Information
When Logs Lie, Dashboards Die: Surviving the Observability Delusion
Categories:
[observability],
[cto-journal]
In the war room, everyone stares at the dashboards like they’re sacred truth.
The graphs are beautiful, the colours reassuring.
But here’s the problem: the dashboards are lying to you.
They’re not doing it maliciously.
They’re lying because the data feeding them is wrong, noisy, incomplete, or...
Observability Isn’t Just Logs — It’s a Feedback Loop
Categories:
[observability],
[engineering],
[cto-journal]
Most people don’t connect observability and autonomous tuning.
To be honest, neither did I — not at first.
When you’ve been around as long as I have, you start seeing trends repeat themselves.
The “monitoring revolution” wasn’t the first. Before observability became a buzzword, we had a deca...
Elastic vs Chaos: Normalising Control-M Logs for Observability
Categories:
[elastic],
[control-m],
[observability],
[logstash],
[devops],
[real-world]
Part 1 – The Agent Frontlines
The Mess Behind the Scheduler
I’ve always had a soft spot for Control-M. It’s one of those quietly terrifying systems that just runs — until it doesn’t.
And when it doesn’t, you don’t get a tidy stack trace; you get a log file that looks like a ransom note wr...