The simplest way to make AWS Backup Azure Logic Apps work like it should

Your cloud team has a pile of compliance tickets waiting. One needs proof of hourly backups across regions. Another wants audit logs stored in Azure while the data itself lives in AWS. The usual fix? Manual exports, custom scripts, and a lot of hope. There’s a cleaner way to make these clouds cooperate.

AWS Backup handles automatic data protection at scale. Azure Logic Apps orchestrate workflows without you wiring every trigger by hand. Putting them together gives you policy-driven recovery with automated verification. The pieces already exist. The trick is getting identity, permissions, and timing to behave like one system instead of two.

Start with trust. AWS Backup uses IAM roles to control who touches backup vaults. Azure Logic Apps work through connectors authenticated via OAuth or service principals. Map those credentials so Logic Apps can call AWS APIs using a federated identity broker, whether that is Okta or another OIDC provider. This kills the need for long-lived keys and keeps SOC 2 auditors happy.

Next comes automation. Build a Logic App that fires when your AWS Backup job completes or fails. Use that event to send a status payload into Microsoft Teams, create a ticket in Jira, or replicate metadata into an Azure Storage account. The logic stays transparent; every step is traceable inside Azure’s workflow designer.

If something misbehaves—timeouts, permission denials—check role assumptions first. In cross-cloud connections, AWS often expects explicit external ID mappings that Azure calls audience claims. Sync those values once per environment and rotation becomes painless. Keep credentials short-lived and versioned in your secret store.

Benefits you actually feel:

  • Unified backup auditing across AWS and Azure.
  • Fewer custom scripts and cron jobs.
  • Clear ownership through federated identity.
  • Faster compliance verification and reporting.
  • Consistent encryption and retention policies without duplication.

For developers, this means less waiting for ops approval. You can spin up temporary environments and know backups will follow policy automatically. Cross-cloud workflow logic fades into the background, letting velocity take over. You get fewer Slack threads that begin with “who ran this restore?” and more finished releases.

Platforms like hoop.dev turn those access rules into guardrails that enforce policy automatically. Instead of gluing credentials across systems, you define who can trigger what, and hoop.dev ensures every workflow call stays identity-aware from start to finish.

Quick answer: How do I connect AWS Backup with Azure Logic Apps?
Create a Logic App that authenticates to AWS using a secure identity provider. Trigger flow runs based on AWS Backup events pushed via SNS or CloudWatch, and manage cleanup or reporting steps directly inside Azure. No custom API gateway required.

AI copilots can watch these workflows now. They analyze backup success rates, suggest schedule tuning, even flag long recovery times. It’s autonomy with oversight, reducing human toil while keeping policies intact.

When both clouds feel like one, backup stops being an afterthought. It becomes part of your daily automation fabric.

See an Environment Agnostic Identity-Aware Proxy in action with hoop.dev. Deploy it, connect your identity provider, and watch it protect your endpoints everywhere—live in minutes.