🗑️ 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. 🪣

Superwall moves 100 MiB/s of events from WarpStream into @clickhouse.com Cloud, feeding a dataset of over 300 TB of total data that’s growing by 40 TB each month. They reduced their Kafka bill by 57%. Read the case study 👉 buff.ly/nReaOkZ

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/hg8tIVE

How easy is it to use WarpStream Tableflow? It's "as fast and frictionless as possible." Check out Gordon Murray's guide where streams IMDB data to Kafka and lands it in Iceberg tables: buff.ly/HL5Ka9L.

When AI and data streaming converge, new possibilities emerge. Alex Haugland from Cursor joins @thedatagiant.bsky.social on Life Is But A Stream and shares how their AI-forward IDE uses @warpstream.com. Listen here 👉 cnfl.io/4nFETBV Watch now 👉 www.youtube.com/watch?v=WGka...

By switching from open-source Apache Kafka to WarpStream, ShareChat was able to implement zero-ops auto-scaling and saved 60% vs. multi-AZ Kafka. Video talk 👉 buff.ly/zAwvCxz Companion blog 👉 buff.ly/Uz186tV

WarpStream's Multi‑Region Clusters replicate every write across 3 regions, delivering RPO=0 and a 99.999% uptime. Never lose a record, even during region‑wide outages. Blog: www.warpstream.com/blog/no-reco... Product page: www.warpstream.com/multi-region... Docs: docs.warpstream.com/warpstream/k...

WarpStream Tableflow works with any Kafka-compatible source. Simultaneously ingest multiple different Kafka clusters to centralize your data in a single lake. Learn more 👇 Blog: www.warpstream.com/blog/the-cas... Product page: www.warpstream.com/tableflow Docs: docs.warpstream.com/warpstream/t...

Want global durability and zero cloud lock-in for your Kafka-compatible workloads? This guide walks through deploying WarpStream on Tigris, using it as a globally distributed S3-compatible object store. www.warpstream.com/blog/getting...

🌑 Entire cloud region goes dark? Your streams shouldn't. WarpStream's new 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. Read how it works ➡️ warpstream.com/blog/no-reco...

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

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.

Kafka's "noisy neighbors" problem (where workloads often compete for resources) can lead to increased latency, performance degradation, and failures. We review how to handle it with quotas, mirroring, and WarpStream Agent Groups.

It's a bold claim we're making: that we can reduce Kafka cloud costs by as much as 10x (by removing interzone networking fees and going diskless with object storage). See how our benchmarks show how we do that ➡️ buff.ly/AbdLFnZ

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.

S3 Express One Zone (S3EOZ) prices recently dropped by 85%. We've supported S3EOZ since December 2024. This latest pricing update means our latency is 3x better at only a 15% higher TCO.

WarpStream Diagnostics continuously analyzes your clusters to identify potential problems, cost inefficiencies, and ways to improve things ➡️ buff.ly/BGv99l7

Interested in WarpStream's diskless architecture? Check out this technical talk where we review our cloud-native design and its benefits. Learn even more about our architecture 👉 buff.ly/G0a50vE

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 ➡️ buff.ly/Y8JrJEq

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 WarpStream optimizes read + write paths to drive down costs ➡️ buff.ly/aO9fHnj

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/fBs4Y3x

What is WarpStream? @tlberglund.bsky.social explains storage and compute resources, the trade-offs in BYOC offerings, and how WarpStream provides a more secure and cloud-native solution. Learn more about BYOC 👉 buff.ly/3PoYSVC

By switching from open-source Apache Kafka to WarpStream, ShareChat was able to implement zero-ops auto-scaling and saved 60% vs. multi-AZ Kafka. They also shared some best practices for optimizing WarpStream ➡️ www.warpstream.com/blog/cost-ef...

Join Ryan World and Caleb Grillo on June 17 at 1 p.m. CDT for a WarpStream webinar. Learn about our architecture, how we reduce costs, zero ops auto-scaling, unique features like Agent Groups, and more. Register at buff.ly/nMyzKAG

Disaster recovery and data sharing between regions are intertwined. We explain how to handle them on Kafka and WarpStream, as well as talk about RPO=0 Active-Active Multi-Region clusters, a new product that ensures you don't lose a single byte if an entire region goes down.

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.

Character.AI uses @warpstream.com to power: ☁️ A 3 GiB/s Managed Data Pipeline with zero code in their cloud with no additional infrastructure. 📈 A scalable, near-real-time analytics engine. buff.ly/j1iNbma

🛰️ With Orbit, you can automatically and seamlessly transition from any Apache Kafka protocol-compatible source system to WarpStream while preserving offsets. Replicate topics, consumer groups, offset gaps, ACLs, and cluster configurations 👉 buff.ly/Y1YYzYP

🗑️ 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. 🪣

What are the benefits of @warpstream.com zero disk or diskless architecture? 📈 Stateless compute enables elastic scaling. 🎯 Isolate workloads with Agent Groups. 📊 Easy integration with Managed Data Pipelines. 🔒 Zero access and BYOC native. buff.ly/FuBWDES

WarpStream separates storage, compute, and metadata. The cloud provider manages the storage, the customer manages the stateless compute (the Agents), and WarpStream manages the metadata. No raw data ever leaves your environment.

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/ftpDSwo

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).

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: buff.ly/E8w0ZtP

S3 Express One Zone (S3EOZ) prices recently dropped by 85%. We've supported S3EOZ since December 2024. This latest pricing update means our latency is 3x better at only a 15% higher TCO.

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."

WarpStream Diagnostics continuously analyzes your clusters to identify potential problems, cost inefficiencies, and ways to improve things.

Join Ryan Worl and Caleb Grillo on June 17 at 1 p.m. CDT for a WarpStream webinar. Learn about our architecture, how we reduce costs, zero ops auto-scaling, unique features like Agent Groups, and more. Register at buff.ly/rKteKOu

ShareChat engineers Vivek Chandela and Shubham Dhal cover: 📈 Their high-throughput workloads. 👍 WarpStream's ops simplicity, auto-scaling, and no inter-AZ costs. ✅ Best practices for an optimal WarpStream cluster. 💸 Results of a 60% cost savings.

Shared nothing vs. shared storage: we take a deep dive into these two architectures and discuss why @warpstream.com uses a shared storage architecture ➡️ buff.ly/dxRz3eU

Yesterday, during our Reddit AMA about WarpStream, we answered questions about our control plane, latency tuning, optimizations, our roadmap, and more. If you missed it, you can read all the questions and answers here: buff.ly/MhYuhML

Join WarpStream co-founders Richard Artoul and Ryan Worl for a Reddit AMA at 10:30 a.m. EST today. Ask any questions you have about WarpStream ➡️ buff.ly/MhYuhML

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/94AB9yJ

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).

WarpStream co-founders Richard Artoul and Ryan Worl are doing a Reddit AMA on May 14. Ask them anything about WarpStream. Feel free to submit questions ahead of time and upvote already-submitted questions ➡️ www.reddit.com/r/apachekafk...

WarpStream Schema Linking allows you to continuously migrate any Confluent-compatible schema registry into a WarpStream BYOC Schema Registry.

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 ➡️ buff.ly/GsW71LN

🍱 We managed to cheer Benty the Bento box up with a new website and branding 👉 buff.ly/LDt5CPm

Kafka does not need to be complex to manage or costly to operate. Ryan Worl goes over how WarpStream's architecture makes this possible in this Data Council presentation.