Creating smaller and more focused playbooks in Splunk SOAR is considered good design practice for several reasons:
•B: It reduces complexity, making playbooks easier to maintain. Large, complex playbooks can become unwieldy and difficult to troubleshoot or update.
•C: Encourages code reuse, as smaller playbooks can be designed to handle specific tasks that can be reused across different scenarios.
•D: Avoids duplication of code, as common functionalities can be centralized within specific playbooks, rather than having the same code replicated across multiple playbooks.
This approach has several benefits, such as:
•Reducing large complex playbooks which become difficult to maintain. Smaller playbooks are easier to read, debug, and update1.
•Encouraging code reuse in a more compartmentalized form. Smaller playbooks can be used as building blocks for multiple scenarios, reducing the need to write duplicate code12.
•Improving performance and scalability. Smaller playbooks can run faster and consume less resources than larger playbooks2.
The other options are not valid reasons for creating smaller and more focused playbooks. Reducing the amount of playbook data stored in each repo is not a significant benefit, as the playbook data is not very large compared to other types of data in Splunk SOAR. Avoiding duplication of code across multiple playbooks is a consequence of code reuse, not a separate goal.
