Optimizing GraphQL Queries with Absinthe Plugins in Elixir — PickAClass
⏱ 3h 📚 30 lessons

Optimizing GraphQL Queries with Absinthe Plugins in Elixir

Improve your Elixir API performance by leveraging predefined Absinthe plugins for faster, asynchronous GraphQL query resolution and efficient middleware management.

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About this course

Slow GraphQL queries can quickly degrade your Elixir application's performance. Understanding how to optimize data resolution is key to building responsive, scalable APIs. This text-only course guides you through the foundational concepts of GraphQL execution in Elixir and demonstrates how to use Absinthe's built-in plugins to streamline query resolution. You will learn to eliminate common performance bottlenecks, manage middleware efficiently, and implement modern asynchronous patterns to keep your applications running smoothly. What you'll learn: Understand the core lifecycle of GraphQL query resolution within the Absinthe framework; Apply predefined Absinthe plugins to resolve data asynchronously and prevent blocking processes; Configure custom and built-in middleware to handle complex resolution logic cleanly; Analyze query performance using modern observability and telemetry practices in Elixir; Practice optimizing nested database queries to solve the classic N+1 problem in Absinthe. The course starts with essential terminology and the mechanics of the Absinthe resolution pipeline. You will then progress through written explanations and code-based scenarios that illustrate how to configure, test, and fine-tune plugins for optimal performance. This course is designed for developers with basic familiarity with Elixir and GraphQL who want to improve their API design and performance. No advanced optimization experience is required. Start reading today to build faster, more efficient GraphQL APIs with Elixir.

What you'll get

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  • Short & focused
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Certificate of completion

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Optimizing GraphQL Queries with Absinthe Plugins in Elixir
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Optimizing GraphQL Queries with Absinthe Plugins in Elixir
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Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
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Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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