ENTERPRISE.SYS // AI RUNTIMES AUTOMATION // AI RUNTIMES

Enterprise infrastructure automation

Private agent runtimes for automation and AI.

Edka helps teams operate long running AI agent runtimes, apps, databases, and internal automations in their own cloud account, with support for cloud and physical instances.

PRIVATE BOUNDARY

Dedicated Edka instance Customer exclusive private access
Cloud and Metal instances Cloud control plane plus dedicated workers
Operationally transparent You administer the boundary, with a clean detach path
PLATFORM.REGISTRY // ENTERPRISE CAPABILITIES 8 MODULES

Controlled infrastructure for teams building automation and AI.

Edka combines a cloud managed control plane, Cloud and Metal instances, and dedicated platform access for automation, AI runtimes, apps, and data services while keeping state in your account.

Dedicated Edka instances

Run a dedicated Edka control plane scoped to your team, with private access paths and a workload boundary you administer with root and kubeconfig access.

Cloud and Metal instances

Run Cloud instances and attach dedicated Metal servers as Kubernetes workers for sustained agent, automation, and data workloads while the control plane stays cloud managed.

Private agent runtimes

Run Hermes, OpenClaw, and supporting tools inside your own Kubernetes cluster with profiles, webhooks, runtime health, logs, and backups.

Automation workers and internal tools

Host APIs, queues, cron jobs, workflow tools, dashboards, and custom containers next to the data and services they operate on.

Data services and runtime state

Operate PostgreSQL, MySQL, Valkey, ClickHouse, object storage integrations, and backup flows in your own cloud account.

Controlled access by default

Expose each workload through the right path: Tailscale, Cloudflare Zero Trust, Gateway API, public or private Load Balancers.

Observability and operations

Give teams one place to inspect deployments, agents, logs, metrics, diagnostics, cluster health, and supporting services.

Kubernetes native control

Keep root access, kubeconfig access, GitOps workflows, open components, and a practical detach path if your needs change.

DELIVERY.MODEL // HOW WE HELP DESIGN → MIGRATE → OPERATE

PHASE.01

Design the runtime boundary

Map the workloads, data boundary, dedicated instance model, access paths, automation needs, and reliability requirements before moving anything.

  • Architecture review
  • Workload inventory
  • Dedicated instance model
  • Security boundary

PHASE.02

Build and migrate workloads

Move the right services onto Edka first: agent runtimes, internal automations, databases, observability, app deployments.

  • Cluster foundation
  • Cloud and Metal instances
  • Databases and add-ons
  • Private endpoints

PHASE.03

Operate with your team

Support rollout, upgrades, debugging, backup strategy, incident response, and handover without hiding the infrastructure from you.

  • Launch support
  • Runbooks
  • Diagnostics
  • Ongoing optimization

START // ENTERPRISE DISCOVERY

Want private agent runtimes and dedicated capacity without losing control?

We will review your current workloads, identify the first useful migration path, and decide what belongs on Cloud and Metal instances, or outside Edka.