Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).

A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow

Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes

CLI that makes it easy to create, test and deploy Airflow DAGs to Astronomer

Open-source cross-platform endpoint detection engine for Windows, macOS, and Linux using ETW, ESF, eBPF, Sigma, YARA, IOCs, and ECS NDJSON alerts.

Terraform module to create AWS ECS resources 🇺🇦

📈 A scalable, production-ready data pipeline for real-time streaming & batch processing, integrating Kafka, Spark, Airflow, AWS, Kubernetes, and MLflow. Supports end-to-end data ingestion, transformation, storage, monitoring, and AI/ML serving with CI/CD automation using Terraform & GitHub Actions.

Creates an ECS Service.

Terraform-based AWS infrastructure repository featuring both modular and non-modular implementations. Covers EC2, VPC, RDS, ECS, S3, IAM, CloudWatch, CI/CD automation with Jenkins and GitHub Actions. Built for learning, reuse, and scalability.

Dataplane is an Airflow inspired unified data platform with additional data mesh and RPA capability to automate, schedule and design data pipelines and workflows. Dataplane is written in Golang with a React front end.

Terraform module to generate well-formed JSON documents (container definitions) that are passed to the aws_ecs_task_definition Terraform resource