Aws Aurora Serverles & Serverless Concepts Flashcards

1
Q

What is Amazon Aurora Serverless?

A

Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora, a MySQL and PostgreSQL-compatible relational database. It automatically adjusts its compute capacity based on actual usage, allowing you to pay only for what you use and eliminating the need to manage database servers.

Example sentence: Aurora Serverless is a cost-effective solution for businesses with fluctuating workloads.

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2
Q

What are the key features of Aurora Serverless?

A

Auto-scaling: Automatically scales compute capacity up or down based on workload.
Cost-Efficiency: Reduces costs by charging for database resources only when they are actively used.
Ease of Management: Eliminates the need to provision or manage database servers.

Additional information: Aurora Serverless is ideal for applications with unpredictable workloads.

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3
Q

What is Serverless Computing?

A

Serverless computing is a cloud computing execution model where the cloud provider runs the server and dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity.

Example sentence: Serverless Computing simplifies the deployment process for developers.

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4
Q

What are the benefits of Serverless Computing?

A

No Server Management: Users do not need to manage servers; the cloud provider handles server provisioning and maintenance.
Scalability: Automatically scales applications in response to real-time demand.
Cost-Effectiveness: Only charges for the compute time and resources used, without any fees when the code is not running.

Additional information: Serverless Computing helps companies save time and money on infrastructure management.

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5
Q

What are common use cases for Serverless Computing?

A

Web Applications: Building and running applications without thinking about servers.
Event-Driven Processing: Handling tasks that respond to events, like file uploads or updates.
Real-Time Data Processing: Processing data as it is generated, suitable for IoT applications or real-time analytics.

Additional information: Serverless Computing is suitable for applications requiring rapid development and deployment.

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