# Mastering Production-Grade Patterns with TanStack

> Workshop by Faris Aziz · Engineering in production. For performance, scale, and effectiveness

This is not a beginner TanStack Query workshop.

This workshop focuses on proven, production-grade patterns for architecting data fetching with TanStack Query, designed for applications that care about performance, scale, and long-term maintainability.

We’ll go beyond APIs and hooks and focus on how the fundamental concepts scale. You’ll see how the same core ideas work for apps with a few hundred users and for systems serving tens of millions of users, without rewriting your mental model every six months.

The patterns in this workshop are battle-tested in real production environments and are designed to improve developer experience, reduce complexity, and make performance predictable.

We’ll also briefly step back and look at TanStack as an ecosystem, showing where other TanStack libraries fit and how to think about them as part of a coherent system, while keeping the main focus firmly on TanStack Query.

The workshop draws directly from experience implementing TanStack Query in real production applications, ranging from small products to platforms serving tens of millions of users. Expect concrete patterns, trade-offs, and failure modes.

You don’t need prior TanStack Query experience, but this workshop assumes you’ve built real applications.

You’ll leave with a clear, scalable mental model for architecting data fetching with TanStack, and patterns you can apply immediately.

## Agenda

### 3-8 hours

- 20 min: **Welcome and Warm Up**
- 30 min: **Foundations and setup**
- 45 min: **Core concepts that matter in production**
- 45 min: **Under the hood and architecture**
- 45 min: **Advanced patterns and real-world use cases**
- 45 min: **Resilience and observability**
- 20 min: **Production readiness**
- 15 min: **Wrap-up and Q&A**

_3-8 hours · 8 blocks_

## Prerequisites

- Solid understanding of React fundamentals
- Comfortable with hooks and component composition
- Basic knowledge of async JavaScript and promises
- Familiarity with fetching data from APIs

## You leave able to

- Replace ad-hoc data fetching with a structured, cache-aware model
- Understand how TanStack Query manages server state and why it scales better than local state
- Design stable query keys and maintainable data layers
- Handle loading, error, and edge cases without UI complexity
- Apply resilience patterns directly in your data-fetching layer
- Instrument your app for observability and post-deployment safety
- Know when TanStack Query is the right tool, and when it is not
- Avoiding over-fetching, wasted renders, and unnecessary backend load

## Delivered at

- CityJS · Singapore · 5th Feb 2026 · https://faziz-dev.com/events/from-zero-to-production-with-tanstack-query
- CityJS · Athens · 28th May 2025 · https://faziz-dev.com/events/cityjs-athens-2025-05-28

## Book this workshop

- Length: 3-8 hours
- Request a date: https://faziz-dev.com/invite?kind=workshop&workshop=Mastering%20Production-Grade%20Patterns%20with%20TanStack

Attendees: use the resources link from your session for the slides, the repo and the extras.

The talk version: Solving Real World Data Fetching Challenges with Next.js and TanStack Query: A Pragmatic Case Study · https://faziz-dev.com/talks/solving-real-world-data-fetching-challenges-with-nextjs-and-tanstack-query-a-pragmatic-case-study


All workshops: https://faziz-dev.com/workshops.md

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Faris Aziz: software engineer, speaker, ZurichJS co-founder. Geneva, Switzerland.
Site: https://faziz-dev.com · Invite to speak: https://faziz-dev.com/invite · Services: https://faziz-dev.com/services · Mentorship: https://faziz-dev.com/mentorship · Index for agents: https://faziz-dev.com/llms.txt
LinkedIn: https://www.linkedin.com/in/farisaziz12/ · GitHub: https://github.com/farisaziz12 · Bluesky: https://bsky.app/profile/farisaziz.com