Designing Cost-Optimized Compute

AWS Amplify

• Front-end and back-end full-stack development.
  • Authentication
  • Storage
  • APIs
  • Supports Angular, Vue, React, Node
  • A few clicks configures all requires AWS services to provide the full-stack.
  • Includes visual UI design.
  • Figma designs can be imported and automatically converted to code.

AppSync

• Provides a GraphQL-based solution for data integration.
• Data sources include DynamoDB, Lambda and HTTP APIs.
• Effectively acts as a GraphQL proxy allowing for access to other data sources that may not be cloud native.

Device Farm

• Provides a farm of real iOS and Android phones/tablets for testing apps.
  • Automated testing with testing frameworks.
  • Manual testing through remote access and control.

Lambda

• Compute service that runs code without servers.
• Runs code only when needed.
• Scales automatically (up to thousands of requests per second.)
• Billed by compute time.

Automated Management:

• Handles server and operating maintenance, logging. -Supports Node.js, Java, C#, Go, Python

Lambda Use Process:

1. Customer builds the code.
2. Customer launches the code as a Lambda function.
3. AWS selects server.
4. Customer calls Lambda function as needed from applications.

API Gateway (Serverless Architecture)

• API management in the cloud.
• Can interact with many targets (AWS services, other web services).

Serverless Architecture: Moves data in and out of the cloud without instances.

• Process functions without instances.

Two Primary Services: APi Gateway + Lambda

Cross Origin Resource Sharing (CORS):

• Can be enabled for the API Gateway.
  • Allows receipt of requests from other domains.
    • Default is internal domain requests only (ie your backend only)
  • Without it, errors will occur (denials).

Kinesis

• Processes streaming data.
• Real-time analytics.
• Multi-tier enabler.
• Very DevOps focused.
• Architecture is fully managed.
  • Configure producers & consumers.
  • Focus is on the analytics.

Kinesis Data Streams:

Input -> Kinesis Data Streams (temp) -> Processing Tools (Lambda) -> Output (Analytics)

Kinesis Data Firehose:

Input -> Kinesis Data Firehose (direct) -> Data Stores (S3) -> Output (Analytics)

Kinesis Video Streams:

SDK video device -> Kinesis Firehose -> Output (Video)

Kinesis Data Analytics:

• Analyzes real-time data streams.
• Based on standard SQL queries.
• Supports concurrent consumer streams.

Input (Kinesis data firehose) -> Kinesis Data Analytics (SQL queries against streams) -> Output (S3)

Reference Architectures

• AWS provides well-architected frameworks.