Do you review your Pull/Merge Request before assigning Reviewers?

If you work in a team opening a Pull Request (or Merge Request) looks appropriate. However, have you ever thought about opening a Pull/Merge Request when working by yourself? Here's a checklist of things you can review in your own:

• Pick the correct target branch
• Make Drafts explicit
• Name things properly
• Ask help for tools
• Remove the noise
• Fetch necessary data
• Understand Mergeability
• Pass the message
• Add screenshots
• Be found in the future
• Comment inline in your changes

Read the blog post for more detailed explanation for each item :D

What else do you review before asking for code review?

Using an inclusive language is crucial for fostering a diverse culture. Git has changed the naming conventions to be more language-inclusive, and so you should change. Our development tools, like GitHub and GitLab, already supports the change.

SourceLevel deals very nicely with repositories that changed the master branch to a more appropriate word. Besides, you can use the grep linter the look for exclusive terms contained in the source code.

As the inclusive language gap may happen in other aspects of our lives, have you already thought about them?

One of the magic tricks git performs is the ability to rewrite log history. You can do it in many ways, but git rebase -i is the one I most use. With this command, It’s possible to switch commits order, remove a commit, squash two or more commits, or edit, for instance.

It’s particularly useful to run it before opening a pull request. It allows developers to “clean up” the mess and organize commits before submitting to review. If you follow the practice 3 and 4, then the list of commits should look very similar to a task list. It should reveal the rationale you had, telling the story of how you end up with that final code.

Out of most of the VCS solutions out there, we found Gitlab was the most feature complete with a free community edition. Their DevSecops offering is also a very robust solution. Gitlab CI/CD was quite easy to setup and the direct integration with your VCS + CI/CD is also a bonus. Out of the box integration with major cloud providers, alerting through instant messages etc. are all extremely convenient. We push our CI/CD updates to MS Teams.

Gitlab as A LOT of features that GitHub and Azure DevOps are missing. Even if both GH and Azure are backed by Microsoft, GitLab being open source has a faster upgrade rate and the hosted by gitlab.com solution seems more appealing than anything else! Quick win: the UI is way better and the Pipeline is way easier to setup on GitLab!

Heroku will be used to deploy the app as it is simple to setup and that is especially useful for an MVP. When you deploy an application, they already setup a website for you secured with HTTPS. They also have a lot of webpack and Docker support for you to bundle your app in. Github Actions will be used for the CI/CD pipeline as it easily integrates with Github. They also have “Actions” which help automate deployment workflow, and they already have one for deploying a Docker container to Heroku which we could use. Docker will be used to containerize the application as it will make our application portable and easier to deploy. This will also be beneficial for local developer environments.

GitHub is used for version control as it is a standard. GitHub is also chosen due to familiarity and additional features, such as projects, milestones, and issues.

Docker's Docker Compose is used to containerize the application, for making it easy to set up developer environments.

Google Analytics is used for tracking, especially due to the fact that it is integrated with Firebase as they are both Google products.

lxd/lxc and Docker aren't congruent so this comparison needs a more detailed look; but in short I can say: the lxd-integrated administration of storage including zfs with its snapshot capabilities as well as the system container (multi-process) approach of lxc vs. the limited single-process container approach of Docker is the main reason I chose lxd over Docker.

At DeployPlace we use self-hosted GitLab, we have chosen GitLab as most of us are familiar with it. We are happy with all features GitLab provides, I can’t imagine our life without integrated GitLab CI. Another important feature for us is integrated code review tool, we use it every day, we use merge requests, code reviews, branching. To be honest, most of us have GitHub accounts as well, we like to contribute in open source, and we want to be a part of the tech community, but lack of solutions from GitHub in the area of CI doesn’t let us chose it for our projects.

We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.

To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas

To build #Webapps we decided to use Angular 2 with RxJS

#Devops - GitHub , Travis CI , Terraform , Docker , Serverless