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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Smarter Data Center Capacity Planning for AI Innovation

Global demand for data center capacity is skyrocketing. From 2023 to 2030, power consumption across data centers is expected to grow by up to 22% annually, driven primarily by generative AI (GenAI) workloads. By 2030, AI workloads are predicted to account for 70% of total demand. This demand doesn’t just mean more hardware; it necessitates high-density computing environments to support training large language models like GPT and real-time inference systems.

GenAI: 80% Adoption by 2026... Are You Ready?

In this video, we explore the growing adoption of Generative AI in enterprise, the common pitfalls companies face, and how to build GenAI infrastructure that’s secure, scalable, and production-ready. We also introduce how relaxAI, Civo’s AI assistant, helps solve key challenges around privacy and infrastructure, giving you full control by bringing the LLM to your data.

Goodbye imagePullSecrets, Hello Kubernetes Credential Providers

Previously, we showed you how to securely pull Docker images from Cloudsmith to Kubernetes using OIDC with a CronJob-based approach. We concluded the post discussing credential provider plugins from Kubernetes 1.20 and an enhancement in Kubernetes 1.33 that offers a new approach for external registries like Cloudsmith. We have now built a credential provider that takes advantage of this new capability. This article explores what this means for the future of pulling images from Cloudsmith on Kubernetes.

Managed IT Services in Mississauga: Reliable Solutions

In today's fast-paced business environment, having reliable IT support is crucial for success. Companies in Mississauga are no exception, as they face unique challenges in maintaining their technology infrastructure. With the increasing demand for efficient and secure IT systems, businesses are turning to managed IT services to stay ahead of the curve.

Access Logs: Format Specification and Practical Usage

Your server's been logging everything—it’s just easy to overlook until something breaks. Every incoming request, database call, or auth check ends up in your access logs. They’re not flashy, but they quietly document every interaction your system handles. For developers, they’re often the most reliable starting point when things go wrong. In this blog, we'll take a look at what an access log is, its format, types, and a few best practices.

AI is now writing code at scale - but who's checking it?

As Generative AI (GenAI) reshapes the software development landscape, the risks and complexities around managing what gets built, where it comes from, and how it’s secured are growing just as fast. The Cloudsmith 2025 Artifact Management Report dives into this shift, offering critical insights into how teams are adapting their infrastructure and software supply chain security practices in response to the AI-generated code.

Fewer Bindings, More Power: Rancher's RBAC Boost for Enhanced Performance and Scalability

Managing permissions in sprawling Kubernetes landscapes can often feel like untangling an ever-growing knot. As clusters and user bases expand, so does the intricate web of RoleBindings, impacting everything from UI responsiveness to the very stability of etcd. This complexity, if unaddressed, can become a significant hurdle to achieving scalability and maintaining optimal performance in Rancher. SUSE is committed to improving its container management platform.

Engineering Excellence Summits Recap

The best engineering teams ship quality software quickly, but doing that consistently requires more than just speed. It requires careful attention to reliability, security, ease of maintenance, and developer experience. The Engineering Excellence Summits were designed to create a community of engineering leaders looking to connect with others facing similar challenges, share approaches that are working, and learn what “better” can look like.

Platform engineering with a product-management mindset

To really make an impact, platform engineering teams need to start thinking like product managers. That means deeply understanding their users, measuring outcomes instead of outputs, and tying everything they do to real business value. Organizations who care about total cost of ownership and fast time to value are adopting this mindset.