Apr 30
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š AZ-700 Lab Walkthrough | Monitor a Load Balancer Resource Using Azure Monitor | Log Analytics, Metrics, Diagnostics & Resource Health | Complete Hands-On Guide 2026 In this comprehensive lab walkthrough, you'll step into the role of a Network Engineer at Contoso Ltd and build a complete internal load balancer environment from scratch ā then layer on full enterprise-grade monitoring using Azure Monitor Insights, Log Analytics Workspace, Functional Dependency View, Detailed Metrics, Resource Health dashboards, and Diagnostic Settings! This lab is a two-in-one powerhouse ā covering both Azure Load Balancer architecture AND Azure Monitor observability, making it one of the broadest and most exam-relevant labs in the entire AZ-700 series! ā±ļø Estimated Lab Time: 60-75 Minutes āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā š What You'll Learn in This Lab: āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā āļø Task 1 ā Create the Virtual Network āļø Task 2 ā Create the Internal Load Balancer āļø Task 3 ā Create a Backend Pool āļø Task 4 ā Create a Health Probe āļø Task 5 ā Create a Load Balancer Rule āļø Task 6 ā Create Backend Servers (Virtual Machines) āļø Task 7 ā Add VMs to the Backend Pool āļø Task 8 ā Test the Load Balancer (Live Traffic Test!) āļø Task 9 ā Create a Log Analytics Workspace āļø Task 10 ā Use Functional Dependency View in Azure Monitor āļø Task 11 ā View Detailed Load Balancer Metrics āļø Task 12 ā View Resource Health Information āļø Task 13 ā Configure Diagnostic Settings to Send Metrics to Log Analytics š„ By the end of this lab, you'll have a fully operational internal load balancer with end-to-end Azure Monitor observability configured ā including live metrics, dependency mapping, resource health tracking, and diagnostic log streaming to Log Analytics Workspace! āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā š RESOURCES MENTIONED IN THIS VIDEO: āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā š Microsoft Learn Path: https://learn.microsoft.com/en-us/training/paths/design-implement-microsoft-azure-networking-solutions-az-700/ š GitHub Lab Instructions: https://microsoftlearning.github.io/AZ-700-Designing-and-Implementing-Microsoft-Azure-Networking-Solutions/ āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā š CHAPTERS: āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā 00:00 ā Introduction & Lab Overview 06:57 ā Hands-on Labs āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā š WHY THIS LAB IS EXAM-CRITICAL: āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā” Azure Load Balancer is a Layer 4 (TCP/UDP) traffic distribution service ā” Internal Load Balancer uses a private frontend IP ā no internet exposure ā” Health Probes continuously monitor backend VM availability for smart routing ā” Azure Monitor Insights provides a unified observability layer for all network resources ā” Functional Dependency View visually maps all connected resources to the load balancer ā” Diagnostic Settings stream platform metrics & logs to Log Analytics, Storage or Event Hub ā” Resource Health distinguishes between Azure platform issues vs your configuration issues ā” Log Analytics enables KQL-based querying of load balancer metrics and diagnostics āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā š§ AZ-700 EXAM TIPS COVERED: āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā š Internal vs Public Load Balancer ā frontend IP, use cases & key differences š Load Balancer SKUs: Basic vs Standard ā feature comparison for the exam š Health Probe types: HTTP, HTTPS, TCP ā when to use each and interval settings š Load Balancer Rule components: frontend IP, backend pool, probe, port & session persistence š How Functional Dependency View maps VNet, NICs, NSGs & VMs to the load balancer š Key metrics to monitor: Data Path Availability, Health Probe Status, Packet Count š Diagnostic Settings destinations: Log Analytics Workspace, Storage Account, Event Hub š Resource Health vs Service Health vs Azure Monitor ā differences & use cases š How KQL queries in Log Analytics surface load balancer performance insights š Why Standard Load Balancer requires explicit NSG rules for backend traffic flow āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā šÆ WHO IS THIS FOR? āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā AZ-700 Exam Candidates ā Azure Network Engineers designing and monitoring load balancing solutions ā Cloud Architects implementing observable, production-grade Azure environments ā IT Operations Teams responsible for Azure network performance monitoring ā DevOps Engineers integrating Azure Monitor into network infrastructure pipelines ā Site Reliability Engineers building Azure observability and alerting solutions āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā š SUBSCRIBE & STAY UPDATED: āāāāāāāāāāāāāāāāāāāāāāāāāāāāāā š Found this helpful? LIKE, SHARE & SUBSCRIBE for the complete AZ-700 Lab series! š Hit the Bell icon so you never miss a new lab video! #AZ700 #AzureLoadBalancer #AzureMonitor #LogAnalytics #AzureNetworking #AZ700Lab