alexcasalboni/aws-lambda-power-tuning
Aws Lambda Power Tuning
Este proyecto es un optimizador de rendimiento y evaluador de recursos para AWS Lambda. Analiza el equilibrio entre la velocidad de ejecución y el costo probando varias configuraciones de memoria para identificar los ajustes más rentables y minimizar el gasto operativo.
La herramienta utiliza un orquestador de AWS Step Functions para automatizar la ejecución y la recopilación de datos de múltiples pruebas de funciones en diferentes niveles de potencia. Simula cargas de trabajo de producción inyectando datos estáticos o remotos personalizados y utilizando una distribución de carga útil ponderada para imitar patrones de tráfico del mundo real.
La suite cubre varias áreas de capacidad, incluyendo muestreo iterativo de memoria y modelado de costos basado en métricas para visualizar las compensaciones de rendimiento. Proporciona limpieza automatizada de recursos para versiones y alias de funciones temporales, configuración de red privada para recursos internos restringidos y carga de carga útil remota para evitar límites de tamaño de invocación estándar.
El despliegue se maneja mediante construcciones de infraestructura como código (IaC) para garantizar una configuración de entorno consistente y repetibilidad.
Features
- Cloud Infrastructure Cost Optimization - Provides a tool for optimizing cloud function memory settings to minimize operational costs.
- Lambda Performance Optimizers - Optimizes the execution speed and cost of AWS Lambda functions by analyzing various memory configurations.
- Automated Memory Tuning - Automatically applies the most efficient memory configuration to a function version or alias based on benchmark results.
- Serverless Cost Modeling - Calculates precise operational costs per run based on cloud provider pricing, execution duration, and memory settings.
- Serverless Resource Tuning - Identifies the most efficient resource allocation for serverless functions to balance performance and operational cost.
- Serverless Resource Benchmarking - Runs automated test suites across different memory levels to visualize performance tradeoffs and execution duration.
- Step Functions Orchestration - Uses AWS Step Functions to coordinate the sequential and parallel execution of performance tests across different configurations.
- Memory Configuration Sampling - Executes the same function multiple times with varying memory settings to build a performance and cost dataset.
- Serverless Memory Optimization - Analyzes execution speed and cost across multiple memory settings to find the most efficient configuration.
- Memory Sampling Loops - Runs the target function repeatedly across a defined range of memory settings to collect metrics.
- Weighted Payload Simulation - Simulates production traffic by distributing test input payloads based on assigned relative probability weights.
- Cloud Resource Cleanups - Automatically removes temporary function versions and aliases after tuning cycles.
- Performance Tradeoff Visualizations - Provides graphical representations of the relationship between Lambda memory allocation, execution speed, and operational cost.
- Test Payload Processing - Allows the definition of static or remote data inputs as test cases for memory optimization.
- Workload Simulations - Mimics real-world traffic patterns by injecting weighted payloads to verify performance under realistic conditions.
- Infrastructure and Deployment - State machine for optimizing Lambda memory and power.
