Scylla Blog

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Posts with tag "performance"

Sep26

Performance Improvements in Scylla 2.3

Scylla 2.3 was just recently released, and you can read more about that here. Aside from the many interesting feature developments like improved support for materialized views and hardware enablement like native support for AWS i3.metal baremetal instance, Scylla 2.3 also delivers even more performance improvements on top of our already industry-leading performance. Most of the performance improvements center around three pillars: Improved CPU scheduling, with more work being tagged and isolated The result of a diligent search for latency-inducing events, known as reactor stalls, particularly in the Scylla cache and in the process of writing SSTables A new, redesigned […]

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Sep25

Scylla Summit Preview: Scylla Got Slow! Using Tools, Talent and Tracing to Find Out Why

Scylla Summit 2018: Scylla got slow! Using Tools, Talent, and Tracting to Bring it up to Speed [banner graphic]

In the run-up to Scylla Summit 2018, we’ll be featuring our speakers and providing sneak peeks at their presentations. The second interview in this series is with ScyllaDB’s own Vlad Zolotarov. Vladislav “Vlad” Zolotarov is one of our experts at getting the most out of Scylla, having written articles in the past about CQL tracing, tracing slow queries, securing your cluster, and using Hinted Handoffs. He will speak at the Scylla Summit in a talk entitled Scylla Got Slow! Using Tools, Talent, and Tracing to Find Out Why. He took the time to give a sneak peek into his upcoming […]

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Aug16

Upcoming Enhancements to Scylla’s Filtering Implementation

In this post we discuss the enhanced filtering support coming in Scylla 2.4 and compare it to the recommended alternatives and their performance.

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Aug14

Upcoming Improvements to Scylla Streaming Performance

In this blog post, we will take a closer look at 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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Aug9

The Cost of Containerization for Your Scylla

docker

This article will shed light on the performance penalties of running Scylla on Docker and discuss the tuning steps to solve them.

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Aug2

AdGear and ScyllaDB at the Big Data Montreal Meetup

AdGear joined us at the Big Data Montreal meetup and we discussed Real-time Data at Scale and how we helped them achieve their goal of 1 million queries per second.

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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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Jul19

Measuring Performance Improvements in Scylla 2.2

Scylla Prometheus

Scylla 2.2 is a great release. As promised, we will share the performance results for this release and compare it to the previous version of Scylla.

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Jul6

New Benchmark: Scylla 2.2 (i3.Metal x 4-nodes) vs Cassandra 3.11 (i3.4xlarge x 40-nodes)

  Benchmarking is no easy task, especially when comparing databases with different “engines” under the hood. You want your benchmark to be fair, to run each database on its optimal setup and hardware, and to keep the comparison as apples-to-apples as possible. (For more on this topic, see our webinar on the “Do’s and Don’ts of Benchmarking Databases.”) We kept this in mind when conducting this Scylla versus Cassandra benchmark, which compares Scylla and Cassandra on AWS EC2, using cassandra-stress as the load generator. Most benchmarks compare different software stacks on the same hardware and try to max out the throughput. […]

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Jul3

Case Study: Grab Hails Scylla for Performance and Ease of Use

case study

Scylla came out on top and is now in production at Grab. In this post, you can learn more about Grab’s journey to Scylla and see what they liked about it.

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