GraphQL is a wonderful abstraction for describing and querying data. Apollo is an ambitious project to help you build apps with GraphQL. In this talk, we'll go over how all the parts—Client, Server, Dev Tools, Codegen, and more—create an end-to-end experience for building apps on top of any data.
## Detailed description
In today's development ecosystem, there are tons of options for almost every part of your application development process: UI rendering, styling, server side rendering, build systems, type checking, databases, frontend data management, and more. However, there's one part of the stack that hasn't gotten as much love in the last decade, because it usually falls in the cracks between frontend and backend developers: Data fetching.
The most common way to load data in apps today is to use a REST API on the server and manage the data manually on the client. Whether you're using Redux, MobX, or something else, you're usually doing everything yourself—deciding when to load data, how to keep it fresh, updating the store after sending updates to the server, and more. But if you're trying to develop the best user experience for your app, all of that gets in the way; you shouldn't have to become a systems engineer to create a great frontend. The Apollo project is based on the belief that data loading doesn't have to be complicated; instead, you should be able to easily get the data you want, when you want it, and it should be managed for you just like React manages updating your UI.
Because data loading touches both the frontend and backend of your app, GraphQL and Apollo have to include many parts to fulfill that promise of being able to seamlessly connect your data together. First, we need client libraries not only for React and JavaScript, but also for native iOS and Android. Then, we must bring server-side support for GraphQL queries, mutations, and most recently subscriptions to every server technology and make those servers easier to write. And finally, we want not only all of the tools that people are used to with REST APIs, but many more thanks to all of the capabilities enabled by GraphQL.
In this talk, we'll go over all of the parts of a GraphQL-oriented app architecture, and how different GraphQL and Apollo technologies come together to solve all of the parts of data loading and management for React developers.
It is a basic presentation which can help you understand the basic concepts about Graphql and how it can be used to resolve the frontend integration of projects and help in reducing the data fetching time
This presentation also explains the core features of Graphql and why It is a great alternative for REST APIs along with the procedure with which we can integrate it into our projects
by Richard Threlkeld, Sr. Product Manager, AWS
Most applications are data-driven and our app is no exception to that. However, mobile development has some unique problems to be solved. In this session, we’ll introduce you to GraphQL – the latest in mobile-centric data access protocols – and show you how GraphQL can help with these problems.
Max Panas (Web Developer @Agile Actors) and Stelios Charbalis (Software Engineer @Agile Actors) present GraphQL and how it compares to traditional REST API design at GreeceJS Meetup #14 (Athens, June 15, 2016).
In this presentation, Suraj Kumar Paul of Valuebound has walked us through GraphQL. Founded by Facebook in 2012, GraphQL is a data query language that provides an alternative to REST and web service architectures.
Here he has discussed core ideas of GraphQL, limitations of RESTful APIs, operations, arguments, fragmentation, variables, mutations etc.
----------------------------------------------------------
Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
GraphQL is a wonderful abstraction for describing and querying data. Apollo is an ambitious project to help you build apps with GraphQL. In this talk, we'll go over how all the parts—Client, Server, Dev Tools, Codegen, and more—create an end-to-end experience for building apps on top of any data.
## Detailed description
In today's development ecosystem, there are tons of options for almost every part of your application development process: UI rendering, styling, server side rendering, build systems, type checking, databases, frontend data management, and more. However, there's one part of the stack that hasn't gotten as much love in the last decade, because it usually falls in the cracks between frontend and backend developers: Data fetching.
The most common way to load data in apps today is to use a REST API on the server and manage the data manually on the client. Whether you're using Redux, MobX, or something else, you're usually doing everything yourself—deciding when to load data, how to keep it fresh, updating the store after sending updates to the server, and more. But if you're trying to develop the best user experience for your app, all of that gets in the way; you shouldn't have to become a systems engineer to create a great frontend. The Apollo project is based on the belief that data loading doesn't have to be complicated; instead, you should be able to easily get the data you want, when you want it, and it should be managed for you just like React manages updating your UI.
Because data loading touches both the frontend and backend of your app, GraphQL and Apollo have to include many parts to fulfill that promise of being able to seamlessly connect your data together. First, we need client libraries not only for React and JavaScript, but also for native iOS and Android. Then, we must bring server-side support for GraphQL queries, mutations, and most recently subscriptions to every server technology and make those servers easier to write. And finally, we want not only all of the tools that people are used to with REST APIs, but many more thanks to all of the capabilities enabled by GraphQL.
In this talk, we'll go over all of the parts of a GraphQL-oriented app architecture, and how different GraphQL and Apollo technologies come together to solve all of the parts of data loading and management for React developers.
It is a basic presentation which can help you understand the basic concepts about Graphql and how it can be used to resolve the frontend integration of projects and help in reducing the data fetching time
This presentation also explains the core features of Graphql and why It is a great alternative for REST APIs along with the procedure with which we can integrate it into our projects
by Richard Threlkeld, Sr. Product Manager, AWS
Most applications are data-driven and our app is no exception to that. However, mobile development has some unique problems to be solved. In this session, we’ll introduce you to GraphQL – the latest in mobile-centric data access protocols – and show you how GraphQL can help with these problems.
Max Panas (Web Developer @Agile Actors) and Stelios Charbalis (Software Engineer @Agile Actors) present GraphQL and how it compares to traditional REST API design at GreeceJS Meetup #14 (Athens, June 15, 2016).
In this presentation, Suraj Kumar Paul of Valuebound has walked us through GraphQL. Founded by Facebook in 2012, GraphQL is a data query language that provides an alternative to REST and web service architectures.
Here he has discussed core ideas of GraphQL, limitations of RESTful APIs, operations, arguments, fragmentation, variables, mutations etc.
----------------------------------------------------------
Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
Overview of GraphQL
How it is different from REST
When you should consider using it and when you should not
Incremental demos until calling GraphQL from an React application: https://github.com/bary822/graphQL-techtalk
This presentation was part of an internal training session at Jahia to make people aware of GraphQL, and also shared the lessons learned while working with it. It is intended for audiences that have no prior knowledge of GraphQL.
With the rise of Microservice Architectures and rich mobile and web applications, APIs are more important than ever. Come learn how to tackle modern API design challenges with GraphQL, an open-source API query language used by Facebook, Amazon, Microsoft, Twitter, Virgin Trains, and more.
GraphQL is a query language for APIs and a runtime for fulfilling those queries. It gives clients the power to ask for exactly what they need, which makes it a great fit for modern web and mobile apps. In this talk, we explain why GraphQL was created, introduce you to the syntax and behavior, and then show how to use it to build powerful APIs for your data. We will also introduce you to AWS AppSync, a GraphQL-powered serverless backend for apps, which you can use to host GraphQL APIs and also add real-time and offline capabilities to your web and mobile apps. You can follow along if you have an AWS account – no GraphQL experience required!
Level: Beginner
Speaker: Rohan Deshpande - Sr. Software Dev Engineer, AWS Mobile Applications
Introduction to GraphQL (or How I Learned to Stop Worrying about REST APIs)Hafiz Ismail
Talk for FOSSASIA 2016 (http://2016.fossasia.org)
----
This talk will give a brief and enlightening look into how GraphQL can help you address common weaknesses that you, as a web / mobile developer, would normally face with using / building typical REST API systems.
Let's stop fighting about whether we should implement the strictest interpretation of REST or how pragmatic REST-ful design is the only way to go, or debate about what REST is or what it should be.
A couple of demos (In Golang! Yay!) will be shown that are guaranteed to open up your eyes and see that the dawn of liberation for product developers is finally here.
Background: GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
Hafiz Ismail (@sogko) is a contributor to Go / Golang implementation of GraphQL server library (https://github.com/graphql-go/graphql) and is looking to encourage fellow developers to join in the collaborative effort.
The talk covers the following topics:
* Fundamental parts of a GraphQL server
* Defining API shape - GraphQL schema
* Resolving object fields
* Mutative APIs
* Making requests to a GraphQL server
* Solving N+1 query problem: dataloader
Getting Started with Spring for GraphQLVMware Tanzu
WaffleCorp is a major provider of breakfast products available direct to consumer or through our strategic partnerships. The current implementation of the e-commerce platform is a monolithic Spring MVC application that serves data through a collection of REST APIs.
Currently, the only provider of the REST API is our e-commerce web application. We've been tasked with opening up our APIs to our new iOS and Android apps, partner microservices, and IoT applications.
The issue we ran into is that a REST API is not a one-size-fits-all approach. We need a more flexible solution to meet the requirements of all of our client applications. This is a perfect use case for the speed and flexibility of GraphQL.
GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.
In this session, you’ll learn what GraphQL is and why you should consider it in your next project. You’ll learn how to use GraphQL in your Spring Boot applications by leveraging the Spring for GraphQL project. By the end of this session, you’ll understand how to stand up a GraphQL endpoint and request the data you need, and nothing more.
Learn how to build advanced GraphQL queries, how to work with filters and patches and how to embed GraphQL in languages like Python and Java. These slides are the second set in our webinar series on GraphQL.
Overview of GraphQL
How it is different from REST
When you should consider using it and when you should not
Incremental demos until calling GraphQL from an React application: https://github.com/bary822/graphQL-techtalk
This presentation was part of an internal training session at Jahia to make people aware of GraphQL, and also shared the lessons learned while working with it. It is intended for audiences that have no prior knowledge of GraphQL.
With the rise of Microservice Architectures and rich mobile and web applications, APIs are more important than ever. Come learn how to tackle modern API design challenges with GraphQL, an open-source API query language used by Facebook, Amazon, Microsoft, Twitter, Virgin Trains, and more.
GraphQL is a query language for APIs and a runtime for fulfilling those queries. It gives clients the power to ask for exactly what they need, which makes it a great fit for modern web and mobile apps. In this talk, we explain why GraphQL was created, introduce you to the syntax and behavior, and then show how to use it to build powerful APIs for your data. We will also introduce you to AWS AppSync, a GraphQL-powered serverless backend for apps, which you can use to host GraphQL APIs and also add real-time and offline capabilities to your web and mobile apps. You can follow along if you have an AWS account – no GraphQL experience required!
Level: Beginner
Speaker: Rohan Deshpande - Sr. Software Dev Engineer, AWS Mobile Applications
Introduction to GraphQL (or How I Learned to Stop Worrying about REST APIs)Hafiz Ismail
Talk for FOSSASIA 2016 (http://2016.fossasia.org)
----
This talk will give a brief and enlightening look into how GraphQL can help you address common weaknesses that you, as a web / mobile developer, would normally face with using / building typical REST API systems.
Let's stop fighting about whether we should implement the strictest interpretation of REST or how pragmatic REST-ful design is the only way to go, or debate about what REST is or what it should be.
A couple of demos (In Golang! Yay!) will be shown that are guaranteed to open up your eyes and see that the dawn of liberation for product developers is finally here.
Background: GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
Hafiz Ismail (@sogko) is a contributor to Go / Golang implementation of GraphQL server library (https://github.com/graphql-go/graphql) and is looking to encourage fellow developers to join in the collaborative effort.
The talk covers the following topics:
* Fundamental parts of a GraphQL server
* Defining API shape - GraphQL schema
* Resolving object fields
* Mutative APIs
* Making requests to a GraphQL server
* Solving N+1 query problem: dataloader
Getting Started with Spring for GraphQLVMware Tanzu
WaffleCorp is a major provider of breakfast products available direct to consumer or through our strategic partnerships. The current implementation of the e-commerce platform is a monolithic Spring MVC application that serves data through a collection of REST APIs.
Currently, the only provider of the REST API is our e-commerce web application. We've been tasked with opening up our APIs to our new iOS and Android apps, partner microservices, and IoT applications.
The issue we ran into is that a REST API is not a one-size-fits-all approach. We need a more flexible solution to meet the requirements of all of our client applications. This is a perfect use case for the speed and flexibility of GraphQL.
GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.
In this session, you’ll learn what GraphQL is and why you should consider it in your next project. You’ll learn how to use GraphQL in your Spring Boot applications by leveraging the Spring for GraphQL project. By the end of this session, you’ll understand how to stand up a GraphQL endpoint and request the data you need, and nothing more.
Learn how to build advanced GraphQL queries, how to work with filters and patches and how to embed GraphQL in languages like Python and Java. These slides are the second set in our webinar series on GraphQL.
The Query Service is the new platform solution for querying a variety of data sources. The goal of Query Service is that administrators can configure a metadata description of the data source that can then be used by end users without detailed knowledge of the underlying data source. This session explains how to configure Query Service data sources and use them with the RESTful API or component collection.
Shift Remote: WEB - GraphQL and React – Quick Start - Dubravko Bogovic (Infobip)Shift Conference
Have you ever wondered if there's a way to create simple real time apps? Were you ever tired of creating numerous APIs for your CRUD operations or just some simple aggregated data? There is a simple, fast way to do just that, GraphQL. Well look into what GraphQL can do for us, how to create a simple opensource GraphQL server on top of Postgres and how to use the data in our front end apps.
Azure Cosmos DB is Microsoft’s globally distributed, multi-model database service for operational and analytics workloads. It offers a multi-mastering feature by automatically scaling throughput, compute, and storage. You can elastically scale throughput and storage, and take advantage of fast, single-digit-millisecond data access using your favorite API including SQL Core(SQL API), MongoDB, Cassandra, Tables, or Gremlin. Cosmos DB provides comprehensive service level agreements (SLAs) for throughput, latency, availability, and several consistencies.
Lessons Learned From PayPal: Implementing Back-Pressure With Akka Streams And...Lightbend
Akka Streams and its amazing handling of streaming with back-pressure should be no surprise to anyone. But it takes a couple of use cases to really see it in action - especially in use cases where the amount of work continues to increase as you’re processing it. This is where back-pressure really shines.
In this talk for Architects and Dev Managers by Akara Sucharitakul, Principal MTS for Global Platform Frameworks at PayPal, Inc., we look at how back-pressure based on Akka Streams and Kafka is being used at PayPal to handle very bursty workloads.
In addition, Akara will also share experiences in creating a platform based on Akka and Akka Streams that currently processes over 1 billion transactions per day (on just 8 VMs), with the aim of helping teams adopt these technologies. In this webinar, you will:
*Start with a sample web crawler use case to examine what happens when each processing pass expands to a larger and larger workload to process.
*Review how we use the buffering capabilities in Kafka and the back-pressure with asynchronous processing in Akka Streams to handle such bursts.
*Look at lessons learned, plus some constructive “rants” about the architectural components, the maturity, or immaturity you’ll expect, and tidbits and open source goodies like memory-mapped stream buffers that can be helpful in other Akka Streams and/or Kafka use cases.
Running Airflow Workflows as ETL Processes on Hadoopclairvoyantllc
While working with Hadoop, you'll eventually encounter the need to schedule and run workflows to perform various operations like ingesting data or performing ETL. There are a number of tools available to assist you with this type of requirement and one such tool that we at Clairvoyant have been looking to use is Apache Airflow. Apache Airflow is an Apache Incubator project that allows you to programmatically create workflows through a python script. This provides a flexible and effective way to design your workflows with little code and setup. In this talk, we will discuss Apache Airflow and how we at Clairvoyant have utilized it for ETL pipelines on Hadoop.
GraphQL can be one of the best ways to make your product development more fun and productive. In this presentation I talk about how GraphQL makes your life simpler, and how to write and deploy a GraphQL API with Apollo Server 2.0 and serverless deployment via Netlify Functions.
AngularJS 1.x - your first application (problems and solutions)Igor Talevski
We will talk about all aspects of building a single page application with AngularJS, and we will discuss real examples from day-to-day work. We will also cover a large amount of theory about general web development, best practices, and today's client demands. We will focus on three (3) main points: architecture, security, and real time notification.
Nexthink Library - replacing a ruby on rails application with Scala and SprayMatthew Farwell
Applications without tests (legacy applications) present particular problems to developers when changes are required. Unless the change is very small, they require a lot of manual testing. This is even more true when we wish to completely replace such an application. At Nexthink, we replaced a legacy Ruby on Rails application with a web application written using Spray and Slick. There were two parts, a Rest API, accessed from lots of different version of our products, and an administration web interface to allow editing of the data. In replacing this application, we had to ensure that the new implementation returned exactly the same answers to requests as the old application for the same input criteria, without knowing in advance what the requests were. This presentation shows how a combination of technologies was used to achieve this goal, including: spray - for the reactive http container proxy - the new application was used as a proxy to the old application, and the results were compared with the new application (in production) scalacheck - to generate structured queries on the old and new application, for testing gatling - for performance tests This presentation covers both how the replacement was done, to ensure the minimum number of bugs in production, along with our subsequent experience in production.
Similar to Getting started with Apollo Client and GraphQL (20)
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
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Author: Robbie Edward Sayers
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(C) 2024 Robbie E. Sayers
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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5. Apollo
Set of tools to use with GraphQL
Server Libraries
• Apollo-server: bind graphQL endpoint to Node server
• Apollo-engine: Middleware for Node
• GraphQL-Tools: Build, mock, manipulate, stitch schemas
• Subscriptions-transport-ws: transport for Subscriptions
6. Apollo
Set of tools to use with GraphQL
Developer Tools
• Apollo Dev Tools
• Launchpad: Demo platform for GraphQL servers
• Apollo-Tracing: Performance Tracing
• Eslint-plugin-graphql
7. Apollo
Set of tools to use with GraphQL
Client Tools
• Apollo Client
• View integrations (react-apollo, etc)
8. Apollo Client
Fully featured GraphQL Client
• Incrementally Adoptable
• Universally Compatible
• Simple to get started with
• Inspectable and understandable
• Community Driven
16. Apollo Fetch
• Batching
• Reduced round trips for all data in view
• Loading state and network status tracking
• Error Handling with error policy options
• Refetch
• Polling Interval
• fetchMore (pagination)
17. Query Batching
• Sending Multiple queries to
server in one request
• Reduce round trips
• Single request means you can
utilize Data Loader for batching
actual data load from backend
DB
const client = new ApolloClient({
// ... other options ...
shouldBatch: true,
});
22. Repo:1 Repo:2
Caching Graphs
Repo
Demo-app
Name 1
IDStars
30
Usermrgn-w
Name
ID
30
Repo
Collection
Repo
cool-graph
Name 2
IDStars
12
Hierarchy Normalized
Repositories
Usermrgn-w
Name
ID
30
Repo
Collection
User:30
Repo:1 Repo:2
Repo
Demo-app
Name 1
IDStars
30
Repo
cool-graph
Name 2
IDStars
12
23. Syncing UI State
Repo
Demo-app
Name 1
ID
Stars
30
Repo:1
Repo
cool-graph
Name 2
ID
Stars
12
Repo:2User
mrgn-w
Name
ID
30
Repo
Collection
User:30
Repo:1 Repo:2
UIs are automatically subscribed to observe changes to cached records
and will automatically update
watchQuery method
View Integration
{repo: { id: 2, stars: 15 }}
15
Repo:2
24. Caching Client
• Manage data in one place
• All queries watch store for changes and update UI
accordingly
• Keep Data + UI consistent
• Avoid unnecessary refetches
UI
Component
UI
Component
27. cache-first
Tries reading from cache first
If all data is there in cache, returns that data
Only fetch from network if result is not in cache
Query
Cache
Network
Return
Data
28. network-and-cache
Tries reading from cache first
If the data is in the cache, that data is returned
Will always execute query with network interface, regardless
of if full data is in cache
Query
Cache
Network
Return
Data
30. cache-only
Never execute using network interface
Always fetch from cache
If data does not exist in cache, error is thrown
Allows you to only interact with data in your local client cache
Query
Cache
Return
Data
32. Cache Resolvers
Map of custom ways to resolve data from other parts of
cache
Allows us to tell Apollo Client to check the cache for a
particular object if that object may have been resolved
by another query
34. Further Query Optimization
• Batches queries
• UI responds to updates to rendered data automatically
• Reads from cache where appropriate
…But what about what’s left of the query that gets
sent?
35. GraphQL Execution Cycle
• Parses query into AST
• Validates if query makes sense given the schema
• Executes the query
36.
37.
38. GraphQL Execution Cycle
• Parses query into AST
• Validates if query makes sense given the schema
• Executes the query
39. • Aggregate query strings at build time
• Store Query to DB
• Return an ID to reference stored query
• Pass ID instead of query
40.
41.
42. • Mapping between GraphQL Documents and generated IDs
• Restricts queries accepted by the server by whitelisting
an allowed set
• Saves bandwidth between client and server by only
sending hash/id instead of full query
• Optimizes execution by not having to parse and validate
over and over on the server
Persisted Queries
43. • persistgraphql - Build tool
• Crawls client code for graphQL documents
• Creates mapping and IDs
• Writes to JSON file
• In Production mode, only the hash is sent
• Automatic persisted queries via Apollo Engine
• Protocol extension in front of GraphQL server
• Sends hash instead of text
• Server checks if there is a match in registry
• If not found, requests full text from client and saves has
to registry for subsequent requests
Persisted Queries
53. Apollo Client
• Fetch Data
• Cache
• Syncs client state + server
• Query manager
• Network Interface
• Framework Agnostic
• And more! (optimistic UI, SSR, etc)
54. Why Apollo Client?
Do more with less code
Reduce complexity
Modular Architecture
Flexible
Universal - Can manage ALL data
Highly customizable - No one size fits all, can be
crafted to fit your unique needs
Excellent tools