Grafana Cloud has launched stable support for Prometheus native histograms, which enhance precision and ease of use in data analysis. Customers have reported significant benefits, including reduced operational costs and faster onboarding for internal teams. The new integration with Grafana Metrics Drilldown simplifies access to higher-resolution data without needing to write queries.

Grafana has updated its Prometheus data source to better align with specific cloud services, deprecating AWS and Microsoft Azure authentication in favor of dedicated plugins for Amazon and Azure. This move reflects Grafana's commitment to a "big tent" philosophy, emphasizing interoperability and tailored solutions for diverse observability tools while continuing to support the open-source community.

Grafana 12 introduces a new feature that allows users to import Prometheus-style alerts and recording rules into Grafana-managed alerts directly through the UI, streamlining the migration process without the need to rewrite existing rules. This functionality enhances compatibility with existing workflows and provides access to Grafana's additional alerting features while preserving the original behavior of Prometheus alerts. Users can easily manage and control the import process, making it easier to transition to Grafana's alerting system.

Grafana Mimir has introduced the Mimir Query Engine (MQE) to improve memory efficiency and performance compared to the traditional PromQL engine. Launched with Grafana Mimir 2.17, MQE processes queries in a streaming manner, significantly reducing peak memory utilization and execution time while maintaining compatibility with existing PromQL features. The new engine also underwent rigorous correctness testing to ensure accurate results.

Learn how to monitor your Prusa 3D printer using Grafana by leveraging prusa_exporter and Prometheus to visualize printer metrics and set alerts. This setup allows for efficient offline monitoring, even in environments with network restrictions, and offers customization for both hobbyists and developers. The article also discusses challenges in data processing due to the limited resources of embedded systems.