By Jay Patel It’s quite exciting when, as a Solutions Architect for an IT analytics vendor, you get invited to be in a Network Operating Center (NOC) for their launch of the iPhone 5, as I was privileged to be a part of. read "Behind the Scenes for the iPhone 5 Launch at a Large Wireless Carrier"

A survey of IT professionals in the US and UK reveals explosive growth in the volume and complexity of performance data being generated by application infrastructures. This deluge of data, sometimes referred to as ‘APM-generated Big Data,’ is becoming impossible to correlate and interpret with traditional monitoring tools. This increases the challenge for business owners and senior IT officials needing to assess overall health of critical applications and their impact on the business. read "APM-generated Big Data Boom !"

By Neil MacGowan, Technical Director There has long been a debate over whether “Science Fiction is the precursor to Science Fact”, and there is much evidence to suggest that many of the things dreamt up in the imaginations of authors and screenwriters have indeed become reality in the fullness of time. read "Do you need Mr. Spock to run your Enterprise?"

By Graham Gillen Attending the Gartner Infrastructure and Operations Management show a few weeks ago, I was very pleasantly surprised to see how prominent “Behavior Learning Engines” or “Behavior Learning Technology” was – mentioned in at least 5 sessions on IT Operations and/or Application Performance Monitoring. read "Getting to 5 on the Gartner ITScore Maturity Model with Behavior Learning Engines"

By Graham Gillen Next to reliable service and maximum uptime, the greatest value an IT organization can provide an enterprise is real-time visibility into the current state of the business and the impact, if any, of IT on the business’s key performance indicators (KPIs). At any moment of the day, a line of business manager, IT executive or other decision-maker needs the ability to answer questions such as “how are we doing right now,” “are all our locations, channels and services performing as needed” and “if there’s a problem, is it somewhere in IT.” read "The Real-Time Management Cockpit - Helping Executives See How IT Performance Impacts the Business"

From a new Gartner blog by analyst Jim Sinur …… “This organization had billions of metrics to monitor that crossed multiple technology providers, systems and business units. This presented a challenge for building a baseline of history, projecting and analyzing problems and suggesting proper reactions”. Find out how they did it here read "Gartner blog examining APM-generated Big Data"

Much has been made about the IPO of Splunk and how Splunk was both smart and fortuitous in its implementation and positioning of a new way to essentially analyze log data for IT troubleshooting use cases.　 But what other use cases are there to consider, even those complementary to Splunk’s primary use case? read "IT Operations Analytics and Splunk – Is all the gold found only in mining IT logs?"

As any IT administrator worth his salt knows, the challenge of application performance monitoring has increased exponentially. One of the biggest culprits is the inability to monitor and correlate complex Java application data. Monitoring the behavior of Java applications is a challenging at best. Correlating this data with other IT performance and business metric data is almost impossible because of the sheer amount of data and the existence of silos in the enterprise that inhibit data sharing. Today, conventional application performance monitoring approaches typically fall into two approaches: read "The Challenge of Monitoring Complex Java Applications"

In a recent blog entry, Gartner analyst Jim Sinur looks at the role of Behavior Learning technology in correlating business activity monitoring (BAM) and applications performance monitoring (APM) metrics. read "Gartner Weighs In On Value of Correlating BAM and APM Metrics with Behavior Learning Technology"

In a recent APMdigest, Netuitive CEO, Nicola Sanna, examined the transformation taking place in IT where APM, BSM, and predictive analytic software platforms are coming together in large scale enterprise APM solutions. read "Big IT Data = Big APM Challenge"