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With businesses moving to cloud computing, database management systems (DBMS) have become critical components in cloud software stacks. Scalability and elasticity are two essential aspects of DBMS in the cloud. Scalability allows you to handle increasing workloads without affecting productivity, while elasticity enables the dynamic allocation of resources to meet changes in demand. Hence, it is critical to ensure that the DBMS you use is designed with scalability and elasticity in mind.
This article provides an insight into the world of database scalability and elasticity in cloud infrastructure. We will discuss how businesses can benefit from these critical components and some of the best ways to utilize them. In addition, this article provides a rich context of emerging and novel DBMS with scalability and elasticity as their key features for modern cloud computing.
Scalability and Elasticity in Database Management Systems
Cloud computing environments are characterized by their elasticity, which means that IT resources are allocated dynamically to meet demand fluctuations. This dynamic allocation of resources, however, presents challenges in terms of workload management. That’s where scalability comes in, providing a mechanism to manage increasing demand without impacting productivity.
Scalability can be achieved by scaling horizontally, vertically, or diagonally. Horizontal scaling involves adding more nodes to a system, whereas vertical scaling increases the resources available for a single node. Diagonal scaling is a combination of the two.
Elasticity, on the other hand, refers to the dynamic allocation of resources on sudden changes in demand. It allows cloud services to adapt to workload fluctuations automatically. Lightweight elasticity and intelligent and autonomic controllers are some recent advancements in elasticity.
DBMS designed with scalability and elasticity in mind are optimized to handle the challenges of cloud infrastructure, scaling up and down to meet changing demand while ensuring uptime and availability. Such DBMS have several mechanisms to support scalability and elasticity, including clustering and shared-nothing architecture.