architecture-paradigm-serverless
FeaturedApplies serverless FaaS patterns for event-driven workloads. Use when designing bursty workloads with minimal infrastructure and pay-per-execution cost model.
DevOps & Infrastructure 323 stars
29 forks Updated today MIT
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# The Serverless Architecture Paradigm
## When To Use
- Event-driven workloads with variable traffic
- Minimizing operational overhead for cloud-native apps
## When NOT To Use
- Long-running processes exceeding function timeout limits
- Applications requiring persistent connections or local state
## When to Employ This Paradigm
- When workloads are event-driven and exhibit intermittent or "bursty" traffic patterns.
- When the goal is to minimize infrastructure management and adopt a pay-per-execution cost model.
- When latency constraints from "cold starts" are acceptable for the use case or can be effectively mitigated.
## Adoption Steps
1. **Identify Functions**: Decompose workloads into small, stateless function handlers triggered by events such as HTTP requests, message queues, or scheduled timers.
2. **Externalize State**: use managed services like databases and queues for all persistent state. Design handlers to be idempotent to validate that repeated executions do not have unintended side effects.
3. **Plan Cold-Start Mitigation**: For latency-sensitive paths, keep function dependencies minimal. Employ strategies such as provisioned concurrency or "warmer" functions to reduce cold-start times.
4. **Implement Instrumentation and Security**: Enable detailed tracing and logging for all functions. Adhere to the principle of least privilege with IAM roles and set per-function budgets to control costs.
5. **Automate Deployment**: Use Infrastructure-as-Code (IaC) frame...
Details
- Author
- athola
- Repository
- athola/claude-night-market
- Created
- 8 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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