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别名:render.com

云服务平台,提供应用部署和基础设施管理服务。

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已收录 5 条与 Render 相关的内容,按评分排序。

How to Bypass Cloud SMTP Restrictions Using Brevo and HTTP APIs

How to Bypass Cloud SMTP Restrictions Using Brevo and HTTP APIs

freeCodeCamp.org1907 字 (约 8 分钟)
87

Cloud platforms block SMTP ports 587/465, breaking email delivery; Brevo's HTTP API over HTTPS (port 443) bypasses this restriction without requiring domain verification.

入选理由:云平台封锁端口587/465,导致SMTP邮件失败

FeaturedArticle#Brevo#SMTP#HTTP API#Node.js#Cloud Hosting英文
How General Intelligence used agents to build an agent platform on Vercel

General Intelligence built an AI agent-driven platform called Cofounder on Vercel, achieving 100% programmable infrastructure control, enabling 5 engineers to ship 70+ commits daily and automate 90% of SRE tasks.

入选理由:AI 代理平台需要完全可编程的云基础设施,Vercel 的 CLI 和 API 覆盖率达 100%,是唯一满足需求的平台。

FeaturedArticle#AI Agents#Vercel#Infrastructure as Code#Cofounder#SRE Automation英文
Build Your Own AI Agent

Build Your Own AI Agent

freeCodeCamp.org223 字 (约 1 分钟)
75

This article introduces a tutorial on building and deploying intelligent AI agents, focusing on using modern tech stacks like Node.js, OpenAI GPT-4, and PostgreSQL to create an AI bot on Slack that automatically handles member research and analysis.

入选理由:课程涵盖从零开始到部署的完整流程,使用Node.js和Express构建后端服务。

FeaturedArticle#AI Agent#Slackbot#Node.js#OpenAI#GPT-4英文
Building a document processing pipeline at scale is hard, and is one of the reasons that it's hard t...

构建大规模文档处理流水线极具挑战,仅靠LLM API DIY OCR方案易受速率限制、解析失败和超时重试等问题影响,需专业编排层保障弹性与可扩展性。

入选理由:文档处理规模化的核心难点不在OCR模型本身,而在工程化编排:需统一处理限流、异常、幂等重试。

FeaturedTweet#LLM#OCR#document-processing#LlamaParse#Render中文
Building scalable, distributed document processing pipelines isn’t easy.
That’s why we teamed up wit...

LlamaIndex 与 Render 合作构建可扩展的分布式文档处理流水线,整合 LlamaParse 文档解析能力与 Render Workflows 分布式任务调度能力。

入选理由:LlamaParse 提供端到端文档解析、分类、信息抽取与检索能力

FeaturedTweet#LlamaIndex#LlamaParse#Render#document-processing#LLM-infrastructure中文

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