Published October 30, 2020
Information Technology (IT) has always relied on monitoring to provide an understanding of how systems perform over time. The basics has always been to collect a series of metrics and to build an algorithm that shows how these metrics are related, and then to show when a system is either reaching the limits of its capacity or is likely to break.
Published October 7, 2020
What is observability? What is the difference between observability vs monitoring? - Since rejoining Nastel, after a long period away in the cloud, I’ve been wondering why people are now talking about ‘observability’ when they used to talk about ‘monitoring’.
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.
Published September 2, 2020
Application Performance - Much of the costs associated with implementing a new app or upgrading an existing app are operational. For most companies at least a quarter of their entire IT budget is aligned to integration and configuration management.
Published July 23, 2020
Recently, I wrote about the difference between long-term support and continuous delivery releases of IBM MQ. In that discussion I pointed out that based on their traditional cadence that a new MQ release was not far off.
Published July 20, 2020
Are you like many enterprises, using a mix of messaging middleware applications including IBM MQ, Kafka and/or Tibco EMS?
And
Are you in the process of either moving some apps off of mainframes and in-house datacenters to the cloud, or starting to build news apps in new cloud environments?
Published May 29, 2020
If you are interested in multi-middleware message flow tracking, this video may be the best 5 minutes you have spent in a very long time!
Scott Corrigan from Nastel Technologies walks you through how to use Nastel’s XRay solution to view and analyze the performance of end-to-end transactions that span multiple middleware technologies (in the example you are interested in multi-middleware message flow tracking, this video may be the best 5 minutes you have spent in a very long time!le he shows an example using IBM MQ, Kafka and Java apps).
Published April 27, 2020
When developers create a middleware messaging connection between apps, they may choose to do so without encryption, to keep things fast and simple.
Often apps rely on middleware level encryption which secures data in transit between middleware hubs (brokers).
