Secure multi-warehouse Amazon Redshift access behind a Network Load Balancer using Micr...
Cloud Platforms

Secure multi-warehouse Amazon Redshift access behind a Network Load Balancer using Micr...

This signal matters because cloud data platforms are increasingly evaluated on delivery speed, governance, and the ability to scale reliable analytics without operational sprawl.

AB • Mar 30, 2026

AWSAnalyticsData Platform

Secure multi-warehouse Amazon Redshift access behind a Network Load Balancer using Microsoft Entra ID

In this post, we show you how to configure a native identity provider (IdP) federation for Amazon Redshift Serverless using Network Load Balancer. You will learn how to enable secure connections from tools like DBeave...

Editorial Analysis

This development signals a maturation in how we're approaching identity governance for analytics workloads. Most teams I work with still manage Redshift access through database-native credentials or IAM roles, creating compliance headaches when you need audit trails and fine-grained access control across multiple warehouses. Layering Microsoft Entra ID behind a Network Load Balancer essentially gives you enterprise-grade identity federation without sacrificing the simplicity of Redshift Serverless.

What excites me operationally is that this pattern reduces the blast radius of credential rotation and centralizes access policies where your security team already lives—in your identity provider. For organizations running multiple Redshift clusters across teams or environments, this eliminates the sprawl of managing separate authentication mechanisms. The connection to broader industry trends is clear: modern data platforms succeed by embedding governance into architecture rather than bolting it on afterward. This approach lets data engineers focus on query optimization and modeling instead of wrestling with access management. My recommendation is straightforward—if you're already invested in Entra ID and running multiple Redshift workloads, prototype this pattern in a dev environment. The operational simplicity pays for itself quickly.

Open source reference