Redacting sensitive information with Application Insights in C# Paid Members Public
This article teaches you how to redact sensitive information in Application Insights when you send traces from your .NET applications.
Favorite security-focused open-source workbooks for Azure Monitor and Microsoft Sentinel Paid Members Public
Let's explore some of the Open Source workbooks that exist for Azure Monitor and Microsoft Sentinel. Why are they important to know about? What are some use cases? Read this article to understand some of my favorite use cases and well-used workbooks, tailored to my specific needs.
Create Azure Monitor Alert Rules with Azure Bicep Paid Members Public
Previously, I wrote a well-received popular blog post about Getting started with Azure Bicep. In that post, I also explained how you could automatically convert your JSON ARM templates into Bicep using the Bicep CLI. Regularly, I see new Bicep templates and other code being shared - but seldom the
Deep-linking Azure Log Analytics and Application Insights queries Paid Members Public
For a while, I've wanted to craft deep links (direct links) to queries in Azure Monitor. Either directly to Log Analytics workspaces or to Application Insights resources I have. I have plenty of use cases for this, but most notably is the fact that we want to easily
Enforce authentication when sending Application Insights telemetry Paid Members Public
Microsoft recently announced the capability, and public preview, of authenticated requests to Application Insights. This is an important update for a wide range of reasons. In this post, we'll explore how to configure your Application Insights instance to reject requests that aren't authenticated and with the
Create Azure DevOps or GitHub bugs from Azure Monitor logs Paid Members Public
When operating distributed applications it can be a lot of work if you want to copy error details into tickets and work items for your teams to look at. In this post we're taking a quick look at how we can quickly send specific log entries from Application Insights over to Azure DevOps or GitHub.
Excluding failing dependencies from Application Insights logging Paid Members Public
Implement an ITelemetryProcessor to ignore specific dependency failures in your Application Insights service - this help keep the data clean(er), reduces cost, and ultimately reduces false positives.
Querying data from multiple Application Insights instances Paid Members Public
Getting insights into the resources we operate is a crucial part of understanding where we need to improve and what works well. In reality, the insights and telemetry we gather exist in various regions and datacenters. Data sits in multiple subscriptions and different resource groups - even the same application