virtual-cluster | Vagrant-based virtual cluster with shifter echosystem | Infrastructure Automation library

 by   rukkal Shell Version: Current License: No License

kandi X-RAY | virtual-cluster Summary

kandi X-RAY | virtual-cluster Summary

virtual-cluster is a Shell library typically used in Devops, Infrastructure Automation applications. virtual-cluster has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A vagrant-based virtual cluster with slurm + shifter on top of Ubuntu Trusty.
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              virtual-cluster has a low active ecosystem.
              It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              virtual-cluster has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of virtual-cluster is current.

            kandi-Quality Quality

              virtual-cluster has no bugs reported.

            kandi-Security Security

              virtual-cluster has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              virtual-cluster does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              virtual-cluster releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            virtual-cluster Key Features

            No Key Features are available at this moment for virtual-cluster.

            virtual-cluster Examples and Code Snippets

            No Code Snippets are available at this moment for virtual-cluster.

            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 virtual-cluster

            The list below provides an overview of the steps performed in the Vagrantfile. The described steps are performed inside each guest machine (controller + server). The directory "shared-folder" provided in this repository is mounted at /shared-folder inside the guest machines.
            Modify /etc/hosts so that "controller" will know the address of "server" and vice versa.
            Install various dependencies of slurm and shifter with APT.
            Install and configure munge (install-munge.sh): Install munge with APT. Copy /shared-folder/installation/munge.key to /etc/munge and change owner and permissions. WARNING: munge.key is already provided in this repository. However, for any more serious use than this insecure toy virtual cluster a new munge.key should be generated with /usr/sbin/create-munge-key.
            Install and configure slurm (install-slurm.sh): Download, build and install slurm from source. Set up a state save location for slurm in /var/lib/slurm. Set up startup scripts in /etc/init.d/slurm. Create a symlink /etc/slurm.conf to /shared-folder/installation/slurm.conf.
            Install and configure shifter (install-shifter.sh): Build and install udiRoot in /opt/shifter/udiRoot. The most important things that get installed are the shifter and shifterimg executables as well as the plugin for slurm. The shifter and shifterimg executables provide the user interface of shifter. Copy /shared-folder/installation/udiRoot.conf to /etc/shifter/udiRoot.conf. The file udiRoot.conf provides most of the configuration details of shifter. Configure slurm to use the shifter plugin. This is achieved through the configuration file /etc/plugstack.conf. Install image gateway: Set up a python virtual environment in /opt/shifter/imagegw where the image gateway will be executed. Create a symlink /etc/shifter/imagemanager.json to /shared-folder/installation/imagemanager.json. The file imagemanager.json provides configuration details of the image gateway. Set up startup scripts in /etc/init.d.

            Support

            ###Provisioning It might occur that the provision partially goes wrong because of short unavailabilities of the APT service. In such cases the easiest solution is running the provision again:.
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            https://github.com/rukkal/virtual-cluster.git

          • CLI

            gh repo clone rukkal/virtual-cluster

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            git@github.com:rukkal/virtual-cluster.git

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