In this podcast excerpt, Maor Bril from Character.AI talks about how WarpStream reduced their data streaming costs 85-90%. Check out the full podcast where talks about how WarpStream is boring (in a good way, as it just works) and more 👉 buff.ly/17yHlzT

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/898626E

Need diskless, Apache Kafka®-compatible data streaming with low latency on GCP? WarpStream supports GCP Rapid Buckets. No file closes, no cold starts. Just pre-warmed writers. Learn how we built it 👉 buff.ly/4jBZoV4

Our PM built a feature by himself, and he's very proud of it. Some thoughts on the new product development lifecycle from WarpStream's Head of Product 👉 buff.ly/T7Job6h

Apache Kafka® migrations are painful: stop every producer, drain lag, restart everything, and hope nothing breaks. Orbit Auto Migration simplifies everything: repoint producers at WarpStream whenever you're ready, then cut over with a single click 👉 buff.ly/twq5BAt

How did we go from 4 engineers running deploys off a laptop that could roll back production if it went to sleep, to control planes in 24 regions across 3 cloud providers, with no DevOps team? The full story: buff.ly/o7chHUJ

Never again deal with complex networking issues or Apache Kafka® clusters competing for resources. WarpStream Agent Groups are isolated at the network and service discovery layer while sharing object storage 👉 buff.ly/QmXfYu2

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/HtlOOb8

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/rpLFtL4

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/5mSkB6H

Beyond Tiered Storage: Deep Dive into WarpStream's Storage Engine

In this talk, we'll discuss in detail how to take the concept of tiered storage to its logical extreme by building an Apache Kafka® protocol compatible system that has zero local disks. We'll cover…

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WarpStream Diagnostics continuously analyze your clusters to identify potential problems, cost inefficiencies, and ways to improve things ➡️ buff.ly/q0NBIEA

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/zDVDSuq

Need diskless, Apache Kafka®-compatible data streaming with low latency on GCP? WarpStream now supports GCP Rapid Buckets. No file closes, no cold starts. Just pre-warmed writers. Learn how we built it 👉 www.warpstream.com/blog/one-wei...

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 👉 buff.ly/IFXWfgd

Learn how Goldsky uses WarpStream and Apache Arrow to power massive analytical backfills at scale.

How we made historical blockchain data backfills 12x faster - Goldsky

Improving Turbo pipeline backfills with Apache Arrow

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"Who deleted that?" WarpStream Audit Logs give full visibility into every auth decision, admin action, and cluster operation. Structured, consumable via Kafka, and ready in one click 👉 buff.ly/5XNTZn9

In this podcast excerpt, Maor Bril from Character.AI talks about how WarpStream reduced their costs 85-90%. Check out the full podcast where talks about how WarpStream is boring (in a good way, as it just works) and more 👉 buff.ly/snYJxgQ

Stream processing without a second system to run. WarpStream Managed Data Pipelines run inside your Agents in your cloud account. Raw data never leaves. Transform, enrich, and route with YAML. No extra clusters. buff.ly/TMP2BwZ

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/0rJMdMZ

Running Apache Kafka® in the cloud burns money on inter-AZ fees, over-provisioned disks, and an ops team to babysit it all. WarpStream BYOC is Kafka on easy mode. Diskless, stateless, and 80% cheaper 👉 warpstream.com/bring-your-o...

WarpStream BYOC Overview

YouTube video by WarpStream

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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/0SGuDNl

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/bvEhZ0Z

Getting Rid of Kafka Noisy Neighbors

We look at what noisy neighbors are, the current ways to handle them (cluster quotas and mirroring clusters), and how WarpStream's Agent Groups feature compares in terms of elasticity, operational…

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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/bCcH3s2

@tomwilkie.bsky.social from @grafana.bsky.social talks to Ryan Worl about how @warpstream.com helped when they were developing Adaptive Metrics 👉 buff.ly/gTMahnu. Also, check out the case study about how @warpstream.com powers Mimir: buff.ly/tcy28HW

Apache Kafka® migrations are painful: stop every producer, drain lag, restart everything, and hope nothing breaks. Orbit Auto Migration simplifies everything: repoint producers at WarpStream whenever you're ready, then cut over with a single click 👉 buff.ly/cMq6wuP

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.

Zero Disks is Better (for Kafka) - Diskless Kafka

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.

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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/B5B6TsU

Kafka isn't a database, but we gave it a query engine anyway. With WarpStream Events: 📈 Search and visualize Agent logs, ACL decisions, and pipeline execution logs ⚒️ Ditch multiple tools ☑️ Get built-in observability with zero ops buff.ly/hwomJ54

Superwall moves 100 MiB/s of events from WarpStream into ClickHouse 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% 👉 buff.ly/HlpTdXf

How did we go from 4 engineers running deploys off a laptop that could roll back production if it went to sleep, to control planes in 24 regions across 3 cloud providers, with no DevOps team? The full story: buff.ly/PskaRN3