terra-cli | To install the latest version | Infrastructure Automation library

 by   DataBiosphere Java Version: 0.358.0 License: BSD-3-Clause

kandi X-RAY | terra-cli Summary

kandi X-RAY | terra-cli Summary

terra-cli is a Java library typically used in Devops, Infrastructure Automation, Terraform applications. terra-cli has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

The status command prints details about the current workspace and server. The version command prints the installed version string. The gcloud, git, gsutil, bq, and nextflow commands call third-party applications in the context of a Terra workspace. The resolve command is an alias for the terra resource resolve command.
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            kandi-support Support

              terra-cli has a low active ecosystem.
              It has 12 star(s) with 4 fork(s). There are 25 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 0 have been closed. There are 12 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of terra-cli is 0.358.0

            kandi-Quality Quality

              terra-cli has no bugs reported.

            kandi-Security Security

              terra-cli has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              terra-cli is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              terra-cli releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed terra-cli and discovered the below as its top functions. This is intended to give you an instant insight into terra-cli implemented functionality, and help decide if they suit your requirements.
            • Update a bucket in the workspace
            • Adds a new GCS bucket to the workspace
            • Add a controlled GCS bucket to the workspace
            • Add a controlled dataset to the workspace
            • Adds a referenced database to the workspace
            • Update a BigQuery dataset in the workspace
            • Add a controlled GCP Notebook instance to the workspace
            • Updates a GCP notebook
            • Adds a referenced GCS bucket object to the workspace
            • Update a bucket object
            • Demonstrates how to create a new SSH key
            • Run the command
            • Prints out information about this instance
            • Update the environment
            • Deserializes a resource
            • Executes the command to build the command
            • Executes the command
            • Runs a tool command inside a Docker container
            • Builds a shell command string for the gcloud configuration
            • Resolve a GCS resource
            • Runs a tool command in a local process
            • Execute the generate Cromwell config
            • Adds a referenced BigQuery DataTable to the workspace
            • Print out this object
            • Perform a list of resources
            • Grants the break - glass access to the current workspace
            Get all kandi verified functions for this library.

            terra-cli Key Features

            No Key Features are available at this moment for terra-cli.

            terra-cli Examples and Code Snippets

            No Code Snippets are available at this moment for terra-cli.

            Community Discussions

            QUESTION

            Create CloudFormation Yaml from existing RDS DB instance (Aurora PostgreSQL)
            Asked 2020-Jun-05 at 00:59

            I have an RDS DB instance (Aurora PostgreSQL) setup in my AWS account. This was created manually using AWS Console. I now want to create CloudFormation template Yaml for that DB, which I can use to create the DB later if needed. That will also help me replicate the DB in another environment. I would also use that as part of my Infrastructure automation.

            ...

            ANSWER

            Answered 2020-Jun-05 at 00:59

            Unfortunately, there is no such functionality provided by AWS.

            However, you mean hear about two options that people could wrongfully recommend.

            CloudFormer

            CloudFormer is a template creation beta tool that creates an AWS CloudFormation template from existing AWS resources in your account. You select any supported AWS resources that are running in your account, and CloudFormer creates a template in an Amazon S3 bucket.

            Although it sounds good, the tool is no longer maintained and its not reliable (for years in beta).

            Importing Existing Resources Into a Stack

            Often people mistakenly think that this "generates yaml" for you from existing resources. The truth is that it does not generate template files for you. You have to write your own template which matches your resource exactly, before you can import any resource under control to CloudFormation stack.

            Your only options is to manually write the template for the RDS and import it, or look for an external tools that could reverse-engineer yaml templates from existing resources.

            Source https://stackoverflow.com/questions/62206364

            QUESTION

            Azure DevOps CI with Web Apps for Containers
            Asked 2020-Mar-16 at 08:59

            I'm struggling to set up a CI process for a web application in Azure. I'm used to deploying built code directly into Web Apps in Azure but decided to use docker this time.

            In the build pipeline, I build the docker images and push them to an Azure Container Registry, tagged with the latest build number. In the release pipeline (which has DEV, TEST and PROD), I need to deploy those images to the Web Apps of each environment. There are 2 relevant tasks available in Azure releases: "Azure App Service deploy" and "Azure Web App for Containers". Neither of these allow the image source for the Web App to be set to Azure Conntainer Registry. Instead they take custom registry/repository names and set the image source in the Web App to Private Registry, which then requires login and password. I'm also deploying all Azure resources using ARM templates so I don't like the idea of configuring credentials when the 2 resources (the Registry and the Web App) are integrated already. Ideally, I would be able to set the Web App to use the repository and tag in Azure Container Registry that I specify in the release. I even tried to manually configure the Web Apps first with specific repositories and tags, and then tried to change the tags used by the Web Apps with the release (with the tasks I mentioned) but it didn't work. The tags stay the same.

            Another option I considered was to configure all Web Apps to specific and permanent repositories and tags (e.g. "dev-latest") from the start (which doesn't fit well with ARM deployments since the containers need to exist in the Registry before the Web Apps can be configured so my infrastructure automation is incomplete), enable "Continuous Deployment" in the Web Apps and then tag the latest pushed repositories accordingly in the release so they would be picked up by Web Apps. I could not find a reasoble way to add tags to existing repositories in the Registry.

            What is Azure best practice for CI with containerised web apps? How do people actually build their containers and then deploy them to each environment?

            ...

            ANSWER

            Answered 2020-Mar-16 at 08:59

            Just set up a CI pipeline for building an image and pushing it to a container registry.

            You could then use both Azure App Service deploy and Azure Web App for Containers task to handle the deploy.

            The Azure WebApp Container task similar to other built-in Azure tasks, requires an Azure service connection as an input. The Azure service connection stores the credentials to connect from Azure Pipelines or Azure DevOps Server to Azure.

            I'm also deploying all Azure resources using ARM templates so I don't like the idea of configuring credentials when the 2 resources (the Registry and the Web App)

            You could also be able to Deploy Azure Web App for Containers with ARM and Azure DevOps.

            How do people actually build their containers and then deploy them to each environment?

            Kindly take a look at below blogs and official doc which may be helpful:

            Source https://stackoverflow.com/questions/60693622

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install terra-cli

            To install the latest version:.
            DOCKER_NOT_AVAILABLE (default) to skip pulling the Docker image
            DOCKER_AVAILABLE to pull the image (requires Docker to be installed and running).
            Java 11
            Docker 20.10.2 (Must be running if installing in DOCKER_AVAILABLE mode)
            curl, tar, gcloud (For install only)
            terra auth login launches an OAuth flow that pops out a browser window to complete the login.
            If the machine where you're running the CLI does not have a browser available to it, then use the manual login flow by setting the browser flag terra config set browser MANUAL. See the Authentication section below for more details.
            gcloud - Make sure you have Python installed, then download the .tar.gz archive file from the installation page. Run gcloud version to verify the installation.
            gsutil - included in the gcloud CLI, or available separately here. Verify the installation with gsutil version (also printed as part of gcloud version)
            bq - included with gcloud. More details are available here. Similarly, verify the installation with bq version.
            nextflow - Install by downloading a bash script and running it locally. Create a nextflow directory somewhere convenient (e.g. $HOME/nextflow) and switch to it. Then do curl -s https://get.nextflow.io | bash. Finally, move the nextflow executable script to a location on the $PATH: sudo mv nextflow /usr/local/bin/. Verify the installation with nextflow -version.
            git - Follow instruction here for installing Git on different platform.
            Download the terra-cli.tar install package directly from the GitHub releases page.
            Unarchive the tar file.
            Run the install script from the unarchived directory: ./install.sh

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/DataBiosphere/terra-cli.git

          • CLI

            gh repo clone DataBiosphere/terra-cli

          • sshUrl

            git@github.com:DataBiosphere/terra-cli.git

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