Apache Airflow at Enterprise Grade
Apache Airflow is the open-source platform that allows the programmable scheduling and monitoring of workflows. It was originally developed by Airbnb in 2014, and since then it has become a popular tool in the data engineering and data science communities. We started working with Airflow when it was a software tool in incubation stage, back in 2014. Since then, we applied many customization and advanced fixes to achieve the high-demanding goals of mission critical production environments.
One of the key features of Apache Airflow is the user interface that makes it easier to visually monitor and manage workflows. The UI provides a more intuitive user experience, allowing users to easily view and understand the status of their workflows, as well as access detailed logs and metrics. This interface has made Apache Airflow more user-friendly and accessible to a wider range of users. We have further extended it, adding additional functionalities like, for example, a full text search engine providing the possibility to search all the contents, DAGs and data, in a simple human way. Custom operators, alerts, data storage, well formatted XCom records and many other things are a realty in our improved version. Apache Airflow has a good security and reliability, but our customized version goes further adding stuff like password policy checking, weak passwords detection, multi-fact authentication and many other things. The platform supports industry-standard security protocols such as OAuth 2.0 and Kerberos, together with LDAP-compliant authentication systems, making it easier to integrate with existing security infrastructure. Overall, Apache Airflow represents a significant advancement in workflow orchestration and automation. Its new features and improvements have made it a more powerful and reliable platform for managing workflows in data engineering and data science projects. As the demand for data-driven decision-making continues to grow, Apache Airflow provides a valuable tool for streamlining and automating the course of data processing and analysis. Our version is committed to achieve high availability natively, using a deployment software architecture that supports the goal of a continuously running, fully scalable solution. It can work on many different types of infrastructures, including virtualized and cloud ones, with a strong commitment for an on-premise solution. The last, in facts, gives our clients a complete data sovereignty, respecting the strict rules of any regulated field like, for example, financial, trading and military environments. |
Xyste's Apache Airflow is a cutting-edge tool that is well-suited for the complex and ever-evolving needs of the modern data-driven organization. Its constantly released features and improvements have made it a more user-friendly, efficient, and reliable platform for orchestrating workflows. As organizations continue to harness the power of data for strategic decision-making, Xyste's Apache Airflow will play an important role in enabling them to efficiently manage and analyse their data at scale. |