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AWS Deployment Architecture

AWS Deployment Architecture

Uploads to S3 will trigger a

Lamda function to put

jobs in DynamoDB

and SQS

Upload object into

input S3 bucket

Worker

Worker(spot)

Worker(spot)

Worker

Worker(spot)

Worker(spot)

Workers will update Job status

(start time,SLA end time,etc)

in DynamoDB

Workers will check for jobs in the queue

Availability Zone A

Availability Zone B

Output S3 bucket

Spot Autoscaling group

Spot Autoscaling group

Spot Autoscaling group

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publish time: 2021-03-17
Captain O Captain

AWS CodeDeploy is a fully managed development service that automates software deployments to a variety of computing services such as Amazon EC2, AWS Fargate, AWS Lambda, and on-premise servers. AWS Deployment Architecture applications are created using EdrawMax Online to provide the end-user a real-world example that can be used as a base reference architecture. In the following AWS Deployment Architecture diagram, there are several workers who are shown in the availability zone of the server. These workers are assigned a unique id based on their arrival in the availability zone. These workers will upload their requirements which will trigger a Lambda function and the workers will get their start time, SLA end-time into Dynamo DB.

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