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Performance overhead of in-memory SLA calculations
SLAs in Enhancer Plugin works in a simple way, it dynamically calculates the current values of SLA from scratch every time an a user browse an issue. Clearly this simple method does not scale well with large instances and issues with long history. We have overcome this problem in Time to SLA plugin by constructing a database backed calculation mechanism which greatly improves the performance and could easily answer any size of demand from customers.
Problems with searches based on SLA fields
SLA metrics on Enhancer Plugin are calculated on the fly and this calculation includes JQL evaluation in SLA definition. Can you guess what happens when you make searches based on those SLA fields? JEP tries to evaluate those JQLs in SLA definition yet since there is an already ongoing search this might fail easily.
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