charts
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virtual-kubelet
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charts | virtual-kubelet | |
---|---|---|
28 | 10 | |
15,373 | 4,057 | |
- | 0.7% | |
2.1 | 7.0 | |
about 2 years ago | 15 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
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.
charts
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Loading Kibana dashboards using Metricbeat through HELM charts
I did this using the incubator/raw chart ( https://github.com/helm/charts/tree/master/incubator/raw ), by creating a k8s Job.
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K8S - using Prometheus to monitor another prometheus instance in secure way
I've installed Prometheus operator 0.34 (which works as expected) on cluster A (main prom)Now I want to use the federation option,I mean collect metrics from other Prometheus which is located on other K8S cluster B
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How to silence Prometheus Alertmanager using config files?
I'm using the official stable/prometheus-operator chart do deploy Prometheus with helm.
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Prometheus Definitive Guide Part III - Prometheus Operator
Enter the default username: admin and password: prom-operator which you can find from here to access Grafana.
- Multipass, Microk8s, Prometheus and Grafana
- ECS migrate to EKS part 3
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Deploying Jenkins on Google Cloud
In this step opta generates terraform code to deploys helm chart. You can review the plan and accept it. It will take around 2-3 minutes for the plan to get applied. For specifying values to the helm chart you can modify the values inside opta-gcp/opta.yml . Refer to jenkins helm chart for more details https://github.com/helm/charts/tree/master/stable/jenkins. After opta apply finishes you will have jenkins up and running on your infra.
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k8s-secretgen: Got tired of generating secrets for testing stuff so I made a script to automate it.
I do use Helm to deploy, but the trouble with using it for secrets is that it overwrites them on an upgrade.
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My Journey With Spark On Kubernetes... In Python (1/3)
In this section, you use Helm to deploy the Kubernetes Operator for Apache Spark from the incubator Chart repository. Helm is a package manager you can use to configure and deploy Kubernetes apps.
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Autoscaling Redis applications on Kubernetes 🚀🚀
Redis: I have used Azure Cache for Redis, but feel free to explore other options e.g. you can install one in your Kubernetes cluster using a Helm chart).
virtual-kubelet
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Bare-Metal Kubernetes, Part I: Talos on Hetzner
Speaking of k8s, anyone here know of ready-made solutions for getting XCode (i.e. xcodebuild) running in pods? As far as I'm aware, there are no good solutions for getting XCode running on Linux, so at the moment I'm just futzing about with a virtual-kubelet[0] implementation that spawns MacOS VMs. This works just fine, but the problem seems like such an obvious one that I expect there to be some existing solution(s) I just missed.
- Nomad vs. Kubernetes
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Deploy on prem Kubernetes. What is the best approach paid and unpaid to deploy a cluster on premise with burst to azure/aws? The only need is the ability to have some static pods. I do have a preference for free/open source solutions.
I just stumbled upon this project a while back and don't have experience with it, so I don't know how well it works and what caveats you may face, but there's Virtual Kubelet, which aims to do just that, i.e. running a virtual Kubernetes node outside the cluster. Its Kip provider sounds like the thing you're looking for.
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How to use the GitOps model to create, update and manage applications at the edge with KubeEdge and Argo
Kubeedge docs are light on self-justification... How does https://github.com/kubeedge/kubeedge differ from https://github.com/virtual-kubelet/virtual-kubelet or just running a regular kubelet on that edge machine?
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Autoscaling Redis applications on Kubernetes 🚀🚀
If this sounds interesting, do check out Virtual Nodes in Azure Kubernetes Service to see how you can use them to seamlessly scale your applications to Azure Container Instances and benefit from quick provisioning of pods, and only pay per second for their execution time. The virtual nodes add-on for AKS, is based on the open source project Virtual Kubelet which is an open source Kubernetes kubelet implementation.
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Infrastructure Engineering - Diving Deep
Use cases like these are made possible by projects like KubeEdge , K3s and Virtual Kubelets. You can read more about how they power the edge with different architectures and compromises here.
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Evolving Container Security with Linux User Namespaces
This is a complicated question to answer.
This isn't my expertise (the cluster orchestration system), but I can answer to the best of my abilities: Titus, today is a system that sits on top of Kubernetes, and uses Kubernetes components to do its thing, but we've substituted many of the systems with our own. For example, closer to my area of knowledge, we've used our own executor / provider along with the Virtual Kubelet project (https://github.com/virtual-kubelet/virtual-kubelet) instead of Kubelet.
We're exploring where we can leverage the Kubernetes ecosystem, adapt components, or help contribute changes back that others can leverage to enable our use of more COTS components of Kubernetes.
tl;dr: We're swapping out the engines while in flight
What are some alternatives?
kubernetes-mixin - A set of Grafana dashboards and Prometheus alerts for Kubernetes.
external-dns - Configure external DNS servers (AWS Route53, Google CloudDNS and others) for Kubernetes Ingresses and Services
kubeedge - Kubernetes Native Edge Computing Framework (project under CNCF)
kubevirt - Kubernetes Virtualization API and runtime in order to define and manage virtual machines.
cdk8s - Define Kubernetes native apps and abstractions using object-oriented programming [Moved to: https://github.com/cdk8s-team/cdk8s]
keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
volcano - A Cloud Native Batch System (Project under CNCF)
kubefed - Kubernetes Cluster Federation
kube-state-metrics - Add-on agent to generate and expose cluster-level metrics.
spark-operator - Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
prometheus-operator - Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.