Operations | Monitoring | ITSM | DevOps | Cloud

If you’re running workloads on Amazon EKS, there’s a good chance you already have some form of network observability in place. VPC Flow Logs have been a staple of AWS networking for years, and AWS has since introduced Container Network Observability, a newer set of capabilities built on Amazon CloudWatch Network Flow Monitor, that adds pod-level visibility and a service map directly in the EKS console.

Since the rise of Large Language Models (LLMs) like GPT-3 and GPT-4, organizations have been rapidly adopting Agentic AI to automate and enhance their workflows. Agentic AI refers to AI systems that act autonomously, perceiving their environment, making decisions, and taking actions based on that information rather than just reacting to direct human input.

As anyone managing one or more Kubernetes clusters knows by now, scaling can introduce an exponentially growing number of problems. The sheer volume of metrics, logs and other data can become an obstacle, rather than an asset, to effective troubleshooting and overall cluster management. Fragmented tools and manual troubleshooting processes introduce operational complexity leading to the inevitable security gaps and extended downtime.

Calico, Cilium, Retina, and Netobserv: Which Observability Tool is Right for Your Kubernetes Cluster? Network observability is a tale as old as the OSI model itself and anyone who has managed a network or even a Kubernetes cluster knows the feeling: a service suddenly can’t reach its dependency, a pod is mysteriously offline, and the Slack alerts start rolling in. Investigating network connectivity issues in these complex, distributed environments can be incredibly time consuming.

In our previous post, we addressed the most common questions platform teams are asking as they prepare for the retirement of the NGINX Ingress Controller. With the March 2026 deadline fast approaching, this guide provides a hands-on, step-by-step walkthrough for migrating to the Kubernetes Gateway API using Calico Ingress Gateway. You will learn how to translate NGINX annotations into HTTPRoute rules, run both models side by side, and safely cut over live traffic.

We recently sat down with representatives from 42 companies to discuss a pivotal moment in Kubernetes networking: the NGINX Ingress retirement. With the March 2026 retirement of the NGINX Ingress Controller fast approaching, platform teams are now facing a hard deadline to modernize their ingress strategy.

The Ingress NGINX Controller is approaching retirement, and teams need a clear path forward to manage Kubernetes ingress traffic securely and reliably. To make this transition easier, we’ve created a single, curated hub with all the relevant blogs and webinars. This hub serves as your one-stop resource for understanding the migration to Kubernetes Gateway API with Calico Ingress Gateway.

As Kubernetes platforms scale, one part of the system consistently resists standardization and predictability: networking. While compute and storage have largely matured into predictable, operationally stable subsystems, networking remains a primary source of complexity and operational risk This complexity is not the result of missing features or immature technology.

Kubernetes v1.35 marks an important turning point for cluster networking. The IPVS backend for kube-proxy has been officially deprecated, and future Kubernetes releases will remove it entirely. If your clusters still rely on IPVS, the clock is now very much ticking. Staying on IPVS is not just a matter of running older technology. As upstream support winds down, IPVS receives less testing, fewer fixes, and less attention overall.

In 2025, as modern applications became ever more distributed and the use of Kubernetes continued to proliferate, the role of container networking was critical. Today’s enterprises demand networking solutions that can scale, secure, and connect services reliably, whether those services run across multiple clouds, hybrid environments, or on-premises clusters.