In the run-up to Scylla Summit 2018, we’ll be featuring our speakers and providing sneak peaks at their presentations. The first interview in this series is with ScyllaDB’s own Glauber Costa. Glauber, your talk is entitled “Keeping Your Latency SLAs No Matter What!” How did you come up with this topic? Last year I gave a talk at Scylla Summit where I unequivocally stated that we view latency spikes as a bug. If they are a bug, that means we should fix them so I also talked about some of the techniques that we used to do that. But you […]
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.
In this post, we will explore how the Scylla data cache works and will compare the performance results to Cassandra and earlier Scylla releases.
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.
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. […]
Explore the main differences between i3.16xlarge in the i3 family and i3.metal on AWS. Will removing the virtualization layer bring better performance?
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.
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.
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.