Control Access to Your Observability

Granular, layer based access control for Open Source Grafana and beyond, delivered as a lightweight proxy.

A standalone proxy-based solution that secures your open-source monitoring and logging dashboards. It sits between your users and your data visualization platform (e.g., Grafana), adding powerful LBAC (Label-Based Access Control) for query and data source without the heavy costs of enterprise licensing.

Traditional enterprise solutions lock advanced access control behind high-cost plans. GIAM offers an affordable, feature-rich alternative that’s easy to deploy and scale.

Key Features

Simple Configuration

• Define rules once, apply them anywhere.
• Assign teams, manage data sources, and control queries at a granular level.

Proxy Based Deployment

• No need to modify Grafana or your data platform.
• GIAM operates as a lightweight middleware, ensuring minimal disruption.

Granular Access Control

• Control who sees logs, metrics, and individual dashboards.
• Enforce queries at the tag/label level for precise data segmentation.

Effortless Scalability

• Works for small DevOps teams and large organizations alike.
• Built to handle high traffic without compromising performance.

Seamless Integration

• Compatible with Docker or Kubernetes deployments.
• Quick setup steps for any environment whether they're on-prem or cloud-based.

Use Cases

Startup DevOps: A lean DevOps team needs to control access to production data for compliance. With GIAM, senior engineers can view critical logs, while junior staff see only masked or non-production data. Customer support is restricted to operational metrics.

Mid-Size Data Team: Data scientists require raw metrics from specific sources, but not everything. GIAM’s per-query filtering allows them to run advanced analytics without exposing sensitive data.

Managed Service Providers: Serving multiple clients on a shared, multi-tenant infrastructure, MSPs can enforce separate LBAC policies for each tenant’s dashboards and logs - instantly isolating data by client without any code changes.

FinTech Startup: can grant its Payments team access to payment-processing logs and metrics, while the Fraud team sees only flagged transactions and risk dashboards - ensuring sensitive data is strictly segregated and visible only to authorized teams.

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