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Batch Jobs

Run batch jobs, cron jobs, and event-driven workloads on demand. Per-second billing, custom containers, and full observability.

At a Glance

< 30 secStart Time
Per-secondBilling
Custom containersRuntime
IncludedEgress

Job Types

Every workload pattern covered

Cron Jobs

Scheduled on cron expressions. Timezone aware. Retry policies. Missed runs catch-up option.

On-Demand

Trigger via API, CLI, or webhook. Pass payload as env vars. Immediate or delayed execution.

Event-Driven

Trigger on storage events, webhooks, DB changes, or custom events. Payload injected as environment variables.

Features

Built for production batch workloads

Custom Containers

Any Docker image. GPU support. Private registry. Any language.

Parallelism

Run N replicas. Auto-scale on queue depth. Resource limits per job.

Artifacts

Output uploaded to object storage. Signed URLs. Retention policies.

Secrets

Inject secrets as env vars or files. Vault integration. Rotation.

Retries & Timeouts

Exponential backoff. Max retries. Per-step and job-level timeouts.

Zero Egress

All traffic included. Logs, artifacts, API calls. No per-GB charges.

How It Works

From container to completed job in seconds.

1
Define Job
Container image, command, resources, schedule/trigger
2
Submit / Schedule
API call, cron schedule, or event trigger configured
3
Execute & Monitor
Container runs, logs streamed, artifacts uploaded

Your Code, Your Infrastructure

Any container, any language, any dependencies. GPU support for ML batch jobs. Your code runs on our infrastructure — you control the code, we handle the infrastructure.

And when you need help, our engineers are a Slack message away.

Run Your Workloads on Demand

Per-second billing. Custom containers. Full observability. Zero egress.