Edge Kubernetes App Flows
Full-Stack Edge Kubernetes for the AI Era
What Is ZEDEDA Edge Kubernetes App Flows?
ZEDEDA Edge Kubernetes App Flows builds on Edge Kubernetes Service by adding application-layer automation to edge clusters. While our Kubernetes Service manages the Kubernetes cluster lifecycle (provisioning, scaling, and infrastructure operations), App Flows automates the application lifecycle running on those clusters, from packaging and configuration to delivery and observability.
Edge Kubernetes App Flows is the industry’s first full-stack edge Kubernetes-as-a-Service solution purpose-built for AI workloads at the edge. Built on ZEDEDA’s proven edge orchestration platform, it integrates:
- Edge device security & identity (EVE-OS + TPM)
- Kubernetes cluster lifecycle management (K3s), and
- GitOps-based app delivery and observability
This architecture enables zero-trust security, resilient offline operations, and scalable management of tens of thousands of clusters.
How ZEDEDA Edge Kubernetes App Flows Works
ZEDEDA unifies the three critical layers of the edge compute stack into a single solution.
Layer 1 — The Edge Device Layer: Zero-Trust Foundation
Enabled by EVE-OS:
- Hardware-backed identity (TPM)
- Measured boot & remote attestation
- Pull-only architecture with no inbound ports
- Protection against theft, disk cloning, and tampering
Layer 2 — The Edge Kubernetes Infrastructure Layer
Managed by ZEDEDA Edge Kubernetes Service:
- Deploys and manages standard K3s clusters
- Supports bare metal, GPU acceleration, and mixed VMs + containers
- Enables high-performance AI inference at the edge
- Scales to thousands of small clusters with zero-touch provisioning
Layer 3 — The Edge Application Layer (GitOps Automation)
- GitOps continuous delivery with full auditability
- Automated app packaging, manifest generation, and distribution
- Customizable app definitions + built-in marketplace
- Adaptive observability across intermittent networks
Key Capabilities
Simplify
Streamline edge operations with consistent app management at distributed sites, reducing manual intervention.
Automate
Enforce desired state across thousands of clusters, even with unreliable connectivity, through GitOps-driven delivery.
Grow
Support AI close to the data source to reduce cloud costs and boost performance—leveraging AMD/ARM CPUs, NVIDIA GPUs, and constrained hardware.
Architected for True Edge Scale
Zero-Trust Security
Continuous validation of devices, applications, and communications.
Offline Resilience
Graceful handling of intermittent connectivity and fully disconnected operations.
Edge Scale
Manage tens of thousands of clusters and unattended devices.
Hardware-Agnostic Flexibility
Run on diverse computing resources—from gateways to ruggedized industrial PCs.
Why It Matters
As organizations roll out edge AI for predictive maintenance, visual inspection, logistics optimization, and autonomous operations, they need Kubernetes that matches the edge realities—not cloud assumptions.
ZEDEDA Edge Kubernetes App Flows delivers cloud-native agility with edge-native resilience, so teams can focus on delivering intelligent applications, not managing infrastructure.