Operations | Monitoring | ITSM | DevOps | Cloud

When your company’s help desk receives fifteen "my connection is slow" tickets from remote employees in a single morning. Your network monitoring dashboard shows everything green; VPN concentrators running smoothly, bandwidth usage normal, no alerts. Yet employees can't get their work done. You try to ping their home routers. Nothing. Attempt a traceroute to diagnose the path. It dies at the ISP edge. Check your SNMP queries. They never make it past the residential gateway.

IT operations teams deal with growing system volume, faster release cycles, and tighter service expectations. Traditional monitoring tools generate large alert volumes, yet teams still spend hours sorting signal from noise under pressure. Manual triage slows response time, while disconnected tools stretch incident handling and service recovery.

Google SecOps (formerly Chronicle) is widely used for large-scale security analytics, long-term telemetry retention, and detection across diverse environments. Its Unified Data Model (UDM) enables correlation across sources and supports analytics that operate over long time horizons. To take full advantage of these capabilities, security data must arrive in a consistent and well-structured UDM format. In practice, this is rarely the case.

A repository for this article can be found here.‍ When most developers think about request tracing, they picture instrumentation hooks inside familiar libraries. This allows us to track familiar metrics we see in application performance monitoring (APM) tools such as the duration of an HTTP call or how long a database query takes. But what if you could go deeper and instrument your own Ruby code automatically, without sprinkling timing calls everywhere?