数据出厂诊断设置 [英] Data factory Diagnostic settings

问题描述

我们有一项要求，我们需要定期分析上一季度的管道执行情况，以识别作业失败和执行趋势以报告需求

We have a requirement wherein we need to periodically analyze pipeline executions for the last quarter to identify job failures and execution trends for reporting needs

如果我们想利用azure Log Analytics查询数据并创建报告图表，运营团队已经为其他azure产品创建了azure日志分析，那么我需要启用哪种诊断配置?

The operations team already has azure log analytics created for other azure offerings, in case if we want to leverage azure Log Analytics to query the data and create reporting charts what diagnostic configuration should i need to enable?

在此处输入图片描述

我们正在考虑利用日志分析，但是Data Factory仅将管道运行的数据存储45天，因此我们应该使用日志分析还是应该将数据映射到存储帐户(以保持45天之前的历史趋势)

We are thinking of leveraging log analytics but Data Factory stores pipeline-run data for only 45 days, so should we use log analytics or should we map the data to storage account (to maintain historical trends of before 45 days)

推荐答案

，您可以对Azure存储和日志分析使用诊断设置.因此，最终目标是通过Log Analytics进行报告和查询，因此最好使用Log Analytics，因为通过Log Analytics收集的数据将保留在AzureDiagnostics表中，直到根据工作区的保留设置将其删除为止，而不是由资源控制:)

you can use diagnostic setting to both Azure Storage and Log Analytics. So the final goal is to have reporting and query via Log analytics, it would be preferred to use Log Analytics as data that is collected via Log Analytics will remain in the AzureDiagnostics table until it's removed according to the retention setting for the workspace and is not governed by the resource :)

这篇关于数据出厂诊断设置的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！