Azure's fast and highly scalable data analytics service optimized for log and telemetry data, also known as Kusto. Like having a high-speed search engine specifically designed for finding patterns in massive amounts of time-series and log data.
DevOps teams use Azure Data Explorer (Kusto) to analyze application logs, identify performance bottlenecks, and troubleshoot issues across millions of events per second.
Azure Data Explorer (Kusto) is a purpose-built, high-ingest analytics engine for log/telemetry and time-series exploration using KQL. On AWS, OpenSearch is commonly used for log search and dashboards, though it is search-index based rather than Kusto’s columnar analytics engine. On GCP, log analytics is typically done via Cloud Logging’s Log Analytics features and/or exporting logs to BigQuery for large-scale querying. On OCI, Logging Analytics provides centralized log ingestion, parsing, search, and analytics.