Grafana Labs·1yKubernetes Monitoring Helm chart 2.0: a simpler, more predictable experience
Version 2.0 of the Kubernetes Monitoring Helm chart improves ease of use and flexibility in collecting telemetry data from Kubernetes clusters. Key updates include user-focused feature design, multiple data destinations, built-in integrations for popular services, and compatibility with Fleet Management. Simplified migration from version 1.x is supported by a detailed guide and migration utility.
Grafana Labs·1yHow CERN uses Grafana and Mimir to monitor the world's largest computer grid
CERN operates the world's largest computing grid to support its particle accelerator research. To monitor this massive infrastructure, which includes 1.4 million computing cores and 1.5 exabytes of storage, CERN uses Grafana and Grafana Mimir. These tools provide essential dashboards and alerting functions, integrating various data sources into a unified system. Grafana has become key to ensuring 12,000 physicists can access and analyze the data they need, while Mimir addresses long-term storage challenges for Prometheus metrics.
Grafana Labs·1yMetrics, logs, and literature: Inside The National Library of the Netherlands’ observability stack
The National Library of the Netherlands uses Grafana for their observability stack, ensuring seamless access to a vast collection of digital literature. The library's choice of Grafana over Splunk was driven by ease of use, cost reduction, and native Prometheus support. They deployed Grafana Mimir for metrics and Grafana Loki for logs, empowering developers with simplified infrastructure setup. Future plans include implementing Grafana Alerting, Grafana Tempo, and Grafana Faro to enhance performance monitoring.
37signals Dev·1yMonitoring 10 Petabytes of data in Pure Storage
The post discusses moving 10 petabytes of data from AWS S3 to Pure Storage FlashBlade for better observability and capability. It explains the setup of Pure OpenMetrics exporter for monitoring with Prometheus and provides code snippets for configuration. Various alerting mechanisms and their implementations are highlighted to ensure system reliability. Additionally, it mentions integrating with tools like Prometheus and Grafana for seamless cluster management.
Grafana Labs·1yGrafana Tempo 2.7 release: new TraceQL metrics functions, operational improvements, and more!
Grafana Tempo 2.7 introduces enhancements including new TraceQL metrics functions and operational improvements aimed at optimizing performance and resource usage. Key updates include better query frontend handling, reduced ingester memory usage, and faster TraceQL query execution. Additionally, several breaking changes related to OpenTelemetry dependency, regular expression matcher, and gRPC compression settings are highlighted. The future update 'RF1 rearchitecture' promises further improvement.