ScyllaDB on the New AWS EC2 I4i Situations: Twice the Throughput & Decrease Latency

Deal Score0
Deal Score0

As you may need heard, AWS not too long ago launched a brand new AWS EC2 occasion sort good for data-intensive storage and IO-heavy workloads like ScyllaDB: the Intel-based I4i. In response to the AWS I4i description, “Amazon EC2 I4i situations are powered by third era Intel Xeon Scalable processors and have as much as 30 TB of native AWS Nitro SSD storage. Nitro SSDs are NVMe-based and custom-designed by AWS to supply excessive I/O efficiency, low latency, minimal latency variability, and safety with always-on encryption.”

Now that the I4i sequence is officially available, we are able to share benchmark outcomes that show the spectacular efficiency we achieved on them with ScyllaDB (a high-performance NoSQL database that may faucet the total energy of high-performance cloud computing situations).

We noticed as much as 2.7x larger throughput per vCPU on the brand new I4i sequence in comparison with I3 situations for reads. With an excellent mixture of reads and writes, we noticed 2.2x larger throughput per vCPU on the brand new I4i sequence, with a 40% discount in common latency than I3 situations.

We’re fairly excited in regards to the unimaginable efficiency and worth that these new situations will allow for our prospects going ahead.

How the I4i Compares: CPU and Reminiscence

For some background, the brand new I4i situations, powered by “Ice Lake” processors, have a better CPU frequency (3.5 GHz) vs. the I3 (3.0 GHz) and I3en (3.1 GHz) sequence.

data chart Intel

Furthermore, the i4i.32xlarge is a monster when it comes to processing energy, able to packing in as much as 128 vCPUs. That’s 33% greater than the i3en.metallic, and 77% larger than the i3.metallic.

data chart Intel

We appropriately predicted ScyllaDB ought to be capable to assist a excessive variety of transactions on these large machines and got down to take a look at simply how briskly the brand new I4i was in follow. ScyllaDB actually shines on machines with many CPUs as a result of it scales linearly with the variety of cores because of our unique shard-per-core architecture. Most different functions can not take full benefit of this huge variety of cores. In consequence, the efficiency of different databases would possibly stay the identical, and even drop, because the variety of cores will increase.

Along with extra CPUs, these new situations are additionally geared up with extra RAM. A 3rd greater than the i3en.metallic, and twice that of the i3.metallic.

data chart Intel


The storage density on the i4i.32xlarge (TB storage / GB RAM) is comparable in proportion to the i3.metallic, whereas the i3en.metallic has extra. That is as anticipated. In complete storage, the i3.metallic maxes out at 15.2 TB, the i3en.metallic can retailer a whopping 60 TB, whereas the i4i.32xlarge is completely nestled about midway between each, at 30 TB storage — twice the i3.metallic, and half the i3en.metallic. So if storage density per server is paramount to you, the I3en sequence nonetheless has a job to play. In any other case, when it comes to CPU depend and clock velocity, reminiscence and general uncooked efficiency, the I4i excels. Now let’s get into the small print.

data chart Intel

EC2 I4i Benchmark Outcomes

The efficiency of the brand new I4i situations is actually spectacular. AWS labored laborious to enhance storage efficiency utilizing the brand new Nitro SSDs, and that work clearly paid off. Right here’s how the I4i’s efficiency stacked up in opposition to the I3’s.

data chart Intel

Operations per Second (OPS) throughput outcomes on i4i.16xlarge (64 vCPU servers) vs i3.16xlarge with 50% Reads / 50% Writes (larger is healthier)

data chart Intel

P99 latency outcomes on i4i.16xlarge (64 vCPU servers) vs i3.16xlarge with 50% Reads / 50% Writes – latency with 50% of the max throughput (decrease is healthier)

On an identical form of server with the identical variety of cores, we achieved greater than twice the throughput on the I4i – with higher P99 latency.

Sure. Learn that once more. The long-tail latency is decrease regardless that the throughput has greater than doubled. This doubling applies to each the workloads we examined. We’re actually excited to see this, and stay up for seeing what an impression this makes for our prospects.

Word the above outcomes are introduced per server, assuming an information replication issue of three (RF=3).

data chart Intel

Excessive cache hit price efficiency outcomes on i4i.16xlarge (64 vCPU servers) vs i3.16xlarge with 50% Reads / 50% Writes (3 node cluster) – latency with 50% of the max throughput

Simply three I4i.16xlarge nodes assist nicely over one million requests per second –  with a practical workload. With the higher-end i4i.32xlarge, we’re anticipating at least twice that variety of requests per second.

“Primarily, when you’ve got the I4i out there in your area, use it for ScyllaDB”

It gives superior efficiency – when it comes to each throughput and latency – over the earlier era of EC2 situations.

To get began with Scylladb Cloud, click here.

Copyright © 2022 IDG Communications, Inc.

We will be happy to hear your thoughts

Leave a reply
Enable registration in settings - general