Azure LOG ANALYTICS Inside-Out

Course Curriculum

Chapter 1: Introduction

Lecture 1: For BEST experience – Important Tips

Lecture 2: Introduction

Lecture 3: The one Azure service that could set your career apart!!

Lecture 4: What are we going to learn

Lecture 5: What is Log Analytics

Lecture 6: Firewall Requirements

Chapter 2: Setting up the Log Analytics workspace

Lecture 1: Create a Log Analytics workspace in the Azure portal

Lecture 2: A Peek inside the new workspace (Overview)

Lecture 3: Connecting Data Sources to the workspace

Chapter 3: Send VM data to workspace

Lecture 1: Using VM extensions to connect to Log Analytics

Lecture 2: Connect VM to workspace using agent on Windows

Lecture 3: Configure agent to send data to multiple workspaces [Windows]

Lecture 4: Connect VM to workspace using agent on Linux

Lecture 5: Verify VMs are connected and sending data to workspace

Lecture 6: Supported OS for Windows Agent

Lecture 7: Supported OS for Linux Agent

Chapter 4: Starting with your own Queries

Lecture 1: Free Demo Environment

Lecture 2: Running your first query and view collected data

Lecture 3: Collecting Perf and Events data

Lecture 4: Query Window Settings

Lecture 5: Save Queries

Lecture 6: Load Saved Queries

Lecture 7: Export Query Results

Chapter 5: More on Queries

Lecture 1: Basic Queries

Lecture 2: Where

Lecture 3: Logical Operators

Lecture 4: equals and notequals

Lecture 5: has operators

Lecture 6: Contains

Lecture 7: startswith and endswith

Lecture 8: in and has_any

Lecture 9: TimeGenerated

Lecture 10: summarize

Lecture 11: distinct and count operators

Lecture 12: Sort and Top

Lecture 13: Picking Columns to display (project, project-away)

Lecture 14: extend operator (bonus: iff, round)

Lecture 15: Computer Groups

Lecture 16: Setting Query Scope

Lecture 17: String Comparison Operators

Lecture 18: Arithmetic Operators

Lecture 19: More Practice

Lecture 20: Other Useful operators in Azure Monitor log queries

Chapter 6: More Datasources

Lecture 1: Connect Storage Account

Lecture 2: Collecting Syslog data

Chapter 7: Monitoring Solutions

Lecture 1: What are Monitoring Solutions

Lecture 2: List Available Solutions

Lecture 3: Install Solutions

Lecture 4: Review Agent Health Solution

Lecture 5: Delete a Solution

Lecture 6: More practice: Install Solutions another way

Lecture 7: Solution Targeting

Chapter 8: Service Map

Lecture 1: Service Map Introduction

Lecture 2: What is Service Map?

Lecture 3: Creating the Service Map Solution

Lecture 4: Installing the Dependency Agent

Lecture 5: Accessing Service Map Solution

Lecture 6: Service Map Basic UI

Lecture 7: Set Time Range

Lecture 8: Status Badges and Color Codes

Lecture 9: Machine Groups

Lecture 10: Process Filter

Lecture 11: Finding Failed Connections

Lecture 12: A Humble Request

Lecture 13: Changing Focus Machine

Lecture 14: Self Links

Lecture 15: Machine Summary

Lecture 16: Process Summary

Lecture 17: Integration with other solutions

Lecture 18: Conclusion

Chapter 9: Change Tracking

Lecture 1: Enabling Change Tracking Part 1

Lecture 2: Enabling Change Tracking Part 2

Lecture 3: Exploring Change Tracking Solution

Lecture 4: Change Tracking Options

Lecture 5: Change a tracked Linux File

Lecture 6: Test Linux File Change Tracking

Lecture 7: Inventory

Lecture 8: Manage Machines onboarded to Solutions

Chapter 10: Alerts

Lecture 1: Create Alerts

Lecture 2: Manage Alerts & A Challenge

Chapter 11: Custom Logs and Custom Fields

Lecture 1: Custom Fields

Lecture 2: Custom Logs

Chapter 12: Pricing

Lecture 1: View Usage and Cost

Lecture 2: Pricing Calculator

Chapter 13: Visualization