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We are using JIRA Software and JIRA Service Desks in our company.
I am new to JIRA and i want to ask if it is possible to create a test environment for a few projects or service desks? If yes, how can i set it up ?
Mfg
Technically, JIRA ServiceDesk is a Plugin in JIRA and it uses AO Tables. With that said, JIRA Project Export and Import doesn't support Exporting AO Tables. It means that you are not able to import ServiceDesk Projects to the other instances. You can take a look at their feature request here.
Thus, I would say it's better to clone the full production instance into a test environment. In order to do that, you have to create backup from home directory, installation directory and database and restore them into a test instance. Full steps are available here in Atlassian Documentations.
Please note that, prior to start the staging environment you have to disable incoming and outgoing emails with the available JVM Arguments. Otherwise, new issues will create in your test servers instead of production.
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One of web tools we intend to use requires docker for installation. Due to limitation in resources, however, the only way for us to deploy this tool is on a shared university php webserver with an associated MySQL database. My question is, can you somehow convert or even "compile" this docker-dependent tool to get some simple package, similar, for instance, to Wordpress? Indeed, as per my understanding, Wordpress development does require docker, while the final package for Wordpress installation does not.
Is this operation of docker-removal possible and is there a standardised workflow? The tool in question is located in the following repository.
I have tried to install the tool as is, being blocked by the lack of admin privileges and the absence of docker on the described university webserver. I have experience in setting up Wordpress, I would expect for my tool of interest to have a more sophisticated installation process (compared to the current 3 steps) without docker and, for instance, to also require manual connection to an SQL-database.
Please excuse me for my limited understanding and layman terms, I am sadly not coming from a computer science background.
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What is advantage of using docker in local machine for running app?
And difference without using do docker.
Reproducibility. No more "works on my machine".
Furthermore, we can deploy all our dependencies (relational database, document-based database, graph-database, messaging-system, ....) through docker (e.g. through a docker-compose file and thus eases development.
Another advantage is that - in case we deploy to a container-based environment - we can use the exact same images used in production and thus improve dev-prod-parity.
There are a lot of advantages:
You can easily install few versions of different software without any collisions (e.g. 10 versions of MongoDB).
As previous commentator said - it creates isolated environment similar to your production (the only difference is the actual number of resources, such as CPU/GPU/RAM/etc.).
Easy setup for new developers (no need to manually install each separate tool and resolve issues with installations/configuration/etc.).
Ability to quickly deploy test environments, or new servers, or deploy this app on your brand new laptop)).
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So for a schoolproject we want to use Jenkins. During the installation, Jenkins asks for service logon credentials (local/ domain accountname and the password for the account). This raised a question in the group wether Jenkins is safe to use or not, because you are giving away sensitive information.
So is Jenkins safe to use? Could somebody also give a explanation why it is safe to use (How it works exactly)
Read Securing Jenkins
Create a service account (needs logonasservice) as explained here for the controller.
Have a separate account to run the agents under. Use a third to access the source control system (use credentials plugin).
Your admins can restrict where the accounts can run and what privileges the have. Do NOT run as system or root (inside Docker is OK) and it's fine.
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I need to migrate our online VSTS to our own self-hosted TFS 2017 server.
Is there a way to do it and preserve history?
No, there currently is no easy way to move from Azure DevOps (formerly VSTS) back to Azure DevOps Server (formerly TFS) with full fidelity.
There are tools that can migrate work items over. There are tools that can migrate git over. There are tools that can migrate TFVC over (but all IDs change)... But there are so many other things potentially in your Team Projects (like Test results, builds, package management etc)...
In the end getting (mostly) everything from Azure DevOps into Azure DevOps Server should be doable, but you may loose links between items, lose some history and will likely reset dates and author data in the process.
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I am developing a Ruby on Rails app, and am working with a designer who is not very experienced with rails or with git. I'm new to using git on a team, but I've used it on my own projects for a while.
What is the easiest way to manage allowing the designer to make the CSS/view edits and push the changes to our git repo, while also being able to review and approve the changes?
Thanks!
In my team, we use Vagrant for providing a VM that runs the same everywhere. It requires a bit of configuration before it works properly.
We use Github along with Hub to create easy pull-requests. The requests can then be reviewed and merged with the GUI provided on Github website.
The process is then as following:
Connect to the VM
Create a feature branch with git checkout -b new-branch (from UTD master)
Commit and push your code
Create the pull-request with hub pull-request [options]
Get the code reviewed and merged on Github
To make it easier, you can add whichever git GUI to the process, but I find the command-line to be extremely efficient and it requires little knowledge for the process you seek.
A combination of Vagrant, which you can use to package up an easy-to-run version of the application, combined with a Git GUI client makes it a lot easier for a non-programmer designer to work on your project.