You open your logs dashboard, ready to trace a slow request from production. Two minutes later you realize the problem isn’t latency, it’s access. VPN tokens expired, tunnel closed, and you are locked out of the very data that could tell you what went wrong. That’s where New Relic and Zscaler finally make sense together.
New Relic gives visibility. It tells you what’s happening inside your apps, containers, and functions across AWS or GCP. Zscaler controls who can see those insights and from where. Together, they map the messy edges between performance monitoring and secure connectivity. The goal isn’t just speed; it’s assurance that every metric request comes from an identity you trust.
Here’s the workflow. Zscaler acts as an identity-aware access layer using your existing IdP, usually Okta or Azure AD, to verify user credentials. Every outbound query or inbound dashboard hit routes through its proxy, checked against role-based policies that match your RBAC setup. Once authenticated, the traffic enters New Relic where telemetry is captured and correlated. The loop completes with audit-grade visibility—every query has a verified identity trail.
If you are wiring New Relic Zscaler integration for the first time, think in terms of policies, not ports. Start with least-privilege groups in your IdP, map them to read-only or admin roles inside New Relic, and let Zscaler enforce transport rules automatically. Rotate API keys quarterly. Keep OIDC tokens short-lived. If an error arises, it’s almost always RBAC mismapping or stale session keys, not network failure.
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To connect New Relic and Zscaler, integrate your identity provider through Zscaler’s zero-trust proxy, map roles to New Relic permissions, then route observability traffic through Zscaler’s secure edge. This ensures telemetry access is authenticated and compliant across distributed environments.