Implementation of authorization mechanisms for GraphQL endpoints.
Utilization of field-based permissions to secure schemas.
Application of query depth limiting to prevent denial of service attacks.
Usage of Tyke's built-in security features with no additional plugins required.
Creation of policies and keys to regulate API access and permissions.
Securing GraphQL endpoints is crucial for protecting sensitive data and ensuring that only authorized users access specific fields. One effective way to achieve this is by using Tyke, a powerful API management platform known for its comprehensive security features.
When looking to secure GraphQL APIs, it is essential first to implement robust authorization mechanisms. Tyke provides built-in support for various authentication modes, such as authentication tokens, mutual TLS, OAuth 2.0, and JSON Web Tokens (JWTs). These mechanisms help ensure that only users with valid credentials can access the API.
A critical aspect of securing GraphQL schemas is implementing field-based permissions. This feature allows developers to restrict access to specific fields within the schema, ensuring that sensitive information remains protected. With Tyke, configuring these permissions is straightforward, enabling developers to create policies that define which fields users can access and which are off-limits.
Denial of service (DoS) attacks pose a significant threat to APIs, and query depth limiting is an effective strategy to mitigate this risk. By setting a maximum query depth, developers can prevent excessively deep or complex queries that could overwhelm the server. Tyke's query depth limiting feature allows for easy configuration, helping to protect GraphQL services from potential DoS attacks.
One of the standout features of Tyke is its "batteries included" security approach. This means that all necessary security features are built into the platform, eliminating the need for additional plugins. This integrated approach simplifies the process of securing GraphQL endpoints, allowing developers to focus on implementing the necessary security measures without worrying about external dependencies.
Creating policies and generating keys are vital steps in managing access to GraphQL APIs. In Tyke, developers can create policies that define access rights, usage quotas, and rate limits for different API endpoints. These policies ensure that only authorized users can access the API and help prevent abuse by limiting the number of requests a user can make within a specific time frame.
After creating a policy, developers can generate keys that users will use to access the API. These keys are linked to the policies, ensuring that users adhere to the defined access rights and restrictions. Tyke makes it easy to generate and manage these keys, providing a seamless experience for developers looking to secure their APIs.
In practice, securing a GraphQL endpoint with Tyke involves several straightforward steps. First, developers proxy their existing GraphQL service through Tyke, instantly adding a layer of security. Then, they configure the necessary authorization mechanisms and create policies to enforce field-based permissions and query depth limits. Finally, they generate keys and distribute them to users, ensuring that only authorized individuals can access the API.
This process not only enhances the security of GraphQL endpoints but also provides a scalable solution that can adapt to evolving security needs. By leveraging Tyke's comprehensive security features, developers can confidently secure their GraphQL APIs, protecting sensitive data and ensuring optimal performance.
In summary, securing GraphQL endpoints involves implementing authorization mechanisms, utilizing field-based permissions, and applying query depth limits to prevent potential threats. Tyke offers a powerful, integrated solution that simplifies this process, providing robust security features without the need for additional plugins. By creating policies and generating keys, developers can effectively manage API access and ensure that their GraphQL services remain secure and performant.
If you have existing GraphQL APIs or plan on building them in the future, join us for a 5-minute session to show you how to quickly secure them using Tyk.
This talk has been presented at GraphQL Galaxy 2020, check out the latest edition of this Tech Conference.
The purpose of the lightning talk is to demonstrate how to secure GraphQL endpoints using Tyke in five minutes.
The presenter of the talk is Matt Tanner, a product evangelist at Tyke.
The talk addresses adding authorization and authentication mechanisms, securing the schema to restrict field access to specific users, and protecting against denial of service attacks.
Query depth limiting in Tyke is used to protect against denial of service attacks by restricting the depth of nested queries.
Rate limiting and throttling can be enforced in Tyke by setting per-API limits and usage quotas within policies.
If a query violates the set field-based permissions in Tyke, the system will restrict access to the specified fields and return an error message.
Tyke supports various authentication modes including authentication tokens, mutual TLS, OAuth 2.0, and JWTs.
Tyke secures a GraphQL schema by adding field-based permissions and query depth limiting to prevent unauthorized access and denial of service attacks.
'Batteries included security' means that Tyke provides all necessary security features within its gateway without the need for additional plugins.
Tyke handles unauthorized access attempts by requiring an authentication token and enforcing policies that restrict access based on predefined permissions and limits.
In this video, you'll learn how to secure GraphQL endpoints using Tyk in just five minutes. The talk covers adding authorization, securing the schema, and protecting against denial of service attacks. Tyk offers various authentication modes like authentication tokens, mutual TLS, OAuth 2.0, and JOTS. It also supports rate limiting, throttling, and query depth limiting. The process is demonstrated using the TrevorBlades countries API. You'll see how to generate API keys, create policies, and set field-based permissions. The video also explains how to use Tyk with Docker Compose for easy setup. By adding an authorization header with the API key, you can access the GraphQL proxy playground. The depth limit feature is shown by running nested queries, ensuring the API is secured efficiently.
In this lightning talk, we will explore how to secure your GraphQL endpoints in five minutes using Tyke. We will address problems such as adding authorization, securing the schema, and protecting against denial of service attacks. Tyke provides batteries included security, eliminating the need for additional plugins. We will demonstrate the process by securing the TrevorBlades countries API through Tyke's proxy.
2. Securing GraphQL Endpoints
We support various authentication modes such as authentication tokens, mutual TLS, OAuth 2.0, and JOTS. To access the API, keys need to be generated and a policy created. The policy includes settings for rate limiting, throttling, and query depth limiting. Field-based permissions can be set to restrict access to specific fields. Finally, keys are added to the policy, and the GraphQL proxy playground can be accessed through the API.
3. Securing APIs with Tyke and GraphQL
I added an authorization header with our key to issue the query. After removing the blocked field, I ran the query and gained access to the API using the authentication token. Next, I demonstrated the restriction of code on type continent and type country. Then, I showcased the query depth limiting by running a nested query. Finally, I removed the restricted fields and received data. However, when I tried to go one level deeper and query countries' names, the depth limit was exceeded. This demonstrates how easily APIs can be secured with Tyke and our GraphQL features.
Tom Pressenwurter introduces Redwood.js, a full stack app framework for building GraphQL APIs easily and maintainably. He demonstrates a Redwood.js application with a React-based front end and a Node.js API. Redwood.js offers a simplified folder structure and schema for organizing the application. It provides easy data manipulation and CRUD operations through GraphQL functions. Redwood.js allows for easy implementation of new queries and directives, including authentication and limiting access to data. It is a stable and production-ready framework that integrates well with other front-end technologies.
This Talk discusses handling local state in software development, particularly when dealing with asynchronous behavior and API requests. It explores the challenges of managing global state and the need for actions when handling server data. The Talk also highlights the issue of fetching data not in Vuex and the challenges of keeping data up-to-date in Vuex. It mentions alternative tools like Apollo Client and React Query for handling local state. The Talk concludes with a discussion on GitLab going public and the celebration that followed.
Envelope is a powerful GraphQL plugin system that simplifies server development and allows for powerful plugin integration. It provides conformity for large corporations with multiple GraphQL servers and can be used with various frameworks. Envelope acts as the Babel of GraphQL, allowing the use of non-spec features. The Guild offers GraphQL Hive, a service similar to Apollo Studio, and encourages collaboration with other frameworks and languages.
The Talk discusses the challenges and advancements in using GraphQL and React together. It introduces RedwoodJS, a framework that simplifies frontend-backend integration and provides features like code generation, scaffolding, and authentication. The Talk demonstrates how to set up a Redwood project, generate layouts and models, and perform CRUD operations. Redwood automates many GraphQL parts and provides an easy way for developers to get started with GraphQL. It also highlights the benefits of Redwood and suggests checking out RedwoodJS.com for more information.
Today's Talk is about adopting GraphQL in an enterprise. It discusses the challenges of using REST APIs and the benefits of GraphQL. The Talk explores different approaches to adopting GraphQL, including coexistence with REST APIs. It emphasizes the power of GraphQL and provides tips for successful adoption. Overall, the Talk highlights the advantages of GraphQL in terms of efficiency, collaboration, and control over APIs.
GraphQL has made a huge impact in the way we build client applications, websites, and mobile apps. Despite the dominance of resolvers, the GraphQL specification does not mandate their use. Introducing Graphast, a new project that compiles GraphQL operations into execution and output plans, providing advanced optimizations. In GraphFast, instead of resolvers, we have plan resolvers that deal with future data. Graphfast plan resolvers are short and efficient, supporting all features of modern GraphQL.
Have you ever thought about building something that doesn't require a lot of boilerplate with a tiny bundle size? In this workshop, Scott Spence will go from hello world to covering routing and using endpoints in SvelteKit. You'll set up a backend GraphQL API then use GraphQL queries with SvelteKit to display the GraphQL API data. You'll build a fast secure project that uses SvelteKit's features, then deploy it as a fully static site. This course is for the Svelte curious who haven't had extensive experience with SvelteKit and want a deeper understanding of how to use it in practical applications.
Table of contents: - Kick-off and Svelte introduction - Initialise frontend project - Tour of the SvelteKit skeleton project - Configure backend project - Query Data with GraphQL - Fetching data to the frontend with GraphQL - Styling - Svelte directives - Routing in SvelteKit - Endpoints in SvelteKit - Deploying to Netlify - Navigation - Mutations in GraphCMS - Sending GraphQL Mutations via SvelteKit - Q&A
Build Modern Applications Using GraphQL and Javascript
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Come and learn how you can supercharge your modern and secure applications using GraphQL and Javascript. In this workshop we will build a GraphQL API and we will demonstrate the benefits of the query language for APIs and what use cases that are fit for it. Basic Javascript knowledge required.
In this workshop, you will get a first-hand look at what end-to-end type safety is and why it is important. To accomplish this, you’ll be building a GraphQL API using modern, relevant tools which will be consumed by a React client. Prerequisites: - Node.js installed on your machine (12.2.X / 14.X)- It is recommended (but not required) to use VS Code for the practical tasks- An IDE installed (VSCode recommended)- (Good to have)*A basic understanding of Node.js, React, and TypeScript
There are many advantages to using GraphQL as a datasource for frontend development, compared to REST APIs. We developers in example need to write a lot of imperative code to retrieve data to display in our applications and handle state. With GraphQL you cannot only decrease the amount of code needed around data fetching and state-management you'll also get increased flexibility, better performance and most of all an improved developer experience. In this workshop you'll learn how GraphQL can improve your work as a frontend developer and how to handle GraphQL in your frontend React application.
In this workshop, you’ll learn how to build a Next.js app that uses Apollo Client to fetch data from a headless WordPress backend and use it to render the pages of your app. You’ll learn when you should consider a headless WordPress architecture, how to turn a WordPress backend into a GraphQL server, how to compose queries using the GraphiQL IDE, how to colocate GraphQL fragments with your components, and more.
In this workshop we'll dig deeper into data modeling. We'll start with a discussion about various database types and how they map to GraphQL. Once that groundwork is laid out, the focus will shift to specific types of databases and how to build data models that work best for GraphQL within various scenarios. Table of contentsPart 1 - Hour 1 a. Relational Database Data Modeling b. Comparing Relational and NoSQL Databases c. GraphQL with the Database in mindPart 2 - Hour 2 a. Designing Relational Data Models b. Relationship, Building MultijoinsTables c. GraphQL & Relational Data Modeling Query Complexities Prerequisites a. Data modeling tool. The trainer will be using dbdiagram b. Postgres, albeit no need to install this locally, as I'll be using a Postgres Dicker image, from Docker Hub for all examples c. Hasura
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