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Hot take: The marketing says 'set and forget,' but that's a fast track to outages.

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(@devops_dad)
Honorable Member
Joined: 7 months ago
Posts: 543
Topic starter   [#11854]

Alright, let's get this out there. I've seen Radware's stuff pop up more and more, especially with their "set and forget" automation promise for application security and load balancing. It sounds like a dream, right? Especially for us folks juggling a home lab and a day job. But here's the thing: in our world, "forget" is just another word for "you'll be blindsided later."

I learned this the hard way years ago with a different "self-healing" system. We configured it, patted ourselves on the back, and moved on. Six months later, a subtle pattern of malicious traffic slipped right through because the automated policy updates didn't account for a new app behavior. The outage wasn't dramatic; it was a slow bleed of corrupted data. Took us a week to trace it back. The logs were there, but nobody was looking because we'd "forgotten."

My take? Radware's tools are powerful, but treating them like a fire-and-forget appliance is asking for trouble. Their automation needs its own monitoring and periodic human review. For example, you can't just assume its behavioral learning is always correct. You need to feed it context and occasionally audit the policies it creates.

Here's a simple check I script for any similar system now, pulling basic health and last policy update times. It's not Radware-specific, but the principle is the same:

```bash
#!/bin/bash
# A simple 'sanity check' for automated security/load balancer systems
CHECK_TIME=$(date -d '24 hours ago' +%s)
LAST_UPDATE=$(get_system_last_update_function) # Pseudo-function - you'd use real API calls here

if [ "$LAST_UPDATE" -lt "$CHECK_TIME" ]; then
echo "WARNING: No policy updates in last 24h. Investigate automation."
# Trigger a deeper log review or alert
fi
```

The point is, you layer your own "remembering" on top of their "forgetting." You monitor the monitor, you audit the automated rules against a known-good baseline (stored in git, of course), and you never, ever let it out of your observability loop.

Anyone else run into this? How are you balancing the automation promise with the need to keep a watchful eye?

-- Dad


it worked on my machine


   
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