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Summary Automotive manufacturers face rising costs and scaling limits with per-tag-priced data historians as sensor counts and sampling rates grow. Instead of rip-and-replace, manufacturers are augmenting traditional data historians by routing new telemetry to InfluxDB (via Telegraf or Litmus or consolidating siloed historians, while the historian continues handling SCADA and regulatory data. Table of Contents.

Back in 2020, when we laid out where Netdata was going, the plan listed anomaly detection, log collection and “application traces collection”. The first two shipped years ago. Traces took longer, because we wanted them to work the way the rest of Netdata works: collected and stored on your own nodes, with no separate backend to stand up. Distributed tracing is now available in Netdata.

Apache Spark monitoring guide: what the Spark UI shows, how to keep it after a job ends, finding skew and spill, Prometheus metrics, and alerts. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

I’m not the one whose phone lights up at 3 a.m. when production breaks. But I’ve spent years working alongside the engineers who are, and I’ve noticed that observability migrations happen for two reasons. Either engineering needed one, or, far more often, a quote landed that looked too good to refuse. The engineers rarely regret the first kind. The second kind they tell me about in year two, usually with a renewal notice in hand.

SharePoint and OneDrive pay-as-you-go billing (MC1330893, MC1477185) and the end of the OneDrive allowance above 5 TB (MC1465765): who is affected.

Data center power distribution delivers electricity from the facility's power source to the IT equipment that consumes it. Data center monitoring provides visibility into how much power is being used, where it is being used, and how much capacity remains available to improve uptime and efficiency.

FastAPI 0.142.0 ships with OpenTelemetry built in. Install fastapi, set one environment variable, and every request produces a trace, metrics, and error logs. No middleware, no instrumentation package, no code. That’s a big change for a framework most Python teams instrument by hand. It’s also easy to misread. The defaults record more than some teams expect in one place, and less than others assume in another. Here’s what you actually get.

Pair Kinesis PartitionKey with ExplicitHashKey to propagate OpenTelemetry trace context while keeping records on their original shards and preserving order.

Most people who use CloudZero spend their time in one or two places. For some it’s AI Signals, and for others it’s Optimize or Anomalies. If Explorer isn’t one of those places, every sign-in starts with a click to get where you need to be. Dates and numbers are another friction. A date like 04/07 means April 7 in the US and July 4 in much of Europe. When the platform shows a format your team doesn’t use, you end up having to convert each value before you can work with it.