Cloud is not new. The term dates back at least twenty years. Some people will tell you that the term “cloud” just means using someone else’s computing environment, and in some ways, this is where it started.
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The meshIQ blog provides insights into pivotal and disruptive technologies, such as Hybrid Cloud, i2M, Messaging Middleware, AI, blockchain, and more contributed by MeshIQ experts and innovators.
Cloud is not new. The term dates back at least twenty years. Some people will tell you that the term “cloud” just means using someone else’s computing environment, and in some ways, this is where it started.
Live Webinar – De-risk your Messaging Middleware Infrastructure!
Date: Wednesday, April 21st at 11 am ET/8 am PT
Speaker: David Liff, Vice President
Host: Steven Menges, Head of Product Management
Messaging middleware platforms are amongst the most stable and as a result, can suffer from under-resourcing as the accepted business logic is to focus resources where more immediate issues exist.
Live Webinar – De-risk your Messaging Middleware Infrastructure!
Date: Wednesday, April 21st at 11 am ET/8 am PT
Speaker: David Liff, Vice President
Host: Steven Menges, Head of Product Management
Messaging middleware platforms are amongst the most stable and as a result, can suffer from under-resourcing as the accepted business logic is to focus resources where more immediate issues exist.
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:
What’s new in MQ 9.2.2?
The most recent Continuous Delivery (CD) release for IBM MQ became generally available on March 25th, 2021. CD releases provide insight into what the next Long Term Support (LTS) release will look at.
Wednesday, April 7, 2021, 1 p.m. ET
Many enterprises are adopting OpenShift in their journey to building and running containerized workloads in on-premise, cloud-based or hybrid environments. These initiatives leverage multiple application integration technologies, such as IBM MQ, Apache Kafka, or Tibco EMS.
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.
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.
Ask the Experts and Innovators: Leigh Reed
Leigh Reed, a Service Automation and Assurance Analyst who is also an expert in service operations and APM, including messaging middleware and full-stack performance, and other monitoring, is my guest for this interview. Mr.