Scalability & Availability
Last updated
Last updated
Refers to the deployment of cloud resources in specific geographic regions. Cloud providers operate multiple data centers in various regions around the world, enabling users to deploy and access resources in chosen geographic areas for better performance and compliance.
Capacity and Scale: Regional computing allows users to leverage local data centers' capacity and scale. This approach supports large-scale workloads and can handle varying demands by distributing resources across different locations.
Availability Zones: Within a region, cloud providers offer multiple availability zones (AZs), each with its own power, networking, and connectivity. AZs are designed to be isolated from failures in other zones, ensuring high availability and fault tolerance.
Measures the accessibility and operational status of cloud services and resources. High availability ensures that services are continuously operational and accessible to users.
Load Balancing: Distributes traffic and workloads across multiple servers or instances to prevent any single point of failure.
Disaster Recovery: Provides mechanisms to recover and restore services in case of failures or disruptions.
Redundancy: Involves duplicating critical components to ensure continuous operation even if one component fails.
Failover: Automatically switches to a backup system or resource if the primary system fails.
Refers to the ability of cloud infrastructure to handle large-scale workloads and adapt to rapid growth. It includes scaling resources such as computing power, storage, and network bandwidth based on demand.
Auto-Scaling: Adjusts resources dynamically in response to changing workloads, optimizing cost and performance by adding or removing resources as needed.
