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Introduction
AWS EC2 provides stability in computing, networking, and handling a request. AWS provides different types of options when choosing any virtual machine that contains different CPU, Memory, and networking capabilities with all that AWS also provides options in processors as well.
While choosing a processor for your VM can improve the performance as well as it will impact the pricing. By selecting a processor aligned with your requirements, you can boost efficiency and potentially realize significant AWS cost savings.
Advanced RISC Machine (ARM)
ARM is an architecture used in chipsets and requires a much smaller instruction set. This type of processor architecture is commonly used in mobile devices and other small devices. ARM processors refer to the CPU architecture designed by AWS that is optimized for cloud workloads.
ARM processors are available for use in Amazon EC2 instances, which offers secure and resizable compute capacity for virtually any workload. It offers up to 32 cores per processor, making them well-suited for workloads. These are more cost-effective than other processors.
Advanced Micro Devices (AMD)
AMD processors are a type of processor architecture commonly used in servers, laptops, and gaming consoles. It is based on the Zen architecture and is designed to offer high performance and scalability for cloud workloads. AMD processors are better suited for workloads that require a high level of parallel processing and scalability. AMD gives you all the tasks at once. It offers up to 64 cores per processor, making them well-suited for workloads.
Cost Impact on Using ARM
ARM processors are more cost-efficient than AMD and will provide scalability and availability according to the requirements.
Migrating running infrastructure from AMD to ARM
To migrate running infrastructure from AMD to ARM contains some steps and prerequisites by which we can do that in a practical way, Below mentioned steps are helpful in that.
Step 1: The beginning of this migration starts with creating a multi-architecture image of your Java application which can run on both AMD and ARM-type processors and promises zero downtime while migrating your services.
Docker Buildx does the same for you and allows you to create a multi-arch image of your services.
Set-up docker buildx
Install Docker on Server
Install Git
Setup Docker Buildx on the server
Vim into the daemon.json file and paste the content.
save exit
Experimental = true indicates the following command works
Check buildx working
Step 2: Build and push all the java services docker files using docker buildx and push to ECR.
Sample docker-file
Command to build and push the image to the ECR.
--push will push the image to the ECR repository
Step 3: Hosting on AWS EKS
Set up node-group on AWS.
Create all docker base images using buildx and push them to ECR.
Create a Docker file that can support buildx creation.
Create a new version of the launch template from the existing node group.
Use arm AMI in the launch template.
Using a new version of the launch template, launch a new node group and provide a graviton-type instance in ASG.
After the successful creation of a new node-group delete the old node-group after that uninstall all services and deploy using the docker buildx command.
Handle docker buildx volume
In the server where the docker buildx is configured check the location cd /var/lib/docker/volumes/ id there is any buildx volume is creed and size get increased after each buildx build you have to create a cron job for
The command has to be run periodically according to the number of deployments.
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