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Go for serverless functions - Edson Ticona Zegarra
Learn essential considerations, best practices, and common pitfalls when building serverless functions with Go. Covers architecture, resource management, and real-world use cases.
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Serverless functions run in a managed compute environment where providers handle infrastructure, scaling and operational concerns
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Key characteristics of serverless:
- Pay only for actual usage/execution time
- Auto-scaling based on load
- Limited execution time windows (10-15 mins)
- Shared temporary filesystem between executions
- File descriptor and memory limits
- Cold starts impact latency
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Important considerations when using Go:
- Global state may persist between executions
-
init()
functions used for initialization -
No
main()
package in cloud functions - Different function signatures per provider
- Need to handle connection pooling carefully
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Common gotchas and challenges:
- File descriptor leaks more apparent due to tight limits
- Database connection management needs special attention
- Cold starts can add 1-2 seconds latency
- Provider-specific behaviors for error handling
- Temporary filesystem state may persist
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Best practices:
- Use init() for one-time initializations
- Monitor resource usage carefully
- Consider latency requirements
- Plan for proper scaling
- Understand provider-specific limitations
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Ideal use cases:
- Event-driven processing
- Batch operations
- Scheduled tasks
- Workloads with uneven load patterns