We Compared ScyllaDB and Memcached and… We Lost?
Engineers behind ScyllaDB joined forces with Memcached maintainer dormando for an in-depth look at database and cache internals, and the tradeoffs in each.
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NoSQL Database Trends + Analysis Resources
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Inside ScyllaDB’s Internal Cache
Why ScyllaDB completely bypasses the Linux cache during reads, using its own highly efficient row-based cache instead.
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Different I/O Access Methods for Linux, What We Chose for ScyllaDB, and Why
Explore the available choices for I/O access and their various tradeoffs, then learn why ScyllaDB chose asynchronous direct I/O (AIO/DIO) and how it's working out 7 years later.
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How io_uring and eBPF Will Revolutionize Programming in Linux
It’s a sure revolution, one that most people haven’t noticed yet. That’s because of two new, exciting interfaces: eBPF (or BPF for short) and io_uring, the latter added to Linux in 2019 and still...
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Tech talks: what's next for NoSQL and event streaming
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How We Implemented ScyllaDB’s “Tablets” Data Distribution
How ScyllaDB implemented its new Raft-based tablets architecture, which enables teams to quickly scale out in response to traffic spikes
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Distributed Database Consistency: Dr. Daniel Abadi & Kostja Osipov Chat
Dr. Daniel Abadi (University of Maryland) and Kostja Osipov (ScyllaDB) discuss PACELC, CAP theorem, Raft, and Paxos
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WebAssembly: Putting Code and Data Where They Belong
Brian Sletten and Piotr Sarna chat about Wasm + data trends at ScyllaDB Summit 23.
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Bryan Cantrill on What’s Next for Infrastructure, Open Source & Rust
A look at a decade's worth of past predictions from Cantrill and fellow infrastructure technologist from Sun Microsystems, and Cantrill’s expectations for the future -- including predictions for...
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Learning Rust the Hard Way for a Production Kafka + ScyllaDB Pipeline
Numberly recently transitioned a ScyllaDB+ Kafka data pipeline to Rust. Hear about their risks, rewards & lessons learned.
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Exploring Phantom Jams in your Data Flow
Exploring phantom jams in computer networking or storage I/O, where your data can slow down for no apparent reason.
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Building a 100% ScyllaDB Shard-Aware Application Using Rust
Numberly's experience designing and operating a distributed, idempotent, and predictable application 100% based on ScyllaDB's low-level shard-aware topology using Rust.
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Async Rust in Practice: Performance, Pitfalls, Profiling
Learn how our engineers used flamegraphs to diagnose and resolve performance issues in our Tokio framework based Rust driver.
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Rust, Wright's Law, and the Future of Low-Latency Systems
Get Bryan Cantrill's passionate perspective on why the future of low-latency systems will include Rust programs in some very surprising places.
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How Palo Alto Networks Replaced Kafka with ScyllaDB for Stream Processing
Global cybersecurity leader Palo Alto Networks processes terabytes of network security events each day. They analyze, correlate, and respond to millions of events per second– many different types...
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Workshop: Build Low-Latency Applications in Rust
Go hands-on to explore the affinities between Rust, the Tokio framework, and ScyllaDB. You’ll go live with our sample Rust application, built on our new, high performance native Rust client driver.
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Shaving 40% Off Google’s B-Tree Implementation with Go Generics
Learn how we got a 40% performance gain in an already well optimized package, the Google B-Tree implementation, using Go generics
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A New ScyllaDB Go Driver: Faster Than GoCQL and Its Rust Counterpart
How we built a new Go ScyllaDB driver that's almost 4x faster than its GoCQL predecessor and 2X faster than its Rust counterpart.
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Beyond Jurassic NoSQL: New Designs for a New World
Learn about the massive disconnect between the potential of a brave new distributed world and the reality of “modern” applications relying on fundamentally aged databases.
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7 Reasons Not to Put an External Cache in Front of Your Database
Discover the common pitfalls of using external caching and get real-world examples of companies that successfully eliminated their external cache.
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The Consistency vs Throughput Tradeoff in Distributed Databases
This talk discusses whether or not there is a consistency vs throughput tradeoff in distributed database systems that guarantee ACID transactions.
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