Continuous Integration, Delivery, and Deployment with AWS Pipeline
Continuous Integration, Delivery, and Deployment with AWS Pipeline
Learn to set up a continuous integration and continuous delivery (CI/CD) pipeline on AWS with the help of industry-leading tools and experts
Program Overview
CI/CD (Continuous Integration/Continuous Deployment) is a set of practices that involve automatically building, testing, and deploying software changes. AWS provides several services that can be used to create a CI/CD pipeline, including CodeCommit, CodeBuild, CodeDeploy, and CodePipeline.
Uptut's professional training course on CI/CD with AWS is designed to equip professionals with the necessary skills to implement Continuous Integration and Continuous Deployment (CI/CD) pipelines using AWS services. The course targets corporate clients who wish to train their employees on using AWS for CI/CD.
Uptut offers customizable options, which means that it can be tailored to the specific needs of corporate clients. The course can be customized in terms of the course content, delivery format, and duration, among other factors
Faster Time to Market: CI/CD pipelines enable faster and more frequent releases, reducing the time to market for new products or features.
Increased Efficiency: CI/CD pipelines automate the build, test, and deployment processes, reducing the time and effort required to release new features or updates.
Cost-Effective: AWS provides cost-effective solutions for CI/CD pipelines, allowing businesses to save money on infrastructure and maintenance costs.
Make Your Team Proficient
Training Objectives
Understanding the fundamentals of CI/CD
Learn AWS services for CI/CD
Learn how to automate builds, tests, and deployments
Understanding infrastructure as code
Learn to monitor and troubleshoot pipelines
Understanding the security and compliance considerations involved in implementing CI/CD pipelines
Hands-on Experience with Tools
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Core Training Modules
1. Setting up a pipeline
This involves configuring the different services involved in the pipeline (such as CodeCommit, CodeBuild, CodeDeploy, and CodePipeline) and defining the stages and triggers for the pipeline.
2. Building and testing code
This involves using CodeBuild to compile, test, and package your code, and using CodeDeploy to deploy your code to a test environment.
3. Deploying code
This involves using CodeDeploy to deploy your code to a production environment, and configuring automatic or manual approvals before deploying to production.
4. Managing and monitoring the pipeline
This involves monitoring the pipeline to ensure that it is working as expected, and taking action if there are any issues. This can include troubleshooting, debugging, and reporting on the pipeline.
5. Integrating with other services
This involves integrating the pipeline with other services and tools, such as GitHub, Jenkins, and Slack, to streamline your software development process.
6. Configuration management
This involves managing the pipeline configuration and infrastructure as code, allowing for better versioning, collaboration, and rollbacks of the pipeline
7. Security
This involves ensuring that the pipeline and your code are secure, by implementing encryption, access controls, and network isolation.
8. Continuous Delivery
This involves automating the delivery of software changes to a production environment, with the aim of releasing new features and bug fixes to customers as quickly as possible.
9. Continuous Integration
This involves automatically building and testing code changes as soon as they are committed to the source control repository, to catch and fix integration issues as early as possible.
10. Containerization
This involves using containers (such as Docker) to package and deploy your code, which makes it easier to deploy and manage your application, especially if you need to move it between different environments.
11. Canary Deployment
This involves deploying new versions of the software to a small group of users before rolling it out to the entire user base, which allows you to test the new version in a production environment before deploying it to all users.
12. Blue-green Deployment
This involves having two identical production environments, one called "blue" and the other called "green". The blue environment is live and serving traffic while the green environment is idle.
How does personalized training work?
01
Analyzing skill gap and assessing business requirements
02
Customising curriculum with core and additional modules to fit objectives
03
Supporting learning implementation with consulting
Who will benefit from this training?
Developers
DevOps Engineers
Release Managers
Quality Assurance (QA) Team
Security Team
Operations Team
Data Scientists/Engineers
Business Analysts
Data Scientists/Engineers
Is this training right for your team?
Take the AWS open assessment for teams to see how this training fits into the development of your workforce.
Frequently Asked Questions- Answered!
1. What are the pre-requisites for this training?
2. Will my team get any practical experience with this training?
3. What is your mode of delivery - online or on-sight?
4. Will trainees get certified?
5. What do we do if we need further support after the training?
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