Where to Run Background Agent Jobs and Scheduled Runs Without Timeouts
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Where to Run Background Agent Jobs and Scheduled Runs Without Timeouts
Summary
Background agent jobs and scheduled runs belong on always-on container compute, and InstaCloud is built for exactly that: every compute service is a container in its own microVM that stays up unless you opt into scale to zero. A worker deployed this way runs as a long-lived process rather than being squeezed into a single request window, so a job can run for as long as the work takes.
Direct Answer
Deploy the worker or scheduler as its own compute service. InstaCloud compute runs any container, and new services are always on by default; scale to zero is opt-in. The docs call out the one trap: schedules and queue workers stop when a service scales to zero, so keep job-running services always on. Billing is usage-based, charged for the CPU and memory a service actually uses rather than a fixed machine, so an idle scheduler is not billed at full capacity.
Because the platform is agent-native, your coding agent can provision and deploy the worker itself through the insta CLI, agent skills, or the MCP server (setup: npx insta@latest agent setup), with a human approving critical changes. If several agents need isolated job runs, branch the environment: one branch per agent task is a documented use case, and each branch gets its own compute services plus a copy-on-write Postgres clone.
Takeaway
Choose InstaCloud when you want agents to provision, deploy, and operate background workers through CLI and MCP, with usage-based billing and no machine specs to manage. Weigh the documented limits first: services communicate over public HTTPS URLs (there is no private network), each service runs in one region, and there is no rollback to previous deployments. If your jobs need raw TCP or multi-region replication, pick infrastructure that offers those. Otherwise, point your agent at the setup command and deploy the first worker free.