Operations | Monitoring | ITSM | DevOps | Cloud

In Kubernetes environments, cost is rarely just about spend. It’s about performance, node utilization, workload behavior, and how all of those align with your team’s operational goals. Komodor’s approach to cost optimization has an operational advantage due to its deep visibility into your entire Kubernetes estate. Imagine the potential for cost optimization when you have complete visibility into every aspect of your Kubernetes operations.

Amazon promotes its RDS as a scalable, high-performing alternative to traditional databases, backed by automation and reliability. It’s popular among teams looking to offload maintenance and improve availability. But while the service is robust, costs can rise quickly depending on how it’s used. This guide explains how Amazon RDS pricing works. In addition, we’ll discuss how to understand, optimize, and view your RDS costs. But first…

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.