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Spring Cloud Data Flow Room for Improvement

Founder at Talkingdeal.com LLC

The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation. 

The documentation on offer is not that good. Spring Cloud Data Flow documentation for the configurations is not exactly clear. Sometimes they provide some examples, which are not complete examples. Some parts are presented in the documentation, but not shown in an example code. When we try to implement multiple configurations, for example, when we integrated with PCF, Pivotal Cloud Foundry, with CDF, there were issues.  It has workspace concept, however, in a CDF when we tried to implement the workspace some kind of boundary configuration was not integrating properly. Then we went to the documentation and tried to somehow customize it a little bit on the configuration level - not in the code level - to get the solution working.

It is open source. Therefore, you need to work a little bit. You need to do some brainstorming on your own. There's no one to ask. We cannot call someone and ask what the problem is. It is an open-source project without technical support. It's up to us to figure out what the problem is.

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

Some of the features, like the monitoring tools, are not very mature and are still evolving. With some of the products we used, they did not integrate well and were hanging a lot. One of the advantages of using open-source is that if you don't like a particular tool then you can use another one.

If you want to use Kubernetes then you have to optimize a lot in terms of resources. I had a 15 GB MacBook Pro, but initially, it wouldn't work because it would hang. There were also some weird shutdowns. We weren't able to figure out exactly why it happened but it was clearly due to having not enough system resources. When then needed to optimize and increase our heap memory.

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