Showcasing a bare-metal multi-platform kubeadm setup with persistent storage and monitoring
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Updated
May 22, 2020 - Makefile
Showcasing a bare-metal multi-platform kubeadm setup with persistent storage and monitoring
octocov is a toolkit for collecting code metrics (code coverage, code to test ratio, test execution time and your own custom metrics).
🟪 AppSignal for Elixir package
Prometheus middleware for Starlette and FastAPI
🔭 Grafana datasource plugin for Instana
This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
TorchHandle makes your PyTorch development more efficient and make you use PyTorch more comfortable
kotlin-spring-boot-prometheus-grafana-example
This repo contains Druid Prometheus exporter, docs ways to scale druid on custom metrics
GPU Auto Scaling based on Prometheus custom metric on EKS
Hands-on guide to scaling Kubernetes services based on custom Prometheus metrics
Implémentation d'un modèle de scoring (OpenClassrooms | Data Scientist | Projet 7)
K8s Horizontal Pod Autoscaling Sample with Custom Metrics using Prometheus and Prometheus Adapter
A Prometheus exporter for instrumenting Tivoli OMNibus/Netcool ObjectServer metrics from alerts.status
Doctor Droid - Python SDK for custom events
Elastic Apm .Net Framework Custom Metrics Example
Radiological Society of North America (RSNA) - Lumbar Spine Degenerative Classification (LSDC). To develop model(s) for detecting and classifying degenerative spine conditions using lumbar spine MRI images, simulating the diagnostic performance of radiologists.
OpenTelemetry Custom Span Creation & Context Propagation - Exporting Custom Metrics Example (Manual Instrumentation)
Sample Golang app that demonstrates the use of the custom metrics feature in Application Autoscaler using mTLS authentication.
Framework for implementing custom metrics support for Kubernetes
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