Automation

Orchestrate Everything.
Jobs. Sequences. Runs. On Schedule.

Automation Hub operationalizes your entire AI stack — scheduling jobs, chaining sequences, auditing every run, and enforcing workspace-wide execution policies. Automatically.

6 Views

Calendar · Jobs · Sequences · Runs · Analytics · Settings

99.8%

Reliability across all automated runs

Full Stack

From queries to models to reports

Automation Hub

Operationalize intelligence: when, how, and under what constraints.

24

Active

12

Scheduled

8

Running

156

Runs

Automation Calendar

February 2026

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Quick Actions

The Operating Layer for Your Entire AI Stack.

Automation Hub is the execution engine behind RiverGen. Every job, pipeline, and model run is tracked, scheduled, and governed here — end to end.

Schedule any asset: queries, models, pipelines, or reports

Chain jobs into multi-step sequences with dependencies

Enforce workspace-wide retry, concurrency, and retention policies

Run once. Run everywhere. Run reliably.

From a one-off report to a 24/7 ML inference pipeline, Automation Hub handles scheduling complexity so your team handles strategy.

Cron, manual, event-based, and sequence triggers

Immutable run audit logs with error traces

99.8% reliability with exponential backoff retry

Everything You Need to Orchestrate at Scale

Six purpose-built views. One unified hub.

Calendar

See Your Entire Schedule at a Glance

A month-by-month calendar showing all scheduled jobs and future executions. Color-coded by job type for instant visual parsing.

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Logic
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Report
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Sync
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Exec
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Report
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Logic
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Logic
Best for: Schedule planning & capacity visibility
Jobs

Create, Monitor & Execute Every Job

View all 24 jobs with live status, sync progress bars, last/next run timestamps, avg latency, and one-click EXECUTE buttons.

Initial Data Sync

ACTIVE

Last: 2m ago

Next: 3m

Avg: 2.3s

System Diagnostics

PENDING

Last: 2m ago

Next: 3m

Avg: 2.3s

Nightly Backup

PAUSED

Last: 2m ago

Next: 3m

Avg: 2.3s

Best for: Day-to-day job operations
Sequences

Chain Jobs into Multi-Step Workflows

Build complex pipelines by linking jobs in sequence with dependencies. Monitor multi-step progress and trigger conditions in one view.

Data Processing Pipeline

ACTIVE

5 jobs • Automatic • Last run 2h ago

Nightly Database Backup

PAUSED

3 jobs • Automatic • Last run 1 day ago

Best for: ETL pipelines & multi-model workflows
Runs

Immutable Audit Log of Every Execution

The ground truth for all automated runs. Live status, node assignment, priority level, duration, and inline error traces with root cause details.

Daily Revenue Sync

Primary-Node-01

EXECUTING

00:02:34

Customer Data Patch

Edge-Node-04

TIMED OUT

00:01:15

Weekly Analytics Export

Batch-Worker-09

VERIFIED

00:12:05

Best for: Debugging, compliance & SLA monitoring
Analytics

30-Day Execution Intelligence

Track total runs, success rate, average duration, and failure count. Identify your most-run and longest-running jobs with visual breakdowns.

1,247

+12%

Total Runs

94.5%

+2.2%

Success Rate

2.4s

-7%

Avg Time

68

+4

Failures

Success 94.5%Failed 5.5%
Best for: Performance optimization & reporting
Settings

Workspace-Wide Execution Policies

Configure global constraints: timezone, max concurrent runs, retry logic with exponential backoff, and governance retention rules.

Temporal

America/New_York (EST)

Concurrency

Max 5 concurrent runs

Retry

3 retries • 5 min delay • Backoff ON

Retention

30 days • Strict Governance ON

Best for: Platform admins & compliance teams

24 Jobs. Every Status. One Panel.

Create scheduled, manual, or sequence-triggered jobs. Monitor sync progress, latency, and next run time — then execute with one click.

Cron expressions, manual triggers, and sequence chains

Live sync progress with percentage bars

Last run, next run, and average latency per job

VIEW LOGS and EXECUTE inline — no navigation required

View All Jobs

View Jobs

Job NameTypeStatusTriggerLast RunNext RunDurationOwnerActions
Data ETL PipelineScheduledRunning*/6 * * * *2 min agoIn 5h 58m12m 34sAlex M.View • Edit • Delete
ML Model TrainingManualScheduledManual Trigger1h agoTomorrow 9AM45m 12sSarah K.View • Edit • Delete
Report GenerationSequenceFailed0 0 * * 13h agoNext Monday2m 15sMike T.View • Edit • Delete
Email NotificationScheduledCompleted0 8 * * *5h agoTomorrow 8AM1m 03sEmma L.View • Edit • Delete
Backup DatabaseScheduledCompleted0 2 * * *8h agoTomorrow 2AM18m 42sJohn D.View • Edit • Delete
Showing 1–6 of 24 jobs1 2 3 4 →

Execution Truth. Not Just Logs.

Every run is immutably recorded with node assignment, priority, duration, error trace, and verification status — so nothing is ever lost.

03

Live

Active

02

-12%

Failed

1.2k

+5%

Throughput

99.8%

High

Reliability

Daily Revenue Sync

ID: RVS-N21-1 | 2 min ago • Primary-Node-01 • Priority: High

EXECUTING

Duration: 00:02:34

Customer Data Patch

ID: CDP-E531-0 | 1h ago • Edge-Node-04 • Priority: Normal

TIMED OUT

Duration: 00:01:15

Execution timed out while waiting for external API response (RW-FAST-1).

Weekly Analytics Export

ID: WAE-N312-E | 3h ago • Batch-Worker-09 • Priority: Low

VERIFIED

Duration: 00:12:05

Model retraining v2.1

ID: MRT-168-A | 5h ago • CPU-Cluster-A • Priority: Urgent

QUEUE

Duration: 00:08:42

Resource quota exceeded: 16 GPUs allowed, 18 in use. Auto-retry scheduled for high-cost jobs

Legacy Log Ingestion

ID: LLI-192-1 | 1 day ago • Legacy-Proxy-01 • Priority: Normal

DATA ERROR

Duration: 02:14:10

Schema mismatch found in row 1,602,391. Expected INT64, received String.

30-Day Execution Trends

Track total run volume over time with a live sparkline chart. Spot traffic spikes and capacity gaps before they hit SLAs.

Most Executed Jobs

See which jobs run most often. Optimize scheduling frequency and resource allocation based on real usage data.

Longest Duration Jobs

Identify performance bottlenecks by duration. Every second visible across long-running jobs.

Success vs Failure Rate

A single bar: 94.5% green, 5.5% red. Instant health check for your entire automation layer.

Analytics

Last 30 days

1,247

+12%

Total Runs

94.5%

+2.2%

Success Rate

2.4s

-7%

Avg Time

68

+4

Failures

Execution Trends

Day 1 → Day 30

Most Executed Jobs

Daily Report248
Data Sync219
User Cleanup185
Invoice Generation167
Nightly Backup104

Longest Duration

Video Processing9:23
ML Model Training12:45
Data Warehouse ETL5:51
PDF Export3:28
API Aggregation6:04

Execution Status

Success 1,179Failed 68

6

Views across the hub

99.8%

Automation reliability

156

Total runs in current workspace

24/7

Always-on scheduled execution

Automate Everything. Miss Nothing.

Automation Hub schedules, sequences, audits, and governs every operation across your RiverGen platform — automatically.