apache Kafka is that upgrade. $35 a month for the serious, ongoing workloads that haven’t yet reached enterprise scale. Everything we said was coming is now live.

Get Kafka-Nated S2E4: Debugging the Kafka-Iceberg Connector

In this episode of Get Kafka-Nated, host Hugh is joined by Anatolii Popov, Senior Software Engineer at Aiven, to dive into one of the most talked-about integrations in the modern data stack: Kafka to Apache Iceberg. Anatolii was accepted to speak at Iceberg Summit 2026 on debugging the Kafka Connect Iceberg Connector, and in this session we’ll cover the talk he would have given, including common failure modes, debugging locally, catalog complexities, and where the integration is heading next.

The Art of Scaling: How to Determine the Right Number of Apache Kafka Partitions

Apache Kafka partition count isn't just a number—it defines parallelism, ordering, and operational complexity. Learn the formula to balance throughput requirements with maintenance costs, avoid common anti-patterns, and find your 'Goldilocks' number for production-ready performance.

Beyond the Queue: Modernizing Legacy Middleware with Apache Kafka 4.x

Apache Kafka 4.x eliminates the final barriers to legacy middleware modernization. With KRaft mode removing ZooKeeper dependency and native queue semantics bridging the gap, enterprises can finally transition from point-to-point messaging to event-driven architectures.