2 个仓库
Running image processing workloads on demand with global deployment, scaling to zero when idle.
Distinct from Serverless Image Renderers: No candidate covers serverless image transformation; candidates focus on container image building or rendering, not on-demand processing.
Explore 2 awesome GitHub repositories matching devops & infrastructure · Serverless Image Processing. Refine with filters or upvote what's useful.
Imaginary is a self-hosted HTTP server for image processing that applies transformations like resizing, cropping, rotating, and format conversion through URL parameters. It operates as a stateless request-response pipeline, processing images fetched from remote URLs or served from a local directory without requiring client-side dependencies. The server distinguishes itself through its security and access control capabilities, offering optional API key validation, HMAC-signed URL verification, and remote origin whitelisting to restrict which image sources are permitted. It also provides a heal
Describes running image processing workloads on demand with global deployment and scaling to zero.
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。
An image processing system that fetches source files from S3 and delivers optimized assets via CDN.