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/4wy5WPV
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/4wy5WPV
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.
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.
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 👉 buff.ly/Xhl5atr
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/mIyzF3a
Product page: buff.ly/zKId6zg
Docs: buff.ly/JmJfL89
"Who deleted that?" WarpStream Audit Logs give full visibility into every auth decision, every admin action, and every cluster operation. Structured, consumable via Kafka, and ready in one click.
🗑️ 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. 🪣
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 👉 buff.ly/6rCKhLi
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/tKYhA9J
Two features make WarpStream the fastest, most reliable diskless Kafka product ⤵️
⚡️ Lightning Topics: Ultra-low produce latency with a p50 of 33ms and p99 of 50ms.
🪂 Ripcord: Continue processing produce requests even when the Control Plane is down.
buff.ly/wpd1TIC
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.
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 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 ➡️ buff.ly/XImUEa5
Cloud disks are really expensive. They're often 3-5x more than teams realize once you factor in IOPS, throughput provisioning, and replication. Object storage changes the equation entirely 👉 buff.ly/khYRwAB
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/6hHVe5B
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/TqPvWNA
"Who deleted that?" WarpStream Audit Logs are here. Get full visibility into every auth decision, every admin action, and every cluster operation. Structured, consumable via Kafka, and ready in one click.
@superwall.bsky.social moves 100 MiB/s of events from @warpstream.com into @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%.
🍱 Bento is the free, open-source stream processing framework maintained by WarpStream 🍱
1️⃣ Blog about its origins: buff.ly/0X18NQS
2️⃣ Bento website: buff.ly/h9AScmU
3️⃣ How it powers Managed Data Pipelines: buff.ly/wmcwRRy
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/f0mvMFR
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/e9Sh8cj
Orbit creates identical, inexpensive, scalable, and secure continuous replicas of Kafka clusters. Learn more ⤵️
🛰️ Blog: buff.ly/EjIaDfJ
✅ Docs: buff.ly/WsXxu7h
📡 More info: buff.ly/qaLlDj3
👨🏫 Overview video: buff.ly/gh0ZsIB
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
Two new features make WarpStream the fastest, most reliable diskless Kafka product available ⤵️
⚡️ ️Lightning Topics: Ultra-low Produce latency with a p50 of 33ms and p99 of 50ms.
🪂 Ripcord Mode: Continue processing Produce requests even when the Control Plane is unavailable.
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 Tableflow is now GA. Tableflow is the easiest, cheapest, and most flexible way to convert Kafka topic data into Iceberg tables with low latency, and keep them compacted 👉 buff.ly/PvaCika
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 ➡️ buff.ly/GdZU7h2
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.
buff.ly/tCrRUXI
Pixel Federation was using Amazon MSK, and their Kafka bill was growing faster than their data volumes and they had to use complex networking like VPC peering. Learn how switching to WarpStream cut their bill and simplified operations ➡️ buff.ly/tvk4AJM
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