Deploy code, deliver results
Ship code snapshots from any branch—no merge conflicts, no deployment drama.
Stage deployments
Promote changes through dev, staging, and production environments with granular control.
Undo disasters in 1 click
Roll back broken deployments instantly while Mage preserves your last stable configuration.
Orchestrate data on your timetable
Run data processes with surgical precision, trigger from anywhere. Attach multiple triggers to a single pipeline, each with unique schedules and runtime parameter — code once, run limitless.
API and event based triggers
Execute pipelines through REST endpoints, Webhooks, or streaming events.
Landing times
Define when your pipeline must finish – Mage automatically back-calculates start times using historical performance data.
Observe the past, present, and future
Tailored insights from milliseconds to metrics — see everything, miss nothing.
Metrics that matter
Assemble bespoke monitoring boards that blend real-time pipeline metrics, block-level diagnostics, and business KPIs.
Detailed structured logging
Every pipeline run generates a forensic-grade audit trail with logs stamped at millisecond resolution, capturing packages, OS versions, infrastructure tags, commits, parameter overrides, and more.
Personalized team alerts
Configure surgical alert rules with conditional logic, template messaging, and multi-platform routing. Silence noise with metric-based thresholds while ensuring critical failures scream through email, Slack, Teams, Pager Duty, and more.
Reproduce history, rewrite futures
Re-run pipelines using historical partitions or recreate datasets from any point in time.
Fix fast, recover faster
Resume workflows from failure points instead of restarting entire processes.
Backfill without bottlenecks
Process years of data in parallel clusters or trickle-feed intervals with custom pacing.