Aminu Mohammed
- Role
- Principal Consultant at Oracle
- Location
- Fayetteville, AR, US
- LinkedIn followers
- 500 followers
About Aminu Mohammed
A highly skilled consulting professional with extensive experience in implementing…
Experience
Principal Consultant
Jan 2022 — Present
Edit templates in a YAML file, Used the AWS CLI (Command Line Interface) to deploy the templates which is the best practice to automate building stage (Build / Test / Deploy / Load Test) Used Parameters to control, and prevent errors from happening in your templates Stack Update Fails:(Update Stack API): set stack to automatically rolls back to the previous known working state. Used CloudWatch Events to detect failed builds and trigger notifications and set Alarms to notify if you need “thresholds” for failures. use Jenkins build provider for pipeline’s build or test action, install Jenkins on an Amazon EC2 instance and configure a separate EC2 instance profile and make sure the instance profile grants Jenkins only the AWS permissions required to perform tasks for your project, such as retrieving files from Amazon S3 lets you build and test your code without a server or system. pushed code to a code repository often (GitHub / Code Commit /Bitbucket) test code as soon as it is pushed (Code Build / Jenkins CI), Find bugs early, fix bugs to Ensures deployments happen quickly and set Metrics to monitor Code-Build statistics. use Jenkins build provider for pipeline’s build or test action, install Jenkins on an Amazon EC2 instance and configure a separate EC2 instance profile and make sure the instance profile grants Jenkins only the AWS permissions required to perform tasks for your project, such as retrieving files from Amazon S3 lets you build and test your code without a server or system. Stack Update Fails:(Update Stack API): set stack to automatically rolls back to the previous known working state. Use AWS sample templates to create a simple pipeline (with an Amazon S3, Code Commit, or GitHub source) using the AWS CloudFormation console. create a two-stage pipeline that uses Code Deploy to deploy a sample application from a Code Commit repository to an Amazon EC2 instance running Amazon Linux
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