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
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 Codex environments, Hermes, OpenClaw, and supporting tools inside your own Kubernetes cluster with repository workspaces, 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.
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.
What is a dedicated Edka instance?
A dedicated Edka control plane scoped to your team, with private access paths and a workload boundary you administer with root and kubeconfig access.
Can we attach our own dedicated servers?
Yes. Dedicated Metal servers join your cluster as Kubernetes workers for sustained agent, automation, and data workloads, while the control plane stays cloud managed.
Does Edka help with migration?
Yes. Engagements cover the runtime boundary design, workload inventory, and moving the first services: agent runtimes, internal automations, databases, observability, and app deployments. After launch we support rollout, upgrades, debugging, backup strategy, and incident response with your team.
What support does Enterprise include?
Dedicated 24/7 support with a custom SLA, plus runbooks, diagnostics, and ongoing optimization during operations engagements.
What happens if we later move off Edka?
You keep root access, kubeconfig access, GitOps workflows, and open components throughout, with a practical detach path if your needs change. The infrastructure stays in your own account.