Continuous Integration & Deployment
Continuous integration (CI)
It refers to the practice of regularly merging code changes into a shared repository, followed by automatically running unit and integration tests to verify the code integrity.
Continuous delivery (CD)
Extend CI by automating the delivery of tested code to production or pre-production environments. This involves automating additional tests, such as acceptance testing and performance testing, followed by automated deployment to production environments.
Benefits of applying CI/CD
Rapid feedback
It allows for early detection and correction of errors in the development cycle, leading to a faster and more efficient development cycle.
Software quality
Test automation ensures that the delivered code is of high quality and free of errors, improving customer satisfaction and confidence in the product.
Reliable deployment
Automated continuous delivery ensures that software updates are consistently and reliably deployed in production environments, reducing the risk of human errors.
Collaboration & visibility
Facilitates collaboration between development, testing, and operations teams by providing a transparent and automated process for software development and deployment.
Services we offer
CI/CD pipeline implementation
- Design and implementation of custom CI/CD pipelines tailored to the specific needs of your company and projects.
- Integration of CI/CD tools such as Jenkins, GitLab CI/CD, CircleCI, or GitHub Actions to automate the process of integration, testing, and deployment.
Automation for tests
- Development of automated testing suites (unit, integration, functional, etc.) to ensure software quality at every stage of the development cycle.
- Integration of automated testing tools such as Selenium, JUnit, or PyTest into the CI/CD pipelines.
Management of Infrastructure as Code
- Implementation of Infrastructure as Code (IaC) practices to automate the creation and management of development, testing, and production environments.
- Utilization of tools like Terraform, AWS CloudFormation, or Azure Resource Manager to define infrastructure declaratively.