Operations | Monitoring | ITSM | DevOps | Cloud

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.

Service management needs to change. The philosophies and understanding that gave way to the original concept of ITSM have been overtaken by time and perspective, rendering them outdated and leaving IT managers grasping with how to move forward. Because the various factors of work are constantly shifting (shown most clearly over the course of the last two years, but broadly true of any given period of time in tech), we need to be limber in our ways of thinking of these concepts.

We are in May 2022, and hundreds of startups have built their infrastructure on AWS using Qovery. This article will share the 10 best (and fancy) AWS architectures our customers have made. From the most classic architecture to the craziest 🤪 It can give you some ideas. Let's go 🚀

Today, Derdack SIGNL4 (www.signl4.com), provider of critical alerting and anywhere incident response for SecOps teams, announced it has joined the Microsoft Intelligent Security Association (MISA), an ecosystem of independent software vendors and managed security service providers that have integrated their solutions to better defend against a world of increasing threats.

The desire to release features faster and deliver value to customers sooner is prompting many IT teams to adopt DevOps and Agile practices. By automating parts of the development process where possible and working in shorter cycles to release small changes more often, those teams that do well experience fewer errors and produce higher quality code. All of which is good news, until it comes to the database.

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.