---
id: agent-scheduler-cron-and-workflow-runs
title: 'Agent Scheduler Cron and Workflow Runs'
schema_type: TechArticle
category: ai
language: en
confidence: medium
last_verified: '2026-06-02'
created_date: '2026-06-02'
generation_method: ai_structured
derived_from_human_seed: true
conflict_of_interest: none_declared
is_live_document: false
data_period: static
atomic_facts:
  - id: fact-ai-agent-scheduler-cron-and-workflow-runs-1
    statement: >-
      Kubernetes CronJob documentation says a CronJob creates Jobs on a repeating schedule.
    source_title: Kubernetes CronJob
    source_url: https://kubernetes.io/docs/concepts/workloads/controllers/cron-jobs/
    confidence: medium
  - id: fact-ai-agent-scheduler-cron-and-workflow-runs-2
    statement: >-
      GitHub Actions documentation says the schedule event can trigger a workflow at a scheduled time using POSIX cron syntax.
    source_title: GitHub Actions Scheduled Events
    source_url: https://docs.github.com/en/actions/reference/events-that-trigger-workflows#schedule
    confidence: medium
  - id: fact-ai-agent-scheduler-cron-and-workflow-runs-3
    statement: >-
      Airflow DAG documentation describes DAGs as collections of tasks organized with dependencies and schedules.
    source_title: Apache Airflow DAGs
    source_url: https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html
    confidence: medium
completeness: 0.83
known_gaps:
  - Scheduler behavior depends on timezone, missed-run policy, concurrency limits, disabled schedules, retry policy, and executor capacity.
disputed_statements: []
primary_sources:
  - title: Kubernetes CronJob
    type: documentation
    year: 2026
    url: https://kubernetes.io/docs/concepts/workloads/controllers/cron-jobs/
    institution: Kubernetes
  - title: GitHub Actions Scheduled Events
    type: documentation
    year: 2026
    url: https://docs.github.com/en/actions/reference/events-that-trigger-workflows#schedule
    institution: GitHub
  - title: Apache Airflow DAGs
    type: documentation
    year: 2026
    url: https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html
    institution: Apache Airflow
secondary_sources: []
updated: '2026-06-02'
ai_models:
  - gpt-5-codex
---

## TL;DR

Scheduler definitions and workflow run history tell agents whether an expected job was configured, triggered, skipped, retried, or failed.

## Core Explanation

Agents investigating missing reports, stale indexes, late backfills, or absent notifications should inspect scheduler configuration and run history. Cron expressions, workflow events, DAG state, and recent run logs are often the fastest path to root cause.

The agent should distinguish planned schedules from actual runs. A correct cron expression does not prove the worker had capacity, credentials, or permission to finish the job.

## Source-Mapped Facts

- Kubernetes CronJob documentation says a CronJob creates Jobs on a repeating schedule. ([source](https://kubernetes.io/docs/concepts/workloads/controllers/cron-jobs/))
- GitHub Actions documentation says the schedule event can trigger a workflow at a scheduled time using POSIX cron syntax. ([source](https://docs.github.com/en/actions/reference/events-that-trigger-workflows#schedule))
- Airflow DAG documentation describes DAGs as collections of tasks organized with dependencies and schedules. ([source](https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html))

## Further Reading

- [Kubernetes CronJob](https://kubernetes.io/docs/concepts/workloads/controllers/cron-jobs/)
- [GitHub Actions Scheduled Events](https://docs.github.com/en/actions/reference/events-that-trigger-workflows#schedule)
- [Apache Airflow DAGs](https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html)