AWS pricing can vary depending on the service and pricing model used. Some common pricing models for AWS services include pay-as-you-go, reserved instances, and spot instances. Here are some examples:
Pay-As-You-Go: This is a usage-based pricing model where you pay only for the resources you consume, such as EC2 instances, storage, and data transfer.
Reserved Instances: This is a pricing model that allows you to save money by committing to a one- or three-year term for a specific instance type. The longer the term, the greater the discount.
Spot Instances: This is a pricing model where you can bid on unused EC2 instances and pay the current market price. Spot instances can be much cheaper than on-demand instances but can be interrupted if the spot price rises above your bid.
As for AWS Design Patterns, they are best practices for designing and implementing applications on AWS infrastructure.
Design patterns can help you build scalable, reliable, and cost-effective applications. Some common AWS Design Patterns include:
Auto Scaling: This pattern allows you to automatically scale your application up or down based on demand.
Load Balancing: This pattern allows you to distribute traffic across multiple instances to improve performance and availability.
Serverless: This pattern allows you to build applications without provisioning or managing servers.
Microservices: This pattern allows you to decompose your application into smaller, independent services that can be developed and deployed independently.
Event-Driven Architecture: This pattern allows you to build applications that respond to events in real-time.
Caching: This pattern allows you to improve application performance by caching frequently accessed data.
By using AWS Design Patterns, you can optimize your application architecture for AWS services and take advantage of the scalability, reliability, and cost-effectiveness of AWS infrastructure.
