Hello, Alexey. Why do we need distributed metrics in the first place? It seems, there are many metric processing system out there: Prometheus, Zabbix, Splunk, etc.
Each of then can aggregate metrics in many ways. I think, we should not use Ignite as an metrics aggregation system. What do you think? В Вт, 10/09/2019 в 13:08 +0300, Алексей Платонов пишет: > Hi Igniters! > I've been working on a prototype of distributed metrics computation for > ML-models. Unfortunately, we don't have an ability to compute metrics in a > distributed manner, so, it leads to gathering metric statistics to client > node via ScanQuery and all flow of vectors from partitions will be sent to > a client. I want to avoid such behavior and I propose the framework for > metrics computation using MapReduce approach based on an aggregation of > statistics for metrics. > > I prepared an issue in Apache Jira for this: > https://issues.apache.org/jira/browse/IGNITE-12155 > Also, I prepared PR for it: https://github.com/apache/ignite/pull/6857 > Currently, the work on this framework is still running but I'm going to > prepare full PR during this week. > > By this email, I want to start a discussion about this idea. > > Best regards, > Alexey Platonov
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