In particular, Git as the version control system where to store our source code, and the availability of Git-hosting services (such as GitHub, GitLab and BitBucket) which trigger events when new code is pushed into the repository, enable to benefit from the following processes: Managing and automating software deployment involves both tools and processes. Introduction To Continuous Integration, Delivery, And Deployment By automating all the tasks to execute, we will not dread doing the deployment (and having a trembling sweaty finger when pressing the Enter button), indeed we may not be even aware of it.Īutomation improves the quality of our work, since we can avoid having to manually execute mind-numbing tasks again and again, which will enable us to use all our time for coding, and reassures us that the deployment will not fail due to human errors (such as overriding the wrong folder as in the old FTP days). How can we avoid getting overwhelmed by the complexity of the task at hand? The solution boils down to a single word: Automation. Nowadays, a typical web project may require to execute build tools to compress assets and generate the deliverable files for production, upload the assets to a CDN and invalidate stale ones, execute a test suite to make sure the code has no errors (for both client and server-side code), do database migrations (and, to be on the safe side, first execute a backup of the database), instantiate the desired number of servers behind a load balancer and deploy the application to them (through an atomic deployment, so that the website is always available), download and install the dependencies, deploy serverless functions, and finally notify the team that everything is ready through Slack or by email.Īll this process sounds like a bit too much, right? Well, it actually is too much. But those days are gone: Websites have gotten very complex, involving many tools and technologies in their stacks. (This is a sponsored article.) Managing the deployment of a website used to be easy: It simply involved uploading files to the server through FTP and you were pretty much done. In this article, let’s take a closer look at Buddy, one of the most comprehensive tools for automating website deployments. While building we will also be adding a tag that will help us find the docker image later on.The typical website stack has gotten complex, involving many tools and technologies, and requiring automation to handle its deployment adequately. We have our Dockerfile ready, all we have to do is now build our docker image. All we have to do is now build and run the docker image. Note that there are various instructions that you can put in your Dockerfile which will give you more control over your docker image, you can read more them about them in the Dockerfile reference. # And then the final command to start our project with npm start: # The app that I am running uses the port 3000, we will be using EXPOSE instruction so that it can be mapped by the docker daemon: # Copy the source code inside your working directory to the docker image by running: # After this we have to run npm install so that we can set up our node environment: # Copy the file package.json to the working directory with the following command: # Now we have to set this directory as our working directory: # Alright now the next instruction we will be adding will create a directory for our project.
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