Operations | Monitoring | ITSM | DevOps | Cloud

Get Kafka-Nated Bonus Episode: Viktor's Kafka Journey

In this episode, we sit down with Viktor Somogyi-Vass, a veteran of the Kafka ecosystem who recently joined Aiven after nearly a decade at Cloudera. Viktor shares his journey from becoming an Apache Kafka Committer to tackling the most complex challenges in modern cloud-native streaming. We dive deep into the architectural shift from traditional data centers to the cloud, exploring how Diskless Kafka (Disaggregated Storage) is slashing costs and why KIP-1134 is the next frontier for true multi-tenancy.

Get Kafka-Nated S2E2: Viktor Kessler on Apache Iceberg, OSS, and Community

Viktor Kessler is both co-founder of Vakamo, a company specialising in governance for Iceberg, and a major contributor to Lakekeeper, an open-source Iceberg REST catalog. His contributions to the Iceberg aren’t limited to pull requests: Viktor is also the organiser of the Apache Iceberg Meetup Europe and hosted some fantastic events in 2025 that brought the Iceberg community together all over Europe from Dublin to Vilnius.

Get Kafka-Nated Special Episode: A Kristmas Kafka

Join us for A Kristmas Kafka, an informal and deeply technical roundtable with Apache Kafka committers, contributors and community leaders. This conversation brings together the people closest to the Kafka codebase to reflect on where the project started, how it has evolved and what lies ahead for streaming systems.

Load Testing Kafka #speedscale #kafka #loadtesting

Message brokers are a critical component of modern distributed systems, facilitating asynchronous communication between services. Load testing message broker integrations requires special considerations since the interaction patterns differ from traditional HTTP-based APIs. Speedscale provides specialized tooling to help you load test applications that integrate with message brokers by.

The Ultimate Guide to Kafka Monitoring Best Practices, Metrics, and Tools

If you’re operating modern, data-driven applications—which, let’s face it, you likely are—Kafka serves as the central streaming platform, delivering data in real-time. It’s impressive, extremely fast, and exceptionally powerful for achieving high throughput and scalability. But here’s the catch: with significant power comes the need for vigilant oversight. Neglecting your Kafka environment is like driving a racecar with your eyes closed. It’s bound to end badly.

Benchmarking Diskless Topics: Part 1

We benchmarked Diskless Kafka (KIP-1150) with 1 GiB/s in, 3 GiB/s out workload across three AZs. The cluster ran on just six m8g.4xlarge machines, sitting at <30% CPU, delivering ~1.6 seconds P99 end-to-end latency - all while cutting infra spend from ≈$3.32 M a year to under $288k a year. That’s a >94% cloud cost reduction. Extending Apache Kafka does come with an explicit tax.