Best Zscaler alternative for a K8s-heavy dev team under 200 users

danf · 2026-08-15T03:51:00Z

Everyone jumps to Zscaler for Kubernetes because it's the loudest name in the room. That doesn't make it the right fit, especially for a team under 200 where every dollar and millisecond counts. You're likely getting a solution scaled for an enterprise five times your size, with the cost and complexity to match. Before you look at alternatives, you need to define what "best" actually means. Is it raw egress latency for your pods talking to external dependencies? Is it the cost per developer seat? The operational overhead of maintaining yet another cloud proxy? Most reviews gloss over these trade-offs, focusing on features you'll never use. For a K8s-heavy shop, your real pain points are probably service mesh integration, API call performance to places like Docker Hub and GitHub, and not breaking your CI/CD pipelines. I've seen teams bolt on ZIA and suddenly wonder why their builds are 30% slower. Look at solutions built with modern infra in mind. Twingate for a zero-trust model that's less invasive. Cloudflare Zero Trust if you're already using their CDN and want to consolidate. Even a properly configured set of egress gateways and network policies might get you 80% of the way there for 20% of the cost. But nobody wants to hear that because it doesn't involve a shiny vendor dashboard. The real question is what you're trying to solve. If it's just secure external access for developers, that's a different problem than securing all pod egress. Most teams conflate the two and buy a solution that solves neither efficiently.

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git_ops_guy

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16/08/2026 10:47 am

>a test you can run to see if a solution will actually slow down image pulls

Yes! Spin up a simple pod in a test cluster and script a loop to time `docker pull` for a few common base images, with and without the proxy. Run it for an hour to catch variance.

We did this and found our initial egress config added 2-10 seconds per pull, which killed parallel CI steps. The 99th percentile spike is the real killer, not the average. It's a cheap test that saved us a bad rollout.

git push and pray

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