Log monitoring

Reduce the storage footprint of log data by up to 65%. Elasticsearch logsdb index mode optimizes the ordering of data, eliminates duplication by reconstructing non-stored field values on the fly with synthetic _source, and improves compression with advanced algorithms and codecs — while using columnar storage within Elasticsearch for efficient log storage and retrieval. This enables observability and security teams to expand visibility and keep all data immediately accessible for analysis without exceeding their budget.

Turn unstructured data into a valuable asset by parsing, transforming, and enriching logs for use cases for all teams and every technology stack irrespective of source. Improve query performance of your structured log data with schema on write, or take advantage of the benefits of schema on read with runtime fields to extract, calculate, and transform fields at query time.

Eliminate blind spots by ingesting all telemetry data without missing critical data needed to solve problems. Uniform data modeling with the Elastic Common Schema (ECS) means you can normalize and centrally analyze all your data from diverse sources. Search across your data centers and cloud from a single console with powerful cross-cluster search.

Keep a pulse of all log files flowing in from your servers, virtual machines, and containers in a purpose-built and intuitive interface for viewing logs. Pin structured fields and explore related logs without leaving your current screen. Dive into your real-time streaming logs in Kibana for a console-like experience.

Identify common patterns, trends, and outliers to help isolate performance and availability problems. Automatic out-of-the-box machine learning is applied to every log message for quick detection and correlation. Resolve your application problems faster than ever.