Scylla Blog

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

Oct7

Compression in Scylla, Part Two

In the first part of this blog we’ve learned a bit about compression theory and how some of the compression algorithms work. In this part we focus on practice, testing how the different algorithms supported in Scylla perform in terms of compression ratios and speeds.

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Oct4

Compression in Scylla, Part One

In this two-part blog we’ll focus on the problem of storing as much information as we can in the least amount of space as possible. This first part will deal with the basics of compression theory and implementations in Scylla.

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Aug20

Best Practices for Data Modeling

In our latest Summer Tech Talks series webinar ScyllaDB Field Engineer Juliana Oliveira guided virtual attendees through a series of best practices on data modeling for Scylla.

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Jun20

Sizing Up Your Scylla Cluster

Sizing Your Scylla Cluster

In practical terms, how do you begin to plan your ultra-efficient Scylla topology? The shift can be intimidating for those coming from a background in Cassandra, or for those coming from a primary-replica architecture, or from a plain old monolithic database implementation. In this post we’ll layout a checklist for designing a Scylla cluster that incorporates both horizontal and vertical scaling.

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Jun6

Scylla University: Data Modeling in Scylla Essentials

Scylla University: Data Modeling in Scylla Essentials

I recently had the pleasure of exchanging a few questions and answers with Guy Shtub, Manager of Scylla University. Guy had some exciting news about a new module available for Scylla University users plus shared his insights into what else is in the works.

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Jun4

Migrating to Scylla Cloud

Migrating to Scylla Cloud

We’ve written a pretty comprehensive blog about migrating to Scylla in general, but not all of those migration strategies apply to a managed cloud solution. So let’s drill down into specifics and step-by-step instructions targeted directly to your Scylla Cloud success.

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Apr11

Scylla Cloud Onboarding

Scylla Cloud Migration

We recently launched Scylla Cloud, allowing you to get the most out of Scylla while not having to burden yourself with cluster management tasks. In this blog post we will cover the initial onboarding process, including creating an account and spinning up a cluster.

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Apr2

Spark, File Transfer, and More: Strategies for Migrating Data to and from a Cassandra or Scylla Cluster

Migration Methods

Scylla’s March 2019 webinar on database migration drew broad interest and will likely remain a popular topic for years to come. So, you’ve decided to adopt Scylla (or Cassandra). What’s the best way to get your Big Data uploaded into your new cluster? What strategies, tools and techniques can you use to get your terabytes or petabytes from point A to point B? Those were the questions of the day for Dan Yasny, Field Engineer of ScyllaDB.

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Mar28

The New CQL Optimization Dashboard in Scylla Monitoring Stack 2.2

New CQL Optimization Dashboard

If you are a Scylla user, you must be familiar by now with Scylla Monitoring Stack (downloadable for free from Github) which is the recommended way to monitor Scylla. We just released Scylla Monitoring Stack version 2.2. There are a few configuration simplifications you should be aware of and there is an exciting new dashboard for CQL optimization we hope you’ll find useful. CQL Optimization Dashboard The new CQL Optimization Dashboard is a tool to help identify potential issues with queries, data model and driver. The concept of the dashboard was introduced in Scylla Summit 2018. If you missed it, […]

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Mar12

Deep Dive into the Scylla Spark Migrator

Scylla and Spark

Another week, another Spark and Scylla post! This time, we’re back again with the Scylla Spark Migrator; we’ll take a short tour through its innards to see how it is implemented. Read why we implemented the Scylla Spark Migrator in this blog. Overview When developing the Migrator, we had several design goals in mind. First, the Migrator should be highly efficient in terms of resource usage. Resource efficiency in the land of Spark applications usually translates to avoiding data shuffles between nodes. Data shuffles are destructive to Spark’s performance, as they incur more I/O costs. Moreover, shuffles usually get slower […]

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