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The latest News and Information on Containers, Kubernetes, Docker and related technologies.

Scaling Kubernetes GitOps with Fleet: Experiment Results and Lessons Learnt

Fleet, Rancher’s built-in GitOps engine, is designed to scale up to thousands of clusters. However, “how far” can it scale in a real world scenario, you might ask? Earlier this year, we wrote about the Fleet benchmark tool and we made a few discoveries that were very instructive, especially concerning resource consumption and its impact on deployments’ performances.

KubeCon Atlanta 2025 & the AI-Native Shift

KubeCon + CloudNativeCon North America 2025 in Atlanta marked a definitive moment for cloud-native infrastructure. Over four days, celebrating the 10th anniversary of both CNCF and Kubernetes, more than 9,000 attendees witnessed the ecosystem’s evolution from container orchestration to AI-native operations. The conference delivered a clear message – AI workloads are no longer experimental.

Scaling faster and predictable cloud bills with Civo's FlexCore

How does Defense.com scale its SaaS security platform while keeping costs predictable? CEO Oliver Pinson-Roxburgh explains why Civo’s FlexCore was the only choice. FlexCore is engineered to deliver massive scalability and high performance, as milliseconds matter for real-time threat analysis, while ensuring UK Data Sovereignty and Compliance (ISO 27001). Crucially, FlexCore offers predictable pricing, eliminating the sudden, massive bills of larger providers. FlexCore delivers on-prem performance with public cloud scaling and simplicity.

Building Trust in AI-Powered Kubernetes Ops: Why "Good Enough" Is a Production Killer

The air in the operations world is thick with AI and LLMs. EVERY vendor is rushing to slap an “AI-powered” badge on their product. But here’s the uncomfortable truth: In high-stakes Kubernetes operations, one bad AI recommendation can destroy months of trust-building in an instant. We aren’t building a chatbot to suggest recipes. We are building systems that, armed with kubectl permissions, have the potential to take down production with a single, wrong command.

Setting Up a Windows VM on Cycle

In the last few months we've made some changes to VMs that finally allow installing and running Windows on them. MS Paint on Cycle is finally a reality. To make Windows VMs work, we had to add a few things to the platform to support it. As always with Windows, there are some quirks, gotchas, and pain points. But in the guide below, I'll show you how we solved these issues in our recent platform update, and how to install and run a Windows Server 2025 VM on Cycle with full network connectivity.

Building visibility and resilience across Kubernetes

Kubernetes has transformed how modern applications are deployed and scaled. Its flexibility and automation power innovation but also expand the attack surface. From control plane access to runtime drift, Kubernetes introduces layers of complexity that can obscure visibility if not properly monitored. For security leaders, Kubernetes is both an opportunity and a risk. While it enables agility, it also decentralizes security responsibility across teams, tools, and cloud layers.

Ingress NGINX Controller Is Dead - Should You Move to Gateway API?

Ingress NGINX Controller, the trusty staple of countless platform engineering toolkits, is about to be put out to pasture. This news was announced by the Kubernetes community recently, and very quickly circulated throughout the cloud-native space. It’s big news for any platform team that currently uses the NGINX Controller because, as of March 26, 2026, there will be no more bug fixes, no more critical vulnerability patches and no more enhancements when Kubernetes continues to release new versions.

Heroku vs. Kubernetes

If you are deciding where to deploy a web app, you will almost always run into a choice between a platform like Heroku and running on Kubernetes. This article will compare Heroku and Kubernetes. They are two popular platforms for deploying and managing applications. This article breaks down the key differences in architecture, use cases, complexity, cost, and scalability to help engineers choose the right go-to platform for their needs.