Introducing Librato Tagged Metrics — Librato Blog

Introducing Librato Tagged Metrics


Nik Wekwerth


Today, we’re extremely proud to announce a significant new release for Librato -- tagged metrics. We’re starting with a closed beta group, and will follow with a GA release very soon. 

Librato has always been an immensely flexible tool for analyzing time-series data and creating custom dashboards to show nearly any metric your team needs. With tagged metrics, Librato becomes even more flexible, allowing you to slice and dice your data dynamically by any dimension. Instead of sending measurements with a single source, you can now choose the set of tags that are most valuable for your team.

For example, if you’re analyzing data from your AWS EC2 instance, you can choose to see only the data that belongs to specific regions, instance types, availability zones, instance ids, names, or other custom tags. Tagged metrics give you the power to dynamically filter and group data by any set of tags, so you can answer new questions with fewer constraints on how to organize your metrics.

View CPU Utilization by Instance Type

View CPU Utilization by Instance Type

View ELB Latency by AZ

View ELB Latency by AZ

Every team is different, and consequently, the metrics you and your company care about are different. That’s why we at Librato strive to continue to create a powerful and robust tool that allows every team to view the real-time health of applications and infrastructure using the data you want to see, in the view you want to see it in. 

We’re happy to announce access to tagged metrics in closed beta starting today. We’re working to provide a simple, intuitive interface with more powerful integrations that take advantage of tags. As we gather feedback we will release changes early and often, while building out integrations and language bindings that support the new data model.

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