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The shift from AI copilots to autonomous agents is redefining infrastructure requirements. Discover how to build secure, stateful, and compliant Agentic AI systems using Kubernetes, sandboxing, and observability while meeting EU AI Act standards

Mélanie Dallé

Senior Marketing Manager

A Kubernetes single pane of glass is a centralized management layer that unifies visibility, access control, cost allocation, and policy enforcement across § cluster in an enterprise fleet for all cloud providers. It replaces the fragmented practice of switching between AWS, GCP, and Azure consoles to govern infrastructure, giving platform teams a single source of truth for multi-cloud Kubernetes operations.

Mélanie Dallé

Senior Marketing Manager

Deploying a Docker container on Kubernetes requires building an image, authenticating with a registry, writing YAML deployment manifests, configuring services, and executing kubectl commands. While necessary to understand, executing this manual workflow across thousands of clusters causes severe configuration drift. Enterprise platform teams use agentic platforms to automate the entire deployment lifecycle.

Mélanie Dallé

Senior Marketing Manager

Optimizing Kubernetes on AWS is less about raw compute and more about surviving Day-2 operations. A standard failure mode occurs when teams scale the control plane while ignoring Amazon VPC IP exhaustion. When the cluster autoscaler triggers, nodes provision but pods fail to schedule due to IP depletion. Effective scaling requires network foresight before compute allocation.

Morgan Perry

Co-founder

At enterprise scale, managing provider-specific Kubernetes YAML across multiple clouds creates crippling configuration drift and operational toil. By adopting an agentic Kubernetes management platform, infrastructure teams abstract cloud-specific configurations (like ingress controllers and storage classes) into a single, declarative intent that automatically reconciles across 1,000+ clusters.

Mélanie Dallé

Senior Marketing Manager

To stop GPU costs from destroying SaaS margins, teams must transition from static to consumption-based infrastructure by utilizing Karpenter for dynamic provisioning, maximizing hardware density with NVIDIA MIG, and leveraging Qovery to tie scaling directly to business metrics.

Mélanie Dallé

Senior Marketing Manager

Kubernetes is a distributed orchestration engine that automates container deployment and scaling. At an enterprise level, its core mechanisms—control planes, schedulers, and worker nodes—provide foundational infrastructure resiliency. However, operating these components natively across thousands of clusters creates massive configuration drift, requiring intent-based control planes to manage Day-2 FinOps, RBAC, and multi-cloud abstraction globally.

Romaric Philogène

CEO & Co-founder

AI is helping developers write more code, faster than ever. But writing code is only half the story. What happens after? Building, deploying, debugging, scaling. That's where teams still lose hours.We're building Qovery for this era. Not just to deploy your code, but to make everything that comes after writing it just as fast.

Alessandro Carrano

Head of Product

When comparing Amazon EKS and Google Kubernetes Engine (GKE), GKE often provides a more automated, hands-off experience with its Autopilot mode and rapid release channels. EKS excels in hybrid cloud integrations and government cloud support. However, at fleet scale, organizations frequently use both, requiring an agentic control plane to enforce global cost governance and standardize Day-2 operations across multi-cloud environments.

Romaric Philogène

CEO & Co-founder