ansible-role-rke2
kube-state-metrics
ansible-role-rke2 | kube-state-metrics | |
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3 | 33 | |
264 | 5,137 | |
8.7% | 1.8% | |
8.4 | 9.1 | |
10 days ago | 7 days ago | |
Jinja | Go | |
MIT License | Apache License 2.0 |
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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.
ansible-role-rke2
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Questions about Kubernetes
I've implemented Kubernetes in my company during the last year. It's a great technology. I love it. By now I have 10Nodes, 3 masters and ~35 Namespaces for different applications. I use RKE2 as my kubernetes engine. I've setup the whole cluster via ansible and this module: GitHub - lablabs/ansible-role-rke2: Ansible Role to install RKE2 Kubernetes. My Servers get deployed via terraform. I host everything on hetzner.
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Single IP (kube-vip) for ingress objects, is this possible?
I deployed Kubernetes using ansible + lablabs.rke2 role, and used Kube-vip as the virtual IP provider. Now I have a Kubernetes cluster and can create a service with type=LoadBalancer without any problem. However, the IP range that I assigned for load balancing is quite limited, so I want to use ingress instead. But when creating an ingress object, their addresses are the addresses of my 2 worker nodes. Is it possible to assign a virtual IP to distribute traffic to my worker nodes instead? I heard that DNS round-robin isn't very reliable.
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RKE or RKE2 automation
Hello, I guess you can use an Ansible RKE2 role to provision your cluster. https://github.com/lablabs/ansible-role-rke2
kube-state-metrics
- Do we have any Prometheus metric to get the kubernetes cluster-level CPU/Memory requests/limits?
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10 Kubernetes Visualization Tool that You Can't Afford to Miss
git clone https://github.com/kubernetes/kube-state-metrics.git
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Why is the Prometheus metric 'kube_pod_completion_time' returning empty query results?
https://github.com/kubernetes/kube-state-metrics/blob/main/docs/pod-metrics.md According to this github repo completion is responsible of termination date if I correctly understood .
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Google Kubernetes Engine's metrics vs Self-managed
kube-state-metrics
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Prometheus node exporter and cadvisor to send metrics to central prometheus cluster
Those are entirely different types of data. You can get that from something like kube-state-metrics
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Scaling kube-state-metrics in large cluster
I've never had a cluster of that size, so take it with a grain of salt - but maybe you could try purpose-based sharding? KSM has allowlist and denylist config flags, for configuring which metrics it exposes https://github.com/kubernetes/kube-state-metrics/blob/main/docs/cli-arguments.md
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Questions about Kubernetes
Kubernetes itself will not notify you, the way I've seen people do this, is to use something like kube-state-metrics or node_exporter, export that to Prometheus (or preferrably VictoriaMetrics because Prometheus is terrible IMO), and then setup alarms on that with alertmanager or equivalent, or just look at dashboards regularly with Grafana. Realistically I recommend only setting alerts on disk usage and application/database latency. CPU and memory utilization isn't a great metric to alert on a lot of the time.
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EKS scalability best practices
Another tip that you could consider spelling out a little more, is to monitor the number of resources created by Kind. This is somewhat mentioned for jobs and services, but any Kind of which thousands of resources are created will put stress on the control-plane. The total number of resources per namespace/cluster can be monitored with kube-state-metrics. KSM does not emit metrics of resources created from CRDs. These metrics can be implemented with KSM's custom resource state metrics: https://github.com/kubernetes/kube-state-metrics/blob/main/docs/customresourcestate-metrics.md
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Observability-Landscape-as-Code in Practice
We then have various other Metrics called Kubernetes Workload Metrics. These are the dashboards with names that start with “Kubernetes / Compute Resources / Workload”. These dashboards are specific to the services you are running. They take into account the Kubernetes Workloads in your various namespaces, using kube-state-metrics. For a closer look, check out otel_demo_app_k8s_dashboard.tf.
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Kubernetes Costs: Effective Cost Optimization Strategies To Reduce Your k8s Bill
The first step to optimizing costs is gaining visibility into your costs using tools. Kubernetes provides a Metrics Server and kube-state-metrics that can give you the overall picture of resource utilization by your cluster. There are more tools that provide more granular breakdowns and provide dashboards with business metrics, infra cost, and alerting functionalities. Here are some strategies to optimize your resource utilization and cloud bills on k8s.
What are some alternatives?
ansible-role-k3s - Ansible role for installing k3s as either a standalone server or HA cluster.
cadvisor - Analyzes resource usage and performance characteristics of running containers.
k3s-on-prem-production - Playbooks needed to set up an on-premises K3s cluster and securize it
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
terraform-openstack-rke2 - Deploy Kubernetes on OpenStack with RKE2
php-fpm_exporter - A prometheus exporter for PHP-FPM.
libvirt-k8s-provisioner - Automate your k8s installation
k3s - Lightweight Kubernetes
agorakube - Agorakube is a Certified Kubernetes Distribution built on top of CNCF ecosystem that provides an enterprise grade solution following best practices to manage a conformant Kubernetes cluster for on-premise and public cloud providers.
kubespray - Deploy a Production Ready Kubernetes Cluster
postgres-operator - Production PostgreSQL for Kubernetes, from high availability Postgres clusters to full-scale database-as-a-service.
kube-metrics-adapter - General purpose metrics adapter for Kubernetes HPA metrics