You think everything is fine until the failover test starts screaming and someone discovers your recovery setup needs manual credentials. The room goes quiet. That is where AWS API Gateway and Zerto start making sense together.
AWS API Gateway gives you controlled, managed access to every microservice and API living inside AWS. It is your front door with a guard, clipboard, and strict guest list. Zerto, on the other hand, keeps your data alive across regions and clouds. It handles continuous replication and instant recovery when something breaks. Combined, they bridge resilience and controlled access, creating a pipeline that keeps traffic flowing even while disaster recovery events unfold.
At its core, the AWS API Gateway Zerto integration manages how replication and automation endpoints are exposed. You use very specific IAM roles and resource policies to make sure only authorized clients invoke recovery APIs. Instead of directly connecting your management scripts to Zerto Virtual Manager, you wrap them behind Gateway resources and Lambda authorizers. Identity, permission, and execution all live under your AWS security model. Zerto just focuses on doing its thing: replicate, move, recover.
How do I connect AWS API Gateway and Zerto?
You start by building a Zerto API client inside a secure VPC or Lambda environment. Then, define Gateway endpoints representing Zerto actions like failover testing or VM recovery. Map requests to Lambda functions that call Zerto’s REST APIs using protected credentials stored in AWS Secrets Manager. Add IAM policies that limit which identities can trigger those functions. The result is a fully auditable, identity-aware bridge between your cloud APIs and disaster recovery logic.
Best Practices for Securing This Setup
Keep RBAC simple, failover fast, and tokens short-lived. Integrate with Okta or any OIDC provider so operators authenticate through known enterprise identity routes. Rotate secrets after every test cycle. Treat your Zerto job creation like infrastructure: version it and deploy with Terraform or CloudFormation.