Feature flags, also known as feature toggles, are a powerful technique to control the visibility of features in your application without deploying new code. This can be very useful for testing, gradual rollouts, and managing features in different environments.
In Go, you can implement feature flags using a simple data structure that allows you to enable or disable features based on configurations. Below is a basic example of how you can set up feature flags:
package main
import (
"fmt"
)
// FeatureFlag struct represents a feature flag
type FeatureFlag struct {
Enabled bool
}
// AppConfig holds the application configuration with feature flags
type AppConfig struct {
Features map[string]FeatureFlag
}
// Main function to demonstrate feature flags
func main() {
// Define your feature flags
config := AppConfig{
Features: map[string]FeatureFlag{
"NewUI": {Enabled: true},
"BetaFeature": {Enabled: false},
},
}
// Check if a feature is enabled before executing its logic
if config.Features["NewUI"].Enabled {
fmt.Println("New UI is enabled")
} else {
fmt.Println("Using old UI")
}
if config.Features["BetaFeature"].Enabled {
fmt.Println("Beta feature is enabled")
} else {
fmt.Println("Beta feature is disabled")
}
}
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?