A new home for examples, experiments, and projects that showcase the power of Redpanda — Author: James Kinley Redpanda is a simple, reliable, and cost-efficient streaming data platform used to power high-performance, mission-critical applications — whether that’s for an enterprise or a side project on your laptop. …

Get to know our latest champion — and how you can nab the title next time — Authors: Christina Lin, Jenny Medeiros If you’re active in our Redpanda Community on Slack, then you’ve probably seen Erlend around, always ready to lend a hand and give feedback on different projects. His willingness to contribute and knack for being awesome hasn’t gone unnoticed. From helping fellow developers on Slack…

Choosing between data sovereignty and a fully managed experience? Why not have both? — Author: Doug Flora Emerging requirements for data sovereignty are driving an evolution in cloud deployment topologies. A new approach, known as Bring Your Own Cloud (BYOC), melds the control, compliance, and data sovereignty benefits of self-hosting with the operational agility gained through fully managed SaaS offerings.

Fancy saving ~50% on cloud costs? Here’s a deep dive into our latest feature — now available in Redpanda 23.2 — Author: Dunith Dhanushka Redpanda recently announced Redpanda 23.2, which is now generally available for both the self-hosted Redpanda Platform and fully-managed Redpanda Cloud deployments. This release is packed with new features that improve performance, automation, and cost optimization. One of the most important new capabilities of 23.2 is follower fetching.

Help us build a radically simpler architecture for data processing — powered by Wasm — Author: Matt Schumpert Today, we’re thrilled to announce the availability of the Redpanda Data Transforms Sandbox, powered by WebAssembly (Wasm)! The introduction of Data Transforms marks a paradigm shift in how you use Redpanda — from the infrastructure for blazing fast and cost-efficient data streaming, to an integrated platform that…

Learn how to use Redpanda, Flink, and MongoDB to seamlessly handle customer data in real time — Author: Rajkumar Venkatasamy Real-time transaction processing has completely changed the way businesses handle data by enabling immediate analysis and response to incoming information. Unlike traditional batch processing, which involves processing data in large volumes at fixed intervals, real-time processing allows for instantaneous data ingestion, analysis, and action.

Get cozy with the basics and differences of real-time data streaming — When you order an Uber, prompt a large language model, or make any kind of online payment, there they are: streaming data, stream processing, and real-time analytics. Though they’re connected and often play into the same scenarios, they’re not the same. Unless you’re an experienced real-time data professional, these three…

A beginner-friendly introduction to all things real-time streaming data — Authors: Dunith Danushka, Jenny Medeiros Data is today’s most valuable currency. …

Say hello to more power, scale, cost-efficiency, operational simplicity, and Kafka ecosystem support — Authors: Doug Flora, Matt Schumpert In our recent Series C funding announcement, we noted our commitment to evolving Redpanda beyond the scope of legacy streaming data platforms, with a focus on empowering engineers to build the next generation of data applications and pipelines. We’re happy to now release Redpanda 23.2…