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Differences between Apache Kafka and Redpanda: Bypass page cache & optimize for direct memory access
Learn about Redpanda's optimized caching, intelligent data reading, and reliable data storage. With Redpanda, experience lightning-fast data retrieval and unleash the full potential of high-performance data streaming.
Blog
----------------------
◦ Why `fsync()`: Losing unsynced data on a single node leads to global data loss - https://redpanda.com/blog/why-fsync-is-needed-for-data-safety-in-kafka-or-non-byzantine-protocols
◦ Thread-per-core buffer management for a modern Kafka-API storage system - https://redpanda.com/blog/tpc-buffers
◦ Autotune series: Part 1 - storage
- https://redpanda.com/blog/autotune-series-part-1-storage
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-native-streaming-data-lower-cost
◦ Validating consistency and the absence of data loss in Redpanda - https://redpanda.com/blog/validating-consistency
◦ Exploring the benefits of single-binary architecture - https://redpanda.com/blog/single-binary-architecture
Join our Slack community! https://rpnda.co/slack
Contribute to our GitHub repository: https://rpnda.co/github
___
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.
Follow us on social media:
Twitter - https://rpnda.co/twitter
LinkedIn - https://rpnda.co/linkedin
Видео Differences between Apache Kafka and Redpanda: Bypass page cache & optimize for direct memory access канала Redpanda Data
Blog
----------------------
◦ Why `fsync()`: Losing unsynced data on a single node leads to global data loss - https://redpanda.com/blog/why-fsync-is-needed-for-data-safety-in-kafka-or-non-byzantine-protocols
◦ Thread-per-core buffer management for a modern Kafka-API storage system - https://redpanda.com/blog/tpc-buffers
◦ Autotune series: Part 1 - storage
- https://redpanda.com/blog/autotune-series-part-1-storage
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-native-streaming-data-lower-cost
◦ Validating consistency and the absence of data loss in Redpanda - https://redpanda.com/blog/validating-consistency
◦ Exploring the benefits of single-binary architecture - https://redpanda.com/blog/single-binary-architecture
Join our Slack community! https://rpnda.co/slack
Contribute to our GitHub repository: https://rpnda.co/github
___
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.
Follow us on social media:
Twitter - https://rpnda.co/twitter
LinkedIn - https://rpnda.co/linkedin
Видео Differences between Apache Kafka and Redpanda: Bypass page cache & optimize for direct memory access канала Redpanda Data
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23 мая 2023 г. 17:01:20
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