App of the Month: OpStream

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Since its foundation a decade ago, J9 Technologies has focused on providing IT Operations Management (ITOM) and Application Performance Management (APM) integration to achieve a “single pane of glass”.

It has made sense. Companies wanted to be able to consolidate their data into one screen so that management tools can be effective and controlled. The J9 Accelerator technology was a first generation systems integration tool that allowed their enterprise customers to combine their events, metrics and topology data into a Manager of Managers (MOM) tool.

But the paradigm has shifted.

Companies still have the same input programs from Dynatrace, AppDynamics, Aternity, ExtraHop, Microsoft and IBM, but instead of putting all of the data into one single tool, it has become about “getting the right data into the right tools to deliver greater value to the enterprise”. Enterprises demand the best analysis and visualization as well. The shift isn’t only about the data going in, but the value of the data coming out.

Enter J9’s OpStream.

What is OpStream?

OpStream is the first enterprise-class monitoring integration platform created to organize IT Ops data. It’s at the heart, a multi-directional connector that outputs data in real-time.


OpStream streams all data to, and from, all monitoring, management, analytics and visualization tools across all boundaries. It’s automated, and scalable.


In an ecosystem comprised of only 20 different domain tools and five managers, this means up to 200 integrations, each with different protocols. With 40 domain managers and 10 managers, visualization systems and analytic tools the matrix grows to approach 1000 separate integrations. The sheer volume is challenging – if even possible – to maintain for any IT Ops team.[1]

The question of creating potentially dozens of integrations between siloed ITOM tools is mind blowing. Adding additional Business Intelligence (BI) tools to that is out of the question.


  • Communicate correlated events to a MOM
  • Send metrics to predictive analytics platform
  • Build topology into a CMDB and enable synchronization between CMDB systems
  • Provide all end-user metrics/behavior analytics to a data lake for business analytics
  • Ensure incidents efficiently flow from events, to ticketing, to resolution
  • Establish automation points along the incident resolution path to knock out low-level tasks which otherwise require human intervention


For more information: download the data sheet or watch the webinar.


[1] Al Wasserberger, Democratize your IT Ops data with OpStream,, March 2, 2017.


Feature image credit: Jennifer Evans

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