While learning about the DevOps Lifecycle, if you ask any experienced engineers about this, they will give five different answers for this. The usual diagram is an infinity loop with eight boxes, which looks neat but doesn’t tell you what people do all day. On AWS, each stage will show the real services and real habits.
In this article, we have discussed in detail what this looks like in reality. If you are thinking of becoming an AWS Certified DevOps Engineer, it is essential for you to learn about this cycle. Taking the course can help a lot, whether it is in-class or online.
The AWS DevOps Lifecycle, Stage by Stage
Stage 1: Plan
This could be a bug, a feature, or anything else. So most of the teams will try to track the same in Jira, Trello or GitHub. So keeping your tasks small will make it easy to make changes to test and release. If any of them go wrong, you can also undo this,
Stage 2: Code
The code goes into Git, usually on GitHub, GitLab or Bitbucket. Some teams used AWS CodeCommit, but AWS closed it to new customers in 2024, so you probably won’t start a new project with it. If you want your repository to work with AWS, that’s what CodeConnections is for.
Everyone works on their own branch, so one person’s half-finished work doesn’t break the main code. When they’re done, they open a pull request. Someone else looks it over, and then it gets merged.
Stage 3: Build
When the code is finally merged, AWS CodeBuild will choose this. It has a file called buildspec. YAML, which will guide you about what to do. Usually, this may install the packages that an app needs, run the unit tests, and then build the final package. If the app is running in a container, then the build will create a Docker image. This image will be saved in Amazon ECR.
Stage 4: Test
Testing is not a single process. This will happen in different stages.
● Unit tests run during the build.
● Integration and API tests run in a staging setup.
● Security scans look for known problems in your code, libraries, and Docker images.
Don’t skip staging, and make it look as much like production as you can. I have seen releases fail even though every test passed. The reason was that staging had a smaller database and different network rules.
Stage 5: Release
The tests passed, so now the code has to get to production. CodePipeline does that. You set up the flow once, and after that the code moves from build to test to approval to live without anyone carrying it across.
You can add an approval step before production, where a person has to click “approve”. Banks and hospitals often have to do this. When an auditor asks who okayed a release and when, you have the answer ready.
Stage 6: Deploy
The code has passed its tests, and now it has to reach real servers. AWS CodeDeploy does this job. It works with EC2, ECS, Lambda, and even servers you run yourself.
How you roll out the new version matters as much as the version itself. There are three common ways.
The simplest is a rolling update. You update a few servers, wait, then do the next few. Most of your servers keep serving users the whole time, so nobody sees downtime. The catch is that for a while, some users get the old version, and some get the new one.
Blue/green is safer. You leave the old version running and start the new version next to it. When the checks pass, you switch users over. If something looks wrong, you switch back in seconds. It costs more because you pay for two sets of servers for a short time, but many teams think it’s worth it for important apps.
Canary is the careful option. You send the new version to a small group first, maybe 10 percent of users, and watch for errors. If it all looks fine, you open it up to everyone. If it doesn’t, only a few people were affected.
Stage 7: Operate
Once the app is live, you have to keep it healthy. Traffic is never steady. A sale or a news mention can triple your users in an hour, and a quiet night can leave most of your servers doing nothing. Auto Scaling handles this. It adds servers when load goes up and removes them when it drops, so you don’t pay for machines you don’t need.
Servers also need regular patching. Doing that one machine at a time is slow, and people forget. With Systems Manager, you can patch or run a command on hundreds of servers at once.
Last, watch your spending. Add cost tags to your resources, and AWS Budgets can tell you which project or team is using how much money. It is much better to find a surprise bill in week two than at the end of the month.
Stage 8: Monitor
If your users find a problem before you do, your monitoring isn’t working.
When a page feels slow, X-Ray helps you find the reason. It follows one request as it moves through your services and shows where the time went. Maybe it was the database, or maybe another service that was slow to answer.
CloudTrail keeps a record of who did what in your AWS account. If a security group changed or a server was deleted, this is where you look.
Skills needed
The main skills are:
● Linux and shell scripting
● Git and branching
● Python or Bash
● Docker and basic Kubernetes
● CloudFormation, CDK or Terraform
● AWS IAM, VPC and networking
● CI/CD pipeline design
● Logging and monitoring
How to choose an AWS DevOps course
A good AWS DevOps course should have practical labs, not only theory. The syllabus should include:
● Building a pipeline with CodePipeline, CodeBuild, and CodeDeploy
● Writing CloudFormation or Terraform templates
● Deploying containers on ECS or EKS
● Setting up CloudWatch logs and alarms
● Handling failed builds and rollbacks
If you are looking to apply DevOps training options, check these points:
● Each student gets an AWS account or sandbox.
● The trainer has real project experience.
● The content covers current AWS services.
● Certification and interview support are included.
● A demo class is available.
Why Take Training in Hyderabad?
Hyderabad is one of the best places to learn these valuable, skill-based courses. It is one of the biggest IT hubs in India. So they have openings for cloud engineers and DevOps engineers. So taking AWS DevOps training in Hyderabad will bring you closer to them. If you are a working professional, you can enroll in online training or weekend batches. Before you join, compare the syllabus, kab access, trainer profile, everything.
Conclusion
Your AWS DevOps Lifecycle will cover everything, beginning from planning, coding, building, testing, releasing, deploying, operating, and monitoring. AWS provides services for each stage, and CodePipeline connects them through an automated process. Learning these tools with hands-on practice, along with the AWS Certified DevOps Engineer certification, opens good job options in cloud and DevOps.