5 Benefits of Managed Workflows for Apache Airflow
Apache Airflow is one of the most popular open source workflow management systems used to automate data pipelines. However, as a developer, you need more than just a way to run your workflows. You also need access to features that help you focus on solving business problems instead of managing infrastructure issues. That’s why there is a managed service that provides everything you need to run Apache Airflow in production. Here are five ways that MWAA can make it easier for your organization to get started with this powerful tool:
It provides a managed service where you can focus on your data instead of infrastructure.
Managed workflow system is a service where you can focus on your data instead of infrastructure. You can use it to solve business problems and unlock insights in minutes, not weeks or months. All this while taking advantage of Apache Airflow’s robust workflow automation engine, with no need to worry about:
- Maintenance and scaling
- Patching security vulnerabilities
- Hiring engineers to build out an entire software stack
It is built on AWS.
MWAA is built on AWS and offers a fully managed service that you can use to monitor, manage, and scale your workflows. It’s also a web UI you can use to monitor and manage your workflows taraftarium24.
It offers the ability to launch configuration templates with a single click out-of-the-box.
Managed Workflow of Apache Airflows offers the ability to launch configuration templates with a single click out-of-the-box. You can also use its web UI to monitor and manage your workflows, whether they’re running on EC2 or Fargate. MWAA is highly scalable, offering an auto-scaling feature that automatically increases or decreases the number of workers depending on the load placed on its cluster. With this system’s built-in security features, you don’t have to worry about protecting your data in transit or at rest: it will do all this for you!
It is highly scalable.
Apache Airflow has a built-in feature called Workflow Auto-Scaling that allows you to scale the number of running workflows up or down based on your load.
This means that this system will automatically scale with your workflow usage, and can be scaled up until there are thousands of workflows in flight at the same time. You don’t have to worry about this system slowing down as you add more users, because it will keep up! And if you’re not using all those workflows at once? You can tell MWAA to stop running them for now so they don’t cost any money until they’re needed again.
It lets you focus on solving business problems instead of managing infrastructure issues.
Apache Airflow can help you focus on solving business problems instead of managing infrastructure issues.
With this system, you can focus on the data itself and stop worrying about how to manage it. In other words, with Apache Airflow:
- You can focus on your data instead of worrying about infrastructure management
- You can focus on your data rather than what’s happening in your database or server logs
MWAA helps you focus on your data and solve business problems instead of worrying about infrastructure issues. It also makes it easy to get started with Apache Airflow by offering configuration templates that can be deployed in just a few clicks. It is built on AWS and can scale up or down as needed, which means no need for you to worry about infrastructure management like EC2 instances or security patches. Lastly, the web UI offers a streamlined way for you to check on progress in your workflows at any time