> The agent surfaced a suspicious issue: the anetd pods in our Google Kubernetes Engine cluster were restarting constantly, around 120 restarts per pod over six days, which is almost one crash per hour. Surely, this couldn't be right!
> Sascha dug into the crash dumps. The stack trace pointed to a concurrent map-access panic, multiple goroutines trying to read and write to the same data structure at the same time without proper locking. But the key detail was where the panic happened: inside the Wireguard module of anetd.
AI: Your anted pod is crashing.
Engineer: Looks in the logs and finds a stack trace.
Your agent didn't find the bug. It's really that simple.
Does credibility really mean nothing anymore?
There may be some good answers and lessons, but they didn’t make it into the article. Saying it’s on a cloud provider’s private network so encryption between your nodes isn’t necessary is a bold choice. Also, what happened to the root cause? Why did it start failing a week ago? Was a downgrade of the offending code not possible?
Not all bug investigations are worth really digging into. Sometimes the right call is to find any fix and move on. But all the nuance, judgement, implications, and lessons learned failed to make it into this post. And they are what make reading incident reports interesting for most engineers.
'Sascha dug into the crash dumps. The stack trace pointed to a concurrent map-access panic, multiple goroutines trying to read and write to the same data structure at the same time without proper locking. But the key detail was where the panic happened: inside the Wireguard module of anetd.'
this is person right? not a agent... and this whole article seems like it was written by AI...
AI writing takes these to an extreme but we have see the same happening everywhere even before AI
They are a false positive signal for identifying AI texts anyway.
At least, in reasonably long sections of text. I find it can be hard to tell one way or the other in shorter texts (like comments)
Makes me think of how pre-chatGPT I still could barely handle most recipe blogs because of their well known attempts at "filling space". And yea the problem is significantly magnified now everywhere else.
Anyway, my point is, whether or not someone uses AI is almost secondary in a way (even though it can seem pretty obvious to most of us when it's being used). All that matters is if the writing seems like it cares more about throwing words at people instead of actually conveying its points in a way to elicit understanding.
...
Skipping past the investigation bit (minimising my daily slop intake), it's a wrong MTU value causing failing connections when Wireguard is disabled:
> When we disabled WireGuard, we expected the configuration to change to use the full 1500 bytes. However, some nodes in the cluster hadn't been restarted [and were] using the old 1420-byte MTU.
> [paraphrased] This particularly affected Valkey connections because they were distributed across nodes with mismatched MTU settings. So your API pod might not connect. The fix was rerolling all the nodes to get a consistent MTU configuration
