CASE STUDY
Location | United States
Application and infrastructure deployments lacked consistency, leading to operational inefficiencies.
Absence of CI/CD pipelines hindered automated deployment processes.
Developers manually deployed code changes through the terminal, increasing errors and inconsistencies.
Environments were not unified, resulting in disparate configurations and management difficulties.
Inconsistent infrastructure setups led to variability in deployment outcomes.
Deployments were restricted to a 3-hour maintenance window, causing downtime and limiting flexibility.
Minutes
Reduced
Improved
Designed two distinct DevOps architectures to cater to different deployment needs.
Utilized GitHub Actions and AWS CodeDeploy for deploying microservices-based resources, enhancing automation and consistency.
Employed AWS CodePipeline, CodeBuild, CodeDeploy, and GitHub tools for deploying applications on EC2 and Lambda, ensuring a robust CI/CD pipeline.
Implemented branch protection via pull requests to enforce code quality and prevent unauthorized changes.
Integrated rollback strategies through deployment applications, allowing quick recovery from deployment failures.
Restricted deployments to CI/CD pipelines in development, QA, and production environments, ensuring controlled and consistent releases.
98%
Reduction in Deployment Time
Audience
- Executives, CTOs, Director
- IT Consultants
- Business Analysts
- Project Managers
- IT Project Coordinators
- Architects and Specialists
