Differences between Apache Kafka and Redpanda - Thread per Core Architecture
An explainer video. Why Redpanda choose to C++ and how thread per core architecture improves performance for IO intensive workloads.
Blog
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Thread-per-core buffer management for a modern Kafka-API storage system - Alexander Gallego
https://redpanda.com/blog/tpc-buffers
Evaluating Graviton 2 for data-intensive applications: An Arm vs Intel comparison - Travis Downs
https://redpanda.com/blog/aws-gravito...
Engineering Redpanda for multi-core hardware - Noah Watkins
https://redpanda.com/blog/engineering...
Video
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Redpanda: A new storage engine with Kernel bypass technologies for 10x lower tail latencies - Alexander Gallego
• Redpanda: A new storage engine with Kernel...
Adventures in Thread-per-Core Async with Redpanda and Seastar - John Spray
• Adventures in Thread-per-Core Async with R...
LinkedIn + Redpanda Fireside Chat - Alexander Gallego
• LinkedIn + Redpanda Fireside Chat
To learn more about Redpanda, the Kafka® API-compatible streaming data platform for developers, visit https://redpanda.com:
◦ The Kafka API is great; now let's make it fast! - https://rpnda.co/fast-safe
◦ How Redpanda’s cloud-first storage model reduces TCO - https://redpanda.com/blog/cloud-nativ...
◦ Validating consistency and the absence of data loss in Redpanda - https://redpanda.com/blog/validating-...
◦ Exploring the benefits of single-binary architecture - https://redpanda.com/blog/single-bina...
Join our Slack community! https://rpnda.co/slack
Contribute to our GitHub repository: https://rpnda.co/github
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Redpanda is a Kafka® API-compatible streaming data platform for developers, built from the ground up to eliminate complexity, maximize performance, and reduce total costs. Its lean and efficient architecture eliminates categorical dependencies while squeezing the most out of your resources to give you 10x lower latencies and up to 6x lower cloud spend— without sacrificing your data’s reliability or durability.
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