Little time is wasted when using cloud computing services to size and build a future infrastructure. By simply launching any service with the appropriate configuration, clients pay only for what they use.

The typical process of building an architecture starts with an estimation of parameters needed for an underlying computing infrastructure. After this is established, the procurement process begins. Many companies don’t take into consideration how difficult it is to predict future needs and many end up with an idle server or running applications on a low capacity, for example.

Running computing services on the cloud can easily eliminate the pain of under provisioning or over provisioning resources by offering flexible, scalable, and configurable computing resources that meet specific needs. With a pricing model such as “pay-as-you-go,” it is simple to test how much computing size applications need. This then enables choosing the exact parameters to reserve instances, which can reduce costs by up to 70%. Another way to efficiently reduce costs is using spot instances, which can be used for various stateless, fault-tolerant or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and other test and development workloads. Spot instances can reduce costs by up to 90% when compared to on-demand pricing.

Additionally, with the cloud you can also run containers that allow using docker through Elastic Container Services (ECS) or kubernetes through Elastic Kubernetes Services (EKS). There is also the option of serverless services using AWS Lambda, which allows users to pay only for milliseconds when their code is running.

DFX5 solutions architects are proficient in designing and implementing architectures using cloud computing services by deploying or migrating workloads to the AWS cloud. Contact us for a free assessment.