AWS Graviton Weekly # 20: Week from January 13th, 2023 to January 20th, 2023


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Issue # 20: January 13th, 2023 to January, 20th, 2023

Hey Reader

Welcome to Issue # 20 of AWS Graviton Weekly, which will be focused on sharing everything that happened in the past week related to AWS Silicon: from January 13th, 2023 to January 20th, 2023.

It's simply incredible to think that this is the issue # 20 of AWS Graviton Weekly.

So, today it's the perfect time to request for feedback.

Love to hear what do you think about this newsletter, and if you have any comment/idea/suggestion, it's more than welcome.

Just reply to this email with your ideas. I will be adding them to a doc for later read them all and implemente them.

Enjoy the content of this week and if you prefer Twitter, you can read the 🧵 here:

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Marcos Ortiz
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@marcosluis2186
January 20th 2023
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News

AWS Nitro Enclaves announces support for multiple enclaves

AWS Nitro Enclaves now supports the ability to create more than one enclave per EC2 instance.
AWS Nitro Enclaves is an Amazon EC2 capability that enables customers to create isolated compute environments to further protect and securely process highly sensitive data such as personally identifiable information (PII), healthcare, financial, and intellectual property data within their EC2 instances

Amazon ECS announces the new default console experience

With the new Amazon ECS console, users can now use multi-step wizards and guided experiences to deploy and operate their applications and services without context switching to other tools. For example, users can now create a new load balancer or select an existing load balancer, when they create a new service. The new console introduces new Amazon ECS features, like Amazon ECS Service Connect for simplified networking, and more. Users can leverage intuitive defaults or configure advanced capabilities with a built-in JSON editor.

Amazon EC2 Auto Scaling now gives recommendations about activating predictive scaling policy

Amazon EC2 Auto Scaling now helps you easily determine whether adding a predictive scaling policy can further optimize the capacity of your Auto Scaling groups. Predictive scaling policies proactively add EC2 instances to your Auto Scaling group in anticipation of demand spikes. This results in better availability and performance for your applications that have predictable demand patterns and long initialization times. It may also help alleviate the need for costly capacity buffers that you otherwise maintain to account for demand spikes. This new recommendation feature provides prescriptive indications about the potential impact of predictive scaling on your application availability and EC2 costs, making it simpler for you to get started with predictive scaling.

Amazon Corretto January, 2023 Quarterly Updates

On January 17, 2023 Amazon announced quarterly security and critical updates for Amazon Corretto Long-Term Supported (LTS) versions of OpenJDK. Corretto 19.0.2, 17.0.6, 11.0.18, 8u362 are now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK.

EC2 Image Builder adds Center for Internet Security (CIS) Benchmarks for security hardening of Amazon Machine Images

Now customers can use EC2 Image Builder to create custom Amazon Machine Images (AMIs) that are hardened using Center for Internet Security (CIS) Benchmarks. EC2 Image Builder hosts CIS Benchmarks Level 1 for Amazon Linux 2, Red Hat Enterprise Linux (RHEL) 7, Microsoft Windows Server 2019, and Microsoft Windows Server 2022. You no longer have to manage your own custom scripts for CIS Level 1 hardening of images with these operating systems. With this feature, you can also choose to automatically update AMIs to the latest version of the CIS standards as they become available.


Articles and Tutorials

Starting your Cloud Financial Management journey: Cost savings, by Stephanie Gooch (Commercial Architect at AWS)

AWS Graviton – These processors are designed by AWS to deliver the best price performance for your cloud workload.
You can get some amazing price/performance savings with services such as 52% on Amazon RDS with Graviton2. Since these instances are based on ARM processors rather than the traditional Intel ones, this can be a big infrastructure change for standard EC2 workloads. But do not fear, there are so many more services you can use with Graviton, such as AWS Lambda, Amazon Aurora, AWS Fargate, and much more.

I scanned every package on PyPi and found 57 live AWS keys, by Tom Forbes (Staff Software Engineer at OnFido)

An interesting and scary analysis of AWS keys on the wild

BTW: don't forget to check the tool he made in Rust called https://github.com/orf/aws-creds-scanner which detects any AWS access keys that are accidentally uploaded to the Python Package Index (PyPi).


Maximize the Potential of AWS Graviton Processors with ZimbleOne

Are you looking to capitalize on the new capabilities of AWS Graviton processors? Look no further than ZimbleOne!
AWS Graviton processors are based on ARM architecture and are specifically designed to power Amazon EC2 instances. They offer a cost-effective option for running workloads such as web servers, development environments, and big data processing.

Slides, Videos and Audio

No video this week.


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:


Events

No events this week


Quote of the week

The new year is always a good time to reflect back and to think about the future…
Scaling chip design is a constant challenge for the semiconductor industry, and a common customer question we get at Annapurna Labs.

Adi Habusha, Senior Principal Engineer, AWS Graviton Processors Chief Architect at AWS

Source: LinkedIn

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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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