Apiome Scheduler
One dependency-aware hub for every data-loading job across the suite.
Apiome Scheduler is the central job dependency and cron orchestration hub for the whole platform — Forge pipeline runs, Bulk loader jobs, CDC backfills, Stream window flushes, and Reverse ETL syncs. Build inter-job dependencies on a visual DAG canvas, then track SLAs, on-call escalations, capacity contention, and P50/P95/P99 duration trends from one place.
What ships with Scheduler
Every Scheduler surface is wired into the rest of the Apiome platform — no glue code, no separate identity, no bolt-on integrations.
Visual dependency DAG
Drag-and-drop canvas for defining inter-job dependencies across Forge, Bulk, CDC, Stream, and Reverse ETL jobs.
Cron & event triggers
A schedule editor for cron expressions, event triggers, timezones, overlap and backfill policy, and concurrency.
SLA tracking
Per-job SLA targets with breach rate, at-risk detection, and P50/P95 duration baselines over the last 30 days.
On-call escalation
Tiered warning → critical → page policies routing to PagerDuty, Slack, or email with configurable delay windows.
Capacity heatmap
An hour-of-day by day-of-week executor-slot utilization view to find contention peaks and stagger overlapping jobs.
Run history & retries
A Gantt run timeline with percentile trends, per-run logs, retry history, and manual trigger controls.
A look inside Apiome Scheduler
Live design previews from the Scheduler mockup pack — 8 surfaces in total.
Configure cron expressions, event triggers, timezone, overlap and backfill policies, and concurrency limits per job.
Per-job breach rate, time-to-complete versus target, breach history, and at-risk jobs from live duration trends.
Gantt-style run history with P50/P95/P99 duration percentile trend lines to spot regressions at a glance.
Use cases
Scheduler is designed around the way real teams actually work — not the way a tool wants them to work.
Chain a nightly refresh of CDC backfills, bulk loads, rollups, and CRM syncs into one dependency graph.
Catch at-risk jobs before they breach SLA and route pages through tiered escalation policies.
Spot duration regressions across runs with P50/P95/P99 percentile trend lines.
- Cross-suite DAG spanning Forge, Bulk, CDC, Stream, and Reverse ETL
- Per-tenant SLA targets with breach-rate reporting
- PagerDuty escalation routing with tiered delay windows
- Executor capacity planning via contention heatmaps
- Temporal-backed workflow durability and retry policies
- Predict run duration and SLA-breach risk per job
- Recommend cron windows that avoid executor contention
- Explain why a run regressed against its baseline
- Suggest dependency edges from observed job order
AI that keeps your pipelines on schedule
Scheduler's AI forecasts run durations, flags jobs likely to miss SLA, and recommends how to stagger overlapping work before contention hits.
Every SchedulerAI 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 Scheduler
A look at the 8 screens designed for this suite — covering everything from day-1 onboarding to day-100 operations.
