Skip to main content

AWS re:Invent 2017 Day 2: AWS AppSync – GraphQL as a Service

Day two at re:Invent 2017 was incredibly packed, crowded, and exciting. My favorite announcement so far is the new AWS AppSync, as it aligns with one of the most promising (yet somehow controversial) design principles adopted by the serverless community: GraphQL.

If you are not familiar with GraphQL, we recently explained how to write GraphQL Apps using AWS Lambda, and hosted a webinar about the Love Story between Serverless and GraphQL. Here’s a quick look at what you need to know about AWS AppSync.

Mobile and Web App Challenges

I attended the first deep dive session on AWS AppSync, which brilliantly summarized the main technical challenges faced by most mobile and web applications:

  • Authentication & user management
  • Efficient network usage
  • Multi-device support
  • Data synchronization between devices
  • Offline data access
  • Real-time data streams
  • Cloud data conflict detection & resolution
  • Running server-side code (without managing servers)

Each of these challenges could merit its own article, but I am assuming that everyone has experienced a really bad mobile UX, and at least once from the user perspective (any implicit reference to the AWS re:Invent app is clearly unintentional). Moreover, most of these challenges are a direct consequence of how we’ve been designing RESTful interfaces for web and mobile.
If you are a web or mobile developer, GraphQL can help you solve many of these challenges, especially the ones related to network optimization, thanks to dynamic queries, and real-time data streams, thanks to GraphQL subscriptions.

How is GraphQL better than REST?

GraphQL can alleviate the pain caused by many complex problems that are pretty much unsolvable with REST only. This includes API resource relationships, reduced or customized information in API responses, dynamic query support, advanced ordering and paging, push notifications, etc.
GraphQL is basically a query language for APIs, and it makes it very easy to add an abstraction layer on top of already existing data and APIs. Plus, it’s strongly typed and can act as a self-documenting contract between client and server.
Again, if you are not familiar with the concept of GraphQL Queries, Mutations, and Subscriptions, have a read here (it gets more technical from now on!).
MapTap with AWS AppSync

AWS AppSync Features & Gotchas

AWS AppSync allows you to focus on building apps instead of managing all the infrastructure needed to run GraphQL (either with or without servers).
AppSync will connect queries to AWS resources, and it provides built-in offline and real-time stream support via client-side libraries, which also come with different strategies for data conflict resolution (even custom Lambda-based implementations!). The service offers enterprise-level security features such as API keys, IAM, and Cognito User Pools support.
As with any GraphQL application, your development workflow would look like the following:

  1. Define your schema (queries, mutations, and subscriptions)
  2. Define resolvers (data sources)
  3. Use client tooling to fetch data via the GraphQL endpoint

AWS AppSync provides built-in support for three data sources:

  • DynamoDB
  • ElasticSearch
  • Lambda (for custom or generated fields)

The AppSync client library is available both for mobile and web clients (iOS, Android, JavaScript, and React Native). Offline support is pretty straightforward, and the client will automatically sync data when a network is available. Since GraphQL is an open standard, you are not forced to use the AppSync client. In fact, any open-source GraphQL client will work. Of course, AppSync endpoints can be used by servers, too.
Mutation Resolvers can be mapped into data sources via mapping templates (Velocity). As with API Gateway templates, they come with a few utilities such as JSON conversion, unique ID generation, etc., and ready-to-use sample templates. Based on the specific data source, templates will allow for complete customization of the backend query (e.g. DynamoDB PutItem, ElasticSearch geolocation queries, etc.).
Since you’ll spend most of the time working with the Schema Editor, I was quite happy to notice that it is quite user-friendly, and it comes with search and auto-complete capabilities.

AWS AppSync and AWS Lambda

You can use AWS Lambda to compute dynamic fields, eventually in a batch fashion. For example, imagine that your schema defines a “paid” field that needs to be fetched from a third-party payment system for each invoice. You would probably define a ComputePaid Function and a ComputePaidBatch Function.
The batch function will be automatically invoked to process the value of multiple records without incurring the N+1 problem. Of course, you could use the same Lambda Function for individual and batch processing.

AWS AppSync Pricing

AppSync will be charged based on the total number of operations and real-time updates. More detailed, real-time updates are charged based on the number of updates and the minutes of connection.
Here are the numbers:

  • $4 per million Query and Data Modification Operations
  • $2 per million Real-time Updates
  • $0.08 per million minutes of connection to the AWS AppSync service

Please note that data transfer is charged at the EC2 data transfer rate and that real-time updates are priced per 5kb payload of data delivered (prorated). While the service is completely free during the preview phase, it will come with a free tier once it is generally available.
Also note that AppSync has no minimum fees or mandatory service usage, compared to other similar offerings such as Graphcool.


I expect that AWS AppSync will be well received by the serverless community, and it will make GraphQL much easier to adopt for many use cases.
It will be a great option for applications that need to drastically optimize data delivery, or to transparently manage many data sources under the hood. Moreover, it will also allow developers to design self-documenting APIs powered by a strong type system and a powerful set of developer tools that will simplify API evolution.
Keep in mind that AWS AppSync is still in preview, but you can start playing with it by signing up here.
I’m looking forward to playing with it myself next week, and I can’t wait to share my first results with the community. If you already use GraphQL in production, let us know what you think of AWS AppSync in the comments below!

Written by

Alex Casalboni

Alex is a Software Engineer with a great passion for music and web technologies. He's experienced in web development and software design, with a particular focus on frontend and UX.

Related Posts

Sanket Dangi
— February 11, 2019

WaitCondition Controls the Pace of AWS CloudFormation Templates

AWS's WaitCondition can be used with CloudFormation templates to ensure required resources are running.As you may already be aware, AWS CloudFormation is used for infrastructure automation by allowing you to write JSON templates to automatically install, configure, and bootstrap your ...

Read more
  • AWS
Andrew Larkin
— January 24, 2019

The 9 AWS Certifications: Which is Right for You and Your Team?

As companies increasingly shift workloads to the public cloud, cloud computing has moved from a nice-to-have to a core competency in the enterprise. This shift requires a new set of skills to design, deploy, and manage applications in the cloud.As the market leader and most mature p...

Read more
  • AWS
  • AWS certifications
Andrew Larkin
— November 28, 2018

Two New EC2 Instance Types Announced at AWS re:Invent 2018 – Monday Night Live

The announcements at re:Invent just keep on coming! Let’s look at what benefits these two new EC2 instance types offer and how these two new instances could be of benefit to you. If you're not too familiar with Amazon EC2, you might want to familiarize yourself by creating your first Am...

Read more
  • AWS
  • EC2
  • re:Invent 2018
Guy Hummel
— November 21, 2018

Google Cloud Certification: Preparation and Prerequisites

Google Cloud Platform (GCP) has evolved from being a niche player to a serious competitor to Amazon Web Services and Microsoft Azure. In 2018, research firm Gartner placed Google in the Leaders quadrant in its Magic Quadrant for Cloud Infrastructure as a Service for the first time. In t...

Read more
  • AWS
  • Azure
  • Google Cloud
Khash Nakhostin
Khash Nakhostin
— November 13, 2018

Understanding AWS VPC Egress Filtering Methods

In order to understand AWS VPC egress filtering methods, you first need to understand that security on AWS is governed by a shared responsibility model where both vendor and subscriber have various operational responsibilities. AWS assumes responsibility for the underlying infrastructur...

Read more
  • Aviatrix
  • AWS
  • VPC
Jeremy Cook
— November 10, 2018

S3 FTP: Build a Reliable and Inexpensive FTP Server Using Amazon’s S3

Is it possible to create an S3 FTP file backup/transfer solution, minimizing associated file storage and capacity planning administration headache?FTP (File Transfer Protocol) is a fast and convenient way to transfer large files over the Internet. You might, at some point, have conf...

Read more
  • Amazon S3
  • AWS
Guy Hummel
— October 18, 2018

Microservices Architecture: Advantages and Drawbacks

Microservices are a way of breaking large software projects into loosely coupled modules, which communicate with each other through simple Application Programming Interfaces (APIs).Microservices have become increasingly popular over the past few years. The modular architectural style,...

Read more
  • AWS
  • Microservices
Stuart Scott
— October 2, 2018

What Are Best Practices for Tagging AWS Resources?

There are many use cases for tags, but what are the best practices for tagging AWS resources? In order for your organization to effectively manage resources (and your monthly AWS bill), you need to implement and adopt a thoughtful tagging strategy that makes sense for your business. The...

Read more
  • AWS
  • cost optimization
Stuart Scott
— September 26, 2018

How to Optimize Amazon S3 Performance

Amazon S3 is the most common storage options for many organizations, being object storage it is used for a wide variety of data types, from the smallest objects to huge datasets. All in all, Amazon S3 is a great service to store a wide scope of data types in a highly available and resil...

Read more
  • Amazon S3
  • AWS
Cloud Academy Team
— September 18, 2018

How to Optimize Cloud Costs with Spot Instances: New on Cloud Academy

One of the main promises of cloud computing is access to nearly endless capacity. However, it doesn’t come cheap. With the introduction of Spot Instances for Amazon Web Services’ Elastic Compute Cloud (AWS EC2) in 2009, spot instances have been a way for major cloud providers to sell sp...

Read more
  • AWS
  • Azure
  • Google Cloud
  • SpotInst
Guy Hummel and Jeremy Cook
— August 23, 2018

What are the Benefits of Machine Learning in the Cloud?

A Comparison of Machine Learning Services on AWS, Azure, and Google CloudArtificial intelligence and machine learning are steadily making their way into enterprise applications in areas such as customer support, fraud detection, and business intelligence. There is every reason to beli...

Read more
  • AWS
  • Azure
  • Google Cloud
  • Machine Learning
Stuart Scott
— August 17, 2018

How to Use AWS CLI

The AWS Command Line Interface (CLI) is for managing your AWS services from a terminal session on your own client, allowing you to control and configure multiple AWS services.So you’ve been using AWS for awhile and finally feel comfortable clicking your way through all the services....

Read more
  • AWS