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Faris Aziz
Available · Q3 2026 Invite me to speak
Workshop 3-8 hours Bookable

Mastering Production-Grade Patterns with TanStack

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.

Outcomes

What you'll learn

  • 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 safet
  • Know when TanStack Query is the right tool, and when it is not
  • Avoiding over-fetching, wasted renders, and unnecessary backend load
The plan

Agenda

  • Workshop goals and structure
  • What problem TanStack Query actually solves
  • Mental model of server state vs UI state
  • Installing and configuring TanStack Query
  • First query and mutation
  • Caching, stale time, and invalidation
  • Loading, error, and background states
  • Query lifecycle and refetching behavior
  • How the cache works
  • Why query keys are everything
  • Query key factories and codebase structure
  • Dependent and parallel queries
  • Prefetching and hydration
  • Less obvious but powerful use cases
  • Retries, fallbacks, and graceful degradation
  • Observability-first data fetching
  • DORA metrics and why frontend teams should care
  • Post-deployment monitoring with Sentry
  • Feature flags and safe rollouts
  • Common failure modes and how to avoid them
  • When to use TanStack Query, and when not to
  • Next steps and resources
  • Before you start

    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
    Stack

    Technologies covered

    ReactNextJSTanStack QueryREST and async data APIsSentry
    Booking 2026 & 2027 dates

    Ready to book this workshop?

    Tell me about your team or event audience and I'll tailor depth, pace, and exercises to fit. I reply within two days.