WarpStream

Shared nothing vs. shared storage: we take a deep dive into these two architectures and discuss why WarpStream uses a shared storage architecture 👉 https://lnkd.in/ejeF8uMt

Are you going to AWS re:Invent? Stop by the WarpStream booth (#1871 on the expo floor at The Venetian) to learn how WarpStream can reduce your Kafka costs by 80+% and simplify operations ➡️ https://lnkd.in/gxCaNhX3

WarpStream BYOC Schema Registry is available. Get all the standard Kafka Schema benefits, plus unique features like: ☁️ Lives in + never leaves your cloud. 📈 Easy to scale. 💸 No interzone networking fees. 🤝 No need to wait for "leaders" to be elected. Consensus is handled by WarpStream's metadata store and Agents can read and write. Learn more: https://lnkd.in/erMpC5wA

WarpStream is designed to look and feel exactly like a Kafka cluster, but under the hood it has a different implementation and architecture. Because our Agents are stateless, we have to square a circle. We cover how we did that ➡️ https://lnkd.in/evAfPq-k

Interested in WarpStream's zero disk architecture? Check out this technical talk where we go over our cloud-native design and its benefits. Learn even more about our architecture 👉 https://lnkd.in/giZ8YzhN

Are you going to AWS re:Invent? Stop by the WarpStream booth (#1871 on the expo floor at The Venetian) to learn how WarpStream can reduce your Kafka costs by 80+% and simplify operations ➡️ https://lnkd.in/gxCaNhX3

Shared storage architectures, on the other hand, have a lower theoretical scale ceiling, but in practice they are often much easier to scale than their shared-nothing counterparts. The reason for this is simple, but not obvious: shared storage systems separate data from metadata which introduces a layer of abstraction between the user-facing domain model and the physical sharding used by the storage engine. As a result, it is possible to choose at runtime how much of the resources we allocate to storing or retrieving data for a particular key, rather than forcing us to choose it when we create the cluster topology ➡️ https://lnkd.in/ejeF8uMt

🛰️ Meet Orbit: offset-preserving migration + replication from any source Apache Kafka cluster to WarpStream. Available for all WarpStream accounts. 🛰️ Blog: https://lnkd.in/eVFvKNAn Learn more: https://lnkd.in/eagctaZv

Measuring consumer group lag using offsets isn't always the best approach. Time lag makes it much easier to monitor and troubleshoot consumer groups. Time lag measurement is built directly into WarpStream – no third-party tooling is needed ➡️ https://lnkd.in/e56R8x43

WarpStream's control plane now supports Google Cloud! Learn more about cloud providers and regions supported here ➡️ https://lnkd.in/dR_3bSyd.