Reliable and scalable serverless based http-task manager using data stream executions. Can handle a larnge amount of tasks by using event data streams. It supports asynchronous event driven callbacks and retries.
- Execution retries
- Asynchronous executions (asynch strategy)
- No-blocking, totally event-driven
- Scalable
Just follow the serverless-framework deployment setup and execute the following command:
npm install
npm run deploy <environment-name>
After the deployment you will the following endpoint availability:
endpoints:
POST - https://xxx.execute-api.xxx.amazonaws.com/xx/task/add
POST - https://xxx.execute-api.xxx.amazonaws.com/xx/task/callback/{id}
GET - https://xxx.execute-api.xxx.amazonaws.com/xx/task/result/{id}
The await execution strategy performs a simple request and handles the response as the result. Once the result is available, the callback execution follows.
Activities:
Put task -> execute task -> execute callback
POST /dev/task/add HTTP/1.1
{
"request": {
"uri": "https://you-endpoint-to-process-input.com",
"method": "post",
"body": "your input to process"
},
"callback": {
"uri": "https://your-endpoint-to-callback-after-input-is-processed.com",
"method": "post"
}
}
The response should look similar to the following:
{
"request": {
"uri": "https://you-endpoint-to-process-input.com",
"method": "post",
"body": "your input to process",
"headers": [
{
"key": "Accept",
"value": "application/json"
}
]
},
"callback": {
"uri": "https://your-endpoint-to-callback-after-input-is-processed.com",
"method": "post",
"body": "{}",
"headers": [
{
"key": "Accept",
"value": "application/json"
}
]
},
"strategy": "await",
"id": "4f855561-8fe5-41d0-94ac-e0537c7c419b"
}
Once the request has been performed, the task-manager executes the callback endpoint with the processed data as body.