hitron-exporter
krr
hitron-exporter | krr | |
---|---|---|
1 | 5 | |
1 | 2,311 | |
- | 13.8% | |
6.9 | 9.2 | |
about 1 year ago | 7 days ago | |
Python | Python | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hitron-exporter
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Building a custom blackbox/snmp-style exporter
I've written a few exporters like this. See https://github.com/yrro/hitron-exporter/blob/master/src/hitron_exporter/__init__.py for an example.
krr
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What is the role of QoS for Pods?
Thanks buddy. I have seen a tool recently by robusta but not sure if helpful or not. Haven't tried it yet. https://github.com/robusta-dev/krr
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Preventing wasted resources
To calculate the optimal values you will need to have some historical metrics from a timeframe with representative load flowing through the pods. Then you can check the CPU/Memory usage metrics to see typical/max usage. There are also various tools that can help you with recommendations, but they will most likely require metrics history too, e.g. https://github.com/robusta-dev/krr
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Who is using VerticalPodAutoscaler?
VPA is ok. I thought this project, https://github.com/robusta-dev/krr, from Robusta looked promising (for sizing containers). I'd also look at continuous profiling solutions like Prodfiler or Parca.
- KRR - accurate resource recommendations based on historical Prometheus data
- Show HN: Prometheus-based resource recommendations for Kubernetes
What are some alternatives?
prometheus-pve-exporter - Exposes information gathered from Proxmox VE cluster for use by the Prometheus monitoring system
kptop - CLI tool for Kubernetes that provides pretty monitoring for Nodes, Pods, Containers, and PVCs resources on the terminal through Prometheus metrics
client_python - Prometheus instrumentation library for Python applications
optscale - FinOps and MLOps platform to run ML/AI and regular cloud workloads with optimal performance and cost.
devops-exercises - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
prometheus-enhanced-snmp-exporter - Enhanced prometheus SNMP exporter with multithreading support and variable SNMP pooling interval
FastAPI-template - Feature rich robust FastAPI template.
prom2teams - prom2teams is an HTTP server built with Python that receives alert notifications from a previously configured Prometheus Alertmanager instance and forwards it to Microsoft Teams using defined connectors
django-prometheus - Export Django monitoring metrics for Prometheus.io
kube-state-metrics - Add-on agent to generate and expose cluster-level metrics.