jKool Introduces Use of Logs and Metrics for Real-time Visualization of Java Applications
FREMONT, CA: jKool, the open source solution for analyzing Big Data in real time, announces operational intelligence to analyze and aggregate logs and metrics, track and trace Java transactions and provides real-time visualization with extreme scalability. Operational Intelligence is a simple and cost effective Log and Metric Analytics for Java applications.
The key features of Operational Intelligence include: visualizing the trends, patterns and anomalies on a web-based, mobile-ready dashboard; detects anomalies in transaction flow and performance; generates user subscriptions and queries using a high-level English-like language; captures user actions over time; and aggregation and summarization of data at a given time.
jKool’s visualization includes display of behavior, performance, location and topology on a real-time dashboard. By subscribing to topics of interest, users can get updates and can ask questions in response with the use of an easy-to-use, English-like query language (jKQL).Logs and metrics can be streamed to jKool where they are analyzed in real-time in order to spot patterns, trends and misbehavior in applications.
Real-time updates from infrastructure systems will provide users with proactive detection of performance, availability and capacity issues in their applications before they impact the business. jKool’s instant insight reduces risk and can immediately improve the productivity of the DevOps and application support teams.
"jKool’s real-time visualization and analytics can provide instant insight into operational, machine data in real-time improving productivity, reducing risk and increasing application quality. Today, we are excited to announce our support of a SaaS operational intelligence solution, providing real-time visualization of Java logs, system logs, transactions, performance, availability and other user-defined metrics and trends,” says Charley Rich, vice president of product management, jKool.