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In this video, we continue exploring Azure Monitor's powerful features, focusing on Log Analytics and its role in monitoring and analyzing data in Azure. Learn how to create and manage Log Analytics workspaces, query data, and structure log queries for effective troubleshooting and monitoring. The following topics are covered: Using Log Analytics: Understand how Log Analytics is used to collect, analyze, and visualize log and performance data from Azure resources. Create and Manage Log Analytics Workspace: Learn how to set up and manage a Log Analytics workspace to store and query your monitoring data. Query Log Analytics Data: Discover how to use Kusto Query Language (KQL) to query Log Analytics data and extract meaningful insights. Structure Log Analytics Queries: Learn how to structure efficient Log Analytics queries to analyze logs and metrics from your Azure environment. Demo: Deploying Log Analytics Workspace: Watch a hands-on demonstration of how to deploy and configure a Log Analytics workspace in Azure for monitoring and analysis. Chapters & Timestamps: 00:00 Intro – Module intro, recap of Part 1 00:14 Objectives – What will be covered (users, workspace, queries) 00:32 Learning path – Part of AZ-104: Monitor and maintain resources 00:48 Log Analytics overview – Centralized log hub, data sources 01:20 Control vs. data plane logs – Explained with examples 01:49 Log Analytics workspace – Purpose, function, multi-workspace model 02:49 Kusto Query Language (KQL) – Use for querying and alerting 03:49 Export options – Power BI, Excel, third-party telemetry 04:47 Data structure – Tables (event, heartbeat, sign-in, etc.) 05:47 KQL syntax basics – Table-first model, key operators: project, where 06:56 Demo start – Creating a Log Analytics workspace 07:41 Workspace settings – Daily cap, data retention (free, Sentinel, paid) 08:32 Log query demo – Running basic KQL queries 09:01 Projecting attributes – Using project to display specific columns 09:23 Filtering – Using where clause 10:02 Summarize – Aggregating log data using summarize 10:25 Render – Visualizing data with bar/area/pie charts 11:10 KQL vs SQL – Query comparison and cheat sheet references 12:00 More KQL operators – distinct, summarize by, etc. 13:40 Time filtering – Adjusting query time range 14:23 Final data inspection – Caller info, activity types 15:18 Summary – Using cheat sheets, working with Splunk syntax 15:51 Wrap-up – KQL tutorials and resources By the end of this video, you'll have a solid understanding of how to use Log Analytics to enhance monitoring, troubleshoot issues, and gain deeper insights into your Azure environment, an essential skill for the AZ-104 certification. Want to learn more or connect with us? Visit our official website: https://www.cloud360.co Subscribe for more tutorials: https://www.youtube.com/@Cloud360_Solutions Connect with us on LinkedIn: https://www.linkedin.com/company/cloud360-solutions Like our page on Facebook: https://www.facebook.com/profile.php?id=61572859310143 Stay updated and join the conversation!
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