Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes v1.34, which is scheduled for release August 27, 2025, focuses on improved scheduler visibility, deeper life cycle observability, and enhanced resource management. As always, the list of changes and improvements in the official changelog is extensive, and cluster operators may be wondering which changes are most important. If you're operating a monitoring platform or depend on deep Kubernetes observability, here's how a number of new features will affect your workflows.

As Kubernetes adoption scales across enterprise architectures, platform architects face mounting pressure to implement consistent security guardrails across distributed, multi-cluster environments while maintaining operational velocity. Modern infrastructure demands a security architecture that can adapt without introducing complexity or performance penalties.

Modern application development is evolving rapidly, with serverless containers and microservices becoming the standard for scalable, resilient architectures. Azure Container Apps is at the forefront of this movement, enabling developers to deploy containerized applications without having to manage infrastructure.

Most conversations about buy vs build turn into budget debates. But engineers know that the deeper question is: what exactly are we signing up to run, and who is going to run it? The operating model you choose: is what defines what layers of the stack you own, what skills your team needs, and how you spend your nights on-call. This article reframes the decision around the work itself, not just the invoice.

Containers and microservices are revolutionizing how distributed applications are built, run, and optimized. They enable apps to be highly scalable. You can also isolate some areas for updates and patches without shutting down the entire application or service. Yet, managing containers and microservices at scale can be tricky. That’s where a container management platform like Kubernetes comes in – or, as you’ll see below, where the top Kubernetes alternatives shine.

Azure Kubernetes Service (AKS) continuously generates a high volume of telemetry, ranging from node-level CPU and memory usage to request latencies and error rates within individual pods and services. Without a structured monitoring strategy, this flood of metrics can easily become noise, leaving teams blind to early warning signs. Effective monitoring in AKS is about identifying the right signals, correlating them across layers, and acting before they impact application performance or cluster stability.

The UK’s Competition and Markets Authority (CMA) recently published its final verdict on the state of the cloud industry. While the tone may have softened since its initial findings, the conclusion was still damning: hyperscalers like AWS and Microsoft continue to unfairly dominate the cloud market through opaque, inflated pricing and technical lock-in strategies.

Discover how to cut the pain out of AKS migration. Qovery streamlines Kubernetes setup, scaling, and management on Azure.