Recapping Datadog Summit Denver 2022
After a two-year hiatus, Datadog customer summits are back. And what better place to begin in-person again than in sunny Denver, Colorado!
The latest News and Information on DevOps, CI/CD, Automation and related technologies.
After a two-year hiatus, Datadog customer summits are back. And what better place to begin in-person again than in sunny Denver, Colorado!
Technical debt is the implied cost of the additional work that is required when a team chooses a quick, easy solution that is limited, instead of a more well-thought-out, higher-quality solution that would take longer. Essentially, it’s what happens when teams prioritize speed over quality. Examples of technical debt include untested code, unreadable code, dead code, duplicated code, or outdated documentation.
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.
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.
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.