Arm compute instances in the cloud have become increasingly popular in recent years for their cost and energy efficiency compared to traditional x86-based instances. Major cloud providers — including AWS, Azure and GCP — now offer robust Arm options. These instances are especially attractive for large-scale or cost-sensitive workloads. Many of our teams have successfully migrated workloads such as microservices, open-source databases and even high-performance computing to Arm with minimal code changes and only minor build-script adjustments. New cloud-based applications and systems increasingly default to Arm in the cloud. Based on our experience, we recommend Arm compute instances for most workloads unless specific architecture dependencies exist. Modern tooling, such as multi-arch Docker images, further simplifies building and deploying across both Arm and x86 environments.
Arm compute instances in the cloud have become increasingly popular in recent years due to their cost and energy efficiency compared to traditional x86-based instances. Many cloud providers now offer Arm-based instances, including AWS, Azure and GCP. The cost benefits of running Arm in the cloud can be particularly beneficial for businesses that run large workloads or need to scale. We’re seeing many teams of ours moving to Arm instances for workloads like JVM services and even databases (including RDS) without any change in the code and minimal changes in the build scripts. New cloud-based applications and systems increasingly default to Arm in the cloud. Based on our experiences, we recommend Arm compute instances for all workloads unless there are architecture-specific dependencies. The tooling to support multiple architectures, such as multi-arch Docker images, also simplifies build and deploy workflows.
Arm compute instances in the cloud have become increasingly popular over the past few years due to their cost and energy efficiency compared to traditional x86-based instances. Many cloud providers now offer Arm-based instances, including AWS, Azure and GCP. The cost benefits of running Arm in the cloud can be particularly beneficial for businesses that run large workloads or need to scale. Based on our experiences we recommend Arm compute instances for all workloads unless there are architecture-specific dependencies. The tooling to support multiple architectures, like multi-arch docker images, also simplify build and deploy workflows.
