Overview of database scalability in cloud computing, and the difference between scaling up and scaling out to handle changing workloads and manage performance.

Dec 28, 2023 · Scaling up and scaling out are the two main methods used to increase data storage capacity. Learn more about what they are, how they differ, and which one might be right for you.

Executive Summary and scaling out in modern AI data centers. By highlighting key industry developments and the continuous evolution of advanced scaling techniques, the authors aim …

Jun 22, 2023 · Simply put, scaling up is adding further resources, like hard drives and memory, to increase the computing capacity of physical servers; whereas scaling out is adding more …

Mar 10, 2025 · Scale-up, often referred to as vertical scaling, is done by adding more resources to an existing system to reach a desired state of performance. For example, a database or web …

Sep 23, 2024 · Design your application so that it can scale horizontally, adding or removing instances, matching supply to demand. Scalability is measured by the ratio of throughput gain …

Oct 17, 2023 · Scaling Up vs. Scaling Out: What’s the Difference? Put simply, scaling up is upgrading an existing server for more capacity and better performance, while scaling out is …

Aug 14, 2023 · Scaling out enables you to increase the overall compute power by running queries in parallel across multiple instances, handling more at once.

Dec 11, 2024 · Scale-up storage increases capacity by adding more hardware to a single system, while scale-out adds more nodes to a distributed system. Scale-out architectures are better for flexibility, fault tolerance, and linear scalability in cloud-native environments.

Dec 22, 2021 · We look at the differences between scale-up and scale-out in storage – or horizontal vs vertical scaling – and the key ways it can be carried out on-prem and in the cloud.