Glossary Terms

Auto-scaling refers to automatically adjusting the number of computing resources assigned to a particular application or service based on its current demand. This technology is often used in cloud computing

Chargeback in cloud computing is the practice of attributing the costs of cloud resources to the specific business units, departments, or projects that utilize those resources. This method helps promote

Cloud cost management, also known as cloud cost optimization, involves organizing and controlling the costs and operations of cloud technology within an organization. This includes identifying and implementing cost-effective strategies

Container cost optimization refers to the practices and strategies employed to manage and reduce the costs of running containerized applications in cloud environments. This process involves maximizing resource utilization efficiency

Cost allocation tags are key-value pairs attached to AWS resources that allow organizations to categorize and track their AWS costs with high granularity. These tags enable organizations to assign costs

Cost anomaly detection utilizes machine learning to identify and alert to unusual spending patterns within an organization’s AWS services. This tool is essential for monitoring and managing cloud costs by

Data transfer costs in cloud computing refer to the fees associated with moving data within and between cloud services, across different regions, or from the cloud to on-premises environments. These

Dynamic provisioning in cloud computing and data centers refers to the automated process of allocating and managing storage resources on demand. This technology eliminates the need for administrators to manually

Egress charges refer to the fees incurred when data is transferred from a cloud provider’s network to another location, such as another cloud service, an on-premises data center, or the

Elasticity in cloud computing refers to the ability of a cloud environment to dynamically allocate and de-allocate resources as needed to handle fluctuating workloads efficiently. This capability allows systems to

Horizontal scaling in cloud computing means increasing or decreasing computational capacity by adding or removing multiple servers or nodes to handle changing workloads. This approach ensures improved performance and fault

Idle resources in cloud computing refer to computing assets, such as virtual machines (VMs), storage, databases, or other services, that remain active but are underutilized or not performing productive tasks.

An instance scheduler is a tool or service that automates the management of cloud computing instances, such as virtual machines (VMs) or databases, by starting or stopping them based on

Instance types in cloud computing refer to predefined configurations of virtual machines (VMs) offered by cloud service providers. Each instance type specifies a combination of compute power (CPU), memory, storage,

Kubernetes cost management refers to monitoring, optimizing, and controlling costs associated with running Kubernetes clusters in cloud or hybrid environments. It involves analyzing resource usage, identifying inefficiencies, and implementing strategies

A savings plan is a cost-reduction pricing model offered by major cloud services providers, such as AWS, Azure, and Google Cloud. It allows businesses to lower their cloud expenses by

Savings rate in cloud computing refers to the percentage reduction in costs achieved by optimizing resource usage, selecting cost-efficient pricing models, or utilizing discounts and savings mechanisms offered by cloud

Spot instances are a pricing model offered by cloud providers such as AWS, Google Cloud, and Microsoft Azure. They allow users to rent unused cloud capacity at a significantly lower

Total Cost of Ownership (TCO) in cloud computing refers to the complete cost of owning and operating a cloud environment over a specified period. Unlike direct costs, such as subscription

Vertical scaling refers to increasing or decreasing the capacity of a single virtual machine or server by adding or reducing resources such as CPU, memory, or storage. Unlike horizontal scaling,