Lucidworks Silk Analytics
Adding Apache Solr to the wildly popular Logstash and Kibana gives you a powerful analytics tool to analyze and visualize your log data. All with high scalability, maximum flexibility, and no data loss.
Silk provides a rich visual interface for users to search, inspect, and visualize event and log data. Create, personalize, and share dashboards and reports across your organization, gaining quick insight into network health, application availability, and data security.
Silk allows non-technical users to easily search and analyze all of the structured and non-structured data indexed in Solr. Real-time insights and trends mean on-the-fly decision making using the most accurate and up-to-date data.
Silk analyzes your app's uptime and usage to quickly identify and escalate issues with customizable dashboard views of your live data. Analyze system status for adherence to data compliance policies and SLAs. Identify trends in query behavior to guide future app development and additional features.
Silk can be used as an enterprise grade solution for storing, analyzing and managing billions of log messages from across a variety of servers, applications, and devices. Whether your data is sitting in log files on disk, coming across the network, or stored in a Hadoop cluster, Silk provides a variety of ways to ingest your data. In addition to time series data, Silk supports the visualization and inspection of non-temporal data including documents, emails, database tables and more.