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Published September 2, 2022

Apache Kafka is an open-source software platform for processing streams of events. Developed for the streaming and archiving of data, Kafka is now supported by a large ecosystem of third-party applications. Developed by the founders of Confluent, Kafka was initially created in 2007 while the three creators were at LinkedIn.

Confluent for Apache Kafka and Confluent for Kubernetes
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Published July 11, 2022

Selecting the right middleware for your company can be one of the most important decisions that you can make at the outset of a software project, as this will determine how well your business performs going forward. We look at some of the key features from the major integration software providers below.

How to Choose the Right Middleware
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Published June 16, 2022

Shifting to the cloud? Multi-cloud environments enable organizations to expand their computing and storage capacities easily, but that comes with tradeoffs — topping the list: cybersecurity.

What makes cloud computing appealing is also a reason to worry.

4 Multi-Cloud Misconceptions that Put Organizations at Risk
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Published May 24, 2022

We had a fantastic time at the Kafka Summit in London this year. It was so great to be meeting everyone face to face again after such a long break. It was interesting to see how people had progressed with their Kafka implementations.

Kafka Summit 2022
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Published April 27, 2022

In order to understand the security benefits offered by IBM Cloud Pak for Integration (CP4I), it is important to learn about what it is and what it does.

What is IBM Cloud Pak for Integration? 

IBM’s Cloud Paks use Red Hat’s OpenShift Container Platform as the basis for the creation of enterprise-grade applications which are native to the cloud and provide extensive interoperability with on-site systems and environments.

How can IBM Cloud Pak for Integration Enhance a Business’s Security?
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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.

Life, the Universe and AIOps
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Published April 19, 2021

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.

Have Cloud Security Needs Changed Since COVID-19?
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Published March 16, 2021

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.

Mastering Application Integration Challenges in Hybrid Cloud Environments
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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.

Observability is to Monitoring what Tesla is to Horse Drawn Carriage