Workspace creation should fail before allocation, not halfway through a build. When quota and terms can vary, operations needs a conservative capacity envelope and an orphan sweep—not a dashboard that merely turns red after resources accumulate.
Define every quantity in the same unit and scope:
# proposed capacity envelope
scope: tenant-and-region-from-console
observed_limit_workspaces: replace-me
reserved_for_recovery: 1
max_trial_workspaces: replace-me
workspace_ttl_minutes: 60
max_builds_per_workspace: replace-me
admit_when:
active_plus_starting_below: replace-me
oldest_queue_seconds_below: replace-me
required_labels: [owner, purpose, created_at, expires_at, cleanup_state]
Compute admissible = observed_limit - active - starting - reserved_for_recovery. Admit only when admissible is positive, all required labels exist, and expected task duration fits before expiry. “Observed limit” must come from the current console or an authorized API response; never copy a number from an old trial.
| Condition | Admission | Operator action |
|---|---|---|
| capacity and TTL fit | accept with workspace ID | schedule expiry immediately |
| limit unknown | reject safely | refresh console evidence |
| queue too old | shed new trials | inspect provisioning bottleneck |
| cleanup backlog nonzero | reserve capacity | run bounded orphan sweep |
| region unavailable | do not redirect silently | re-check permitted regions |
Query orphans before deleting them
Use your platform inventory interface to express this query; the SQL is pseudocode, not a claim about a MonkeyCode API.
SELECT workspace_id, owner, state, created_at, expires_at, last_activity_at
FROM workspace_inventory
WHERE state NOT IN ('DELETED')
AND (expires_at < CURRENT_TIMESTAMP
OR owner IS NULL
OR cleanup_state = 'FAILED')
ORDER BY expires_at ASC;
Runbook: freeze new admissions if orphan count consumes the recovery reserve. Snapshot IDs and states. For each candidate, verify no active build/test/preview operation, request deletion with an idempotency key, poll to terminal state, then check attached previews and temporary identities separately. Retry only documented transient failures with a cap. Escalate unknown ownership or a resource that survives its deletion deadline; never “fix” capacity by removing an unverified active workspace.
The successful path reserves capacity, creates a labeled workspace, runs bounded checks, deletes previews, deletes the workspace, and returns the slot. The failure path stops intake, preserves inventory evidence, attempts idempotent cleanup, and alerts an owner with resource ID and deadline. Exit the trial entirely if quota visibility or deletion confirmation cannot be established.
This envelope does not predict CPU, memory, storage, model concurrency, or provider-side contention. Inventory can be stale, clock skew can misclassify expiry, and deletion may be asynchronous. Measure lag and keep recovery reserve separate from nominal trial capacity. All thresholds above are placeholders and no operational result is claimed.
Operating boundary
MonkeyCode’s current official material calls its overseas hosted option “Free to start,” with integrated models and managed server-side cloud development environments that support building, testing, and previewing. This makes quota-aware admission immediately relevant, while never establishing that every model or server is free. Check the current console at run time for exact model availability, server quotas, regions, duration, future pricing, and terms.
Admit through the official campaign route only after the envelope has room: https://ly.cyberserval.tech/iIETXiF
On shutdown, block fresh intake, drain bounded operations, revoke preview authority, delete workspaces, and reconcile inventory against deletion receipts. Unknown capacity or lingering orphans trigger the exit plan and owner escalation.
Disclosure: This article promotes MonkeyCode using an official campaign link. I’m a MonkeyCode user, not affiliated with the project, and I receive no commission from this link.
AI assistance disclosure: This article was drafted with AI assistance and reviewed against the cited project materials.
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