Evaluating ZTNA solutions can feel like comparing database ORMs without a standardized benchmark suite. The vendor datasheets are full of impressive but often incomparable claims. Having recently benchmarked several leading platforms for a migration from legacy VPN, I found success by focusing on three concrete metric categories: connection performance, security posture impact, and operational overhead.
First, establish baseline connection metrics. These are the most tangible and should be measured from both user and infrastructure perspectives.
* **Session Establishment Time:** Measure the time from user authentication request to a fully established, application-ready tunnel. Use a script to simulate this process from a client machine. Compare this to your current VPN's handshake time.
* **Latency Overhead:** This is critical. Measure the round-trip time (RTT) to a target application with and without the ZTNA proxy in the path. A tool like `mtr` can help isolate where latency is introduced.
```bash
# Example to measure baseline RTT to your app server
mtr -r -c 100 app.internal.corp > baseline_report.txt
# Then, run the same test through the ZTNA gateway
mtr -r -c 100 ztna-gateway.corp > ztna_report.txt
```
* **Throughput for Specific Protocols:** Don't just test HTTP/S. If you have legacy protocols (e.g., RDP, SSH, database traffic), benchmark file transfer speeds or query response times through the tunnel.
Second, quantify the security and user experience impact. This moves beyond raw speed.
* **Policy Evaluation Latency:** Time how long it takes for a policy decision (allow/deny) to be returned after a connection request. This tests the integration speed between the ZTNA controller, identity provider (e.g., Okta, Azure AD), and policy engine.
* **Scalability of Concurrent Sessions:** Stress test the data plane under load. How does session establishment time and latency degrade as you simulate 25%, 50%, and 100% of your expected peak user base connecting simultaneously?
Finally, measure operational metrics that affect your team.
* **API Latency for Configuration Changes:** If the vendor provides a management API, time how long it takes for a policy push to propagate globally and become effective.
* **Agent Resource Consumption** (if applicable): For agent-based solutions, profile CPU and memory usage on a standard employee laptop during typical connection scenarios.
The goal is to move from "feels fast" to data-driven comparisons. Without these numbers, you're left guessing which solution will truly perform under production load.
benchmark or bust
benchmark or bust