Operations | Monitoring | ITSM | DevOps | Cloud

With the Kafka Summit fast approaching, I thought it was time to get my hands dirty and see what it’s all about. As an advocate for IoT, I heard about Kafka but was too embedded in protocols like MQTT to investigate further. For the uninitiated (like me) both protocols seem extremely similar if not almost competing. However, I have learned this is far from the case and actually, in many cases, they complement one another.

The financial services industry has evolved at an astonishing rate in recent years, underpinned by rapid advances in technology. Financial institutions (FIs) are digitising their customer journeys and scaling-up transformation. Cloud is a catalyst for enterprise business transformation and is a focus for C-suite executives and board members of financial services organisations.

The explosion of talent available for remote work (and the widespread acceptance of remote first employment) allows for global collaboration on an unprecedented scale.

IoT devices and technologies are very popular now. Therefore, an important task is to ensure the smooth operation of IoT infrastructures. In this article, we will learn why and how to monitor MQTT metrics and also look at the tools that you should use for monitoring.

Healthcare providers must be extremely vigilant in their cybersecurity defense posture. After all, vulnerabilities in the Internet of Medical Things (IoMT) cost hospitals nearly $21 billion in 2021. New security discoveries by Ivanti partner Cynerio recently made that statistic personal for many providers. While working with an existing healthcare customer, Cynerio found five zero-day vulnerabilities in Aethon TUG autonomous robots – an IoMT device found in many healthcare facilities.

I was intrigued by two recent IoT related survey and reports. They emphasise use cases about efficiencies and return on investments but, surprisingly, there is no mention of people-safety nor productivity. I think it is imperative to place people at the heart of the IoT universe. Today, people related use cases have been greatly understated. We will be doing a great injustice if we continue to ignore the human angle.

There has been a lot of coverage of machine learning (ML) for biological research, for radiology, and for other uses where the direct users are academics, researchers, and medical professionals. However, there is an opportunity for some biological information to be useful in the retail industry. One area is in skincare.

We’ve already outlined why API performance matters and what aspects of APIs to test, but what is the difference between API testing and monitoring? As with most things, context matters. The use cases for testing and monitoring are different because the objectives are different. The ultimate goal is to verify that your APIs are functioning properly, but staging environments vary significantly from production environments.