Multi-Cloud Cron Scheduling
One scheduler across AWS, GCP, Azure, and your private clouds. Stop maintaining three job catalogs and start orchestrating workflows the way they actually run — across clouds, with one source of truth.
Per-Cloud Schedulers Don't Compose
Each cloud ships its own scheduler. Teams running on more than one end up with one of these problems.
Three clouds, three schedulers
EventBridge for AWS, Cloud Scheduler for GCP, Azure Logic Apps. Each has its own UI, IAM, and pricing model. Engineers context-switch all day.
Cross-cloud jobs are hacks
Sync data from S3 to BigQuery? You glue together a Lambda, a Function, and a workflow. No single owner, no single log.
Drift between environments
Your prod schedule lives in five places. Staging is missing two jobs. No one can answer “what runs at 02:00 UTC” without grep-ing five consoles.
Compliance audits are painful
Pulling execution history across clouds for SOC 2 evidence means CSV exports, timestamp normalization, and a lot of pivot tables.
Cloud-Agnostic by Design
One schedule, every cloud
Define jobs once. Target any compute that accepts SSH or HTTP — EC2, GCE, Azure VMs, on-prem boxes — through the same dashboard.
Cross-cloud dependency chains
Trigger a BigQuery export job only after the upstream RDS dump succeeds, regardless of which cloud each runs on.
Unified execution history
Every run, every cloud, one timeline. Filter by tag, environment, status. Export audit-ready evidence with one click.
Single IAM, single secret store
Manage credentials for all clouds in one encrypted vault. RBAC scoped per workspace, per environment, per cloud.
Cloud-agnostic alerting
Slack, email, webhook alerts that don't care whether the failing job ran in AWS or your Mumbai data center.
No per-cloud lock-in
Migrate workloads between clouds without rewriting schedules. The control plane stays the same.
What Cloud Teams Run on Krons24
Cross-cloud data sync
RDS → S3 → BigQuery → Snowflake pipelines orchestrated as a single workflow with proper failure isolation and retry policy.
Multi-region disaster recovery
Coordinate snapshot, replication, and failover drills across us-east-1, eu-west-2, and ap-south-1 from one runbook.
Cost optimization sweeps
Scheduled audits that scan idle resources across AWS, GCP, and Azure — flag, alert, and auto-tag anything matching cleanup policy.
Hybrid on-prem + cloud workflows
Trigger an on-prem ETL after a cloud pipeline finishes — and vice versa. No glue Lambdas, no homegrown queue.
One Scheduler. Every Cloud.
Self-deploy in five minutes. Connect your first cloud target in another two. Free 14-day trial — no per-cloud markup.