3 个仓库
Sending periodic synthetic requests to serverless functions to prevent cold starts.
Distinguishing note: Distinct from AI training schedules; focuses on maintaining serverless execution environment readiness.
Explore 3 awesome GitHub repositories matching devops & infrastructure · Scheduled Function Warming. Refine with filters or upvote what's useful.
opennextjs-aws 是一个无服务器基础设施适配器和部署工具,将 Next.js 构建产物转换为兼容的包,以便在 AWS Lambda 和 S3 上托管。它作为一个部署适配器,将框架特定的输出映射到无服务器函数和对象存储。 该项目通过实现无服务器特定的优化而脱颖而出,包括一个通过 S3 或 DynamoDB 同步增量静态再生(ISR)和 fetch 缓存的缓存管理器。它具有冷启动优化器,使用包压缩和定时函数预热来减少延迟,以及一个专门的图像优化流水线,用于从 S3 获取源文件并通过 CDN 分发。 该系统涵盖了广泛的能力,包括边缘中间件集成、基于队列的后台重新验证和多目标路由分发。它还通过 CDN 路由、地理位置数据注入和服务器响应流来管理流量,以改善首字节时间(TTFB)。 该工具为构建流水线、适配器行为和服务器逻辑提供了广泛的自定义选项,以支持多样的架构需求和 Monorepo 结构。
Sends periodic requests to server functions to keep the execution environment active.
Zappa is a serverless Python framework and command-line tool used for packaging and deploying Python web applications to AWS Lambda. It functions as a serverless infrastructure automator that provisions API Gateways, IAM roles, and SSL certificates to run ASGI and WSGI applications as serverless functions. The tool distinguishes itself by providing a management CLI for executing remote administration scripts and management commands directly within the deployed environment. It includes specific mechanisms for serverless performance tuning, such as scheduling regular warm-up invocations to prev
Sends periodic synthetic requests to serverless functions to prevent cold starts and minimize latency.
This project serves as a comprehensive technical guide and framework for building, deploying, and managing event-driven applications. It focuses on serverless architecture development, providing patterns and practices for implementing cloud-native services that execute code in response to triggers without requiring persistent server infrastructure. The repository distinguishes itself by offering a unified approach to polyglot runtime orchestration, allowing developers to manage components written in multiple programming languages within a single project. It emphasizes local cloud emulation, e
Maintains serverless execution environment readiness by sending periodic synthetic requests to prevent cold starts.