To migrate from GitHub Actions to a Continuous Delivery (CD) pipeline, you will typically need to set up a more robust CI/CD system that can handle deployment and automation more effectively. This often involves the use of tools such as Jenkins, CircleCI, or GitLab CI, and integrating them into your existing workflow.
Here’s a simple example of how you could configure a basic Continuous Delivery pipeline after moving from GitHub Actions:
// Jenkinsfile example for a simple CD pipeline
pipeline {
agent any
stages {
stage('Build') {
steps {
echo 'Building...'
}
}
stage('Test') {
steps {
echo 'Testing...'
}
}
stage('Deploy') {
steps {
echo 'Deploying to production...'
}
}
}
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?