Incorporating Regex-Based Conditions in Edwin AI Correlation Model
Summary: Mahesh Navale expresses concerns over the current limitations of the Edwin AI correlation model within LogicMonitor. The absence of Regex-based conditions has posed challenges for global customers, as percentage-based match models fail to meet various monitoring needs. Mahesh Navale invites community members to discuss their experiences and alternative methods they have adopted due to this limitation. They emphasize that community feedback could influence LogicMonitor's development roadmap, potentially leading to the introduction of Regex support in the near future.
The Edwin AI correlation model within LogicMonitor currently lacks the capability to set up Regex-based conditions, making it challenging for global customers to effectively utilize the correlation and deduplication features. As the existing percentage-based match models may not adequately address diverse monitoring needs, introducing Regex support could greatly enhance flexibility and precision.
We invite community members to share their thoughts and experiences regarding this limitation. How has the absence of Regex-based conditions in the correlation model impacted your monitoring strategies? Additionally, do you think adding this feature would significantly improve the effectiveness of LogicMonitor's correlation and deduplication capabilities?
Moreover, we would like to know if there are alternative approaches you have adopted to overcome this obstacle. Your insights could be invaluable in influencing LogicMonitor's development roadmap and potentially accelerating the delivery of this enhancement within the current fiscal year. We look forward to hearing your valuable feedback and suggestions!
