Can I use this for running database migrations?

Absolutely; it provides patterns for running one-off tasks with container overrides, which is the standard approach for running migrations or batch jobs in ECS.

Is error handling included for API calls?

Yes, it features robust error handling patterns for catching specific Boto3 exceptions like ClusterNotFoundException and general BotoCore connection errors.

How do I manage secrets with this skill?

It includes patterns for integrating AWS Secrets Manager directly into container definitions, ensuring sensitive data is never passed as plain-text environment variables.

Does this skill support AWS Fargate?

Yes, it includes specific patterns for Fargate and Fargate Spot capacity providers, which are the recommended launch types for serverless container management.

Does it handle deployment rollbacks?

Yes, the skill emphasizes best practices such as enabling the deployment circuit breaker to ensure automatic rollbacks if a service deployment fails.

AWS Boto3 ECS Integration

Name: AWS Boto3 ECS Integration
Author: adaptationio

byadaptationio

Cloud Infrastructure

Manages Amazon ECS clusters, services, and Fargate deployments using the AWS Boto3 Python SDK.

About

This skill provides comprehensive patterns and best practices for interacting with Amazon Elastic Container Service (ECS) via the Boto3 SDK. It enables developers to programmatically manage the entire ECS lifecycle, including cluster initialization, task definition registration, service scaling, and one-off task execution. By offering standardized implementations for Fargate deployments, capacity provider strategies, and deployment monitoring, this skill helps automate infrastructure workflows and integrate ECS management directly into Python-based applications and CI/CD pipelines.

Key Features

Advanced service operations with deployment circuit breakers and load balancing
Robust error handling and async monitoring using Boto3 waiters
One-off task execution for migrations and batch processing
Cluster lifecycle management including Fargate and Fargate Spot support
0 GitHub stars
Streamlined task definition registration with secrets and log configurations

Use Cases

Programmatically managing task definition revisions and container updates
Automating ECS deployments and service scaling within Python scripts
Implementing custom deployment monitoring and health check logic

About

Key Features

Advanced service operations with deployment circuit breakers and load balancing
Robust error handling and async monitoring using Boto3 waiters
One-off task execution for migrations and batch processing
Cluster lifecycle management including Fargate and Fargate Spot support
0 GitHub stars
Streamlined task definition registration with secrets and log configurations

Use Cases

Programmatically managing task definition revisions and container updates
Automating ECS deployments and service scaling within Python scripts
Implementing custom deployment monitoring and health check logic