Expo

n8n is an open-source workflow automation platform that lets you connect APIs, services, and databases through a visual node-based editor. Unlike proprietary alternatives like Zapier, n8n can be self-hosted, giving full control over data and execution. It supports hundreds of integrations, custom JavaScript/Python code nodes, and AI agent workflows, making it popular among developers who need automation with flexibility and transparency.

A message queue is a middleware component that enables asynchronous communication between services by temporarily storing messages until the receiving service is ready to process them. Popular implementations include RabbitMQ, Amazon SQS, and Redis Streams. Message queues are essential for automation workflows because they decouple producers from consumers, handle traffic spikes through buffering, and ensure reliable delivery even when downstream services are temporarily unavailable.

Smoke testing is a quick, automated verification that the most critical functions of an application work after a new deployment or build. Rather than running the full test suite, smoke tests check essential paths — can the app start, does the login work, do key API endpoints respond. They are typically the first automated gate in a deployment pipeline, catching catastrophic failures before more expensive tests run.

Serverless is a cloud execution model where the provider dynamically allocates compute resources and automatically handles scaling, patching, and infrastructure management. Developers write functions that are triggered by events — HTTP requests, database changes, or message queue entries — and pay only for actual execution time. AWS Lambda, Cloudflare Workers, and Vercel Edge Functions are popular serverless platforms that eliminate the need to manage servers entirely.

Deep linking is the ability to direct users to a specific screen or content within a mobile or web application via a URL, rather than just opening the app's home screen. In React Native and Flutter, this involves configuring URL schemes (e.g., `myapp://profile/123`) or universal/app links that work across platforms. Deep linking is essential for push notification routing, marketing campaigns, sharing content between users, and creating seamless web-to-app transitions.

ETL (Extract, Transform, Load) is an automated data processing pattern where data is extracted from source systems, transformed into a desired format or structure, and loaded into a target system like a data warehouse. Modern variations include ELT, where raw data is loaded first and transformed in place. ETL pipelines are essential for automating data integration, reporting, and feeding clean data into ML training workflows.