AWS Graviton Weekly # 78


Issue # 78: March 8, 2024 to March 15, 2024

Hey Reader.

Welcome to Issue # 78 of AWS Graviton Weekly, which will be focused on sharing everything that happened in the past week related to AWS Silicon: from March 8, 2024, to March 15, 2024.

In last week's issue, I mentioned that you need to read the 2024 Kubernetes Cost Benchmark report from CAST.AI if you were using Kubernetes in some way.

In the final part of this email, I wanted to answer some of your questions about it.

Now, let's focus on AWS Silicon.


Recommendation of the week: 2024 Kubernetes Cost Benchmark Report


NEWS


ARTICLES AND TUTORIALS


SLIDES, AUDIO AND VIDEO


From the ARM Ecosystem

A note about CAST.AI

Some of you reached out to me and wanted to know more about the services the company provides: and the best way I've found to do this is by inviting you to watch this short video that explains perfectly in just 5 minutes.

But if you don't have 5 minutes, I will share with you here the 3 core pillars of CAST.AI.

CAST.AI is a multi-cloud platform that helps companies accomplish 3 major things:

  • It helps you to monitor your costs in the cloud related to Kubernetes. This feature is very helpful, especially if you use two or more different cloud providers because it allows you to see the full picture in a single place
  • Another major feature of the platform is that it constantly monitors the security of your pods and Kubernetes infrastructure in general
  • and my favorite feature is the automatic cost optimization, where on average, clients save over 60% without dedicating more engineering labor.

I'm always looking for new ways to help you to save more money and to be more efficient with our cloud operations, especially in AWS.

CAST.AI is one of those tools that is perfectly positioned to assist you with this task.

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 (Graviton, AWS Nitro, Inferentia, and Trainium).

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