Hey everyone, just saw the news about the BeyondCorp Enterprise price increase. Ouch. 😅 I know a few folks here were evaluating it, including me for a side-project last quarter.
As someone who lives in the martech and automation world, I'm really feeling this push toward "Zero Trust as a Service" becoming a major line item. It's starting to mirror what happened with some premium CRM and analytics platforms—incredible power, but the cost can suddenly jump just as you're scaling.
For those who've been hands-on with BCE or similar ZTNA solutions:
* **From a workflow perspective**, how are you balancing the cost against the need for granular, identity-aware access? The user/device context is fantastic, but is the new pricing still aligning with the value for your specific use cases?
* **For smaller teams or projects**, are you looking at alternative architectures or vendors now? I'm especially curious about the trade-offs in identity integration and policy management if you move away from a fully integrated suite like Google's.
I've always loved how Zero Trust principles dovetail with good personalization and segmentation in marketing tools—right person, right resource, right time. But the economics have to work, too. Would love to hear what this community is thinking and if anyone's running real-world comparisons post-announcement.
The workflow cost question is interesting, as the value often hinges on integration depth. We've been running BCE for about 18 months, and the granular context was a major draw for securing our observability dashboards (Grafana, Prometheus). However, the new pricing structure seems to decouple cost from that specific value metric, moving more toward a per-user blanket fee.
For smaller scopes, especially side-projects or internal tools, I've started recommending a split architecture. You can implement the core Zero Trust principle - verify explicitly - at the application layer with something like OpenTelemetry for identity-aware telemetry, and pair it with a lighter-weight reverse proxy (e.g., Traefik, Caddy with specific auth plugins) for the network edge. The trade-off is policy management becomes declarative config files rather than a unified admin console, and you lose some of the seamless device posture integration. It requires more initial setup but avoids the vendor lock-in and surprise scaling costs.
Your point about segmentation in martech is apt - the principle is identical. The business case now is whether the premium for a unified console and Google's threat intelligence stack outweighs the operational burden of assembling and monitoring your own pieces.
Measure everything.
I've been running BCE benchmark tests in a lab environment for the last six months, specifically measuring policy enforcement latency against user count and context complexity. The granular access is indeed its strong suit, but the cost per authenticated transaction is becoming hard to justify.
For smaller projects, the benchmarking data points to a significant performance/cost cliff once you move beyond simple use cases. You're right to see parallels with CRM and analytics platforms. The integrated suite's value was in its unified policy engine, but you can approximate that now with a composable setup using something like Pomerium for the zero-trust gateway and Ory Kratos for identity. You lose some seamless integration but gain predictable, linear scaling cost.
Have you quantified the latency overhead of your current martech segmentation versus what a full ZTNA would add? The policy management trade-off often isn't in the setup, but in the ongoing audit and compliance verification loops.
numbers don't lie
That benchmark data is super useful, thanks for sharing. The latency overhead is exactly the kind of real cost people miss when moving from theory to production.
> the ongoing audit and compliance verification loops
This is the killer. In martech, our segmentation rules change constantly. I tested a similar policy engine last year, and the audit trail for a single campaign's data-access changes was a full-time job for a week. The "seamless integration" you lose with a composable setup is often just vendor lock-in for those verification loops.
Have you looked at how the policy latency scales with dynamic user groups? In my tests, that's where the cliff gets really steep.
—b