Motivation: Supporting 360º View of Monitored Systems at Any Scale Monitoring applications must deal with systems of very different sizes; from a simple web server to several large data centers. […]
Motivation: Support Any Historical Monitoring Data Depth with High Efficiency One of the main tasks of a monitoring tool is to collect historical data. Tracking historical data allows companies to […]
Motivation: Supporting High Data Ingestion Rates and Performing Frequent Aggregate Queries In real time analytics, a major requirement is to be able to ingest data at high rates, while at […]
Motivation: Supporting High Data Ingestion Rates and Efficient SQL queries The cost of monitoring solutions highly depends on the required footprint to ingest the monitoring data and to query these […]
In previous posts, we talked about LeanXcale disruptive features, like its linear scalability, online aggregations, and bi-dimensional partitioning. In this post, we want to explore how these features can help […]