Log Analytics Queries

Log Analytics Queries: free step-by-step lesson with examples, common mistakes, and interview tips — part of Microsoft Azure Tutorial on Toolliyo Academy.

8 min read Updated 7/20/2026

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Microsoft Azure Tutorial · Lesson 63 of 120

Log Analytics Queries

Foundations & App Service ✓ → Containers & AKS ✓ → DevOps & Security → Projects

DevOps & Security · 3 — Operate · ~10 min · Monitoring

What is this?

Log Analytics Queries is observability: metrics, logs, traces, alerts.

Why should you care?

You cannot fix what you cannot see in production.

See it live — copy this example

Use an Azure lab/free subscription. Prefer Azure CLI or Portal. Delete idle App Service plans, SQL DBs, and AKS clusters when practice is done.

# Log Analytics Queries
# Portal: Monitor / Application Insights
# CLI idea: query failures and latency

What happened?

Pick one signal (errors or latency) and define an alert threshold.
Follow the steps below — typing the code yourself is the fastest way to learn.

Practice next

Run the CLI/portal steps in a lab subscription.
Write the resource names you used.
Note estimated monthly cost for the SKU.
Repeat in a second region (conceptually).
Add the resource to a simple architecture diagram.

Remember

You can explain Log Analytics Queries simply. You practiced one Azure action. You know a cost or security risk.

Log Analytics Queries in CloudVerse

Your team applies log analytics queries while building on Azure.

Outcome: A concrete portal/CLI next step exists.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Mid PDF Detailed

After deployment, Azure Pipelines can report live data to App Insights (like response time, failed requests, or exceptions). Example (YAML): - task: AzureCLI@2 inputs: azureSubscription: 'MyServiceConnection' scriptType: 'bash' scriptLocation: 'inlineScript' inlineScript: | echo "Checking App Insights availability..." az monitor metrics list --resource myapp --metric requests/count Example scenario: After a new deployment, your team monitors App Insights dashboards — noticing that response times increased by 20%. They can quickly roll back or optimize performance before users notice. ✅ Pro Tip: Combine these tools for full visibility: ● Azure Pipelines logs → Diagnose build/deployment failures. ● Azure Monitor + App Insights → Track live app performance. ● Power BI / Analytics → Measure DevOps effectiveness. ● Dashboards → Share live health status with your whole team. Follow: Infrastructure as Code (IaC) & Automation 1⃣ How do you provision infrastructure in Azure using ARM, Bicep, or Terraform via Azure DevOps?

You can automate infrastructure deployment directly from Azure Pipelines using ARM templates, Bicep files, or Terraform scripts. Each option defines your infrastructure as code — meaning servers, networks, and resources…

Mid PDF Detailed

If it’s a deployment issue, check release logs, environment logs, and service connection permissions. Example scenario: If your deployment fails with an “Authentication error,” you might find in logs that the Azure service connection has expired credentials. Once renewed, re-running the pipeline deploys successfully. Extra tip: You can also use pipeline variables to print debug info, like: variables: system.debug: true 3⃣ What kind of analytics or reports can you generate in Azure DevOps?

Azure DevOps includes built-in Analytics and Reporting tools to help track performance, quality, and productivity. Common reports: Pipeline Analytics: Success/failure trends, duration, frequency of builds. Test Analytics…

Mid PDF Detailed

What are pipeline templates and how are they used? Answer: Templates let you reuse pipeline steps across projects — great for standardization. Example: You can create a reusable file: 📄 .azure-pipelines/build-template.yml steps: - script: dotnet restore - script: dotnet build Then in your main pipeline: extends: template: .azure-pipelines/build-template.yml This keeps your YAML DRY (Don’t Repeat Yourself) and consistent.

Mid PDF Detailed

Process Incoming Orders (Queue?

Trigger) Scenario: When a customer places an order, the backend pushes a message to Azure Storage Queue. Azure Function processes it asynchronously. Trigger: QueueTrigger Use Case: Payment processing, inventory updates,…

Mid PDF Detailed

Restore packages as usual:?

dotnet restore What interviewers expect A clear definition tied to DevOps in Azure DevOps projects Trade-offs (performance, maintainability, security, cost) When you would and would not use it in production Real-world ex…

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