Below is the list of blog posts with the “telemetry management” tag.

It’s Halloween season, and while everyone else is worried about ghosts and goblins, you—the sysadmin holding the fort—know the real terror: that dusty print server in the corner that’s been running firmware from 2014. Or the Raspberry Pi someone set up to monitor the server room temperature "temporarily" three years ago. Or the CEO’s personal tablet that absolutely must connect to the internal network because "it’s just easier this way.

Organizations invest heavily in sophisticated monitoring platforms, deploy countless agents across their infrastructure, and build elaborate dashboards to track every metric imaginable. Yet amid this pursuit of comprehensive visibility, a dangerous blind spot often emerges: the observability system itself becomes unobservable. This meta-problem represents one of the most insidious risks in modern infrastructure management. When telemetry collection fails silently—​whether due to misconfiguration, infrastructure changes, or system failures—​operations teams continue making critical decisions based on incomplete or stale data, unaware that their digital nervous system has developed gaps in coverage.

The AI gold rush has arrived, and organizations worldwide are making unprecedented investments in cutting-edge accelerator hardware. GPU clusters worth millions of dollars are being deployed at breakneck speed, with companies betting their competitive futures on these silicon powerhouses. Yet beneath the excitement of acquiring the latest H100s or MI300s lies a sobering reality: the most expensive part of your AI investment isn’t the initial purchase—​it’s ensuring that hardware delivers value every single moment it’s operational.