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Decoding the AWS Graviton Migration Puzzle: Your Workload Guide

Discover how AWS Graviton, a revolutionary processor architecture, is transforming cloud computing with improved performance and cost efficiencies. Learn how 1CloudHub, an AWS Advanced Consulting Partner, leverages Graviton to unlock unparalleled value for businesses.


Transitioning to a new technological infrastructure often presents unique challenges, and AWS Graviton is no exception. As businesses consider migrating to Graviton's advanced processor architecture, understanding the effort involved in terms of different workloads is critical. This blog post will guide you through the distinct difficulty levels of implementing AWS Graviton based on various workloads and provide insights into the workloads best suited for this transformation.

Assessing the Implementation Effort

The difficulty of transitioning to AWS Graviton primarily depends on the nature of the workload and the current state of your software stack. In general, newer versions of software facilitate smoother transitions. Here's a breakdown of implementation efforts by workload: No Sweat: Implementing AWS Graviton for AWS Managed services such as RDS, Aurora, ElastiCache, OpenSearch, MemoryDB, and Neptune is straightforward. Simply upgrade to the latest version, and you're all set.

Easy-Peasy: Workloads such as EMR generally adapt to AWS Graviton seamlessly, requiring no major modifications.

Just a Bit of Effort: For AWS Lambda, the transition is smooth with a slight catch. It's crucial to examine Java Native Interface (JNI), Shared Objects, or Native modules as they might need tweaks for the new architecture.

A Touch More Work: Linux – Interpreted and JIT'd languages (e.g., Java, PHP, Node.js) require a bit more effort. The primary step is to select an Arm64 AMI and install it. Be sure to check for JNI, Shared Objects, or Native modules.

Requires Some Attention: Linux – Compiled languages (e.g., C/C++, Python, Go) require more attention. Select an Arm64 AMI, compile it, and then port any intrinsics, assembly, or native modules.

A Bit of a Project, but Worth it: For Microsoft Windows – .NET, the journey involves migrating to Linux + .NET core on Arm64. Though it demands more effort, the rewarding performance gains and cost savings make it worth the endeavor.

Identifying the Right Workloads: AWS Graviton can deliver considerable benefits to various workloads. However, certain types are particularly adept for this processor architecture: AWS Managed Services: Amazon Aurora, RDS, Elasticache, EKS, EMR, ECS, and OpenSearch can witness substantial performance enhancements with AWS Graviton.

Self-managed Workloads on EC2: Web and gaming servers, analytics, open-source databases, microservices/containers, and high-performance services (HPS) can all reap significant benefits from AWS Graviton.

Characteristics of Suitable Workloads: Workloads that are open-source, Linux-based, running newer versions of software, written in higher-level programming languages, or in compiled languages can extract maximum value from AWS Graviton.


Comprehending the level of effort involved in implementing AWS Graviton based on different workloads is essential for a smooth transition. While each journey presents unique challenges, the impressive performance improvements and cost savings that AWS Graviton offers make it a worthwhile endeavor. By accurately evaluating your workloads, you can make an informed decision and unlock the full potential of AWS Graviton for your cloud infrastructure. If you need assistance in this transformative journey, consider partnering with a skilled AWS consulting partner like 1CloudHub, which can guide you through the process seamlessly.

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