k8s-config-connector
crossplane
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k8s-config-connector | crossplane | |
---|---|---|
12 | 60 | |
824 | 8,728 | |
1.9% | 4.0% | |
9.8 | 9.9 | |
6 days ago | 3 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.
k8s-config-connector
- Infrastructure as Code Tool Recommendation for GCP
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It's worth apply the CFT (Cloud Foundation Toolkit) with terraform in an gcp org that is already running workloads?
If your company is k8s centric and the developers are most comfortable with k8s, you might want to focus more on something specific to k8s such as helm, or even if you don't get into helm you may want to use config connector in your yaml to manage GCP resources in an IaC compliant method. You can manage k8s resources with terraform, but if your developers are currently comfortable working directly with k8s you are going to see significant pushback getting them to add terraform as a middleware. You probably still want to manage your GKE clusters and VPCs with terraform since you can't really use config connector.
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Ask HN: Have You Left Kubernetes?
Config Connector [1] is also an option in this space for GCP, it supports many GCP resources and thus far our experience with it has been largely positive.
[1] https://cloud.google.com/config-connector/docs/overview
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As Argo CD momentum grows, Codefresh launches hosted GitOps
We use it heavily with GCP's Kubernetes Config Connector to provision architecture. It could similarly be used for Cloud Functions, etc. given a repo URL that GCP can access. GitOps + operator pattern is a pretty powerful mechanism to let k8s continuously seek state towards your ideal. https://cloud.google.com/config-connector/docs/overview
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What should I learn to improve as a data engineer?
For K8s, we were using Cloud Composer to do it for us but wanted more fine control over CI/CD, so we decided to go with Airflow on K8s. That's all hosted in GKE now and deployed using ArgoCD with helm. This also led down the IaC rabbit hole which has been a ton of fun too. We use the GCP ConfigConnector resources for that which is a little challenging at first, but gets a lot easier as time goes on.
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Best IaC platforms
Terraform is 90% of cloud IaC. But there are newer Kubernetes Operators like Config Connector that can create cloud specific resources.
- What is the story with Google Deployment Manager? Is Google going to abandon it at some point?
- Infra Provisioning, what do you guys use today?
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K8s pods security in GCP
It works particularly well with Google Config Connector as then it's all just manifests.
- Weβre the engineers rethinking Kubernetes at Spotify. Ask us anything!
crossplane
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Rethinking Infrastructure as Code from Scratch
did anyone adopt in production https://crossplane.io ?
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Understanding Crossplane is being hard
- https://github.com/crossplane/crossplane/blob/master/design/one-pager-composition-environment.md
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Automated provisioning for data resources
In the overall scheme of things , look at services like backstage.io , crossplane.io and opslevel.com to get ideas. This is not necessarily an endorsement of the services. If all you want is to handle cloud resources and that's it, Terraform can be enough with what ever flavor of web technologies you and your team are comfortable with and can support it along the way. Doesn't take much to create a js based website to collect data from a form, or use other means to collecting data as long as its recorded and transparent for accountability.
- What are some Terraform automation tools you want to exist?
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Crossplane: Unifying platform engineering based on Kubernetes API
XRs are written in a fully declarative manner. And when I am building my XR from underlying managed resources provided by some crossplane provider I need to parametrize resources, use conditionals and create arrays of resuorces The issues of declarativeness in the world of automation are well known- we typically resort to some form of templating and we invent some imperative expressions into that templating language/format. This is currently not very well supported with Crossplane however Crossplane team realizes this issue and they are conteptualizing solution here
- Anyway to automate the AKS cluster creation using Yaml?
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What options are available for using internal code from a fully open source project?
I have an idea for a project that would interface with Crossplane. The project has some code that would save tons of time if I could use it directly in my project, but it is located in the internal directory. I can't import the modules directly, but the project is open sourced under an Apache 2.0 license, so the code itself is available for use under that license.
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Azure vs AWS
There are always new projects like crossplane that sit on top on architecture systems like terraform, vagrant. The pressure to abstract away any sort of resources is mounting, companies can save a lot by for example by alt hosting S3 endpoints. The train is going the direction not to tie anything to a specific platform implementation if its not a must. Most of the companies I work with use AWS as a hosting provider, but Microsoft for github and related CI matters. As I learned, AWS quality is very dependent on location, eu-central-1 is dead stable for our use cases serving about millions requests a day.
- Crossplane on Amazon EKS with IRSA
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One multi-container deployment vs. a separate deployment for each image?
Practically, you'll be replacing stock k8s resources (deployments) with custom ones like Argo Rollouts with Keda autoscaling, so you have to plan the respective Gitops CD pipeline (fluxcd/argocd with some crossplane), as well.
What are some alternatives?
backstage - Backstage is an open platform for building developer portals
kubevela - The Modern Application Platform.
plural - Deploy open source software on Kubernetes in record time. π
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages π
nydus - Nydus - the Dragonfly image service, providing fast, secure and easy access to container images.
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
community - Kubernetes community content
terraform-cdk - Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform
docker-volume-hetzner - Docker Volume Plugin for accessing Hetzner Cloud Volumes
helm - The Kubernetes Package Manager
cloud-foundation-training
external-dns - Configure external DNS servers (AWS Route53, Google CloudDNS and others) for Kubernetes Ingresses and Services