Best of Serverless — July 2025

  1. 1
    Video
    Avatar of bytegradByteGrad·46w

    Next.js Background Jobs / Cron Jobs / Queue / AI-Calls Are EASY Now! (Inngest)

    Inngest provides a solution for handling background jobs, cron jobs, and long-running tasks in Next.js applications. The platform addresses the limitations of serverless functions when dealing with AI workloads or tasks that exceed typical request-response cycles. It offers event-driven workflows, step-based functions with checkpoints for retry logic, built-in queuing with prioritization, and specialized AI features including token tracking and agent toolkits. The service integrates seamlessly with Next.js through API routes and provides a dashboard for monitoring and managing workflows.

  2. 2
    Video
    Avatar of javascriptmasteryJavaScript Mastery·44w

    Build an Enterprise Ready AI Powered Applicant Tracking System

    A comprehensive tutorial for building an AI-powered resume analyzer using React, TypeScript, and Puter.js. The application allows users to upload resumes, compare them against job descriptions, and receive AI-generated feedback with ATS scores. Features include serverless architecture with zero infrastructure costs, free AI integration (GPT, Claude, Grok), secure file storage, and responsive UI design. The tutorial covers authentication, file uploads, state management with Zustand, and modern React patterns including React Router v7.

  3. 3
    Article
    Avatar of infoqInfoQ·44w

    High Performance Serverless with Rust

    Rust paired with AWS Lambda delivers exceptional performance for serverless applications, with cold starts as low as 11 milliseconds compared to 141ms for Node.js. The presentation covers three key strategies: organizing multi-Lambda projects using Cargo workspaces for code reuse and isolation, leveraging the AWS Lambda runtime and SDK for seamless integration, and implementing infrastructure as code with tools like CDK and Cargo Lambda for automation. Performance benchmarks show Rust functions consume significantly less memory and execute faster, resulting in cost savings of up to 95% compared to other runtimes at scale.

  4. 4
    Article
    Avatar of fermyonFermyon·46w

    Serverless A2A with Spin

    A2A (Agent-to-Agent) is a new open protocol that enables AI agents to discover and communicate with each other. The protocol uses JSON-based agent cards for discovery and JSON-RPC for interaction, supporting three communication modes: asynchronous sessions, streamed sessions, and push notifications. The tutorial demonstrates building a serverless A2A agent using Spin and WebAssembly that provides ethical reasoning using Google's Gemini model. The agent exposes its capabilities through a standardized agent card and handles requests via JSON-RPC, making it discoverable and interoperable with other A2A-compliant agents.

See all Serverless archives