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Published April 5, 2021

Customer experience, also known as CX, is a hot topic today.  Observability and AIOps (machine learning and artificial intelligence for IT operations), can be used for determining and linking transaction performance to your business performance, in real-time.  That makes them hot topics as well.  I recently spoke with two experts about the intersection of these topics to discuss what leading companies are doing (and evaluating) in these areas, and how they’re doing it.  The discussion includes these areas:

  • AIOps
  • CX (Customer Experience)
  • Observability
  • Advanced Troubleshooting and RCA (root cause analysis)
  • Next Generation Monitoring / APM
  • End-to-end Message and Transaction Tracking
  • IBM MQ, Kafka, and challenges with monitoring and management of multi-middleware environments
  • Build vs.
Leigh Reed
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Published February 8, 2021

Nastel Technologies, a premier global provider of AIOps solutions covering end-to-end Transaction Tracking and Application Performance Management (APM) for mission-critical applications in mixed Cloud environments, has announced immediate availability of the new release for their Nastel XRay mobile app.

Nastel releases updated mobile apps for Nastel XRay
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Published September 10, 2020

Messaging Middleware - Large enterprises generally expend about ¼ of their entire IT budget on the systems and processes to connect the disparate systems that make up complex application stacks.

When you look at how business processes are architected, they nearly always make use of a myriad of different infrastructure elements, platforms and applications, and these are all interconnected using an array of messaging middleware systems that ensure that every single request is processed even when the capacity and performance of some components causes requests to be stacked in queues.

The secret to exploiting your investment in messaging middleware!
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Published August 7, 2020

Cloud - Business applications have continued to become more complex, and the tools we all rely on to monitor performance have not always kept up.

The basic model that APM relies on, starts by capturing performance metrics and then using the knowledge developers and administrators have about the how these metrics can be analyzed to describe the performance of specific business processes.

Performance Monitoring in the Cloud Age