Welcome to BatCat’s documentation!
BatCat is designed to make the data scientist’s life easier when practicing machine learning operations (MLOps) on Amazon Web Services (AWS).
Services of AWS included:
AWS Lambda: a serverless, event-driven compute service
AWS S3 (Simple Storage Service): provides object storage service
Amazon Athena: a serverless, interactive query service on S3
Amazon Redshift: a data warehouse product
Amazon SageMaker: a cloud machine-learning platform that enables developers to create, train, and deploy machine-learning models in the cloud.
Elastic Container Registry (ECR): is a fully managed Docker container registry that makes it easy to store, share, and deploy container images.
AWS Step Functions: a low-code, visual workflow service that developers use to build distributed applications, automate IT and business processes, and build data and machine learning pipelines using AWS services.
Secrets Manager: is a secure and convenient storage system for API keys, passwords, certificates, and other sensitive data.