检索 Azure 诊断
我有一个在 Azure 上运行的应用程序，它会记录（实际上是跟踪）到 Azure 诊断存储。我正在寻找一个可以用来分析这些日志的好工具。
我知道可以使用 Visual Studio 中的服务器资源管理器检索这些跟踪日志，但这个工具有点麻烦。例如，我无法指定日志记录的时间间隔。
还尝试了 Cerebrata 的 Azure Diagnostics Manager，这很好，但想知道是否还有其他好的替代方案？
（日志记录本身工作得很好，我感兴趣的是日志的检索和分析）
I have an app running on Azure which logs (traces, really) to the Azure Diagnostics storage. I'm looking for a good tool which can be used to analyze these logs.
I know it's possible to retrieve these trace logs using the Server Explorer in Visual Studio, but this tool is a bit cumbersome. For instance, I can't specify a time interval for log records.
Also tried Azure Diagnostics Manager from Cerebrata, which is nice, but wonder if there any other good alternatives?
(The logging itself works just fine, it's the retrieval and analysis of the logs which I'm interested in)
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Cerebrata 无疑拥有最完整的诊断解决方案，而且价格不是特别昂贵，但仍然需要花钱。
如果您只是查看跟踪信息，那么我发现仅查询 Azure 表就足够了。如果您无法在头脑中将时间转换为刻度（这就是表的 PartitionKey），那么您可以使用 LINQPad。 Jason Haley 提供了 完整说明和帮助代码。
Cerebrata certainly have the most complete solution for dealing with diagnostics and it's not especially expensive, but it does still cost money.
If you're just looking at the trace information then I've found that just querying the Azure Tables works well enough. If you're not able to convert a time into ticks in your head (which is what the PartitionKey of the table is), then you can use LINQPad. Jason Haley has provided full instructions and helper code.
Cerebrata 的工具可能是迄今为止处理诊断信息的最佳工具。
Cerebrata's tool is probably the best to date to deal with diagnostics information.
另请尝试 Stackify。他们的 DevOps 解决方案使您可以轻松地远程查看故障排除所需的服务器详细信息，而无需使用 Azure 存储帐户。查看这篇文章：Windows Azure 诊断：坏的、丑陋的和更好的方法
Also try Stackify. Their DevOps solutions makes it really easy to remotely see server details needed for troubleshooting without using azure storage accounts. Check out this article: Windows Azure Diagnostics: The Bad, The Ugly, and a Better Way
我刚刚遇到这个MSDN 博客文章。它自 9 月份以来就没有更新过，但看起来它有足够丰富的功能集。
I just came across this MSDN blog post. It hasn't been updated since September but looks like it has a rich enough feature set.