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Master Kubernetes management in 2026. Discover how Agentic Automation resolves Day-2 Ops, eliminates configuration drift, and cuts cloud spend on vanilla EKS/GKE/AKS.

Every year, NVIDIA GTC offers a glimpse into the future of computing. But this year felt different. The conversations from the past few days point to something bigger than faster GPUs or larger models. The industry is shifting its mindset entirely. GTC 2026 made it clear that the goalposts for AI haven't just moved, they’ve been uprooted. We’re past the point of talking about "faster chips." Everything points to a total shift in the industry's DNA.

In the modern cloud infrastructure landscape, we don’t have a data problem; we have an actionable interpretation gap. Engineering teams are often drowning in metrics that describe a crisis without providing a clear path to remediation. Traditional FinOps, SRE, and DevOps work has become a reactive loop of dashboard-watching and manual firefighting.

Despite the wealth of data available, distilling a coherent narrative from a Kubernetes cluster remains a challenge for modern infrastructure teams. Even with powerful visualization tools like the Policy Board, Service Graph, and specialized dashboards, users often find themselves spending significant time piecing together context across different screens.

The 2025 State of Containers and Serverless report found that 64% of organizations use the Kubernetes Horizontal Pod Autoscaler (HPA) to manage Kubernetes workload capacity. But only 20% of those deployments scale on custom metrics. The other four-fifths of organizations rely on resource metrics—CPU and memory utilized by their pods—to trigger autoscaling activity.

Out-of-the-box and bring-your-own AI agents that encode operational knowledge boost troubleshooting speed and accuracy across cloud native infrastructure TEL AVIV and SAN FRANCISCO, March 18, 2026 — Komodor, the autonomous AI SRE company for cloud-native infrastructure, today announced a new extensibility framework that transforms its Klaudia AI technology into a universal multi-agent platform for troubleshooting and optimizing performance of complex cloud native infrastructures and applications.

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.

Sources: G2 reviews, vendor documentation, 2026 market data. Docker's release in 2013 made Linux namespaces and cgroups accessible without deep kernel expertise, and container adoption took off fast. The value was clear: one portable unit with everything the process needs, running consistently across any host. Teams that were previously shipping VMs with bundled OS, runtime, and application code finally had a better option, and they took it.

Sources: G2 reviews, vendor documentation, 2026 market data. Docker's release in 2013 made Linux namespaces and cgroups accessible without deep kernel expertise, and container adoption took off fast. The value was clear: one portable unit with everything the process needs, running consistently across any host. Teams that were previously shipping VMs with bundled OS, runtime, and application code finally had a better option, and they took it.