A company's media-sharing platform encounters fluctuating levels of user engagement, leading to sporadic performance bottlenecks and the overprovisioning of resources during quieter periods. Which service should be implemented to automatically adjust the quantity of compute resources to align with the real-time workload demands and achieve cost savings?
Allocate a constant quantity of larger compute instances
Manually scale the compute instances based on projected usage
An elasticity provider that adjusts capacity in real-time
Deploy a serverless architecture for all the backend processes
The correct service to implement in this scenario is an elasticity provider that dynamically adjusts compute capacity in response to real-time workload demands, ensuring performance and cost-efficiency. This service optimizes resources by adding them during peak demand and scaling down as traffic decreases, eliminating the risk of overprovisioning and the need for manual intervention. While increasing instance sizes and using a serverless architecture can help in managing workloads, they do not offer the same level of dynamic adaptability without predefined scaling policies.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What is an elasticity provider and how does it work?
Open an interactive chat with Bash
What are the benefits of implementing an elasticity provider for a media-sharing platform?
Open an interactive chat with Bash
What are some common services in AWS that support elasticity?
Open an interactive chat with Bash
AWS Cloud Practitioner CLF-C02
Cloud Technology and Services
Your Score:
Report Issue
Bash, the Crucial Exams Chat Bot
AI Bot
Loading...
Loading...
Loading...
Information Technology Package Join Premium for Full Access