Diagnostic Settings

Step-by-Step Guide to Monitoring AKS in Azure In this blog post, we’ll walk you through the process of creating an Azure Kubernetes Service (AKS) cluster, enabling diagnostic settings, sending events to a Log Analytics workspace, creating a KQL query to look for pods in a CrashLoopBackOff state, and setting up alerts to notify you via email and SMS if a pod remains in this state for longer than 10 minutes. 1. Create AKS in Azure To create an AKS cluster, follow these steps: 2. Enable Diagnostic Settings Once the AKS cluster is created, enable diagnostic settings to monitor the cluster: 3. Send Events to Log Analytics Workspace Ensure that events from your AKS cluster are being sent to your Log Analytics workspace: 4. Create KQL Query to Look for Pods in CrashLoopBackOff Now, create a KQL query to identify pods in a CrashLoopBackOff state: 5. Create Alerts for CrashLoopBackOff State Set up an alert to notify you if a pod is in the CrashLoopBackOff state for longer than 10 minutes: Summary Table Step Description Actions 1 Create AKS in Azure Navigate to Azure Portal, create a Kubernetes Service, configure basic settings, node pools, and create the cluster. 2 Enable Diagnostic Settings Go to AKS cluster, enable diagnostics, select logs to collect, and save settings. 3 Send Events to Log Analytics Workspace Ensure events are sent to Log Analytics workspace, verify logs collection. 4 Create KQL Query for CrashLoopBackOff Write and run a KQL query in Log Analytics to find CrashLoopBackOff pods. 5 Create Alerts for CrashLoopBackOff State Set up alert rule, configure condition and action group, specify notifications. By following these steps, you will have a robust monitoring and alerting system for your AKS cluster, ensuring timely notifications for any pods that encounter issues.