DevOps is all about bringing two teams together. a company usually has a dedicated team for development and operations. DevOps allows the two teams to work together in close conjunction and deliver the final product to the customers at a lightning-fast pace.
Organizations that rely on DevOps take part in the entire infrastructure and development cycle. They have a few fundamental practices that help streamline the whole process and deliver applications to the users in the fastest time possible. To achieve such efficiency they employ a few traditional practices such as frequent updates and micro-services.
Unlike previous update schedules when apps used to receive a major update every 5-6 months the new updates deploy much faster. Though it brings only a slight change to the interface of the apps they help to bring new and innovative changes to keep their customers engaged. These updates take less time and are much more efficient at fixing minor bugs.
Microservices is a fairly new concept where complicated services are broken into smaller more manageable components. These components serve a single purpose and are developed individually, independent of the others. This way the developer won’t have to worry about the overall application’s performance at once and can focus on the individual components.
Let’s take a close look at AWS DevOps Services to see how they are similar to the core DevOps practices.
1. AWS Pipeline
The AWS pipeline helps visualize the end to end delivery process. It consists of:
- Source Code Repository- A place to hold your source code (GitHub or AWS Code Commit)
- Build service
- Configuration approvals during deployment
2. AWS CodeCommit
This is an online version control service hosting Git repositories. Code Commit can store source codes and binaries from files generated straight out of the build.
With the help of AWS Code Commit, developers can copy the code from the online repositories to their hard drives and then proceed to make changes. Once done, they can push back the edited file back into the repository.
3. AWS CodeBuild
The AWS CodeBuild is responsible for fetching the latest changes to the source code and implementing them to your build, according to the YML file specifications.
The commands are run in four phases namely install, pre-build, build and post-build. Once the build is complete the whole thing is stored in the AWS storage also known as an S3 bucket.
4. AWS CodeDeploy
AWS CodeDeploy as the name suggests is the last stage of the AWS DevOps cycle. Cloud computing has revolutionized the entire computing arena. You now have access to all your databases over the internet and not have to bother with personal save locations. They also have the hardware to maintain and test your applications before they are released into the real world.
Thanks to this new technological advancement companies had to change the way they operate. Being the oldest duck in the pond, AWS offers extensive services letting you manage your projects as if they were right on your personal computer.
You even get to choose your rates based on your usage and can also avail discounts if you keep using one of their services for a prolonged time. AWS has greatly implemented its experience with cloud computing over the years into a neat little package.
About Ankur Jain
Ankur is currently working as Automation Test Manager. He has 13+ years of professional experience with 8+ years of automation testing which includes Design Automation Testing Frameworks with Selenium, Appium, Protractor, Cucumber, Rest-Assured, Katalon Studio, SOAP UI and Postman. He is an ISTQB Certified Test Manager and a Certified Scrum Master as well.
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