Availability & Roadmap

This page gives customers a clean read on what is ready for production today, what is available for selected partners, and what is still on the roadmap.

Release stages

Stage	Meaning
Generally available	Supported for production use with documented APIs and normal support paths.
Partner preview	Available to approved customers while we finish polish, SDK parity, or operating runbooks.
In hardening	Built or partially available, but not ready to promise as a stable public surface.
Planned	On the roadmap, not available for production use yet.

Generally available

Create isolated Linux workspaces for code generation, build steps, test runs, long-running commands, file operations, and live previews.

Expose a running process on a public preview URL, with private preview tokens for embedded product experiences.

Turn a sandbox into a durable deployment version, promote it, list versions, and roll back when needed.

Use Postgres, MySQL, Redis, Qdrant, object storage, per-project auth, and persistent volumes with credentials injected into runtime.

Use external IDs, browser tokens, custom branding, preview domains, webhooks, and usage rollups to build MIOSA into your own product.

Partner preview

These surfaces are being used with selected customers while we continue polishing public docs and SDK parity.

Surface	Current scope
Computers	Full Linux desktops for browser automation, screenshot loops, and computer-use agents.
Dynamic deployments	Production server processes created from a sandbox publish.
App Engine	Workspace-scoped container runtime for apps that need Docker, server processes, background workers, or database-backed production hosting.
Tenant deployment domains	Branded app domains for generated apps, separate from sandbox preview domains. Routing exists; tenant-level self-service remains operator-assisted while exact deployment domains are self-service.
External computer providers	Bring third-party computer providers into the same MIOSA computer abstraction.
Evaluations	Desktop and agent workflow benchmarks using reproducible tasks, traces, and scoring.

In hardening

Area	Status
Desktop computer provisioning	Computers preserve disks and snapshots across stop, resume, and failed recovery. Start latency and stream readiness continue to be hardened.
Dynamic runtime routing	Dynamic runtimes keep the active healthy version serving while candidates build. Route evidence and automated recovery continue to be hardened.
App Engine fleet maintenance	Host upgrades preserve deployment records and desired state, restore desired-running apps, and verify workloads before returning a host to active service.
Customer-cloud regions	AWS and Google Cloud foundations exist, but production placement remains gated on a real provider canary and per-host acceptance evidence.
Managed data recovery	Database IDs, credentials, volumes, bindings, and desired state survive host maintenance. Recovery visibility continues to be expanded across product surfaces.
Deployment proof	CLI, TypeScript SDK, Python SDK, and Go SDK expose proof checks. Java and Elixir parity is still in progress.
SDK parity	Python and TypeScript are deepest today. Go, Java, Elixir, and UI packages are being brought to the same coverage over time.
Cross-workspace analytics	Resource attribution is live. Higher-level dashboards and billing views are expanding.

Planned

Capability	Notes
Native GPU sandboxes	Planned for workloads that need accelerated inference or rendering.
Edge functions	Planned as a deployment target separate from origin runtimes.
Native nameservers	Planned for customers who want MIOSA to manage more of the domain lifecycle.
OTLP export	Planned for teams that want platform traces in their own observability stack.
Test-mode API keys	Planned to separate production billing from integration testing.

MIOSA is not trying to be a generic Kubernetes replacement, commodity VPS provider, or blockchain platform. The product is focused on AI-generated software, isolated execution, live previews, desktop automation, white-label SaaS infrastructure, and durable deployment.