Description: Kusto is a big data analytics service that provides a fast and powerful query language for large datasets. Its design focuses on efficiency and scalability, allowing users to perform complex queries on massive volumes of information in real-time. Kusto uses a specific query language known as Kusto Query Language (KQL), which is intuitive and enables data analysts and developers to extract valuable insights from their data quickly and effectively. This service is particularly useful in environments where agile and in-depth analysis is required, such as application monitoring, cybersecurity, log analysis, and other data-driven decision-making scenarios. Kusto easily integrates with various cloud tools and services, making it a popular choice for companies looking to optimize their data analysis processes.
History: Kusto was developed by Microsoft and launched in 2010 as part of its Azure platform. It was originally designed to handle large volumes of data generated by monitoring services and log analysis. Over time, Kusto has evolved and integrated into various Microsoft products, such as Azure Data Explorer and Azure Monitor, expanding its functionality and reach in data analytics.
Uses: Kusto is primarily used for real-time analysis of large volumes of data. It is commonly employed in application monitoring, log analysis, anomaly detection, security analysis, and various other analytical processes. Additionally, it is used in the business intelligence domain to extract insights from data and improve decision-making.
Examples: A practical example of Kusto is its use in Azure Monitor, where it allows users to query performance data and application logs to identify issues and optimize performance. Another case is its application in cybersecurity, where it is used to analyze traffic patterns and detect potential threats.
