WarpStream Blog

WarpStream's Zero Disk / Diskless Architecture enables a BYOC deployment model that is secure by default and does not require any external access to the customer's environment.

Announcing Bento, the open source fork of the project formerly known as Benthos.

Follow up to "Tiered Storage Won't Fix Kafka", this post covers all the different advantages that WarpStream's Zero Disk / Diskless Architecture provides over Apache Kafka.

Tiered storage is a hot topic in the world of data streaming systems, and for good reason. Cloud disks are (really) expensive, object storage is cheap, and in most cases, live consumers are just reading the most recently written data. Paying for expensive cloud disks to store historical data isn’t cost-effective, so historical data should be moved (tiered) to object storage. On paper, it makes all the sense in the world.

Cloud disks are expensive. Really expensive. Most engineers intuitively understand this, but the magnitudes are worth considering.

Many of today's most highly adopted open source “big data” infrastructure projects – like Cassandra, Kafka, Hadoop, etc. – follow a common story. A large company, startup or otherwise, faces a unique, high scale infrastructure challenge that's poorly supported by existing tools. They create an internal solution for their specific needs, and then later (kindly) open source it for the greater community to use. Now, even smaller startups can benefit from the work and expertise of these seasoned engineering teams. Great, right?

How we leverage Antithesis to deterministically simulate our entire SaaS platform and verify its correctness, all the way from signup to running entire Kafka workloads.

A huge part of building a drop-in replacement for Apache Kafka® was implementing support for compacted topics. The primary difference between a “regular” topic in Kafka and a “compacted” topic is that Kafka will asynchronously delete records from compacted topics that are not the latest record for a specific key within a given partition.