Learn how WarpStream leverages @antithesis.com to do deterministic simulation testing for our entire SaaS — from sign up to creating a virtual cluster to producing and consuming data, and why we chose it over Jepsen 👉 buff.ly/Scdr36b

What did Robinhood gain by switching from Kafka to WarpStream for its logging workloads? 💸 A 45% cost savings. 📊 Auto-scaling that keeps clusters right-sized. 👍 Simpler ops (no more noisy neighbors or complex networking). buff.ly/Ef5xoBJ

Did you know WarpStream supports transactions? Our blog reviews what Apache Kafka transactions are and how they work in WarpStream.

Using WarpStream, @grafana.bsky.social decoupled the read & write paths in Mimir, eliminated inter-AZ charges, & benchmarked up to 7.5 GiB/s of aggregate compressed throughput. "We didn’t encounter any bottlenecks, demonstrating that WarpStream could meet our scaling needs." 👉 buff.ly/vK6d7mf

ACLs are needed for security, but enabling them in production carries risks. WarpStream ACL Shadowing evaluates ACLs before enforcing them, so engineers can identify and fix issues safely.

🎯 pprof is an amazing tool for debugging memory leaks, but what about when it's not enough? Read about how we used gcore and viewcore to hunt a particularly nasty memory leak in a large distributed system 👉 buff.ly/KHL5Jog

🌑 Entire cloud region goes dark? Your streams shouldn't. WarpStream's Multi‑Region Clusters replicate every write across 3 regions, delivering true RPO=0 and a 99.999% uptime SLA. Never lose a record, even during region‑wide outages 👉 buff.ly/jFF1Sjv

WarpStream supports compacted topics. In this blog, we go over: 🤔 What compacted topics are. 🛠️ Why they're challenging to implement. 🗜️ How they work in Kafka. 👍 How they work in WarpStream (with an unexpected benefit). buff.ly/UuFlmF9

WarpStream Diagnostics continuously analyzes your clusters to identify potential problems, cost inefficiencies, and ways to improve things ➡️ buff.ly/AV9UBzA

WarpStream is designed to look and feel exactly like a Kafka cluster, but it has a different implementation and architecture. Because our Agents are stateless, we have to square a circle. We explain how we did that.

WarpStream maintains the same ordering and idempotency guarantees as Kafka. Learn how we do this and how it enables our Agents to massively parallelize writes.

In addition to supporting Avro, WarpStream BYOC Schema Registry supports Protobuf. This functionality maintains complete compatibility with Confluent’s Schema Registry.

WarpStream Tableflow's architecture takes inspiration from React's virtual DOM, enabling exactly-once ingestion and millions of Iceberg updates per second while ensuring data lake correctness ➡️ buff.ly/KOSQ29y

While working on Adaptive Metrics, we learned that #Kafka’s architecture solved problems we struggled with — even if running it wasn’t our favorite part. Then WarpStream appeared! Kafka semantics, object storage economics. Watch the new Big Tent podcast episode: https://youtu.be/iOiPD-gxgRs

Join us for a free webinar on January 14 at noon CST. Learn about our diskless architecture and: 💸 How we reduce costs by 80+%. 🔐 Our zero-access security approach. 📈 High-throughput customers. ☁️ How WarpStream runs in your own cloud. Register 👉 buff.ly/yAxGGJW

What are the benefits of WarpStream Bring Your Own Cloud (BYOC) and why is zero better? 💾 Zero disks (diskless). 💸 Zero interzone networking fees. 📊 Zero ops auto-scaling. 🔒 Zero access. buff.ly/GdXYk5Z

When S3 is your storage engine, you have to minimize the number of PUTs and GETs you use, as they are the same charge regardless of file size. Learn how we optimize read + write paths to drive down costs.

WarpStream Managed Data Pipelines allow you to do ETL and stream processing without any additional infrastructure. Learn more ➡️ buff.ly/OK0vXdz Check out the docs 📕 buff.ly/bWXop0z

Learn how WarpStream’s multi-region infrastructure presents as a single pane of glass in the web Console while still being resilient to regional failures.

WarpStream Tableflow support keeps expanding. Check out our latest updates. ✅ Get early access: buff.ly/EdGXb1Q 📕 Tableflow docs: buff.ly/cGDz7xY

Dealing with rejection (in distributed systems): 🤔 Theory vs. practice. 📈 What is backpressure? ✨ The backpressuring Goldilocks zone. 📉 How we manage backpressure for our Produce and Fetch requests in our Agents (with before-and-after results).

Measuring consumer group lag in Kafka 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 👉 buff.ly/gDGiEpZ

Thanks to Snowcat Cloud for making this video about Bento, the free, open-source stream processing framework maintained by WarpStream. Learn more 👇 Blog about how it came to be 👉 buff.ly/9MX2bXS Bento website 👉 buff.ly/WxPmqcX

ACLs are needed for security, but enabling them in production carries risks. @warpstream.com ACL Shadowing evaluates ACLs before enforcing them, so engineers can identify and fix issues safely 👉 www.warpstream.com/blog/shadowi...

⚫ Dim the lights. WarpStream's Console now has a dark mode. Access it in Account > Appearance. 🔅

WarpStream supports SPIFFE (Secure Production Identity Framework For Everyone) for mTLS and ACLs, enabling automated, cryptographically-verified service identities for strong mutual authentication and granular access control.

WarpStream Tableflow's architecture takes inspiration from React's virtual DOM, enabling exactly-once ingestion and millions of Iceberg updates per second while ensuring data lake correctness.

🗑️ Distributed systems built on object storage share a common problem: removing files that have been logically deleted, either due to data expiry or compaction. What's the solution? We'll give a hint: it's not bucket policies or synchronous deletion. 🪣

Need to get Kafka topics into Iceberg tables? Don't use Spark or rely on tiered storage. Use WarpStream Tableflow. It's so simple that it almost feels like magic and does it with low latency while taking care of compaction.

What did Robinhood gain by switching from Kafka to WarpStream for its logging workloads? 💸 A 45% cost savings. 📊 Auto-scaling that keeps clusters right-sized. 👍 Simpler ops (no more noisy neighbors or complex networking).

WarpStream's Multi‑Region Clusters replicate every write across 3 regions, delivering true RPO=0 and a 99.999% uptime SLA. Never lose a record, even during region‑wide outages. Blog: buff.ly/LpAieyW Product page: buff.ly/QYBjD0g Docs: buff.ly/KetVazo

Did you know Cursor's Kafka-compatible data streaming infrastructure is powered by WarpStream? Learn about: 🙌 Why they picked Warpstream over OSK ⏲️ Latency 🔒 Data privacy 📊 Scaling and zero ops 🚀 And more buff.ly/I1VJbZa

Join @warpstream.com and @grafana.bsky.social for a Meetup on December 9 in Austin, TX. 🔐 Learn how WarpStream's zero-access BYOC model guarantees it is secure by default. 🤖 Learn about Grafana Labs AI assistant. Register 👉 buff.ly/tu9MEO1

WarpStream BYOC Schema Registry is expanding: In addition to the existing support for Avro, it now includes support for Protobuf schemas. This functionality maintains complete compatibility with @confluent.io's Schema Registry.

Goldsky was hitting the limits of Kafka at scale with tens of thousands of partitions and petabytes of blockchain data. By moving to WarpStream, they cut costs by 90%, removed bottlenecks, and now scale seamlessly toward 100 PiBs and beyond 👉 buff.ly/psYF3fN

What are the benefits of WarpStream's zero disk or diskless architecture? 💸 Reduced costs. 📈 Auto-scaling. 🎯 Workload isolation. 📊 Easy integration with Managed Data Pipelines. 🔒 Zero access and BYOC native.

Cloud disks are expensive. Really expensive. Most engineers intuitively understand this, but the magnitudes are worth considering 👉 buff.ly/48VFcVV

The phases of cloud infrastructure: 1️⃣ Software is given away. Add-ons sold. 2️⃣ Cloud migration. Costs went up instead of down. 3️⃣ Lift and shift BYOC with lots of fees. Learn how WarpStream was developed as cloud-first to solve these issues.

WarpStream Agent Groups isolate workloads within the same Kafka environment, enabling consistent performance, simplified operations, and seamless scalability, without sacrificing flexibility or blowing your budget. Learn more 👉 buff.ly/VgrsF0r

Learn how WarpStream leverages Antithesis to do deterministic simulation testing for our entire SaaS — from sign up to creating a virtual cluster to producing and consuming data, and why we chose it over Jepsen.

WarpStream Tableflow is the easiest, cheapest, and most flexible way to convert Kafka topic data into Iceberg tables with low latency, and keep them compacted. Learn more 👉 buff.ly/2FbyQWe

@superwall.bsky.social moves 100 MiB/s of events from @warpstream.com int @clickhouse.com Cloud, feeding a dataset of over 300 TB of total data that’s growing by 40 TB each month. WarpStream reduced Superwall's Kafka bill by 57%. Read the case study 👉 buff.ly/BzICDMu

WarpStream maintains the same ordering and idempotency guarantees as Kafka. Learn how we do this and how it enables our Agents to massively parallelize writes.

What are the benefits of WarpStream Bring Your Own Cloud (BYOC), and why is zero better? 💾 Zero disks. 💸 Zero interzone networking fees. 📊 Zero ops auto-scaling. 🔒 Zero access. buff.ly/rDmo83L

WarpStream is designed to look and feel exactly like a Kafka cluster, but it has a different implementation and architecture. Because our Agents are stateless, we have to square a circle. We explain how we did that.

Join @warpstream.com and @grafana.bsky.social for a Meetup on December 9 in Austin, TX. 🔐 Learn how WarpStream's zero-access BYOC model guarantees is secure by default. 🤖 Learn about Grafana Labs AI assistant. Register 👉 buff.ly/C46DTLC

WarpStream supports compacted topics. In this blog, we go over: 🤔 What compacted topics are. 🛠️ Why they're challenging to implement. 🗜️ How they work in Kafka. 👍 How they work in WarpStream (with an unexpected benefit).

Pixel Federation was using AWS MSK, and their Kafka bill was growing faster than their data volumes. Switching to @warpstream.com cut their bill and simplified operations.

With the buzz around diskless Kafka, it's worth revisiting our launch blog. WarpStream was built with zero disks and object storage in mind from the start to simplify operations and reduce costs ➡️ buff.ly/eT8OuPZ

Join us for an Apache Kafka® meetup on November 19 at 6 p.m. PST hosted by Salesforce. Hear from: @ryan.belgrave.me, Staff Software Engineer I, WarpStream Dan O'Reilly, Senior Software Engineer, Salesforce Register at buff.ly/xG42tT4