Monitoring and Analytics with Azure Monitor

Andrew Posted on 7:10 am

Monitoring and Analytics with Azure Monitor

How to Use Azure Monitor to Gain Insights and Ensure Application Health

In modern cloud environments, maintaining the health and performance of applications is critical. Azure Monitor provides a full-stack monitoring solution that enables organizations to track metrics, diagnose issues, and gain deep insights into their applications and infrastructure. Whether monitoring virtual machines (VMs), Kubernetes clusters, databases, or application services, Azure Monitor ensures optimal performance with proactive alerts, AI-powered analytics, and advanced telemetry capabilities.

This article explores how to configure and use Azure Monitor for real-time observability, troubleshooting, and optimization. While my passion keeps me more on the Microsoft Sentinel side, utilizing the advanced analysis capabilities in analytics log workspace datasets is a wonderful and powerful thing to use. Strictly thinking about monitoring and security logs, monitoring data is very good source to have available for more complex threat identification, hunting, and investigations.

Ok, let’s dive in!

Understanding Azure Monitor: Key Components

Azure Monitor is built around a multi-layered monitoring architecture that provides end-to-end visibility across Azure workloads. Here are the core components:

1. Data Collection Sources

Azure Monitor gathers data from multiple sources:

  • Azure Resources (VMs, App Services, Azure Kubernetes Service (AKS))
  • Applications (APM for distributed tracing and performance monitoring)
  • Operating Systems (Windows, Linux telemetry)
  • Custom Logs & Telemetry (Syslog, Application Insights, custom diagnostic data)

📡 Best Practice: Configure Azure Diagnostic settings to forward logs efficiently. This can be done using Azure Policy at Management Group level to ensure compliance in your cloud tenant.

2. Metrics & Performance Insights

Azure Monitor collects metrics in near real-time to analyze resource performance:

  • CPU, Memory, Disk Usage (Compute efficiency monitoring)
  • Network Throughput & Latency (Traffic anomalies, bottleneck detection)
  • Database Query Performance (Slow query detection, Index optimization)

📈 Advanced Analytics: Azure Metrics Explorer allows custom visualizations.

3. Logs & Telemetry with Azure Log Analytics

Azure Monitor integrates Log Analytics, enabling advanced querying via Kusto Query Language (KQL).

💡 Key Features:

  • Centralized Log Management (Aggregation across multiple resources)
  • Custom Queries & Dashboards (Deep troubleshooting insights)
  • Anomaly Detection with AI-powered Insights (Azure AI integration for proactive monitoring)

📝 Example KQL Query (Detect high CPU usage over 85%):

Perf
| where CounterName == "CPU Usage"
| where CounterValue > 85
| order by TimeGenerated desc

📝 Example KQL Query (Identify Brute Force Attacks on Entra ID and Virtual Machines)

This query cross-references Entra ID sign-in logs with VM Security logs to identify repeated failed login attempts across multiple resources—a key indicator of brute-force activity.

let AD_failed_logins = SigninLogs
| where ResultType == "50126" or ResultType == "50074" // Failed authentication codes
| summarize FailedAttempts = count() by UserPrincipalName, IPAddress, TimeGenerated;

let VM_failed_logins = SecurityEvent
| where EventID == 4625 // Windows failed login event
| summarize FailedAttempts = count() by Account, SourceIP, TimeGenerated;

AD_failed_logins
| join kind=inner (
    VM_failed_logins
) on IPAddress
| where AD_failed_logins.FailedAttempts > 10 and VM_failed_logins.FailedAttempts > 5
| project UserPrincipalName, Account, IPAddress, FailedAttempts, TimeGenerated

🔔 Recommended Action on Alerts:

  • Implement Conditional Access policies in Azure AD to enforce stricter authentication.
  • Activate Defender for Identity to detect unusual login patterns.
  • Auto-block suspicious IPs using Azure Firewall rules or Sentinel playbooks.

4. Proactive Alerting & Automated Actions

Azure Monitor alerting system allows real-time notifications and automated responses to performance anomalies.

🚀 Best Practices:

  • Set up Threshold-based Alerts (e.g., high CPU usage, network congestion).
  • Use Action Groups to trigger remediation scripts, email notifications, or webhook integrations.
    • You’ll know this one if you’ve ever done Azure Cost Management Budgets!
  • Configure AI-based anomaly detection using Azure Monitor Smart Alerts.

🔔 Example Alert: Receive an email when an App Service response time exceeds 2 seconds.

Deep Dive: Using Azure Monitor in Real-World Scenarios

1. Application Performance Monitoring with Application Insights

Azure Monitor Application Insights provides distributed tracing, error logging, and request performance monitoring.

📊 Key Capabilities:

  • Track end-to-end request flows (Detect slow microservices)
  • Analyze dependency bottlenecks (Database call efficiency)
  • Monitor exception trends (Error rate analysis)

🎯 Use Case: Find slow database queries impacting application latency.

2. Monitoring AKS (Azure Kubernetes Service)

Azure Monitor integrates with Container Insights to track Kubernetes workloads.

⚡ Critical Metrics:

  • Pod Resource Utilization (CPU, Memory, Storage)
  • Node Health & Scaling Recommendations
  • Container Crash Analysis (Exit codes, failure diagnostics)

🔹 Best Practice: Enable Prometheus Metrics Scraping for custom Kubernetes analytics.

3. Security Monitoring with Microsoft Sentinel Integration

Azure Monitor works seamlessly with Microsoft Sentinel, providing Security Information & Event Management (SIEM) capabilities.

🔍 Security Insights:

  • Detect failed login attempts & brute force attacks
  • Monitor Azure AD sign-ins & access anomalies
  • Track endpoint vulnerabilities & patch compliance

💡 Actionable Tip: Configure Threat Intelligence Feeds for enriched security analytics.

Optimizing Azure Monitor Performance

🚀 Top Best Practices for Efficient Monitoring:

  • Right-Size Log Retention: Avoid unnecessary log storage costs.
  • Use Data Sampling: Reduce telemetry noise by filtering irrelevant logs.
  • Define Clear KPIs: Align monitoring with business objectives.
  • Automate Remediation: Leverage Azure Functions & Logic Apps to auto-resolve incidents.

🔧 Recommended Tooling:

  • ✔ Azure Monitor Workbooks – Custom dashboards for insights
  • ✔ Azure Cost Management – Optimize monitoring-related expenses

Conclusion

Azure Monitor delivers intelligent, full-stack observability for cloud-native applications, VMs, Kubernetes clusters, and security logs. With real-time insights, AI-based anomaly detection, and automated remediation, organizations can ensure high availability, security, and optimal performance.

Cloud-native solutions like Azure Monitor and Microsoft Sentinel integrate very well with your existing Azure workloads and resources. This means less time and complexity to advance your operations!

Ready to elevate your monitoring strategy?
Start integrating Azure Monitor today and unlock the full potential of cloud analytics.