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Log Analytics

Log Analytics is a cloud-based service for collecting, analyzing, and visualizing log data from various sources such as applications, servers, and infrastructure. It enables real-time monitoring, troubleshooting, and insights through querying and dashboarding capabilities. It is commonly used in IT operations, security, and DevOps to centralize logs and detect anomalies or performance issues.

Also known as: Log Analysis, Log Management, Centralized Logging, SIEM, Security Information and Event Management
🧊Why learn Log Analytics?

Developers should learn Log Analytics when working in cloud environments or distributed systems to monitor application health, debug errors, and ensure compliance. It is essential for use cases like incident response, performance optimization, and security auditing, particularly in microservices architectures where logs are scattered across multiple services.

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