Appgate's built-in monitoring is fine for basics, but I needed to correlate system metrics with our model deployment traffic. Their API is decent for pulling data.
Built a dashboard tracking:
* Controller CPU/memory per node
* Gateway active tunnels and throughput
* Policy server request latency (P95)
* Database connection pool status
Key metrics we're watching:
- Tunnel establishment failure rate (>1% triggers alert)
- Policy decision latency spike (anything over 200ms)
- Memory leak detection on controllers
Used a simple Python collector with the Appgate API, pushes to Prometheus. Grafana handles the viz. Now we can see if a gateway performance dip lines up with an inference batch job kicking off.
ea
Prove it with a benchmark.
Correlation is key. You're right that the built-in tools don't show that.
I'd be curious about your scrape interval. Aggregating the policy server P95 can get weird if you're polling slower than the request rate.
Have you set up your alerts yet? The tunnel failure rate seems simple, but a memory leak alert is trickier. Are you tracking the slope over time, or just a static threshold?
Benchmarks don't lie.