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AWS

Securing Amazon Quick Data Paths with AWS PrivateLink

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Amazon Quick can now reach on‑premises data sources through AWS PrivateLink, eliminating public‑internet hops. This reduces exposure, satisfies compliance mandates, and delivers more predictable latency for AI‑driven workloads.

Amazon Quick’s data‑fetching layer can now be wired to on‑premises resources via AWS PrivateLink, keeping all traffic on the AWS backbone instead of the public internet. Engineers responsible for AI pipelines, platform reliability, or security should care because the change directly impacts attack surface, auditability, and performance of production‑grade analytics.

Why PrivateLink Matters for Quick

Regulatory regimes such as HIPAA, FedRAMP, and PCI‑DSS often require that sensitive data never traverse the public internet. By routing Quick’s data‑fetching traffic through PrivateLink, organizations gain a network path that is confined to the AWS private network and any existing Direct Connect or Site‑to‑Site VPN link to the data center. The result is a single, auditable flow that satisfies compliance requirements while avoiding the latency spikes associated with internet routing.

Architecture and Implementation

The solution builds on two distinct connectivity mechanisms:

  • VPC endpoints (AWS PrivateLink) – expose Quick’s user‑facing services (console, API, Quick Desktop) inside a VPC, ensuring that end‑user sessions never leave the private network.
  • VPC connections – allow Quick’s backend components (Quick Sight, Flows, Automate, Agents, Research, and Apps) to reach databases, Redshift, or internal APIs that reside in the same VPC or are reachable via the on‑premises link.

Implementation proceeds in four logical steps:

  1. Confirm an active Direct Connect or Site‑to‑Site VPN tunnel between the on‑premises environment and the target VPC.
  2. Create interface VPC endpoints for the Quick service endpoints that handle user traffic. Attach security groups that restrict inbound sources to the corporate CIDR range.
  3. Define VPC endpoint policies that limit the Quick service to the required actions (e.g., quick:Describe*, quick:Execute*) and bind them to the same security groups.
  4. Within the Quick console, configure VPC connections for each data source. Supported sources include on‑premises PostgreSQL, MySQL, SQL Server, Oracle, and Amazon Redshift. For S3 buckets, apply a bucket policy that permits access only from the VPC endpoint.

Note that certain SaaS connectors (Confluence, SharePoint, Box, Google Drive, OneDrive) are not currently reachable via a VPC connection; they continue to use the public internet path.

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What This Means For Practitioners

Adopting PrivateLink for Quick introduces a clear separation between user‑facing and data‑fetching traffic, each protected by dedicated security groups and endpoint policies. Teams should audit existing Quick data sources, verify that required VPC connections are enabled, and ensure that security groups are as restrictive as possible. Ongoing monitoring should focus on endpoint policy compliance and VPC flow logs to maintain an audit trail. The architecture also simplifies latency budgeting, as all traffic now follows a predictable path over the AWS backbone and the existing Direct Connect or VPN link.

Originally published atAWS Machine Learning Blog