01
Deterministic execution
A seed identifies a repeatable set of choices made during a simulation. SpawnOps is being designed to control execution inputs across the system so a scenario can be replayed with the same ordering and outcomes.
Join the waitlist ↗UNDER THE HOOD
Every scenario has
a way back.
SpawnOps is being built around a simple principle: explore system behavior under controlled faults, and preserve enough state to reproduce the failure that matters.
Join the waitlist ↗system state
→seed + faults
→execution
→invariant check
↻↗
02
Fault models
Introduce controlled network delays, dropped connections, disk errors, process crashes, and clock skew. Combine faults to examine how your system behaves when dependencies are slow, unavailable, or inconsistent.
03
A virtual clock
Advance or skew time inside a run without waiting in real time. This makes timeouts, expiry, leases, scheduled work, and clock-sensitive logic easier to exercise in a reproducible way.
04
Checkpoints and branching
Capture a known execution state, then branch into alternative seeded conditions. Compare outcomes from a shared starting point while preserving the path back to each scenario.
05
Exact replay
When an invariant fails, keep the seed and execution trace with the failure. Replay that scenario to inspect it, make a change, then rerun the same conditions to verify the fix.
i
In development
These pages describe the product direction. Supported platforms, integration details, and availability may change as SpawnOps is built.
Questions? Email us: [email protected]FOLLOW THE BUILD