Devops

lnav is genuinely good. journalctl –merge works. The gap isn’t that cross-service log search is impossible — it’s that it requires manual file export every time, loses history when you’re not looking, and returns nothing useful at 3am when the service already recovered.

You know what’s running on your server. You don’t know if it’s current. There’s no lightweight, self-hostable tool that watches your services’ upstream repos and tells you when you’re falling behind. newreleases.io is free — but it doesn’t know what you’re actually running.

SOPS encrypts your secrets and commits them to git. It doesn’t solve how the decryption key gets to the server. That one step — secret zero — is still manual, undocumented, and fragile. Every project does it differently.

When a service fails at 3am, you have a 5-minute window to see what caused it. After that, the evidence is gone. Current monitoring tools tell you WHAT failed. Nothing captures WHY.

Every new service I deploy requires updating five places. They drift out of sync constantly. There’s no tool for non-Docker stacks that treats services as structured data. This is the candidate that solved my own pain.

Why do small teams deploy less often than their tooling allows? The pipeline works. The tests pass. But the humans hesitate. The gap is not about capability — it’s about what monitoring can and cannot prove.