A web-based photo-sharing and printing service, Snapfish is dedicated to helping people transform their photos into beautiful personalized objects, such as photo books, mugs, prints and gifts that can be shared and treasured. On a typical day, Snapfish handles more than 1 million uploads. During the holiday season, that number can easily quadruple. These real-time numbers are compounded by backups, which have to move 40 billion files a year via 80,000 simultaneous reads and writes per minute, without impacting production workloads.
Ola Cabs shares their two-year journey with Scylla and how it lived up to their expectations. Learn how they graduated from using Scylla for very simple and non-critical use cases to running it for their mission-critical flows.
The Intel Memory Group is behind the revolutionary Optane SSD drive that provides breakthrough performance and is 5-8x faster at Low Queue Depths than traditional SSD’s. Intel began working with ScyllaDB staff last year to build a big memory system at high-volume scale. They chose Scylla because they needed a solution that can fully leverage the hardware to derive the best possible performance.
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.
Samsung SDS is a global IT services and solutions company with 57 offices spread across 31 countries. They are tasked with implementing highly performant and scalable systems for a number of Samsung businesses. However, they were experiencing a number of issues at the database layer. For example, their relational database couldn’t meet the performance requirements of several business use cases. As a result, they decided to conduct an in-depth technical evaluation of NoSQL databases.
IBM had previously used only Apache Cassandra and HBase as storage back-ends for the graph databases it makes available on IBM Cloud. Having heard about the advantages of Scylla, IBM’s Open Tech and Performance teams conducted a series of tests to compare Scylla with HBase and Apache Cassandra.
A popular social community with more than 100,000 concurrent active users, IMVU enables people all over the world to interact with each other using 3D avatars on their desktops, tablets, and mobile devices. In order to meet growing requirements for scale, IMVU decided it needed a more performant solution than their previous database architecture of Memcached in front of MySQL and Redis.
KaironDB, a time-series database, provides a simple and reliable tooling to ingest and retrieve chronologically created data, such as sensors’ information or metrics. Scylla provides a large-scale, highly reliable and available backend to store large quantities of time-series data. Together, KairosDB and Scylla provide a highly available time-series solution with an efficiently tailored front-end framework and a backend database with a fast ingestion rate.
Organizations are continuing to adopt Solid State Drives (SSD) in their data centers for optimal performance and lower latencies. With that in mind, it only makes sense to use them with a database solution like Scylla to get the most bang for your buck. One of the popular SSD’s that organizations are adopting now in their data centers is the Samsung Z-SSD drive. In this post, we will go over the Z-SSD and see how Scylla users can benefit from the drives.
What fascinates me most about databases is how they can be used for storing time series data. This use case is important for Internet of Things (IoT) devices and data analytics. Everyone should at least be able to relate to a time series database use case as many are likely to have devices in their home collecting and sending data such as a smart thermostat or phone or wrist device gathering your fitness activity. Wouldn’t it be nice to know how the infrastructure works behind the scenes and how to create a time series database? In this post, I will […]