ETL pipeline using AWS services
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Updated
Sep 12, 2024 - Python
ETL pipeline using AWS services
Amatsooni-seittijumalanpalvelus: Kukonaskelruumiinosantoiminnot
ETL pipeline using AWS services.
Simple bot based on AWS Lambda and Step Functions
This is a sample project to use map state in a state machine to loop through a list of events and invoke a Lambda to process them and store the erros events in a SQS queue. In the subsequest run the Lambda receives the error events from the SQS to retry the processing. The entire stack is created using AWS CloudFormation.
A Demo Step Function using Lambda. The entire stack is created using AWS CloudFormation
Front-end website | Backend API | Authentication | Backend compute functions | Asynchronous reporting workflow | Distributed tracing | Monitoring features | Improving performance
Playing with AWS Lambda Step Functions
Shows the use of AWS Step functions and how you can call them from a python lambda
test app that attempts to recreate concepts from actor model design patterns in AWS Lambda
Serverless Telegram bot made on 4 AWS Lambda chained by AWS Step Functions. All of this written on Serverless Framework using plugins.
Serverless sign-up to Slack (and other services) with Serverless.com
Simple example on how to use AWS Step Functions, to integrate multiple AWS Lambda functions.
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Tibanna helps you run your genomic pipelines on Amazon cloud (AWS). It is used by the 4DN DCIC (4D Nucleome Data Coordination and Integration Center) to process data. Tibanna supports CWL/WDL (w/ docker), Snakemake (w/ conda) and custom Docker/shell command.
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