Features

Reliable background jobs, simplified.

CronFlow handles scheduling, execution, and monitoring at scale. From daily data pipelines to complex microservice orchestration, our platform keeps your workloads running on time, every time.

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Core Capabilities

Execution

Auto-scaling Workers

Dynamically provision up to 500 concurrent workers based on queue depth. Automatically spins down idle instances after 5 minutes of inactivity to optimize cloud spend.

Reliability

Exponential Retry Logic

Configure custom backoff strategies with jitter. Default policy attempts re-execution up to 8 times over a 4-hour window before routing failures to your designated dead-letter queue.

Observability

Real-time Logs & Traces

Stream stdout/stderr directly to your dashboard with sub-second latency. Correlate job runs with distributed trace IDs across your entire event-driven architecture.

Orchestration

Distributed Execution

Run scheduled tasks across multiple AWS regions or GCP zones. Leader election and distributed locking prevent duplicate executions during network partitions.

Monitoring

SLA Breach Alerts

Define strict execution windows and latency thresholds. Get instant notifications via PagerDuty, Slack, or email when jobs miss their 99.9% uptime guarantee.

Integration

Webhook & API Triggers

Kick off complex workflows from external systems using our REST API or HTTP webhooks. Supports OAuth2, mTLS, and IP allow-listing for enterprise security.

Advanced Workflows

Scheduling

Cron Expression Parser

Supports standard 5-field and 6-field cron syntax, plus human-readable aliases like @hourly and @every 45m. Visual editor validates expressions before deployment.

Explore Scheduling →
Failure Handling

Dead Letter Queues

Isolate poisoned jobs that fail repeatedly. Inspect payload, environment variables, and stack traces in the DLQ dashboard. Replay or permanently archive with one click.

View DLQ Docs →
Resilience

Multi-region Failover

Automatically route pending jobs to secondary regions if primary infrastructure experiences degradation. Maintains exactly-once semantics across geographic boundaries.

Learn About Failover →