architecture-paradigm-serverless

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Applies serverless FaaS patterns for event-driven workloads. Use when designing bursty workloads with minimal infrastructure and pay-per-execution cost model.

DevOps & Infrastructure 297 stars 27 forks Updated today MIT

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Skill Content

# 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
6 months ago
Last Updated
today
Language
Python
License
MIT

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