secrets-store-csi-driver-provider-azure
kind
Our great sponsors
secrets-store-csi-driver-provider-azure | kind | |
---|---|---|
5 | 182 | |
425 | 12,767 | |
0.7% | 1.6% | |
7.4 | 8.9 | |
2 days ago | 8 days ago | |
Go | Go | |
MIT License | 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.
secrets-store-csi-driver-provider-azure
- One main source of vulnerabilities in DevOps pipelines is how secrets like keys, certificates, and credentials are managed. Many product engineering teams, for the sake of expediency, hard-code their secrets. This is extremely dangerous.
-
Shhhh... Kubernetes Secrets Are Not Really Secret!
The driver can also sync changes to secrets. The driver currently supports Vault, AWS, Azure, and GCP providers. Secrets Store CSI Driver can also sync provider secrets as Kubernetes secrets; if required, this behavior needs to be explicitly enabled during installation.
-
A better way to manage secrets: reference an external secret defined in the cloud provider environment (please support the idea or give your feedback)
Azure SS-CSI driver
-
Kubernetes with Asp.NET and React and Azure DevOps
Azure Key Vault Provider for Secrets Store CSI Driver allows you to get secret contents stored in an Azure Key Vault instance and use the Secrets Store CSI driver interface to mount them into Kubernetes pods.
-
Service for storing API keys and Kubernetes secrets
Key vault is a good Azure native option. Take look at the secret store CSI driver for Azure https://github.com/Azure/secrets-store-csi-driver-provider-azure
kind
-
How to distribute workloads using Open Cluster Management
To get started, you'll need to install clusteradm and kubectl and start up three Kubernetes clusters. To simplify cluster administration, this article starts up three kind clusters with the following names and purposes:
-
15 Options To Build A Kubernetes Playground (with Pros and Cons)
Kind: is a tool for running local Kubernetes clusters using Docker container "nodes." It was primarily designed for testing Kubernetes itself but can also be used for local development or continuous integration.
-
Exploring OpenShift with CRC
Fortunately, just as projects like kind and Minikube enable developers to spin up a local Kubernetes environment in no time, CRC, also known as OpenShift Local and a recursive acronym for "CRC - Runs Containers", offers developers a local OpenShift environment by means of a pre-configured VM similar to how Minikube works under the hood.
-
K3s Traefik Ingress - configured for your homelab!
I recently purchased a used Lenovo M900 Think Centre (i7 with 32GB RAM) from eBay to expand my mini-homelab, which was just a single Synology DS218+ plugged into my ISP's router (yuck!). Since I've been spending a big chunk of time at work playing around with Kubernetes, I figured that I'd put my skills to the test and run a k3s node on the new server. While I was familiar with k3s before starting this project, I'd never actually run it before, opting for tools like kind (and minikube before that) to run small test clusters for my local development work.
-
Mykube - simple cli for single node K8S creatiom
Features compared to https://kind.sigs.k8s.io/
-
Hacking in kind (Kubernetes in Docker)
Kind allows you to run a Kubernetes cluster inside Docker. This is incredibly useful for developing Helm charts, Operators, or even just testing out different k8s features in a safe way.
-
Choosing the Next Step: Docker Swarm or Kubernetes After Mastering Docker?
Check out KinD
-
K3s – Lightweight Kubernetes
If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.
You can also use k3s; it's hella easy to get started with and it works great.
-
Two approaches to make your APIs more secure
We'll install APIClarity into a Kubernetes cluster to test our API documentation. We're using a Kind cluster for demonstration purposes. Of course, if you have another Kubernetes cluster up and running elsewhere, all steps also work there.
-
observing logs from Kubernetes pods without headaches
yes I know there is lens, but it does not allow me to see logs of multiple pods at same time and what is even more important it is not friendly for ephemeral clusters - in my case with help of kind I am recreating whole cluster each time from scratch
What are some alternatives?
vault-secrets-operator - Create Kubernetes secrets from Vault for a secure GitOps based workflow.
minikube - Run Kubernetes locally
bank-vaults - A Vault swiss-army knife: A CLI tool to init, unseal and configure Vault (auth methods, secret engines).
k3d - Little helper to run CNCF's k3s in Docker
ingress-nginx - Ingress-NGINX Controller for Kubernetes
lima - Linux virtual machines, with a focus on running containers
truenas-csp - TrueNAS Container Storage Provider for HPE CSI Driver for Kubernetes
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
secrets-store-csi-driver - Secrets Store CSI driver for Kubernetes secrets - Integrates secrets stores with Kubernetes via a CSI volume.
colima - Container runtimes on macOS (and Linux) with minimal setup
explore - Community-curated topic and collection pages on GitHub
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...