AWS Graviton Migration: Price-Performance Guide

By Illusio Platform Engineering Team · Last reviewed: 2026 · 8 min read

AWS Graviton processors (Graviton3 and Graviton4) provide up to 20% lower hourly instance cost and up to 19% superior compute throughput compared to fifth- and sixth-generation x86 (Intel Xeon and AMD EPYC) instances. For cloud-native SaaS architectures, Graviton is one of the highest-leverage architectural optimizations available.

The Economic Advantage: Price vs. Performance

Graviton’s financial return operates on two fronts:

• Direct Hourly Savings: An m7g.xlarge (Graviton3) instance costs ~20% less per hour than an m6i.xlarge (Intel) in the same AWS region.
• Throughput Multiplier: Because Graviton cores feature dedicated cache per vCPU and lack hyperthreading contention, database and web tier workloads routinely complete 15%–25% more requests per second, allowing instances to be rightsized into smaller sizes.

Phase 1: Zero-Code Migrations (Managed Services)

The fastest path to capturing Graviton savings without modifying application source code is targeting AWS managed services:

• Amazon RDS & Aurora (PostgreSQL / MySQL): Modifying instance class from db.m6i.large to db.m7g.large requires a simple reboot or automated Multi-AZ failover window. Memory configurations and database parameters align directly.
• Amazon ElastiCache (Redis & Memcached): Transitioning cache nodes to cache.m7g or cache.r7g yields instant latency and cost improvements with zero client protocol changes.
• Amazon OpenSearch Service: Graviton-powered instances deliver significant indexing throughput improvements for log ingestion clusters.

Phase 2: Containerized Workloads on EKS

For microservices running on EKS, modern interpreted, JIT, or cross-compiled languages (Go, Python, Node.js, Java 11+, Rust) run natively on ARM64. The migration workflow involves:

1. Multi-Arch Image Pipelines: Update CI/CD pipelines to build multi-architecture container images using Docker Buildx:

   docker buildx build --platform linux/amd64,linux/arm64 -t registry.example.com/api:v1.4.0 --push .

2. Heterogeneous NodePools: Using Karpenter or mixed EKS managed node groups, configure nodes for both amd64 and arm64 architectures simultaneously.
3. Gradual Traffic Cannarization: Use Kubernetes node affinity or topology spread constraints to schedule 20% of replica pods onto Graviton nodes, validating latency and error rates before full cutover.

What to Watch Out For

While 90%+ of modern software runs cleanly on ARM64, verify:

• Legacy Binary Dependencies: Pre-compiled C/C++ shared libraries (e.g. legacy XML parsers, proprietary vendor monitoring agents) that lack ARM64 binaries.
• Third-Party Helm Charts: Certain vendor sidecars or admission controllers may only publish x86 container manifests.
• Savings Plans Alignment: EC2 Instance Savings Plans locked to x86 families (e.g. c6i) cannot apply to c7g. Ensure you hold Compute Savings Plans or plan your migration around commitment expiration dates.