cloud-foundation-training
k8s-config-connector
cloud-foundation-training | k8s-config-connector | |
---|---|---|
1 | 12 | |
94 | 836 | |
- | 2.0% | |
5.6 | 9.9 | |
21 days ago | 1 day ago | |
HCL | 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.
cloud-foundation-training
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It's worth apply the CFT (Cloud Foundation Toolkit) with terraform in an gcp org that is already running workloads?
We are trying to apply IaC to new projects. Today we only have 1 project within an organization, 1 VPC with 2 GKE, prod and dev, all done manually as the company grew. Studying further, I found good GCP practices and came across this CFT guy (https://github.com/terraform-google-modules/cloud-foundation-training), where the ideal would be to have 1 project for dev and another for prod, I would like to know if it is worth using this project to confirm the bootstrap, for example, and start new projects in this way, or if we continue to focus on the manual model that it is today?
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.
- We’re the engineers rethinking Kubernetes at Spotify. Ask us anything!
What are some alternatives?
terraform-example-foundation - Shows how the CFT modules can be composed to build a secure cloud foundation
backstage - Backstage is an open platform for building developer portals
terraform-google-lb-http - Creates a global HTTP load balancer for Compute Engine by using forwarding rules
crossplane - The Cloud Native Control Plane
terraform-google-kubernetes-engine - Configures opinionated GKE clusters
plural - Deploy open source software on Kubernetes in record time. 🚀
terraform-google-project-factory - Creates an opinionated Google Cloud project by using Shared VPC, IAM, and Google Cloud APIs
nydus - Nydus - the Dragonfly image service, providing fast, secure and easy access to container images.
terraform-google-network - Sets up a new VPC network on Google Cloud
community - Kubernetes community content
docker-volume-hetzner - Docker Volume Plugin for accessing Hetzner Cloud Volumes
swarmsible - Ansible based Tooling and production grade example Docker Stacks. Updated with new learnings from running Docker Swarm in production