Optimal Application Performance and Capacity Management via QoS for Apps
How to use the QoS for Apps technology in JXInsight/OpenCore to manage the performance of application by managing resource capacity and its reservation.
JXInsight/Opus is a highly efficient and scalable code level latency performance measurement solution with built-in measurement overhead management and automatic performance behavioral classification for rapidly identifying hotspots within Java applications.
The growing need for greater code and context instrumentation coverage coupled with intelligent measurement runtimes.
We are pleased to announce the immediate availability of JXInsight/OpenCore 6.3 which offers the first enterprise software call/resource usage accounting solution for the Java platform built on top of our uniquely scalable and powerful intelligent activity based costing…Read more
JXInsight/OpenCore 6.2 revolutionizes application performance management by offering unprecedented dynamic behavioral driven runtime adaption in the measurement of software activity execution and resource consumption. …Read more
JXInsight/OpenCore 6.1 extends our significant technology lead in the application performance management and software metering spaces with two ground breaking innovations, Record & Playback and QoS for Apps. …Read more
JXInsight/OpenCore 6.0 delivers the most scalable application performance management runtime on the market today with the lowest runtime overhead thats thousands of times more efficient than all other well known solutions tested. It scales not just in…Read more
How to use the QoS for Apps technology in JXInsight/OpenCore to manage the performance of application by managing resource capacity and its reservation.
Current and future general strategies in making application software perform faster.
Instructions to integrating JXInsight/Opus with Apache Hadoop for the purpose of performance hotspot analysis of MapReduce tasks executed by Hadoop.
Taking stock of recent enhancements made to the JXInsight/Opus application performance monitoring console.
A comparative benchmark analysis showing JXInsight/Opus for JRuby to be 1,000 times more efficient than NewRelic’s RPM solution for Ruby.
JXInsight/Opus for JRuby is a latency performance measurement solution that rapidly identifies hotspots within Ruby applications executed by the JRuby VM.
Three very useful Java/JVM serviceability features sorely missed from call execution stacks: unique frame ids, marking and tagging
Introducing a powerful and unique new namespace visualization in JXInsight/Opus 1.0.2.
Comparing JXInsight/Opus to other trial application performance monitoring products and getting the most out of it.
New partner in Turkey helping to deliver application performance testing, optimization, monitoring and management services.
Copyright © 2012 JINSPIRED BV. All rights reserved.