Benefits of running Airflow using AWS Fargate

Many customers find it complicated to right-size servers to match job requirements, and maximizing the infrastructure investment is often a non-trivial exercise. Operating Airflow, however, has traditionally required data scientists to manage servers in addition to developing the business logic. Data scientists and developers have found Airflow useful in a wide variety to use cases, anywhere from the extraction of a few columns from a comma-separated text file to paying dividends on a popular trading platform or managing video processing. It allows you to develop pipelines that process data or run complex jobs in an automated and distributed manner. To keep up with this explosion of data, batch processing, which continues to be at the core of data analytics, has become distributed and massively parallel, giving data scientists the ability to compute massive amounts of data at near real-time speeds in a cost-effective manner.Īpache Airflow is much more than a simple batch processing platform. Raw data must be processed, cleansed, and married to other data sources before it can catalyze meaningful insights. Today, many systems generate telemetry data used to understand customer behavior, analyze trends, and enhance our products however, a significant portion of the data most systems generate is not readily consumable. Whether we are making financial predictions, understanding sales figures, or buying a new vacuum cleaner, datasets help us at every step of the decision-making process. Given the advances in cloud computing and cheaper storage, our reliance on data as a society continues to grow every day. This post presents a reference architecture where Airflow runs entirely on AWS Fargate with Amazon Elastic Container Service (ECS) as the orchestrator, which means you don’t have to provision and manage servers. Airflow helps you automate and orchestrate complex data pipelines that can be multistep with inter-dependencies. Apache Airflow is an open-source distributed workflow management platform that allows you to schedule, orchestrate, and monitor workflows.

Airflow aws