Apache Airflow: implementation and integration

Apache Airflow message broker is a distributed streaming platform capable of processing millions of events every day. Kafka ensures easy integration into your project infrastructure, system reliability, and scalability. Contact Sales

Kafka Connect

Kafka Connect is an Apache Kafka framework that provides scalability and flexibility for moving data between Kafka and other storage systems. This framework allows the broker to act as an ESB service bus.

Apache Airflow capabilities

Stream data processing

Application activity tracking

Log management and log monitoring

Apache Kafka advantages

Apache Airflow scalability makes it possible to process data of any volume. You can start with one broker to try Airflow's capabilities, and then increase the number of brokers for full-scale system operation. You can also increase capacity while the current set of brokers is running, and this will not affect the system as a whole.

System reliability One of Airflow's advantages is its reliability. For example, if for some reason one of the Airflow brokers goes down, it will switch the entire data flow to the other brokers and automatically redistribute the load among them, and the system will continue operating normally.

Performance Thanks to its high throughput, Apache Airflow can process more than one million events per second. This makes Airflow the most popular message broker for big data work.

ESB system implementation cases

How the implementation of the SberCity property management system enabled
Helped Sber automate property management, speed up processes, and increase transparency
Built a unified API for fast connection of 200+ 1C:Retail systems
Developed a target system integration architecture for a manufacturing enterprise.
Implemented ESB technology and launched 48 streams

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1C integrations through ESB

Pitfalls in ESB integrations

10.07.2023

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