Differences between Apache Kafka and Redpanda - Avoid garbage collection
Why Redpanda chose C++ and how does JVM impact performance? This video explains the ups and downs of data latency.
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...
Autotune series: Part 1 - storage - Michal MaslankaAlexander Gallego
https://redpanda.com/blog/autotune-se...
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...
Real Time with Redpanda, Episode 5: Internal communication infrastructure of Redpanda - Alexander Gallego
• Real Time with Redpanda, Episode 5: Intern...
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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