Application performance management PREDICTIVE ANALYTICS REPORT

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ANALYSIS

What You Need to Know

  • Breakouts in the Application performance management predictive analytics are AppDynamics, Dynatrace, Data analytics. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are Nginx, Dynatrace, Data analytics.
  • By far most employment needs are found in the VMware, Performance metrics, Data analytics technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: VMware, Visual Studio, Data analytics.
  • VMware, NetBeans, Visual Studio lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Platform virtualization, Website monitoring, Data analytics.
  • These three technologies have the most active advertisers: Data analytics, Website monitoring, Platform virtualization.
  • In patents, these three technologies have the most coverage Middleware, VMware, Performance metrics.
  • The most publications are available for VMware, Docker (software), Visual Studio.
  • Instruction and courseware availability is highest in these technologies: VMware, Visual Studio, NetBeans.

The Application performance management report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Application performance management’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.

The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.

The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.

Predictive Analytics Scores:

000774 – AppDynamics
000619 – Dynatrace
000463 – Data analytics
000445 – Docker (software)
000383 – Code coverage
000378 – Microsoft Azure
000350 – Amazon Web Services
000304 – Performance metrics
000252 – Synthetic monitoring
000222 – Nginx
000113 – Java Development Kit
000107 – Platform virtualization
000099 – Xdebug
000093 – Port mirroring
000089 – VisualVM
000077 – JetBrains
000074 – Middleware
000070 – Java Collections Framework
000064 – Visual Studio
000047 – VMware
000043 – ZeroTurnaround
000042 – Website monitoring
000039 – Eclipse Memory Analyzer
000032 – Dbg
000031 – Micro Focus
000029 – Time (Unix)
000029 – Takipi
000025 – OpenMP
000024 – Embarcadero Delphi
000011 – NetBeans
000011 – Jvisualvm
000000 – VSXu
000000 – Shark (application)
000000 – Plumbr
000000 – Perf (Linux)
000000 – Paraver
000000 – Oracle Solaris Studio
000000 – LTTng
000000 – Intel Parallel Studio
000000 – Gperftools


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