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This method exports the current process group from NiFi including any local changes which might not have been committed to the NiFi Registry yet.

To manually export a flow definition from the NiFI canvas, right click the process group you want to export and select Download flow definition to obtain the flow definition in JSON format. Together, Flow Management for Data Hub and Cloudera DataFlow for the Public Cloud provide all the capabilities you need to support the entire data flow development lifecycle from development to production.įigure 6: Exporting data flows using the “Download flow definition” capability in the NiFi canvas even works when you are not versioning your process groups While key NiFi features like visual flow design and interactive data exploration are front and center during the development phase, operational features like resource management, auto-scaling and performance monitoring become crucial once a data flow has been deployed in production and business functions depend on it.ĬDF-PC, the first cloud-native runtime for Apache NiFi data flows, is focused on operationalizing NiFi data flows in production by providing resource isolation, auto-scaling and detailed KPI monitoring for flow deployments.Īt the same time, Flow Management for Cloudera Data Hub provides a traditional NiFi experience focused on visual flow design and interactive data exploration. Like any other software application, NiFi data flows go through a development, testing and production phase. Understanding the data flow development lifecycle This blog post walks you through the data flow development lifecycle and how you can use APIs in CDP Public Cloud to fully automate your flow deployments. With the latest release of Cloudera DataFlow for the Public Cloud (CDF-PC) we added new CLI capabilities that allow you to automate data flow deployments, making it easier than ever before to incorporate Apache NiFi flow deployments into your CI/CD pipelines.