Express.js Production Health Checks Require Separate Liveness and Readiness Endpoints

·6 views

The article advises Node.js application developers to implement separate liveness and readiness health check endpoints in Express.js for production environments. Liveness endpoints should confirm the Node.js process is responsive, while readiness endpoints should verify that critical dependencies required for accepting customer traffic are functional. This separation allows deployment controllers to safely manage instances and helps teams diagnose incidents by comparing evidence before and after a rollback. The guidance emphasizes keeping these endpoints simple, logging structured data for evidence retention, and avoiding internal system details in their responses.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

AI's Search Process Alters How Businesses Must Present Key Facts Online

AI assistants like ChatGPT now answer user queries by searching the web in real-time rather than relying on static data. To be recommended, a business's key details like price and features must be immediately visible without requiring scripts to load. Facts should be presented in clear, standalone sentences, preferably early on the page, as AI often extracts information this way. Companies must also ensure their sites are accessible to specific AI search bots, which are distinct from data-gathering bots used for training models.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer builds Chrome extension for screen recording with integrated editing

A developer created a Chrome extension called Screen Mouse Recorder to simplify making product demos and tutorials. The tool, built with TypeScript and React, handles both recording and editing within the browser to avoid separate software. Its backend uses Supabase for authentication and Cloudflare R2 for video storage. The developer aims to streamline the workflow from recording directly to sharing. The extension is still under active development.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

OutBound AI open-source app uses local LLM to recommend offline activities

A developer has created an open-source application called OutBound AI, designed to reduce screen time by recommending real-world activities. The app uses a local, offline large language model to generate tailored outdoor plans based on a user's time, mood, and energy. Its architecture separates the application logic from the AI layer, allowing the underlying model to be easily updated. The project was built using open-source models to avoid proprietary APIs and maintain data privacy and developer control. It was developed with the help of an AI pair-programmer and entered in a Hacktoberfest open-source AI challenge.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

GridLead tool demonstrates local business search and CRM integration workflow

The creator of GridLead demonstrated the web application's workflow for researching local businesses. A test search for marketing agencies in Cambridge, UK, returned 71 companies and identified publicly listed email addresses for 40 of them. Users can filter results and export selected companies to Excel, CSV, or directly to CRM platforms like HubSpot or Pipedrive. The integration creates or updates company records in the CRM based on user-triggered transfers. GridLead offers a free plan with limited monthly searches and requires registration for real data access.

0 comments Read more at DEV Community