Apiome Temporal
Fault-tolerant orchestration for long-running data jobs that survive failure.
Apiome Temporal is fault-tolerant workflow orchestration for long-running data jobs, backed by Temporal.io. It runs the full extract → validate → transform → load → verify lifecycle with saga patterns and compensating transactions, so multi-step ETL pipelines survive process restarts, infrastructure failures, and region outages.
What ships with Temporal
Every Temporal surface is wired into the rest of the Apiome platform — no glue code, no separate identity, no bolt-on integrations.
Visual workflow designer
Drag activities, child workflows, signals, and timer guards onto a DAG canvas and deploy versioned workflow definitions.
Saga compensation
Model compensating transactions so a failed step rolls back completed activities in reverse order, with a live viewer.
Per-run inspection
Trace any run's retry timeline, heartbeat status, activity durations, and input/output payloads.
Deterministic event history
Every activity event is recorded for deterministic replay, making failed workflows reproducible for debugging.
Real-time activity monitor
Watch throughput, latency percentiles, retry rate, and heartbeat liveness across all running instances.
Workers & schedules
Manage worker pools with concurrency and heartbeat limits, and drive workflows on cron or event triggers with backfill.
A look inside Apiome Temporal
Live design previews from the Temporal mockup pack — 8 surfaces in total.
Single-run view with retry timeline, heartbeat status, activity durations, and input/output payload inspection.
Saga viewer visualizing the forward path and live rollback as compensation activities fire in reverse order.
Real-time activity monitor with per-activity throughput, latency percentiles, retry rate, and heartbeat liveness.
Use cases
Temporal is designed around the way real teams actually work — not the way a tool wants them to work.
Run multi-step ETL that resumes exactly where it stopped after a worker crash or region outage.
Guarantee that partial loads unwind cleanly through saga compensation instead of leaving corrupt state.
Schedule recurring pipelines with timezone-aware cron, backfill policies, and next-run previews.
- Per-tenant namespaces with isolated worker pools and task queues
- Configurable retry policies, heartbeat timeouts, and concurrency limits
- Deterministic replay of full event history for audit and debugging
- Saga-based compensation for guaranteed multi-step consistency
- Region-failure resilience for pipelines that must not lose progress
- Explain the root cause of a failed run from its deterministic event history
- Suggest retry policies and heartbeat timeouts from observed activity behavior
- Recommend saga compensation steps for new activities in the designer
- Right-size worker pool concurrency from throughput and lag trends
Failure diagnosis and workflow tuning, assisted
Temporal analyzes event history and retry patterns to explain why a workflow failed, then recommends compensation paths, retry policies, and worker sizing to keep long-running jobs healthy.
Every TemporalAI feature is grounded in your tenant's data, runs under your data-residency policy, and respects every role and ACL the platform enforces.
Every surface in Apiome Temporal
A look at the 8 screens designed for this suite — covering everything from day-1 onboarding to day-100 operations.
