Cloud SQL Auth Proxy
A utility for connecting securely to your Cloud SQL instances - GitHub - GoogleCloudPlatform/cloud-sql-proxy: A utility for connecting securely to your Cloud SQL instances.
A utility for connecting securely to your Cloud SQL instances - GitHub - GoogleCloudPlatform/cloud-sql-proxy: A utility for connecting securely to your Cloud SQL instances.
This page is designed to help you find out whether Cloud SQL Auth Proxy is good and if it is the right choice for you.
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Secure connections without public IPs
Cloud SQL Auth Proxy allows you to connect to Cloud SQL instances without needing to whitelist IP addresses or expose your database with a public IP. It creates an encrypted tunnel using TLS 1.3, ensuring secure communication between your application and the database without managing SSL certificates manually.
Automatic IAM-based authentication
The proxy leverages Google Cloud IAM for authorization, meaning you don't need to manage database credentials in environment variables or config files for the connection layer. It uses service account credentials or application default credentials to authenticate, simplifying secrets management.
Easy integration with GKE and Cloud Run
Cloud SQL Auth Proxy is designed to work seamlessly as a sidecar container in Kubernetes (GKE) pods or alongside Cloud Run services. Google provides official container images and Helm charts, making deployment in containerized environments straightforward and well-documented.
Connection pooling and health checks
The proxy supports built-in health check endpoints (startup, readiness, and liveness) which integrate well with orchestration platforms. It also handles connection management gracefully, including automatic reconnection and the ability to limit the maximum number of connections to protect the database.
Open source and actively maintained
The proxy is open source under the Apache 2.0 license and is actively maintained by Google Cloud Platform. It is written in Go, has a well-structured codebase, regular releases, and supports multiple platforms (Linux, macOS, Windows), giving users transparency and confidence in the tool.
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