WATCH NOW: Quickly and easily stream your metric, event, log and topology data to and from all of your monitoring, management, analytics and visualization tools.
Quickly and easily stream your metric, event, log and topology data to and from all your monitoring, management, analytics and visualization tools.
For years, organizations have been focused on building a “single pane of glass” (SPOG) to aggregate all of their IT Ops data into one platform. However, a SPOG-oriented architecture cannot achieve the same level of performance as a many-to-many ecosystem, which enables analysis within domain-centric tools. As a result, many organizations are now embracing a best-of-breed approach to data analysis. These teams are realizing that it is more effective to have the right data being communicated between the right tools, in a manner that enables quick insight and action, than to have all data being communicated into a single platform.
The question becomes, “how can this be done?” Even though IT organizations now understand the benefits of moving to a many-to-many ecosystem, complexities around implementation can pose daunting hurdles. This process necessitates the creation and maintenance of dozens (and, in some cases, hundreds) of unique integrations between end-points, and requires the real-time streaming of data between domain-specific tools. Difficulties and barriers arise, and these scalable, many-to-many systems often end up doing nothing at all.
J9 has the answer: automation.
Building off our successful Accelerator technology, J9 has created OpStream: the industry’s first Enterprise-class monitoring connectivity solution. Built to scale and able to process thousands of messages per second, OpStream can quickly stream all event data to/from all monitoring, management, analytics and visualization tools and quickly exchange your IT Operations data across organizational boundaries.
OpStream’s distributed processing leverages your existing tool investments, eliminating the need to rip-and-replace within a vendor’s monolithic enterprise platform simply to share valuable IT data.
• 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