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?
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Published July 20, 2021
Your strategy is to move everything to software configured and cloud-connected existence. I can say this with absolute confidence because quite frankly this is everyone’s strategy in 2021.
With cloud thinking, every decision becomes an operational choice without the historical lags previously associated with massive capital changes.
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:
- 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.
Published February 25, 2021
The classic operations toolkit revolves around monitoring sets of physical properties (such as volume, speed, capacity) and having smart people build complex algorithms that describe when an event threshold has been breached.
As systems continue to become more advanced with more moving parts and more flexibility as to how they are combined, these algorithms have become too complex for the event the smartest teams to manage, so the response has been to deploy advanced data analytics with machine learning AI capabilities to augment these teams.
Published February 23, 2021
The pandemic hit, and the world has changed forever. I do not mean to sound overdramatic, but having 100% remote working, and 100% e-business forced on much of the business world, we have had to learn a lot of rather uncomfortable lessons.
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 18, 2020
The classic methods of monitoring computing platforms created a vast array of odometers and graphs that displayed the changes over time of critical system parameters.
The thinking has always been that if you can measure key system performance and capacity parameters, then you can build up a picture of performance from which you can then calculate and predict performance issues.
