Created 09-30-2024 04:00 AM
Hi,
I am trying to understand what is the optimal development lifecycle of Apache Nifi flows that should be ported from dev to qa to prod.
I read some articles such as https://community.cloudera.com/t5/Support-Questions/Hortonworks-HDF-Apache-Nifi-how-to-deploy-a-flow... and I usually use export/import template in my flows but it's having some big drawback than I am not sure how they can be overcomed.
In particular the issue is that the template/flow definition contains inside "code" and "logic" information together with "environment configurations" that shouldn't be exported and imported.
With that I mean information such as number of threads per processor that should not be exported because obviously usualy prod environments have more resources so can support more threads and cron configurations that obviously can change between a dev/qa and prod environment.
It seems like Apache Nifi was not designed well following the 12 factor principles https://12factor.net/ as obviously it actually stores some configurations that should be outside the flow/template inside it.
Can somebody please help me clear this point and explain if I am misuderstanding the tool?
Thanks in advance!
Created 12-25-2024 03:57 PM
@Roomka
Looks an old post all the same I will try to answer and I hope its still relevant to others too
The challenges you're facing with Apache NiFi's development life cycle stem from its design, which does not fully separate code/logic and environment-specific configurations. To address this and create a robust process for porting flows from dev to QA to prod, consider the following solutions:
NiFi supports Parameter Contexts, which can be used to externalize environment-specific configurations. This allows you to separate logic from environment-specific details.
Assign the appropriate Parameter Context for that environment.
2. Use NiFi Registry for Flow Versioning and Promotion
The NiFi Registry provides a way to version control your flows and manage deployments across environments.
In each environment, override parameters using the appropriate Parameter Context.
3. Handle Env.-Specific Differences with External Configuration Management
If Parameter Contexts are insufficient, consider externalizing configurations entirely using tools like Consul, AWS Parameter Store, or environment variables.
This ensures the flow logic remains the same across environments, and only the external configurations vary.
4. Adopt Best Practices for Flow Design
To reduce the impact of embedded environment-specific details, follow these design principles:
Split flows into smaller, reusable components to reduce complexity and improve maintainability.
Automate the deployment process to ensure consistency and reduce manual errors.
Include steps to set up Parameter Contexts or fetch external configurations as part of the deployment pipeline.
While NiFi isn't designed to fully adhere to 12-factor principles, you can adapt your processes to bridge this gap: