Operations | Monitoring | ITSM | DevOps | Cloud

Discover why hiring DevOps engineers may not be the only path for mid-size companies scaling their teams. Explore how automation tools like Qovery can reduce costs, boost productivity, and streamline infrastructure and deployment.

Co-authored with Julie Muzina A year ago, during our Madrid Engineering Sprint, we challenged ourselves to dramatically reduce, or even eliminate, the need for constant design involvement in the day-to-day creation of web pages. Our strategy for achieving this is based on a smarter, more structured approach to content.

Same as in the community, Enterprise developers need tools that are both powerful and flexible. They need to innovate quickly, iterate efficiently‌ and deploy with confidence. This is where the synergy between Rancher Desktop and SUSE Application Collection truly shines, offering a comprehensive environment for modern enterprise developers.

Historically, data center professionals have managed their sites using traditional tools like Excel and Visio. While manual spreadsheets and diagrams served their purpose for simple tasks, they were never designed for the complexity, scale, or speed of modern data center operations. However, Data Center Infrastructure Management (DCIM) software is purpose-built to plan, provision, model, track, and monitor all infrastructure across all sites.

AI has become a massive investment for companies. Engineering teams across industries are integrating AI into their products, whether it’s through homegrown, self-managed models or third-party model integrations. But no matter how much AI shifts the user experience, it’s still an application, which means your engineering team still needs to operate it and keep it reliable. At the same time, AI applications add complexity and complications that require a shift in your approach.

There is a huge amount of hype around AI. Companies are growing faster than ever, IT budgets are being redirected, and product roadmaps everywhere are being redrawn. There is no doubt LLM’s are a transformative technology. At the same time, as with any early technology cycle we are far from understanding the patterns of success. And for sure, mis-steps and bad takes abound.

Tableau database connectors are changing the narrative of how to work with data from your dashboard. A few years ago, the ability to pull data from almost any source, including your company’s internal database or even a web API, and immediately convert it into powerful, interactive dashboards sounded too good to be true. Today, with Tableau database connectors, you can pull data from virtually any data source and convert it instantly into a powerful dashboard.

GitLens 17.2 is here with a comprehensive set of improvements designed to enhance how you work with Git. This release introduces Commit Composer – AI-powered commit organization, refines the Home View experience based on your feedback, expands AI model support, and delivers enterprise-grade security controls for teams using AI features. Let’s explore what’s new and how these features can improve your development workflow.