AWS Graviton Migration

TO THE NEW delivers AWS Graviton migration as a business transformation, not just an infrastructure change. Our approach combines workload readiness assessment, ARM cloud optimization, automated CI/CD pipelines, and performance engineering to ensure measurable AWS Graviton cost savings and predictable performance gains.

Organizations migrating to AWS Graviton typically achieve 30–70% compute cost reduction, improved application throughput, and lower API latency. Beyond infrastructure savings, our AWS Graviton migration services help enterprises modernize architectures for cloud-native scalability and AI-ready workloads.

We conduct a structured AWS Graviton migration readiness assessment covering application architecture, operating systems, runtimes, container images, third-party libraries, and CI/CD pipelines. This identifies ARM compatibility gaps, defines expected performance uplift, and prioritizes workloads based on ROI.

Our AWS Graviton migration roadmap defines workload sequencing, technical remediation steps, governance controls, performance benchmarks, and rollback strategies. It provides leadership teams with a clear timeline, cost-benefit view, and risk mitigation plan for moving from x86 to ARM-based architectures.

We mitigate AWS Graviton vs x86 migration risks through phased rollout models, automated testing, parallel benchmarking, and blue-green or canary deployments. This ensures functional equivalence, performance validation, and zero disruption to business-critical systems.

Yes. Beyond migration, we deliver deep ARM cloud optimization by tuning compilers, JVMs, container images, memory management, and runtime configurations. This ensures workloads are not just compatible with AWS Graviton but fully optimized for its price-performance advantages.

Absolutely. We run controlled benchmarks comparing x86 and Graviton architectures, analyze CPU and memory utilization, and apply Graviton workload optimization techniques to improve throughput, reduce latency, and stabilize autoscaling behavior.

AWS Graviton-based workloads are well suited for data processing, vector databases, and AI inference pipelines. Our architecture designs optimize Graviton for analytics, machine learning, and GenAI services by aligning compute profiles, storage patterns, and network throughput for cost-efficient AI scaling.

Through AWS Graviton managed services, we provide continuous monitoring, cost optimization, security patching, performance tuning, and capacity planning. This ensures long-term value realization rather than one-time migration benefits.

We integrate Graviton architectures with AWS-native security services and enterprise governance frameworks. Our migrations include IAM controls, encryption, vulnerability scanning, audit logging, and compliance alignment for regulated industries such as BFSI, healthcare, and media.

Timelines depend on workload complexity and scale. Lightweight microservices may migrate in weeks, while enterprise platforms follow a phased roadmap over multiple sprints. Our AWS Graviton migration roadmap ensures continuous delivery without disrupting business operations.

Clients choose TO THE NEW for our proven ability to migrate complex, high-throughput workloads while delivering AWS Graviton cost savings, performance optimization, and operational stability. We combine cloud architecture expertise, automation, and enterprise delivery frameworks to ensure Graviton adoption delivers measurable business value.