DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports Events Over 2 million developers have joined DZone. Join Today! Thanks for visiting DZone today,
Edit Profile Manage Email Subscriptions Moderation Admin Console How to Post to DZone Article Submission Guidelines
View Profile
Sign Out
Refcards
Trend Reports
Events
Zones
Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Partner Zones AWS Cloud
by AWS Developer Relations
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Partner Zones
AWS Cloud
by AWS Developer Relations
Securing Your Software Supply Chain with JFrog and Azure
Register Today

Trending

  • Java Concurrency: Condition
  • 5 Common Data Structures and Algorithms Used in Machine Learning
  • New ORM Framework for Kotlin
  • Grow Your Skills With Low-Code Automation Tools

Trending

  • Java Concurrency: Condition
  • 5 Common Data Structures and Algorithms Used in Machine Learning
  • New ORM Framework for Kotlin
  • Grow Your Skills With Low-Code Automation Tools
  1. DZone
  2. Software Design and Architecture
  3. Integration
  4. You Love GraphQL – Here’s How To Make Sure Your Organization Does, Too

You Love GraphQL – Here’s How To Make Sure Your Organization Does, Too

Developers are rushing into the GraphQL open-source query language for APIs. Here's how developers can make sure everyone is on board.

Shahar Binyamin user avatar by
Shahar Binyamin
·
May. 05, 23 · Opinion
Like (3)
Save
Tweet
Share
3.53K Views

Join the DZone community and get the full member experience.

Join For Free

How do enterprises start their API modernization journeys? More often than not, it’s with a single developer who recognizes all that production-grade GraphQL API adoption can bring to the table—and decides to act as the catalyst for organizational change.

As a fully open-source technology, the GraphQL API query language gives developers more efficient workflows and streamlined access to enterprise scalability. Because GraphQL enables applications to collect all the data they require by making a single API request (and control that data directly), the development pace, simplicity, and stability of working with GraphQL provide night-and-day advantages over legacy REST APIs. For enterprise developers, there’s no real difficulty in setting up GraphQL and getting a server up and running. The challenge usually begins when they need to win their organization’s full backing to achieve a lasting implementation with all the stability and security an enterprise requires from Day One.  

Here’s how to do just that.

Bulldozing the “GraphQL Isn’t Enterprise-Mature” Myth

As your enterprise’s GraphQL champion, you’ll inevitably encounter stakeholders that are unconvinced when it comes to GraphQL’s maturity and effectiveness in enterprise production use cases. The worst error you can commit in this situation is to make their doubts appear to be true. Introduce a GraphQL deployment that’s poorly planned, unsustainable, and rife with security risks, and, well, its critics will have all the ammunition they need to make sure your organization steers clear.

The way to defeat the GraphQL-immaturity myth is to prove it false via undeniable demonstration. That means introducing a secure and well-managed enterprise-grade GraphQL deployment from the start — one that will serve as a fully reliable foundation going forward. This can and has been done over and over again: hyper-scale enterprises like Meta, Rakuten, PayPal, Lyft, KLM, Starbucks, Shopify, and countless others utilize GraphQL in some of the largest and most data-intensive production environments out there.

Show the naysayers how available expert support and enterprise-grade tooling purpose-built for GraphQL can smooth out the learning curve when it comes to achieving a seamless and secure deployment. Be sure to make it clear how this strategy of enlisting enterprise support will ensure that developer teams can pursue their goals more confidently and quickly.

Exploding the “It’s Too Soon for Enterprise Tooling and Support” Argument

It’s also common for some stakeholders to offer this rather frustrating and circular argument: because the enterprise doesn’t yet utilize GraphQL to a high degree, it doesn’t make sense yet to invest in the tooling and support needed to provide effective management and security. (The concerns do come with some reason since existing APM and security gateways lack GraphQL-specific support and capabilities.) Unfortunately, accepting this logic can easily sink an enterprise’s GraphQL adoption before it leaves the harbor. As we’ve established, launching GraphQL without the correct best practices and protections is a recipe for failure.

The winning counter-argument that GraphQL champions should convey is this. Implementing a robust best practices-based GraphQL implementation from Day One offers immediate benefits, pays long-term dividends, and is a far more efficient approach than cleaning up a flawed deployment later. When an enterprise deploys a greenfield GraphQL implementation supported by the right tools and aligned with best practices, it yields superior operational efficiency, API lifecycle management, schema planning, granular analytics, and BI insights, security via effective access control and visibility, and an enviable developer experience. Enterprises that instead take the path of ameliorating brownfield GraphQL deployments must solve unpleasant legacy challenges (hard-coded access controls within servers and resolvers are one such common and difficult issue). 

For Best Results, Start From the Start

The most convincing argument in an enterprise GraphQL champion’s repertoire might be the simplest: if you’re going to do something, why not do it right? Stakeholders would never question whether it was too early to use Jira or another essential development tooling. As a GraphQL champion calling for a robust and supported GraphQL deployment, you have the winning side of the debate. It's why I co-founded Inigo. Get your enterprise to listen, and you’ll deliver security, scalability, and optimization that transforms your development team’s experience, effectiveness, and pace of development for the better (and for the long term).

API GraphQL

Opinions expressed by DZone contributors are their own.

Trending

  • Java Concurrency: Condition
  • 5 Common Data Structures and Algorithms Used in Machine Learning
  • New ORM Framework for Kotlin
  • Grow Your Skills With Low-Code Automation Tools

Comments

Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 600 Park Offices Drive
  • Suite 300
  • Durham, NC 27709
  • support@dzone.com

Let's be friends: