The first time you try to performance‑test an internal app behind Zscaler, everything grinds to a halt. Gatling can hit endpoints at scale, but Zscaler’s identity layer checks stop the flood before it starts. The challenge is obvious: how to run repeatable load tests without punching holes in your security perimeter.
Gatling is your go‑to load testing engine, built to simulate thousands of users with realistic traffic profiles. Zscaler acts as the identity‑aware proxy, inspecting and gating every request based on who’s behind it. Together, they safeguard velocity. Done right, Gatling and Zscaler let you model production traffic safely behind the guardrails your security team demands.
The key is identity. Every Gatling test user must present valid credentials accepted by Zscaler’s cloud. Instead of hard‑coding tokens, you federate via your IdP—Okta, Azure AD, or another OIDC provider—so test sessions get short‑lived access just like real users. Zscaler enforces posture checks and policy rules, and Gatling simply reuses those sessions when blasting traffic.
When configuring this setup, think in terms of trust boundaries. Gatling nodes authenticate with an identity provider once, retrieve ephemeral tokens, and then trigger workloads routed through Zscaler’s tunnels. You maintain audit‑grade visibility without granting permanent keys or bypass rules. It’s load testing that your compliance officer can actually sleep through.
If traffic starts failing authentication mid‑run, rotate tokens automatically. Keep refresh intervals shorter than test durations. Cache cookies responsibly; never persist them across test sets. And map role‑based access control (RBAC) so Gatling scripts reflect real user privileges instead of bypassing them.
The payoffs are immediate:
- Run high‑volume Gatling tests inside private networks without disabling Zscaler policies.
- Test zero‑trust enforcement under heavy load conditions.
- Eliminate shared credentials using OIDC‑based ephemeral tokens.
- Preserve audit trails for every synthetic request.
- Reduce the time security spends reviewing exceptions or temporary bypasses.
For developers, this integration removes friction. You no longer wait days for “test environment” exemptions. Scripts execute through the same identity stack as production, keeping security and dev in sync. Developer velocity improves because the guardrails are code, not tickets.
Platforms like hoop.dev turn those access rules into guardrails that enforce policy automatically. Instead of manual token juggling, hoop.dev can inject identity context into Gatling runs while Zscaler handles inspection. You get speed, safety, and visibility, all flowing through the same identity layer.
How do I connect Gatling and Zscaler?
Authenticate Gatling agents through your configured IdP, route their traffic through Zscaler’s cloud connector, and validate that tokens refresh within your test cycle. This ensures your load tests mirror real production access paths.
Does Zscaler throttle or block automated Gatling traffic?
By default, yes, if it lacks valid identity or device posture data. Supplying proper credentials and routing through approved connectors keeps the test traffic legitimate and measurable.
Gatling Zscaler integration makes zero‑trust testing practical. It trades shortcuts for repeatability, and manual approvals for policy‑based automation.
See an Environment Agnostic Identity-Aware Proxy in action with hoop.dev. Deploy it, connect your identity provider, and watch it protect your endpoints everywhere—live in minutes.