Dell Technologies World is upon us, and in addition to being a welcomed return to the in-person format, it’s also an opportunity for me to reflect on Virtana’s long history with Dell, our integration points, and the synergies with the Dell portfolio.
Barcode is one of the oldest & pioneer asset tracking technology. It provides simple and effective asset tracking and along with that, it is cost-effective as well. Several technologies have evolved with barcode technology one of the examples is QR (Quick Response) code technology. Barcode-based Asset Tracking Software offers quantifiable benefits such as asset location tracking, saving assets from theft misplacement, data & information tracking, and data analysis.
Cloud computing has been transforming financial IT infrastructure into a utility allowing financial institutions (FIs) to access computing resources on-demand letting FIs offload costs and effort of setting-up and managing their own on-premises infrastructure, improving agility and time to business value. As more and more financial institutions rely on hybrid cloud services, data security in the cloud is a business imperative.
When I left Red Hat to join SUSE as a Technical Marketing Manager at the end of 2021, I heard about Harvester, a new Hyperconverged Infrastructure (HCI) solution with Kubernetes under the hood. When I started looking at it, I immediately saw use cases where Harvester could really help IT operators and DevOps engineers. There are solutions that offer similar capabilities but there’s nothing else on the market like Harvester.
I spent over a decade as a consultant working for dozens of companies in many fields and pursuits. The diversity of each code base is tremendous. This article will try to define general rules for modernizing legacy code that would hopefully apply to all. But it comes from the angle of a Java developer. When writing this, my primary focus is on updating an old Java 6 era style J2EE code to the more modern Spring Boot/Jakarta EE code.
Active Directory (AD) objects are rarely managed as standalone entities. In Part 3 of this series, we covered practical exercises for creating and managing two of the most critical AD objects, namely users and computers, after setting up a laboratory AD environment on virtual machines. To manage AD effectively, knowledge and practical experience with AD groups and organization units (OUs) is imperative. In this fourth part of our series, we’ll elaborate on this.