kubernetes-the-hard-way-terraform | Terraform-defined implementation | Infrastructure Automation library
kandi X-RAY | kubernetes-the-hard-way-terraform Summary
kandi X-RAY | kubernetes-the-hard-way-terraform Summary
kubernetes-the-hard-way-terraform is a Shell library typically used in Devops, Infrastructure Automation, Terraform applications. kubernetes-the-hard-way-terraform has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.
Terraform-defined implementation of Kelsey Hightower's "Kubernetes The Hard Way" tutorial.
Terraform-defined implementation of Kelsey Hightower's "Kubernetes The Hard Way" tutorial.
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Quality
Security
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kubernetes-the-hard-way-terraform has a low active ecosystem.
It has 60 star(s) with 33 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 1 have been closed. On average issues are closed in 5 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of kubernetes-the-hard-way-terraform is current.
Quality
kubernetes-the-hard-way-terraform has 0 bugs and 0 code smells.
Security
kubernetes-the-hard-way-terraform has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
kubernetes-the-hard-way-terraform code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
kubernetes-the-hard-way-terraform is licensed under the MPL-2.0 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
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kubernetes-the-hard-way-terraform releases are not available. You will need to build from source code and install.
Installation instructions are available. Examples and code snippets are not available.
It has 562 lines of code, 0 functions and 5 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
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kubernetes-the-hard-way-terraform Key Features
No Key Features are available at this moment for kubernetes-the-hard-way-terraform.
kubernetes-the-hard-way-terraform Examples and Code Snippets
No Code Snippets are available at this moment for kubernetes-the-hard-way-terraform.
Community Discussions
Trending Discussions on kubernetes-the-hard-way-terraform
QUESTION
Terraform 0.11 google_compute_instance file provisionner ssh authentication failure
Asked 2019-Dec-02 at 14:09
I'm attempting to deploy k8s "the hard way" using a terraform deployment. Please find the repo here: https://github.com/aidanSoles/kubernetes-the-hard-way-terraform
It was written using Terraform 0.11 so I elected not to upgrade the code to 0.12.
The deployment creates Google Cloud Platform virtual machines and attempts to run scripts on them.
The error message I get when applying the configuration is:
...ANSWER
Answered 2019-Dec-02 at 14:09Regarding the documentation:
I have followed that guide and confirm that it's working.
I have attempted that with terraform-0.11.14 . It appeared that the config files aren't compatible with terraform 0.12 at the moment.
Regarding the error:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install kubernetes-the-hard-way-terraform
If you don't already have one, sign up for a Google Cloud Platform account.
Download the gcloud command-line tool.
Create a project in GCP named k8s-the-hard-way-tf.
On the command line, run: gcloud init to set up your account credentials/project details to point at the newly created project.
Create a service account (IAM & admin > Service accounts > + CREATE SERVICE ACCOUNT) in the k8s-the-hard-way-tf project with Owner permissions, create/download the *.json credentials generated by the service account, and place them in a safe location on your local machine.
Set your Google Application credentials using: export GOOGLE_APPLICATION_CREDENTIALS=<path-to-your-credentials-json>.
Go to the certs directory, and run the create-ca.sh script, followed by the gen-certs.sh script. This will create a self-signed CA, and create/sign all of the generated certs with that CA.
Go to the configs directory, and run the gen-config.sh script. This will create the encryption configuration for the new Kubernetes cluster.
Add a public ssh key to your project metadata (Compute Engine > Metadata > SSH Keys) using the format <protocol> <key-blob> <username@example.com>. The virtual machines you spin up will inherit this public key and allow the remote-exec provisioners to work.
Fill in the variables in variables.tf that have TODO next to them.
OPTIONAL: Edit the GitHub usernames in scripts/add-ssh-keys.sh to give trusted colleagues/friends access to the machines in your Kubernetes cluster (see the Motivation section for more details).
Run: terraform init to initialize Terraform.
Run: terraform plan to see the planned changes that Terraform will make.
Run: terraform apply to create your Kubernetes cluster. NOTE: The first terraform apply might fail because the Compute Engine API has not been used in project before. Follow the link provided in the error message (should be something like https://console.developers.google.com/apis/api/compute.googleapis.com/overview?project=0123456789) and click ENABLE. After the API is enabled, rerun terraform apply.
Configure kubectl to use the new cluster by running the configure-kubectl script.
Run kubectl get cs (or another related command) to test the cluster's component statuses.
Download the gcloud command-line tool.
Create a project in GCP named k8s-the-hard-way-tf.
On the command line, run: gcloud init to set up your account credentials/project details to point at the newly created project.
Create a service account (IAM & admin > Service accounts > + CREATE SERVICE ACCOUNT) in the k8s-the-hard-way-tf project with Owner permissions, create/download the *.json credentials generated by the service account, and place them in a safe location on your local machine.
Set your Google Application credentials using: export GOOGLE_APPLICATION_CREDENTIALS=<path-to-your-credentials-json>.
Go to the certs directory, and run the create-ca.sh script, followed by the gen-certs.sh script. This will create a self-signed CA, and create/sign all of the generated certs with that CA.
Go to the configs directory, and run the gen-config.sh script. This will create the encryption configuration for the new Kubernetes cluster.
Add a public ssh key to your project metadata (Compute Engine > Metadata > SSH Keys) using the format <protocol> <key-blob> <username@example.com>. The virtual machines you spin up will inherit this public key and allow the remote-exec provisioners to work.
Fill in the variables in variables.tf that have TODO next to them.
OPTIONAL: Edit the GitHub usernames in scripts/add-ssh-keys.sh to give trusted colleagues/friends access to the machines in your Kubernetes cluster (see the Motivation section for more details).
Run: terraform init to initialize Terraform.
Run: terraform plan to see the planned changes that Terraform will make.
Run: terraform apply to create your Kubernetes cluster. NOTE: The first terraform apply might fail because the Compute Engine API has not been used in project before. Follow the link provided in the error message (should be something like https://console.developers.google.com/apis/api/compute.googleapis.com/overview?project=0123456789) and click ENABLE. After the API is enabled, rerun terraform apply.
Configure kubectl to use the new cluster by running the configure-kubectl script.
Run kubectl get cs (or another related command) to test the cluster's component statuses.
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