Real Time with Redpanda Episode 3: Optimizing read path for tiered storage
Join us for Real Time with Redpanda, Episode 3! In this livestream, we're talking to Redpanda CEO Alex Gallego about read path for tiered storage.
0:00 Intro
1:30 Name change news
4:08 What is tiered storage
6:01 Value of tiered storage for developers
8:45 Live draw - Partition log
16:30 Thread per core architecture
18:25 Cache the data
25:23 Real-time
31:55 Deployment flexibility
34:30 Wrap up
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To learn more about the fast, simple, reliable Redpanda streaming data engine please visit https://redpanda.com:
◦ The Kafka API is great; now let's make it fast! - https://rpnda.co/fast-safe
◦ How we built Redpanda’s tiered storage capabilities - https://rpnda.co/tiered-storage
◦ Kafka-compatible fast distributed transactions - https://rpnda.co/fast-transactions
◦ Building our data transformation engine with Wasm - https://rpnda.co/wasm-transforms
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Contribute to our GitHub repository: https://rpnda.co/github
Redpanda is the modern streaming data platform for developers. API-compatible with Apache Kafka®, Redpanda enables a simple, fast, reliable, and unified engine of record for both real-time and historical enterprise data. 10x faster. Safe by default. No Zookeeper®, no JVM, and no code changes required. Built with C++ and Go, using technologies like Seastar.
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