A weekly newsletter of the best news, articles and projects about GraphQL


GraphQL Growth Explodes but so Do Problems Federated Graphs Solve

GraphQL's popularity has soared, leading to rapid growth in adoption. However, this surge in usage has also brought challenges, with scalability and data management becoming bottlenecks. Enter federated graphs. This architecture enables decentralized data storage across multiple GraphQL APIs, addressing scalability limitations and enhancing data management efficiency. By distributing data ownership and reducing the burden on central servers, federated graphs empower developers to handle the expanding volume of GraphQL data without compromising performance.

Adding Retrieval-Augmented Generation (RAG) to Your GraphQL API

In a bid to enhance GraphQL API performance, Adam introduces Retrieval Augmented Generation (RAG). This technique leverages existing GraphQL data structures and avoids unnecessary round trips to the database. By caching relevant fragments and selectively fetching data only when necessary, RAG minimizes response times and improves scalability. This simplifies API development by reducing the need for complex caching logic and optimizing data retrieval processes.

Measuring Impact: A guide to the ROI on GraphQL

Measuring the impact of GraphQL can be challenging, but it's crucial for understanding its effectiveness and optimizing deployments. On the Hasura blog, Sandip explores various methods for quantifying the return on investment (ROI) associated with GraphQL adoption. The author emphasizes the importance of tracking metrics related to performance, developer productivity, and user experience. By analyzing data on request counts, execution times, and schema complexity, businesses can assess the efficiency and value of their GraphQL implementations. This guide provides practical guidance on identifying relevant metrics, tracking changes over time, and correlating GraphQL adoption with business outcomes.

Tools & Open Source

GraphQL Request Cancellation in JavaScript

GraphQL's request cancellation feature offers developers greater control over asynchronous operations. In their article, The Guild's Laurin Quast explains how this functionality works and provides practical guidelines for implementing effective cancellation strategies. By leveraging request cancellation, developers can gracefully handle interruptions and prevent unnecessary resource consumption when clients abandon requests. The author emphasizes the importance of canceling subscriptions and mutations promptly to optimize performance and prevent unnecessary data accumulation. This feature is particularly valuable in scenarios where requests may take longer to complete or when clients need to dynamically adjust their request parameters.

Introducing graphql-lint and gqlint, GraphQL Tooling in Rust

GraphQL Lint, a new tool from Grafbase, enhances GraphQL development by identifying potential issues and enforcing coding standards. This automated linter analyzes GraphQL schemas and queries, highlighting areas for improvement. With customizable rules and severity levels, developers can tailor the linting process to their specific needs. GraphQL Lint promotes code quality by detecting redundant fields, unused mutations, and potential data inconsistencies. By catching these errors early in the development process, teams can proactively address them before they become significant problems. This tool simplifies debugging, enhances collaboration, and ensures consistent code practices within teams.


Recording, London GraphQL April Meetup

If you couldn't make it to London earlier this week and attend the meetup in person, don't worry as the recording is already available for you to watch on Youtube.

Recording, How to secure GraphQL?

The Escape team and The Guild organized a joint webinar on how to secure your GraphQL API. If you missed the webinar, but are interested in the topic, the recording is now available on Youtube.

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