#api development

Learn how to generate instant GraphQL APIs using a data source connector (GraphQL and non-GraphQL sources), extend and join them both with custom resolvers and deploy to the edge without leaving the code editor.

With the rise of frameworks, such as React, Vue or Angular, the way websites are built changed over the years. Modern applications can be very dynamic and perform multiple API requests to populate a website with fresh content or submit new data to a server. However, this paradigm shift introduced new problems developers need to deal with. When an API request is pending, succeeds, or fails, a user should be presented with meaningful feedback. Other problems can comprise API data caching or syncing the client state with the server. All of these problems require solutions that need to be coded, but these can quickly get out of hand and result in a codebase that is hard to extend and maintain. In this workshop, we will cover how to handle API requests, API states and request cancellation by implementing an API Layer and combining it with React-Query.
Prerequisites: To make the most out of this workshop, you should be familiar with React and Hooks, such as useState, useEffect, etc. If you would like to code along, make sure you have Git, a code editor, Node, and npm installed on your machine.

Get started with AG Grid React Data Grid with a hands-on tutorial from the core team that will take you through the steps of creating your first grid, including how to configure the grid with simple properties and custom components. AG Grid community edition is completely free to use in commercial applications, so you'll learn a powerful tool that you can immediately add to your projects. You'll also discover how to load data into the grid and different ways to add custom rendering to the grid. By the end of the workshop, you will have created an AG Grid React Data Grid and customized with functional React components.- Getting started and installing AG Grid- Configuring sorting, filtering, pagination- Loading data into the grid- The grid API- Using hooks and functional components with AG Grid- Capabilities of the free community edition of AG Grid- Customizing the grid with React Components

Prisma is an open-source ORM for Node.js and TypeScript. In this workshop, you’ll learn the fundamental Prisma workflows to model data, perform database migrations and query the database to read and write data. You’ll also learn how Prisma fits into your application stack, building a REST API and a GraphQL API from scratch using SQLite as the database.
Table of contents:
- Setting up Prisma, data modeling & migrations- Exploring Prisma Client to query the database- Building REST API routes with Express- Building a GraphQL API with Apollo Server

The Graph is an indexing protocol for querying networks like Ethereum, IPFS, and other blockchains. Anyone can build and publish open APIs, called subgraphs, making data easily accessible.

In this workshop you’ll learn how to build a subgraph that indexes NFT blockchain data from the Foundation smart contract. We’ll deploy the API, and learn how to perform queries to retrieve data using various types of data access patterns, implementing filters and sorting.

By the end of the workshop, you should understand how to build and deploy performant APIs to The Graph to index data from any smart contract deployed to Ethereum.

Table of contents:
- Deploying a premade GraphQL API
- Creating an edge worker + cache on Cloudflare
- Configuring caching based on typenames
- Adding invalidation based on mutation return types

This workshop will explore how to build GraphQL APIs backed Neo4j, a native graph database. The Neo4j GraphQL Library allows developers to quickly design and implement fully functional GraphQL APIs without writing any resolvers. This workshop will show how to use the Neo4j GraphQL Library to build a Node.js GraphQL API, including adding custom logic and authorization rules.

Table of contents:
- Overview of GraphQL and building GraphQL APIs
- Building Node.js GraphQL APIs backed a native graph database using the Neo4j GraphQL Library
- Adding custom logic to our GraphQL API using the @cypher schema directive and custom resolvers
- Adding authentication and authorization rules to our GraphQL API

The benefits of Node.js to develop real-time applications at scale are very well known. As Node.js architectures get more and more complex, visualization of your microservices-based architecture is crucial. However, the visualization of microservices is incredibly complex given the scale and the transactions across them. In this workshop, you will learn how to leverage service maps to instantly understand your architecture and troubleshoot any API error.

We will write a simple Express application and explore best practices when using Express. Then, we’ll deploy the application on AWS, integrate the environment with Epsagon, and deep-dive into various features of the platform to enable immediate detection and fast troubleshooting of application errors. Goals: Visualizing your architecture, monitoring your applications, reducing your mean time to detection and recovery (MTTD and MTTR).
Who should attend?
DevOps, Engineers, Cloud Architects, IT, Software Developers, Solution Architects and Engineers, SREs, and anyone who is running microservice-based applications (Kubernetes, containers, serverless functions, and more) in the cloud.

PrerequisitesWe prefer to use VSCode for a better experience (other IDEs are fine)Preinstall npm and node        Pre-existing AWS Account - You can create a free tier here        Attendees are free to create an Epsagon account in advance here, not mandatory