Servers: Top 500 (All Running GNU/Linux) and Kubernetes for 'Open' 'Telemetry'
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Top 500: November 2022
Frontier is the clear winner of the race to exascale, and it will require a lot of work and innovation to knock it from the top spot.
The Fugaku system at the Riken Center for Computational Science (R-CCS) in Kobe, Japan, previously held the top spot for two years in a row before being moved down by the Frontier machine. With an HPL score of 0.442 EFlop/s, Fugaku has retained its No. 2 spot from the previous list.
The LUMI system, which found its way to the No. 3 spot on the last list, has retained its spot. However, the system went through a major upgrade to keep it competitive. The upgrade doubled the machines size, which allowed it to achieve an HPL score of 0.309 EFlop/s.
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Boosting Kubernetes container runtime observability with OpenTelemetry | Kubernetes
When speaking about observability in the cloud native space, then probably everyone will mention OpenTelemetry (OTEL) at some point in the conversation. That's great, because the community needs standards to rely on for developing all cluster components into the same direction. OpenTelemetry enables us to combine logs, metrics, traces and other contextual information (called baggage) into a single resource. Cluster administrators or software engineers can use this resource to get a viewport about what is going on in the cluster over a defined period of time. But how can Kubernetes itself make use of this technology stack?