The DevOps Deployment Pipeline: Managing Releases Using AWS Pipelines
DevOps
| Intermediate
- 15 Videos | 1h 25m 3s
- Includes Assessment
- Earns a Badge
AWS CodePipeline is one of the major cloud platforms used by technical support engineers to model and configure the different software release process stages. In this course, you'll examine the concept of continuous integration and its implementation in AWS CodePipeline. You'll explore the key terms and processes associated with pipeline stages, recognize how to set up continuous deployment and delivery, and outline methods for processing pipeline executions. Next, you'll learn to integrate CodePipeline with AWS CodeCommit and GitHub, configure Amazon CloudWatch Events to trigger pipelines, and set up CodePipeline to deploy various deployment groups. You'll then create pipelines to retrieve source applications from Amazon S3 Bucket and deploy them to Amazon EC2 instances. Finally, you'll configure pipelines to deploy customized product templates and use the AWS CloudFormation console service to create infrastructures.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursedescribe the features of AWS CodePipeline that help model and configure different stages of the software release processoutline the approach to implementing continuous integration and recognize the benefits afforded by using AWS CodePipeline for continuous integrationrecognize the key terms and processes involved in defining a series of Pipeline stages used in AWS CodePipelinelist the critical steps involved in setting up continuous deployment and delivery using AWS CodePipelineset up continuous integration workflows using AWS CodePipeline to ensure the workflows build code in AWS CodeBuild every time there is a new commitdescribe the approach to processing executions in AWS CodePipeline and the set of rules used to process executions in pipelinesconfigure AWS CodePipeline to integrate with AWS CodeCommit and GitHub
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configure Amazon CloudWatch Events to trigger pipelines to start or execute when the rule or schedule criterion is metset up AWS CodePipeline to deploy Dev, Test, and Prod branches and separate the Deployment Groupsspecify the actions and data types for AWS CodePipeline that can help configure pipelines through APIscreate pipelines that retrieve source applications from Amazon S3 Bucket and deploy them to Amazon EC2 instances using AWS CodeDeployconfigure pipelines to deploy customized product templates to AWS Service Cataloguse the AWS CloudFormation console service to create infrastructures that include a pipeline connected to an AWS CodeCommit source repositorysummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 33sUP NEXT
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2.AWS CodePipeline7m 57s
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3.Continuous Integration7m 25s
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4.Pipeline Stages: Terms and Processes5m 50s
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5.Continues Deployment and Delivery Set Up6m 49s
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6.Setting Up Continuous Integration Workflows9m 4s
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7.Execution Processing Methods in AWS CodePipeline5m 24s
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8.Integrating CodePipeline With CodeCommit and GitHub6m 6s
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9.Configuring CloudWatch Events to Trigger Pipelines4m 17s
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10.Using Deployment Groups7m 29s
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11.Actions and Data for Pipeline Configuration With APIs5m 18s
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12.Managing Deployments From S3 Buckets With Pipelines5m 7s
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13.Deploying Customized Product Templates7m 5s
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14.Using AWS CloudFormation in CodePipeline4m 1s
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15.Course Summary1m 38s
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