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  1. Sep 11, 2024 · One of the highlights in Prometheus 3.0 is its brand new UI that is enabled by default: The UI has been completely rewritten with less clutter, a more modern look and feel, new features like a PromLens -style tree view, and will make future maintenance easier by using a more modern technical stack.

  2. Sep 11, 2024 · September 11, 2024 by Julius Volz. The Prometheus Team has just announced Prometheus version 3.0 at PromCon, with an official blog post detailing all the exciting new changes and features. A very visible highlight of Prometheus 3.0 is its new web UI that is enabled by default. I've worked on this complete UI rewrite over the last half year or ...

  3. After 7 years and over 7,500 commits since the release of Prometheus 2.0, the Prometheus community is gearing up for the highly anticipated Prometheus 3.0. While there are countless new features and fixes, some major updates stand out that you’ll want to explore. We encourage the community to dive in, test these features, and report any issues to help make the final release as stable as ...

  4. This is yet another beta release for Prometheus 3.0 and is not ready for production usage. The changes mentioned below are all the new changes since v3.0.0-beta.0. For a complete changelog for 3.0 please read the notes from both beta.0 and beta.1. [CHANGE] regexp . now matches all characters (performance improvement). #14505

  5. Sep 12, 2024 · The Prometheus 3.0 GA release is expected towards KubeCon North America 2024 in November, according to the outcomes of the Prometheus maintainers’ DevSummit that followed PromCon. As we wrapped up our discussion, Julius emphasized that while Prometheus 3.0 is a huge milestone, the work is far from over.

  6. An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.

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  8. 6 days ago · These can cause excessive cardinality, which can degrade the performance of the Prometheus server. Consistent Label Naming: Use a consistent naming scheme across your metrics. For example, always use region instead of sometimes using location or geo. This consistency helps in aggregating and querying metrics more effectively. 2. Naming Conventions

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