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Marcos Ortiz

AWS Graviton Weekly # 17: Week from December 23rd, 2022 to December 30th, 2022

Published almost 3 years ago • 4 min read

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Issue # 17: December 23rd, 2022 to December 30th, 2022

Hey Reader

Welcome to Issue # 17 of AWS Graviton Weekly, which will be focused on sharing everything that happened in the past week related to AWS Silicon: from December 23rd, 2022, to December 30th, 2022.

This is the last issue of the year 2022. So, I just wanted to say THANK YOU from the bottom of my heart for being there, sharing your feedback, and supporting this newsletter.

Seriously: THANK YOU.

2023 will be a big year not only for AWS Graviton and AWS Silicon in general; it will be a big year for ARM-based chips as well.

The best is yet to come.

Happy New Year, Graviton friends. I hope to count on with your incredible support for 2023 and beyond.

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News

​Ruby 3.2.0 Released: Production-ready YJIT, adding support for arm64/aarch64 CPUs, including AWS Graviton​

YJIT now supports both x86-64 and arm64/aarch64 CPUs on Linux, MacOS, BSD and other UNIX platforms.
This release brings support for Apple M1/M2, AWS Graviton, Raspberry Pi 4 and more.

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Articles and Tutorials

​Second generation EFA: improving HPC and ML application performance in the cloud, by Brian Barret (Principal Engineer at AWS) and Matt Koop (Principal Engineer, High Performance Computing & Batch at AWS)

Performance at scale was a step-function improvement, as you can tell from Figure 1. Today, EFA is available on 33 instance types powered by Intel, AMD, and AWS Graviton processors with multiple memory, disk, and accelerator configurations, and at least one EFA-enabled instance type is available in every AWS Region.

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​Benchmarking Ascon Cipher Suite on CPU, by Anjan Roy (Blockchain Engineer at Polygon)

A Tweet worth more than words:

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Anjan Roy
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@meanjanroy
December 28th 2022
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​The rise of ARM64 and custom silicon, by Abhinav Ittekot (Staff Software Engineer at Twilio)

Almost all major cloud providers now offer some form of ARM64-based compute. However, as usual, AWS is a couple of generations ahead of the competition with its Graviton platform which has grown leaps and bounds since the acquisition of Annapurna labs in 2016.

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Slides, Videos and Audio

​[VIDEO] AWS re:Invent 2022 - What to know before adopting Arm: Lessons learned at Datadog, by Jason Yee (Staff Technical Evangelist at Datadog)

Moving from x86-based Amazon EC2 instances to AWS Graviton Arm-based processors can save you a lot of money—up to 40 percent better price performance.
But can you just update your AWS CloudFormation templates from T2 to T4g and reap the savings? Datadog runs tens of thousands of nodes and has migrated a significant portion of their workloads to AWS Graviton. In this session, hear the top lessons Datadog has learned to help you prepare for a migration. Find out what changes you may need to make to your applications and how to operate and observe your services to get the most performance from the AWS Graviton architecture.

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[VIDEO] Running Kong Mesh and Kuma on AWS Graviton (ARM64), by Viktor Gamov (Principal Developer Advocate at Kong)

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Jobs

If you are actively looking for a new role, you should join our Talent Collective here. It's completely free to the candidates.

And if you are a company looking for new members for your time, you can get access to our Talent Collective here.

There are 18 active candidates ready for interviews:

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Events

No events in the time of the year
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Quote of the week

With Graviton, we saw that the industry is moving in a direction of utilizing ARM chipsets and we understood that for a long-term investment in terms of savings, we need to be able to support that.
We didn't necessarily move our entire platform, in fact we use a mix of both ARM and AMD Spot Instances, we just understood that we didn't we wanted the option to use ARM when available.
We first moved our MySQL databases on RDS to Graviton without any kind of impact that we could perceive and so the next step was to move our applications to Graviton.
There was really no change needed in our application it was just a matter of getting the Docker containers to be able to run on either type of node .
Uh, it's slightly less expensive in the Spot Instances type, of course spot instances price fluctuate so you keep an eye on that but it gave us about a couple of percentage points like 5 to 10 percent of savings on the Spot instances.

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​Noah Zucker, Head of Platform at SEI Novus. Source: Caylent​

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Marcos Ortiz

I'm a Data Engineer by day at Riot Games (via X-Team ) and by night, I curate the last news/product announcements/resources about AWS Silicon (AWS Graviton, Nitro, Inferentia, and Trainium).

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