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In Grafana Cloud, we offer a range of AI capabilities to support your observability needs, including a feature for forecasting on any of your metrics and coupling it with Grafana Alerting. This is critical functionality if you want to make the switch from reactive to proactive alerting, as troubleshooting a problem before it arises is an important part of modern observability.

Japanese organizations are focused on controlling costs and limiting complexity—and they might be getting ready to broaden their adoption at just the right time, according to analysis of a micro survey on observability recently conducted by Grafana Labs. Observability is an evolving space in Japan, and this is the first time Grafana Labs has run a Japanese version of our annual Observability Survey.

Grafana Tempo 2.8 is officially here, delivering new TraceQL features, performance improvements, and bug fixes, as well as some breaking changes. Watch the video below to learn more about the TraceQL features, or continue reading to get a quick overview of these and other updates. If you’re looking for something more in-depth for all of the changes that happened in this release, head over to the Grafana Tempo 2.8 release notes or the changelog.

If you’re working with metrics in Grafana Cloud, chances are you’ve come across DPM (data points per minute). It shows up in usage dashboards, invoice breakdowns, and occasionally pops up in Slack when your ingestion numbers start looking suspicious. DPM can also be seen in the Grafana Cloud billing and usage dashboard, which is available by default in every Grafana Cloud account. It helps you understand how much data you’re sending—and whether it’s more than you need.