Operations | Monitoring | ITSM | DevOps | Cloud

High-cardinality metrics are one of those ideas that sound obviously right - until you try to use them in production. In theory, they promise precision. Instead of averages and rollups, you get specificity: per-request, per-userid, per-container, per-feature insights. The kind of detail we all immediately want when something is on fire. And then things start breaking. Not immediately. Not loudly.But quietly.

As AI workloads shift from training to massive-scale inference, SRE teams are about to feel even more pressure. GPU-heavy computing is breaking the assumptions today’s clusters were built on, while enterprises are beginning to trust autonomous operations and cost pressure is pushing consolidation across the cloud-infrastructure stack.

When systems fail, the instinct to find someone to blame runs deep. But what if assigning fault actually makes your systems less reliable? A blameless postmortem culture transforms how teams learn from incidents, creating stronger systems and more effective incident response processes.

OpenTelemetry is deprecating the Zipkin exporter specification. Zipkin now supports OTLP ingestion natively, so the custom exporter logic in OTel SDKs is no longer necessary.

If you're using TrueFoundry to manage your LLM traffic, you can now send those traces directly to Last9 and view them alongside your existing infrastructure telemetry.