AWS-native services are designed to be modular and can integrate with third-party solutions via standard APIs, VPC peering, IAM roles, and event-driven architectures. With Zilliz Cloud, for instance, you can use RESTful or gRPC APIs to interact with the database and integrate it into your application pipeline. You can generate embeddings with a model hosted on Amazon SageMaker, then push the vectors into Zilliz Cloud for indexing and search.
Zilliz Cloud deployments on AWS can be set up within a VPC to ensure secure and low-latency connections to other AWS services. For example, if your data pipeline uses Amazon Kinesis or AWS Lambda for ingesting user actions or logs, you can route preprocessed data into Zilliz Cloud in real time. Similarly, results from a vector search can trigger downstream actions through EventBridge, Step Functions, or custom application logic deployed on ECS or EKS.
Moreover, services like Amazon CloudWatch and AWS CloudTrail can be configured to monitor and audit third-party database usage, helping teams maintain operational oversight. You can also use AWS Identity and Access Management (IAM) to control access to connected services and resources. This level of integration allows teams to keep their existing AWS-based architecture while adding specialized vector search capabilities from tools like Zilliz Cloud. It’s a flexible setup that fits well within cloud-native environments.