helm-charts
charts
helm-charts | charts | |
---|---|---|
100 | 88 | |
4,759 | 8,540 | |
2.4% | 1.5% | |
9.7 | 10.0 | |
4 days ago | 5 days ago | |
Mustache | Smarty | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
helm-charts
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Kubernetes for Beginners
Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart: https://github.com/prometheus-community/helm-charts/tree/main/prometheus Grafana Helm Chart: https://github.com/grafana/helm-charts/tree/main/grafana Elasticsearch Helm Chart: https://github.com/elastic/helm-charts/tree/main/elasticsearch Kibana Helm Chart: https://github.com/elastic/helm-charts/tree/main/kibana RBAC: https://kubernetes.io/docs/reference/access-authn-authz/rbac/ Network Policies: https://kubernetes.io/docs/concepts/services-networking/network-policies/ StatefulSets: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/ DaemonSets: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/ Taints and Tolerations: https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/ Custom Resource Definitions (CRDs): https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/ Operators: https://kubernetes.io/docs/concepts/extend-kubernetes/operator/
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Introducing a Custom Operator for Unified Management of Kubernetes Tools
Installation example for prometheus:
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You get what you Measure: Understanding your applications health with Grafana, Loki and Prometheus
Prometheus can be deployed using the Prometheus Helm Chart. This helm chart contains a lot of features such as the already mentioned Push Gateway, Alert Manager and so on. For simplicity reasons of this tutorial I will not show all the Helm chart configuration but you can see a real example used by me here.
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Multi-Cluster Prometheus: Scaling Metrics Across Kubernetes Clusters
Building upon Bartłomiej Płotka's insightful blog on Prometheus and its passthrough agent mode, this post dives into implementing multi-cluster Prometheus support. Notably, the official inclusion of support in the widely-used kube-prometheus-stack came with the release in July 2023, making it easier to extend Prometheus monitoring across clusters.
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Hands On: Pull metrics into Kubernetes from anywhere and treat them generically with the Keptn Metrics Server
The first thing you'll need, of course, is at least one backend to store metrics. So install Prometheus now:
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Kubernetes Ingress Visibility
For the request following, something like jeager https://www.jaegertracing.io/, because you are talking more about tracing than necessarily logging. For just monitoring, https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack would be the starting point, then it depends. Nginx gives metrics out of the box, then you can pull in the dashboard like https://grafana.com/grafana/dashboards/14314-kubernetes-nginx-ingress-controller-nextgen-devops-nirvana/ , or full metal with something like service mesh monitoring which would provably fulfil most of the requirements
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Smart-Cash project -Adding monitoring to EKS using Prometheus operator
kube-prometheus-stack is a Helm chart that contains several components to monitor the Kubernetes cluster, along with Grafana dashboards Grafana Dashboards to visualize the data. This option will be used in this article.
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K8s Monitoring Per Namespace
This one I highly recommend: https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack
- Is Prometheus the right tool for my use case here?
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Do we have any Prometheus metric to get the kubernetes cluster-level CPU/Memory requests/limits?
We use kube-prometheus-stack for metrics and have added the K8s views dashboards from grafana-dashboards-kubernetes. You should check out the k8s-views-global dashboard. I believe it's just what you are looking for.
charts
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Coexistence of containers and Helm charts - OCI based registries
Both of these examples seem pretty obvious and something you wouldn’t mess up, but as your chart grows, so does your values.yaml file. A great example is the Redis chart by Bitnami. I encourage you to scroll through its values file. See you in a minute!
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How to deploy and manage a RabbitMQ cluster on Amazon EKS using Terraform and Helm
We will write a Terraform module that will take a list of configurations for each required RabbitMQ instance. Luckily for us, we don't have to write the Kubernetes yaml configurations since the helm charts by Bitnami does a great job of doing all the things we discussed above. All we need to do is leverage Terraform Helm Provider and deploy the chart with the required values for our use case.
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Master Helm, Chart the Kubernetes Seas 🌊🧭🏴☠️
💡 The full details of helm charts can be referenced in their associated GitHub Repository.
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Bitnami Kibana dashboard import
I have a configmap with the ndjson set up under data:, similar to https://github.com/bitnami/charts/issues/6159 and it's subsequent answer.
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Deploy Kubernetes Helm Charts in Minutes
This way, you can easily deploy any Helm charts from this public repo - https://github.com/bitnami/charts/tree/main/bitnami in just minutes.
- [Kubernetes] Comment déployez-vous un cluster Postgres sur Kubernetes en 2022?
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Is there any tutorial, blog post that shows you how to use the bitnami-mysql helm chart?
The Bitnami Github Pages themselves usually cover everything you need to know. Configure a values.yaml file, or modify that to your liking, and you run helm install, as written in their docs.
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Dynamic Volume Provisioning in Kubernetes with AWS and Terraform
The actual reason that our pods are not coming up is found when we review the helm installation that we are trying to run. If you check the dependencies in the GitHub repository (https://github.com/bitnami/charts/blob/main/bitnami/drupal/values.yaml) you find out that persistent storage is enabled by default and set to 8Gi. Also, the helm package uses MariaDB and the database size is specified to a default of 8Gi, thus setting the minimum storage for this installation to be 16Gi.
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Experience setting up Spark and Hudi on Kubernetes
We're using https://github.com/bitnami/charts/tree/main/bitnami/spark, but I have heard good things about https://github.com/GoogleCloudPlatform/spark-on-k8s-operator as well. Hudi should not need any long running deployments as per the docs https://hudi.apache.org/docs/0.5.1/deployment/#deploying
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"helm crearte" command for bitnami charts/common Library?
Bitnami has its own scaffolding published at https://github.com/bitnami/charts/tree/main/template
What are some alternatives?
tanka - Flexible, reusable and concise configuration for Kubernetes
helm-charts - A curated set of Helm charts brought to you by codecentric
kube-thanos - Kubernetes specific configuration for deploying Thanos.
oauth2-proxy - A reverse proxy that provides authentication with Google, Azure, OpenID Connect and many more identity providers.
kube-prometheus - Use Prometheus to monitor Kubernetes and applications running on Kubernetes
renovate - Home of the Renovate CLI: Cross-platform Dependency Automation by Mend.io
kustomize - Customization of kubernetes YAML configurations
pihole-kubernetes - PiHole on kubernetes
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
pack - CLI for building apps using Cloud Native Buildpacks
kubegres - Kubegres is a Kubernetes operator allowing to deploy one or many clusters of PostgreSql instances and manage databases replication, failover and backup.