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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
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.
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.
Benchmarking Ascon Cipher Suite on CPU, by Anjan Roy (Blockchain Engineer at Polygon)
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.
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.
[VIDEO] Running Kong Mesh and Kuma on AWS Graviton (ARM64), by Viktor Gamov (Principal Developer Advocate at Kong)