To efficiently leverage a cloud elasticity solution, you must first understand its key concepts. Read our glossary on elasticity in cloud computing.
Cloud Computing Elasticity – Definition
The elasticity of cloud computing can be compared to using a flexible rubber band that adjusts according to the needs of your computer resources. Put simply, cloud technology allows you to easily adjust your computer power, memory, and storage to suit the unique requirements of your application. This can be done either automatically based on demand or manually when required.
Elastic Cloud Computing Instance
Instances are like virtual servers in the cloud that can be easily adjusted in size. Their scalability allows organizations to manage resources and costs efficiently by changing their computing power as needed rather than paying for fixed server sizes.
Provisioning and De-provisioning
Provisioning is an act of adding resources to your system as and when demand grows. Conversely, de-provisioning is about resource removal when demand takes a dip. The goal is to keep resource allocation in sync with the ever-changing needs of your system, ensuring optimal efficiency.
Cloud elasticity enables organizations to expand resources using external cloud capacity when unpredictable workloads occur. Bursting is a flexible deployment approach that lets organizations tap into the scalability of a public cloud when their private cloud can’t handle the demand. This is like borrowing extra power from an external cloud, which is not only cost-effective but also spares you from getting locked into long-term infrastructure costs.
Elastic Load Balancing
This technique ensures that incoming network traffic is divided intelligently among various resources or servers. The aim? To make sure each of them carries its fair share of the load. This boosts performance and prevents any single resource from buckling under pressure.
Capacity planning is the process of estimating the amount of resources like computing power, instance storage space, and network bandwidth a system will need in the future based on historical usage patterns and growth expectations.
On-Demand vs. Reserved Instances
On-demand instances are like pay-as-you-go services, where you only pay for the resources you use when you use them. In contrast, reserved instances involve committing to a specific amount of resources for a fixed duration, often leading to cost savings but with less flexibility.
Cloud providers pool computing resources, networks, and storage to serve multiple clients simultaneously. They deftly allocate and reallocate resources based on consumer demand, ensuring everyone gets their fair share. Elasticity in cloud computing enables cloud providers to meet the various needs of many customers while remaining financially viable.