Operations | Monitoring | ITSM | DevOps | Cloud

Benjamin Franklin was a smart dude. Among the many wonderful things he produced was an eternal bit of wisdom - an ounce of prevention is worth a pound of cure. To avoid a bigger problem, spend time early on the things that help you avoid it. That wisdom applies everywhere. Avoid nasty stuff with doctors by exercising and making healthier choices. Avoid getting hit by a car by looking both ways. Avoid sunburn by wearing sunscreen. You get it. So what does this have to do with Sentry? A lot.

IT infrastructure was often thought of as the support system of organizations. Before 2020, most IT-related investments were planned to keep up with the competitors or technology. However, these plans were executed only if the yearly budget allowed it. Covid-19 was an eye-opener for such organizations. The pandemic made businesses realize that IT was no more a support system. It was holding up the business and, in some cases, saved them from going out of business.

Tom Granot and myself have had the privilege of Vlad Mihalcea’s online company for a while now. As a result we decided to do a workshop together talking about a lot of the things we learned in the process. This workshop would be pretty informal ad-hoc, just a bunch of guys chatting and showing off what we can do with tooling.

Every year hackers grow in numbers, aggressiveness, organization, and sophistication. And every year there are new attack types and new areas of IT infrastructure that cybercriminals target. 2022 is no different. We are about a third of the way in already and IT pros and security specialists already have their hands full with new attacks and new issues.

Azure App Service is a cloud-based platform-as-a-service (PaaS) for deploying functions, web apps, mobile apps, and other resources. It allows developers to deploy code—using common languages and frameworks—in minutes without worrying about provisioning or managing infrastructure. Developers can then use Azure App Service to scale their services dynamically to meet demand.

A team of data scientists from the University of Pittsburgh School of Medicine in the US, and neurotrauma surgeons from the University of Pittsburgh Medical Centre, has developed the first automated brain scans and machine-learning techniques to inform outcomes for patients who have severe traumatic brain injuries. The advanced machine-learning algorithm can analyse vast volumes of data from brain scans and relevant clinical data from patients.