May 1, 2024
Updated July 11, 2025
15 minute read
Log Analytics is a data analytics service that helps you analyze and visualize your application logs. With Log Analytics, you can get insights into your application performance, troubleshoot issues, and meet compliance requirements.
Why Learn Log Analytics?
There are many reasons why you might want to learn Log Analytics. Some of the benefits of learning Log Analytics include:
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Find a path to becoming a Log Analytics. Learn more at:
OpenCourser.com/topic/lx4gtt/log
Reading list
We've selected 21 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Log Analytics.
Is highly relevant as it focuses specifically on Kusto Query Language (KQL), which is integral to log analytics on Microsoft Azure, Azure Monitor, and Microsoft Sentinel. It covers the fundamentals of KQL, writing effective queries, and using KQL for security investigations and threat hunting. This must-read for anyone working within the Microsoft ecosystem.
Is directly aligned with one of the mentioned online courses. It provides an in-depth guide to implementing and operating Microsoft Sentinel, a cloud-native SIEM solution. It covers integrating data, using KQL for analysis, and managing security incidents, making it essential for those focusing on security log analytics in Azure.
Provides a comprehensive guide to Log Analytics, covering topics such as data collection, analysis, and visualization.
Delves into advanced techniques for analyzing computer log data specifically for identifying adversarial actions. It focuses on smart ways to leverage log data for security analysis, making it highly relevant for those interested in the cutting-edge of security-focused log analytics.
Focusing on the implementation of SIEM technologies, this book is highly relevant to log analytics in a security context. It explains how to deploy SIEM for monitoring, threat identification, and incident response. While it covers SIEM products from different vendors, the core principles are directly applicable to leveraging log data for security purposes.
This guide covers Microsoft Azure's monitoring and management services comprehensively. Given that Azure Monitor and Log Analytics are key components of Azure's monitoring story, this book is highly relevant for understanding how log analytics fits into the broader Azure management picture. It's a valuable resource for Azure professionals.
Focuses on the concept of observability in software engineering, which builds upon monitoring and logging. It's highly relevant for understanding contemporary approaches to system analysis and troubleshooting using telemetry data, including logs. It's a valuable resource for professionals aiming for production excellence.
Provides a comprehensive introduction to the fundamental concepts of logging and log management. It covers the basics of log data, sources, storage technologies, and simple analysis techniques. It is an excellent resource for gaining a broad understanding of the field and is suitable for those new to log analytics, including system administrators and junior security engineers.
Focuses on using data analysis techniques for network security, which heavily involves the analysis of log data. It covers collecting and organizing network traffic datasets and various analysis tools and scenarios. This book is particularly useful for those interested in the security applications of log analytics.
Provides a beginner-friendly introduction to Log Analytics, covering the basics of data collection, analysis, and visualization.
Provides a guide to using Log Analytics for compliance purposes, such as ensuring that your organization meets regulatory requirements.
Provides a comprehensive guide to implementing DevOps practices in cloud-native environments, with a focus on Kubernetes. It covers critical topics such as security, monitoring, and continuous deployment, all of which rely heavily on effective log analytics. It's particularly valuable for professionals in cloud and DevOps roles.
Provides a hands-on introduction to modern application and infrastructure monitoring, with a dedicated chapter on logs and logging, including the ELK stack. It is valuable for understanding how log analytics fits into a broader monitoring strategy and offers practical insights for both developers and sysadmins.
Offers a thorough overview of cloud security concepts, technologies, and practices. It covers critical topics such as data security, access control, and compliance in cloud environments, where log analysis plays a vital role in detecting and responding to security incidents.
This handbook provides a comprehensive reference to securing cloud services across Azure, AWS, and GCP. It includes sections on monitoring and auditing cloud environments, which are directly relevant to log analytics in a cloud security context. It's a useful reference for understanding cloud-agnostic security principles tied to logging and monitoring.
Focuses on the essential practices of monitoring and alerting, which are direct applications of log analytics. It provides strategies for setting up effective monitoring systems and configuring meaningful alerts based on system data, including logs.
Offers a practical, vendor-neutral approach to designing and implementing effective monitoring, covering topics like metrics, alerting, and structured logs. It provides foundational knowledge in monitoring principles that are directly applicable to log analytics, making it a useful resource for anyone looking to improve their monitoring practices.
Focuses on optimizing logging using open-source tools like Fluentd and Fluent Bit, particularly in cloud-native environments like Kubernetes and Docker. It provides practical guidance on log processing, management, and best practices, offering a valuable perspective beyond vendor-specific solutions.
This foundational book on DevOps principles emphasizes the importance of feedback loops, which are often informed by monitoring and logging. It provides a broader context for why log analytics is crucial in achieving agility, reliability, and security in modern IT organizations.
While not solely focused on log analytics, this foundational SRE book from Google includes valuable chapters on monitoring distributed systems, alerting, and troubleshooting. These concepts are intrinsically linked to effective log analysis in large-scale production environments. It provides a high-level understanding of the importance of logging within an SRE context.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/lx4gtt/log
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