Complete newbie here - where do I start with zero-trust for our 20-person startup?

I've spent the last quarter benchmarking various zero-trust network access (ZTNA) solutions for a client with a similar scale, and I can state with empirical certainty that the initial configuration and subsequent performance overhead are the primary determinants of long-term adoption success. For a 20-person startup, your primary vectors for evaluation should be: the latency added to daily workflows (especially for developers accessing internal staging environments), the administrative burden measured in time-to-secure a new resource, and the all-in cost per protected user per month when considering compute overhead.

Given your stated starting point, I recommend a structured, benchmark-driven approach rather than a purely feature-checklist one. My methodology typically involves the following phases:

* **Phase 1: Baseline Establishment.**
* Document every current method of accessing internal resources (e.g., `company-db.internal:5432`, `staging-app.local`, Samba shares). Categorize them by protocol (SSH, RDP, HTTP/S, raw TCP/UDP).
* For key resources, establish a performance baseline. Use a simple tool like `curl` for HTTP or `iperf3` for network throughput, and record the latency and bandwidth from a typical remote worker location. This data is your control group.
```bash
# Example baseline latency test to an internal web service
$ curl -w "connect: %{time_connect}s, total: %{time_total}sn" -o /dev/null -s https://internal-tool.yourstartup.com
connect: 0.051s, total: 0.152s
```

* **Phase 2: Proof-of-Concept (PoC) Design.**
* Select 2-3 candidates, including Twingate. The selection criteria should be their deployment model (cloud connector vs. on-premise relay) and their support for the protocols you require.
* Deploy the solution to protect **one non-critical but frequently used resource** (e.g., an internal wiki or a test database). Do not attempt a "big bang" migration.
* Measure the same performance tests from Phase 1, now through the ZTNA solution. The delta is your performance tax. For a good user experience, the added latency should be sub-50ms for interactive applications.

* **Phase 3: Scalability & Operational Load Test.**
* Simulate the administrative tasks: How many clicks/steps to add a new employee? To onboard a new cloud database? How is policy managed (e.g., grouping users, defining resource access)?
* Project costs. For 20 users, you must model for 40 or 80. Calculate not just the SaaS license cost, but also the cost of any required cloud infrastructure (e.g., if you need to host connectors in your VPC). This gives you a true cost-per-user-per-month.

For Twingate specifically, you should instrument its performance immediately. Its use of user-space relays can introduce a different latency profile compared to kernel-level solutions, which may be negligible for web apps but potentially meaningful for high-throughput data transfers. Start by deploying their Connector on a modest cloud instance (e.g., AWS t3.small) near your core infrastructure and run your baseline tests against a single protected resource. The critical metric is whether the `time_total` in your curl command remains acceptable after the Twingate client is authenticated and routing traffic.

My question to you, to guide the discussion: What is the primary resource type your team needs to access remotely? Is it a set of web applications, a collection of SSH-accessible servers, or a data layer like PostgreSQL or Redis? The protocol support and performance characteristics of any ZTNA solution, including Twingate, vary significantly across these categories.