Patterns

Convex offers robust control over pagination with a powerful function, getPage, enabling complex edge cases. In this article, we go over how to use that function in your Convex app.

With Convex's magic query cache, Convex's powerful subscriptions are cached, not merely values. So you get fast, jank-free renders with no cache consistency or invalidation headaches.

Log streams like Axiom and Datadog can be used to provide powerful querying and alerting on logs and errors from your Convex functions, helping with debugging issues when they come up and providing early insights to detect smaller issues before they become bigger. This article covers how to do the several common things with either Axiom or Datadog hooked up as a Convex log stream including filtering to a request, logging structured metadata, and visualizing usage.

By leveraging HTTP actions with streaming, this chat app balances real-time responsiveness with efficient bandwidth usage. Users receive character-by-character updates to their own responses directly from ChatGPT, while other users see periodic updates, minimizing database bandwidth.

You'll often want to retrieve unique records from your database. While SELECT DISTINCT is the traditional way to do this in SQL databases, we've improved on this pattern in Convex by making it more consistent.

Implementing application rate limiting when you have fast access to a database with strong ACID guarantees. Token bucket and fixed window, with fairness, burst accommodation and fire-and-forget support.

Compare push-based load balancing with pull-based work stealing as scalable strategies for distributing resource-intensive workloads, such as running LLM models for AI apps.

Implementing "work stealing" - a workload distribution strategy - using Convex's reactive database.

Online migrations in Convex using mutations. Including a helper to track migration state!

This post will cover various aspects of operational maturity, and steps to take as your app grows up.

Learn about best practices for testing your full-stack apps - running on Convex or elsewhere!

By setting up dedicated tools, you can get actionable data to help understanding errors, performance, user behavior and allow you respond quickly when things change.

Before you burden yourself with “best practices” for large-scale companies, focus on what will reduce your feedback cycles and help you ship early and often. Think about your use case, not your toolbox.

There’s a new Convex helper to perform generic TypeScript filters, with the same performance as built-in Convex filters, and unlimited potential.

As your app grows from tens to hundreds to thousands of users, there are some techniques that will keep your database queries snappy and efficient. I’ve put together a short list of the most common techniques used by teams scaling on Convex.

Learn how to automatically retry actions in Convex while also learning a little about scheduling, system tables, and function references.

With a simple `npm run dev` we can sign up a user for Convex, add seed data, and run the frontend and backend (including database) in parallel. Here's how we do it, and how to undo it too.

Convex Ents is a library that provides: simpler ways to model and query related documents, ability to easily map and filter documents, enforcing unique field values, default field values, cascading deletes, soft deletion and more!

Advice and resources for session tracking per-tab or per-browser via localStorage / sessionStorage using React Context, hooks, and some utilities to make your life easier.

If you have a more specific type than what you can express with Convex validators, you can still document that at the type level in Convex by casting once in your schema definition.

Traverse database relationships in a readable, predictable, and debuggable way. Support for one-to-one, one-to-many, and many-to-many via utility functions available in convex-helpers.

A few more advanced techniques & helpers to further reduce duplication and accelerate your Convex workflow.

Using Convex, 4 web devs built their own fullstack app based on this prompt: > Build a way to show real-time updates on the website for a Dungeons and Dragons-themed small business! See what they built, learn how they did it, and watch their reactions to each other's work in this installment of the "4 Web Devs, 1 App Idea" video series.

Use Zod with TypeScript for argument validation on your server functions allows you to both protect against invalid data, and define TypeScript types that propagate to your client. This can now be used as an alternative to the built-in argument validation on Convex.

Re-use code and centralize request handler definitions with discoverability and type safety and without the indirection of middleware or nesting of wrappers. Use the new customFunction module in convex-helpers for your Convex TypeScript functions.

It can be tough to wrangle types to behave how you want them to. Thankfully, Convex was designed to make the experience with types perfect. Learn why that's the case here.

Now that we've launched Preview Deployments on Convex, you can test out backend changes easier than ever. But you may want to seed your project with data first, so let's go over how to do that.

Stream GPT responses without brittle browser-based HTTP streaming. Multiplayer reactivity, persistence, reactivity via Convex. Using OpenAI’s Node SDK server-side, and Convex's useQuery hook client-side.

Learn how to generate fake data for your dev deployments using the Faker library

Pinecone and Convex are a good match when you're looking to build an application that leverages embeddings and also has application data.

Embeddings, why they’re useful, and how we can store and use them in Convex.

Implementing row-level security on Convex as a library. Wrap access to the database with access checks written in plain old JS / TS.

Your document is safely stored, but search is coming up empty? Inconsistent search systems can really confuse users! Don't worry–in Convex, transactional search indexing ensures that users always get what they expect and your apps just work.

Adding advanced HTTP Endpoint functionality by extending Convex with Hono.

Reactive backends like Convex make building live-updating apps a cinch, but default behavior might be too reactive for some use cases. Not to worry! Let’s fine-tune the reactive dataflow of a Convex + React app to deliver a better UX.

Implement asynchronous job patterns using a table to track progress. Fire-and-forget, cancelation, timeouts, and more.

Getting users to sign up for a new service before seeing any benefits is challenging. In this post, we looked at a couple of strategies for managing user information without requiring a login.

An approach to server-persisted session data with Convex, wrapping your server functions and storing a session ID on the client.

Function validation is important for a production app because you can’t always control which clients are talking to your server. See how to use zod to validate your Convex functions, using our withZod wrapper.

Convex middleware serves many purposes. Sometimes authentication, sometimes i18n. This time? Making sense (or nonsense) of emerging technology industry trends.

Using wrapper functions like withUser can help you organize your code into middleware-like blocks that you can compose to keep your function logic concise.

Some patterns for incorporating presence into a web app leveraging Convex, and sharing some tips & utilities I built along the way.

For write-heavy applications, use single flighting to dynamically throttle requests. See how we implement this with React hooks for Convex.

Today we’re going to talk about how to flip features on and off remotely using a clever use of the reactive nature of Convex queries.

Reactivity has taken a dominant position today within web app development. Our components and app state are all reactive, and the world has adapted–most would argue, for the better. But has Convex gone too far? 😉 A new generation of serverless backends like Convex is recklessly spreading reactivity across our databases, server-side functions, and protocols, making global reactivity a new phenomenon. Shared global data is becoming reactive by default. Is this good for the world? In this video, Jamie Turner explores one circumstance where this pervasive reactivity poses a challenge, and he builds one useful abstraction for taming over-reactivity and turning it back into a strength.