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Discover new ways to optimize database performance and avoid common mistakes that impact latency and throughput So many things have to align perfectly for impressive database performance. You need to think hard about factors like: The infrastructure your database sits on How it’s set up How you’re managing it How your application interacts with the driver How the driver interacts with your databas

There are many reasons to be excited about generics in Go. In this blog post I’m going to show how, using the generics, we got a 40% performance gain in an already well optimized package, the Google B-Tree implementation. A B-Tree is a kind of self-balancing tree. For the purpose of this blog post it’s sufficient to say that it is a collection. You can add, remove, get or iterate over its elements

It’s been a while since ScyllaDB Rust Driver was born during ScyllaDB’s internal developer hackathon. Since then, its development and adoption accelerated a lot. We’ve added many new features and published a couple of releases on crates.io. Along the way, we also stumbled upon a few interesting performance bottlenecks to investigate and overcome — read on for more details. First Issue Arises A few

Things will never be the same again after the dust settles. And yes, I’m talking about Linux. As I write this, most of the world is in lockdown due to COVID-19. It’s hard to say how things will look when this is over (it will be over, right?), but one thing is for sure: the world is no longer the same. It’s a weird feeling: it’s as if we ended 2019 in one planet and started 2020 in another. While

“And now for our main event! Ladies and gentlemen, in this corner, weighing in at 34% of the cloud infrastructure market, the reigning champion and leader of the public cloud…. Amazon!” Amazon has unparalleled expertise at maximizing scalability and availability for a vast array of customers using a plethora of software products. While Amazon offers software products like DynamoDB, it’s database-a

As most earthlings are aware by now, two severe attacks under the names of Meltdown and Spectre were currently disclosed and it affects pretty much everybody living in modern society. Although there is no defense against the more elaborate Spectre, there is a software defense against the more widespread Meltdown. However, there is a catch that set the Internet on fire over the past few days. To pr

Cache control For both read/write and mmap, caching is the responsibility of the kernel. The majority of the system’s memory is given over to the page cache. The kernel decides which pages should be evicted when memory runs low; when pages need to be written back to disk; and controls read-ahead. The application can provide some guidance to the kernel using the madvise(2) and fadvise(2) system cal

In this post we will walk through an investigation of latency spikes observed in the ScyllaDB 1.0.x version family, which are linked to the scylla-jmx service running alongside the ScyllaDB server on the same system. We will show how the scheduler can be tuned to reduce latency spikes. ScyllaDB 1.2, which is at the release candidate stage this week, will have all relevant fixes. Users of that vers