Apache Airflow and ESB: Data Flow Management

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

Kafka Connect

Kafka Connect is an Apache Kafka framework that provides scalable and flexible data movement between Kafka and other data stores. 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 lets you process data of any volume. You can start with one broker to test Airflow's capabilities, then increase the number of brokers for full-scale production use. You can also increase the volume while the current number 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 one of the Airflow brokers fails for any reason, it will switch the entire data stream to the other brokers and automatically distribute the load between them, so 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 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

2023-07-10

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