building mental models for tradeoffs in performance, availability and durability in data systems

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What's Changed Refactor Block Tests to Use Table-Driven Test Cases by @samsond in #410 Update await calls in README.md by @criccomini in #425 chore: Apply table driven test for sst.rs by @jeffreyl...

Tech on the Rocks · Episode

SummaryIn this episode, Apurva Mehta, co-founder and CEO of Responsive, recounts his extensive journey in stream processing—from his early work at LinkedIn and Confluent to his current venture at R...

Learn the concepts, configs, and application design strategies to get your Kafka Streams apps running as optimally as possible.

Join Kostas and Nitay as they speak with amazingly smart people who are building the next generation of technology, from hardware to cloud compute. Tech on the Rocks is for people who are curious…

Learn how to properly start, stop, and manage the lifecycle of Kafka Streams

Learn which configurations are most critical for a reliable and efficient deployment

Responsive is a stream processing solution that brings disaggregated state, autoscaling, observability and enterprise-grade support to Kafka Streams. Eliminate unpredictable lag and rebalance instabil...

I've used open source projects for over 30 years and contributed for about 20 of those. My first interaction with an open source foundation was with Apache when I began working with Apache Hadoop ...

Learn to build bulletproof Kafka Streams applications

Dumping a few thoughts on API errors. At the moment, we have a single flat error SlateDBError which is exposed through the public API. This is the same pattern used in Kafka and there are some less...

Kafka Streams had some tremendous additions and improvements in 2024. Here are the highlights.

fixes #248 this doc is still in WIP, but the discussion is open here. TLDR of this doc: Snapshot (with sequence number in keys) and WriteBatch are MUST before working on the Transaction feature SS...

We're hosting a live Q&A session with two engineers who have seen it all: - Casey Crites, a founding engineer at Metronome, implemented and scaled the Kafka pipeline at Metronome from zero to where i...

Distributed POSIX filesystems have proven elusive, but we're getting closer. Perhaps that's all we need.

A recap of all that we've built in our first 18 months as a company, and what that means for the future of stream processing.

A recap of all that we've built in our first 18 months as a company, and what that means for the future of stream processing.

Why we think SlateDB is the right foundation for a state storage service for Kafka Streams.

The recent (few years) rediscovery of control plane architecture, largely due to the success of Kubernetes, is changing the way people think about distributed systems. Not many years ago, everything "...

Project information Project name: SlateDB Project website: https://slatedb.io Code repository: https://github.com/slatedb/slatedb License: Apache 2.0 Do you have authority to represent this project...