In Part 1, we covered the benefits, considerations, and real-world use cases for Azure VNet Service Endpoints. Now, let's take a closer look at how to track and manage service endpoint usage in your network, focusing on writing complex KQL queries to accurately identify service endpoint configurations. Once identified, you can start assessing your environment to understand the impact and optimize your network setup.
⚡ Querying Service Endpoint Usage with KQL
KQL is one of the most effective tools in Azure for querying large datasets, especially within Azure Resource Graph. It allows you to monitor and identify where service endpoints are being used in your environment and provides visibility into traffic patterns. I have tons of examples in my blog about KQL and Azure Resource Graph. You can check them out for more details.