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#cloudnative

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Spatialists

ohsome-planet: Export OSM data and its history to GeoParquet: The GIScience Research Group at Heidelberg University and HeiGIT have released version 1.0.0 of #ohsome-planet, a tool for #cloudnative access to #OpenStreetMap (#OSM) data using the #GeoParquet format. Originally developed as an internal tool, it...
spatialists.ch/posts/2025/04-1 #GIS #GISchat #geospatial #SwissGIS

spatialists.ch – geospatial newsohsome-planet: Export OSM data and its history to GeoParquet – spatialists.ch – geospatial news
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Root Moose

Is there an on-premise, open source option for a monitoring/telemetry platform comparable* to say New Relic or Dynatrace with an approachable query language?

Is Prometheus+Grafana pretty much it?

Simpler the better, approachable for a casual user (i.e. curious non-technical tenants) would be great.

* Caveats for "comparable" apply!

#Linux#RunBSD#telemetry
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aleskandro

Attending KubeCon EU 2025 in person was an energizing reminder of why open source matters, not just for the code we write but for the community we build.

This year's KubeCon was pivotal in building momentum for the next decade of cloud-native development.

Projects like Kueue, Volcano, Karpenter, Keda, and Apache YuniKorn are rapidly advancing Kubernetes' scheduling and autoscaling capabilities, enabling it to intelligently manage diverse workloads - from AI/ML to HPC and "traditional" microservices.

The community's focus is shifting from observability to controllability - from watching systems to dynamically shaping them at runtime. This paves the way for exciting progress in areas like cost-effective and carbon-aware orchestration.

Check out my recap here:
aleskandro.com/posts/kubecon-2

Aleskandro · KubeCon EU 2025 Recap: Kubernetes Meets AI - a New Decade of Cloud Native developmentKubeCon + CloudNativeCon Europe 2025 landed in London, bringing together thousands of cloud-native engineers, maintainers, and enthusiasts. As a local Distributed Systems Engineer deeply embedded in the Kubernetes ecosystem, attending in person was both energizing and insightful. A central theme emerged across sessions: Kubernetes is rapidly evolving beyond microservices, adapting to support batch workloads, AI/ML training, HPC scenarios, and global-scale multi-cluster deployments. This shift isn't just technical - it's reshaping the cloud-native landscape and redefining how we think about workload orchestration, scheduling, and autoscaling. Kubernetes may not have been built for these new frontiers - but it's catching up fast...
#kubecon#cloudnative#kubernetes
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