Scylla Blog

Stay up to date with recent news and updates on our Users Blog, and get under the hood on our Developers Blog.

Aug14

Upcoming Improvements to Scylla Streaming Performance

In this blog post, we will take a closer look at the details of how Scylla streaming works in detail and how Scylla 2.4’s new streaming improves streaming bandwidth by 240% and reduces the time it takes to perform a “rebuild” operation by 70%.

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Jul26

Exploring How the Scylla Data Cache Works

In this post, we will explore how the Scylla data cache works and will compare the performance results to Cassandra and earlier Scylla releases.

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Jul13

More Efficient Query Paging with Scylla 2.2

In this blog post, we will look into Scylla’s paging, address some of the earlier problems with it, and describe how we solved those issues in our recently released Scylla 2.2.

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Jun12

Taming the Beast: How Scylla Leverages Control Theory to Keep Compactions Under Control

controller

Learn how Scylla leverages control theory to keep compactions under control. We’ll discuss the approach ScyllaDB prescribes for solving this problem.

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Apr19

The Scylla I/O Scheduler – Better Latencies Under Any Circumstance

scylla

One of the cornerstones of Scylla is the I/O Scheduler, described in details at the moment of its inception in a two-part series that can be found here (part 1) and here (part 2). In the two years in which Scylla has been powering mission-critical workloads in production the importance of the I/O Scheduler was solidified and as our users have attested themselves, it plays a key part in isolating workloads and delivering on our Autonomous Operations promise.

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Feb21

The Seastar Framework Was Accepted for Google Summer of Code

Interested in contributing code to a framework that provides Scylla and other programs with high-throughput I/O and networking? The Scylla team is pleased to announce that the Seastar framework has been accepted as a Google Summer of Code organization. Google Summer of Code with the Seastar project provides students with the opportunity to spend their summer break contributing to an awesome open source project, work under the mentorship of dedicated, brilliant engineers, and in addition receiving a stipend when the project milestones are met.

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Feb15

Adventures with Memory Barriers and Seastar on Linux

Unshared data structure

Seastar provides a programming environment that abstracts away most of the problems of multi-threaded programming using a thread-per-core model. Locks, atomic variables, memory barriers, lock-free programming, and all of the scaling and complexity that come from them are gone. In their place, Seastar provides a single facility for inter-core communications. This is, of course, great for the developer, who can easily utilize many-core machines, but there is also another side: because Seastar takes care of all inter-core communications, it can apply advanced optimizations to these communications.

This article examines these optimizations and some of the complexity involved.

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Jan31

Scylla’s Compaction Strategies Series: Write Amplification in Leveled Compaction

This is the second post in a series of four about the different compaction strategies available in Scylla. In the previous post, we introduced the Size-Tiered compaction strategy (STCS) and discussed its most significant drawback – its disk-space waste, a.k.a. space amplification. In this post, we will look at Leveled Compaction Strategy (LCS), the first alternative compaction strategy designed to solve the space amplification problem of STCS, and show that it does solve that problem, but unfortunately introduces a new problem – write amplification. The next post in this series will introduce a new compaction strategy, Hybrid Compaction Strategy, which […]

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Jan17

Scylla’s Compaction Strategies Series: Space Amplification in Size-Tiered Compaction

compaction

This is the first post in a series of four about the different compaction strategies available in Scylla. The series will look at the good and the bad properties of each compaction strategy, and how to choose the best compaction strategy for your workload. This first post will focus on Scylla’s default compaction strategy, size-tiered compaction strategy.

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Jan4

Seastar: The future<> is Here

This is a cross-post from https://www.alexgallego.org/concurrency/smf/2017/12/16/future.html. On June 8, 2016, Avi Kivity came to NYC to present ScyllaDB. During his search for a quick open desk to do some work, I volunteered open spaces we had at Concord1. We talked lock-free algorithms, memory reclamation techniques, threading models, Concord and distributed streaming engines, even C vs C++. Five hours later I was convinced that Seastar was the best systems framework I’d ever come across.

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