AWS procing and Design Patterns

 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:

1. 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.

2. 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.

3. 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:

1. Auto Scaling: This pattern allows you to automatically scale your application up or down based on demand.

2. Load Balancing: This pattern allows you to distribute traffic across multiple instances to improve performance and availability.

3. Serverless: This pattern allows you to build applications without provisioning or managing servers.

4. Microservices: This pattern allows you to decompose your application into smaller, independent services that can be developed and deployed independently.

5. Event-Driven Architecture: This pattern allows you to build applications that respond to events in real-time.

6. 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.

Amazon EC2 Instance Types

Amazon Elastic Compute Cloud (EC2) offers a wide range of instance types to support various workloads and use cases.

Each instance type is designed to provide a specific combination of CPU, memory, storage, and network performance.

The following are some of the instance types offered by AWS:

1. General Purpose: These instance types are ideal for small to medium-sized databases, web servers, and development environments. Examples include the T4g, T3, T2, M6g, M5, M4, A1, and A2 instance families.

2. Compute-Optimized: These instance types are designed for compute-intensive workloads that require high CPU performance. Examples include the C6g, C5, C4, and CC2 instance families.

3. Memory-Optimized: These instance types are ideal for workloads that require high memory capacity, such as in-memory databases and big data analytics. Examples include the R6g, R5, R4, X1e, X1, and z1d instance families.

4. Storage-Optimized: These instance types are designed for workloads that require high storage capacity and high I/O performance, such as NoSQL databases, data warehousing, and log processing. Examples include the I3, D2, H1, and G3 instance families.

5. GPU-Instances: These instance types are designed for workloads that require high-performance graphics processing units (GPUs) for deep learning, scientific simulations, and video encoding. Examples include the P4, P3, G4, G3, and Inf1 instance families.

6. FPGA-Instances: These instance types are designed for workloads that require customizable hardware acceleration for specialized workloads. Examples include the F1 instance family.

7. Arm-based Instances: These instance types are based on Arm processors and are optimized for workloads that require high performance at a lower cost. Examples include the Graviton2-based instances.

Each instance type has its own unique characteristics and pricing model, so it is important to choose the instance type that best meets your workload requirements and budget.

AWS Instance tenancy- Reserved and Spot instances

AWS Instance tenancy refers to how an Amazon Elastic Compute Cloud (EC2) instance is placed on the underlying physical host, and whether it is dedicated solely to the customer or shared with other customers.

Reserved instances are a way to save money on AWS EC2 instances by committing to a certain usage level over a one- or three-year term.

With reserved instances, customers can choose between three tenancy options:

1. Dedicated Instance: A physical server that is dedicated to a single customer.

2. Dedicated Host: An entire physical server that is dedicated to a single customer.

3. Default tenancy: An EC2 instance that is shared with other customers on the same physical host.

Spot instances, on the other hand, are a way to purchase spare computing capacity at a discounted rate.

With spot instances, customers bid on unused EC2 capacity, and if their bid is above the current market price, they can use that capacity until the spot price exceeds their bid or they terminate the instance.

Spot instances are always launched as default tenancy, which means they can share the same physical host with other customers' instances.

In summary, the tenancy options for AWS EC2 reserved instances include Dedicated Instance, Dedicated Host, and Default tenancy, while spot instances are always launched as Default tenancy.