On-demand Compute and Storage
1. Introduction
On-demand compute and storage refer to the capability to provision resources such as computing power and storage capacity as needed. This flexibility allows businesses to scale their resources up or down based on demand.
2. Key Concepts
- **Scalability**: The ability to scale resources up or down based on demand.
- **Elasticity**: The capacity to automatically allocate and deallocate resources as needed.
- **Pay-as-you-go**: Users pay only for the resources they consume.
3. AWS Services
AWS provides several services for on-demand compute and storage:
- Amazon EC2: Provides resizable compute capacity in the cloud.
- Amazon S3: Scalable object storage for data backup and archiving.
- AWS Lambda: Run code without provisioning or managing servers.
4. Best Practices
Note: Proper resource management is crucial to avoid unexpected costs.
- Utilize tags for resource organization.
- Monitor usage through AWS CloudWatch.
- Implement auto-scaling groups for EC2 instances.
5. FAQ
What is on-demand compute?
On-demand compute refers to the ability to access computing resources as needed, without long-term commitments.
How does AWS charge for on-demand services?
AWS charges based on the resources utilized, including hours used, data transferred, and storage consumed.
Flowchart of Decision-Making Process
graph TD;
A[Start] --> B{Need Compute or Storage?};
B -- Yes --> C{On-demand?};
C -- Yes --> D[Provision Resources];
C -- No --> E[Provision Resources Long-term];
B -- No --> F[End];