A User Guide for OpenSearch Dashboards

Log management has evolved significantly, especially with the transition from the open-sourced ELK Stack to AWS's OpenSearch, following Elastic's decision to close source its toolset. OpenSearch Dashboards, which closely resembles Kibana, serves as an integral tool for querying and visualizing log data. Effective log analysis requires proper log parsing, often facilitated by tools like FluentBit or services like Logz.io's parsing-as-a-service, which transforms raw log data into searchable fields. Once parsed, logs can be queried using OpenSearch Dashboards, which allows for building complex queries with the Dashboard Query Language (DQL) and visualizing data trends through various graphical representations. Logz.io enhances these capabilities by integrating full observability, alerting, and AI-driven insights, offering a comprehensive SaaS platform that combines log, metric, and trace analytics to streamline the troubleshooting process and improve mean time to resolution (MTTR). As businesses grow and log volumes increase, these tools are critical for maintaining efficient log management and analysis.