helm-charts
charts
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helm-charts | charts | |
---|---|---|
6 | 88 | |
596 | 8,391 | |
1.3% | 2.5% | |
5.0 | 10.0 | |
14 days ago | 2 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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Connecting OpenSearch to Keycloak
Before we can authenticate OpenSearch against Keycloak, we'll need to install Keycloak. The following Ansible snippet demonstrates how to deploy Keycloak onto a Kubernetes cluster using the codecentric helm chart.
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sso at home?
HA Keycloak on top of Kubernetes https://github.com/codecentric/helm-charts/tree/master/charts/keycloak I dropped the chart db in favor of https://github.com/zalando/postgres-operator
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Keycloak behind nginx ingress in k8s. Wrong redirect.
Yeah this error suggests that the ingress is not correctly configured to forward the given information. Maybe take a look at some keycloak helm chart e.g. https://github.com/codecentric/helm-charts/blob/master/charts/keycloak/templates/ingress.yaml
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Homelab: Cluster Architecture
Having experienced the issue of identity management in past projects (I've literally published 5 web apps which became some iteration of user-profile applications), I found Keycloak to be of particular use when it comes to managing users and federating accounts. Keycloak is an open-sourced enterprise service which manages identity, authentication, authorization, and account federation which is part of the JBoss project and backed by RedHat. Since I wanted to use the Keycloak helm chart the Keycloak service runs using a Postgres backend.
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Auth0 Down
Yeah, it's not the easiest thing in the world to get up and running but not quite as hard as it might seem at first look. If you are already using k8s then you can use https://github.com/codecentric/helm-charts/tree/master/chart... to deploy Keycloak fairly easily. If you're not using k8s then it is probably more of an undertaking.
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Keycloak + Istio Gateway - letting Istio do TLS
https://github.com/codecentric/helm-charts/tree/master/charts/keycloak#running-keycloak-behind-a-reverse-proxy
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?
postgres-operator - Postgres operator creates and manages PostgreSQL clusters running in Kubernetes
oauth2-proxy - A reverse proxy that provides authentication with Google, Azure, OpenID Connect and many more identity providers.
renovate - Universal dependency automation tool.
keycloak-theme-sample - Sample Keycloak Theme
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
helm-nifi - Helm Chart for Apache Nifi
kube-thanos - Kubernetes specific configuration for deploying Thanos.
bank-vaults - A Vault swiss-army knife: A CLI tool to init, unseal and configure Vault (auth methods, secret engines).
kubegres - Kubegres is a Kubernetes operator allowing to deploy one or many clusters of PostgreSql instances and manage databases replication, failover and backup.
k3s-home-cluster - Sets up a Kubernetes cluster using Ansible
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.