Optimizing cold starts in serverless Go applications
Techniques to minimize cold start times and improve performance in your Go serverless functions.
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Production-ready Go code examples optimized for Chita Cloud. Copy, deploy, and scale your applications in minutes.
Simple serverless function with custom input/output structs
package main
// Define your input struct with the fields you need
type GreetingRequest struct {
Name string `json:"name"`
Language string `json:"language,omitempty"`
}
// Define your output struct with any fields you want
type GreetingResponse struct {
Message string `json:"message"`
Timestamp string `json:"timestamp"`
Language string `json:"language"`
}
// Your handler function receives your custom struct and returns your custom struct
func CreateGreeting(req GreetingRequest) (GreetingResponse, error) {
var greeting string
switch req.Language {
case "es":
greeting = "¡Hola, " + req.Name + "!"
case "fr":
greeting = "Bonjour, " + req.Name + "!"
default:
greeting = "Hello, " + req.Name + "!"
}
return GreetingResponse{
Message: greeting,
Timestamp: time.Now().Format(time.RFC3339),
Language: req.Language,
}, nil
}
func HealthHandler(req struct{}) (struct {
StatusCode int `json:"statusCode"`
Body string `json:"body"`
}, error) {
return struct {
StatusCode int `json:"statusCode"`
Body string `json:"body"`
}{
StatusCode: 200,
Body: "{"status": "healthy"}",
}, nil
}Chita Cloud's native integration with the Model Context Protocol (MCP) allows you to build AI-powered applications with contextual intelligence baked in from the start.
Connect to AI models with just a few lines of code
Maintain context between requests for more intelligent applications
Connect to any compatible AI model with a standardized API
System
You are a helpful AI assistant for a SaaS platform.
I'm trying to integrate AI into my application. Can you explain how MCP works?
Model Context Protocol (MCP) is a standardized way to interact with AI models. Here's how it works:
Would you like to see an example of how to implement this in your app?
Yes, please. I'm building a customer support chatbot. How would I use MCP for that?
For a customer support chatbot, you'd want to:
Instructions to AI:
You can also provide specific context for pricing questions:
Additional Context:
Production-ready PostgreSQL add-on available for all paid plans. No setup required when you add the database service.
PostgreSQL add-on instances are automatically provisioned when ordered
PostgreSQL instance automatically provisioned on deployment
Not shared - your own PostgreSQL 15 instance with full control
# Automatically available environment variables
DATABASE_URL=postgres://user:pass@db.chitacloud.dev:5432/yourdb
POSTGRES_HOST=db.chitacloud.dev
POSTGRES_DB=yourdb_production
POSTGRES_USER=youruser
POSTGRES_PASSWORD=auto_generated_secure_passwordDeploy your Go application with PostgreSQL in under 60 seconds. Database instance automatically configured and ready to use.
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Compare all 4 Chita Cloud plans side-by-side. Professional plan offers the best value for established freelancers.
Choose the plan that fits your projects. PostgreSQL available, no hidden fees.
€16/month
Perfect for 2-3 projects
€24/month
Perfect for 4-6 projects
€49/month
Perfect for 8-12 projects
Go deployment with Redis included - PostgreSQL available as add-on
* Comparison based on publicly available pricing information as of September 2025. Competitor features and pricing may vary. Always verify current pricing on official websites.
Multi-language deployment insights, tutorials, and best practices for Go, Python, TypeScript & Docker
Techniques to minimize cold start times and improve performance in your Go serverless functions.
Best practices for designing and deploying microservices on a serverless platform.
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