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Spring Cloud Data Flow Valuable Features

Founder at Talkingdeal.com LLC

Mostly we enjoy the orchestration of microservices as you can have a Spring Boot application and build your own steps. You can deal with multiple processors as you need. There is a Spring Task inside CDF. That task is also helpful for a temporary position. You can trigger some tasks and it will do something in a few microseconds and then finish the task. There is no memory occupied by running the microservice. You can just open the microservice and it will do some work and then it will die and memory is released. These kinds of temporary activities are also helpful. 

It's a low-resource type of product. You have a scheduler running, and you have a lot of smaller tasks to be done by the Scheduler. Therefore, you don't need to keep the microservice running. You can trigger the task and the task will be executed and it will be down and GAR execution will be down and then memory will be released. So you don't ever need to keep any long life microservices.

There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure.

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Senior Platform Associate L2 at a tech services company with 10,001+ employees

The most valuable feature is real-time streaming.

It integrates very well with Kafka. The integration of Elasticsearch Appian was indeed very good because we just attached Appian to a pipeline. We had an Elasticsearch cloud, on-premises, so we were able to connect to the data.

It is open-source and has rich community support.

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