Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes v1.34, codenamed “Of Wind & Will (O’ WaW)”, brings a wide range of enhancements aimed at making clusters more efficient, secure, and easier to manage. This release delivers 58 enhancements with 23 graduating to Stable, 22 entering Beta, and 13 in Alpha, reflecting the platform’s continued maturation as enterprises scale their container orchestration needs.

Amazon Web Services (AWS) provides more than 200 services. Among those, Amazon Elastic Compute Service (ECS), Elastic Kubernetes Service (EKS), and AWS Fargate help deploy and manage containers. Choosing between these services can be challenging. They seem similar on the surface (and are all popular). But each offers unique benefits and limitations. In this guide, we compare the three services, discussing the best use cases for each, and helping you choose the best fit for your business.

If you manage Kubernetes at scale with Rancher, you know that UI performance is not just a “nice-to-have”—it’s crucial for productivity. The Rancher team is on a continuous journey to enhance our platform’s ability to handle increasingly complex environments. In this post take a deep dive into an exciting, evolving improvement we’ve been developing: a project codenamed “Vai” (also called UI Server-Side Pagination or SQLite-backed caching).

Every engineering leader eventually asks the same question: What happens if my cloud region goes down? This isn't unheard of, or even rare, and the stakes are obvious. A single-region deployment might work fine on day one, but it leaves you exposed: one outage, one fiber cut, or one bad update from your provider, and your application is offline. In some cases, your entire business could be at risk. That's why recently, multi-region architecture has become the gold standard.

Performance testing is critical to build reliable applications, but testing at scale, especially inside modern Kubernetes environments, can be a challenge. For example, how do you coordinate tests across multiple nodes, test private services without compromising security, or even do both at once? And most importantly, how do you do all this without adding too much operational complexity to your stack?

Are you tired of digging through cryptic logs to understand your Kubernetes network? In today’s fast-paced cloud environments, clear, real-time visibility isn’t a luxury, it’s a necessity. Traditional logging and metrics often fall short, leaving you without the context needed to troubleshoot effectively. That’s precisely what Calico Whisker’s recent launch (with Calico v3.30) aims to solve. This tool provides clarity where logs alone fall short.

Tired of complex cloud setups? Explore the top 10 Fargate alternatives and discover how Qovery can simplify your container deployment, saving you time and money.

Data lock-in and freedom are a worldwide problem. As usual, the EU is the first to regulate it. The passing of the Data Act made clear that in Europe, companies are guaranteed: “fairness in the digital environment by clarifying who can create value from data and under which conditions.

Kubernetes, also known as K8s, is an open-source, portable, and scalable container orchestration platform. With K8s, you can reliably manage distributed systems for your applications, enabling declarative configuration and automatic deployment. Yet, K8s can be resource-intensive and costly, with a rather steep learning curve. But in 2019, a lighter, faster, and potentially more cost-effective alternative appeared: K3s. Still, K3s is not a magic wand that works for all Kubernetes deployments.

When a payment service runs across 12 pods — each serving different customer segments — and an authentication layer spans three namespaces, performance issues can originate in both the application code and the orchestration layer. The challenge is linking request-level performance data with what’s happening inside the cluster: container CPU limits, pod scheduling decisions, and node-level events.