Published February 25, 2022
Artificial Intelligence (AI, also called Machine Learning) is certainly making its way in the world. Technologies such as Voice Recognition, Face Recognition, Predictive Analytics, Self-driving cars, and Robotics are now becoming embedded into our society. With the advent of big-data, these technologies can become more and more powerful and more and more a part of our everyday lives.
Published November 9, 2021
Complex enterprises have an integration infrastructure (i2) layer that connects technologies and applications across cloud, data center, virtualized systems, mainframe, edge computing, etc.
Integration Infrastructure Management (i2M) is the “management” of the i2 layer and includes:
The i2 layer includes a core middleware application (such as IBM MQ) along with many other “integration” technologies, such as MFT (managed file transfer), IoT, REST APIs, DataPower Gateway, and other messaging technologies (i.e., Kafka, TIBCO EMS, IBM ACE, IBM Integration Bus (IIB) and more).
Published September 21, 2021
What do you most want to learn about to advance your career or help your organization excel and gain a competitive advantage in 2022?
TIP #1: What is Trending with Your Peers?
Published September 1, 2021
By now, you have probably seen the announcement for IBM MQ 9.2.3. The first thing to mention is that Nastel had support for 9.2.3 right away. Nastel Technologies is an integration infrastructure management (i2M) solutions company, and IBM MQ is at the heart of most enterprises’ integration infrastructure (i2).
Published August 12, 2021
I just heard that businesses are repatriating cloud workloads.
I was told, “The history of IT is paved with dreams of lower costs, better performance, and higher reliability through migrations to new platforms and languages and new architectures and infrastructures.”
“Some of the biggest recorded IT waste has been when companies focus on the ‘next big thing’ and have issues achieving successful implementations.
Published July 9, 2021
AIOps is an area of technology that is developing rapidly and is generally accepted to mean “using machine learning to contextualize large amounts of data”.
While data analytics systems are great at identifying unusual patterns in large amounts of data (for example in a data lake) they can be quite poor at providing context to the signals they detect.
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:
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.
Published October 15, 2020
Who has actually made the move off of the mainframe?
The answer is almost no one, we still all have them sitting in the basement doing what they have always done.
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.
