Spring Security is a powerful and highly customizable authentication and authorization framework for Spring-based applications. It provides authentication via mechanisms like username/password, LDAP, and SSO. Authorization can be implemented through voting-based access control or expression-based access control at the web (URL) level and method level. It includes filters, providers, and services to handle authentication, authorization, logout, and remember-me functionality. Configuration can be done through XML or Java configuration with support for common annotations.
This document provides an introduction and overview of GraphQL, including:
- A brief history of GraphQL and how it was created by Facebook and adopted by other companies.
- How GraphQL provides a more efficient alternative to REST APIs by allowing clients to specify exactly the data they need in a request.
- Some key benefits of GraphQL like its type system, declarative data fetching, schema stitching, introspection, and versioning capabilities.
- Some disadvantages like potential complexity in queries and challenges with rate limiting.
GraphQL is an application layer query language developed by Facebook that allows clients to define queries for retrieving multiple resources from an API in a single request. It uses a type system and schema to define the data and operations available. GraphQL aims to solve issues with REST APIs like over-fetching and under-fetching data by allowing clients to specify exactly what data they need.
Spring Boot is a framework for creating stand-alone, production-grade Spring based Applications that can be "just run". It provides starters for auto-configuration of common Spring and third-party libraries providing features like Thymeleaf, Spring Data JPA, Spring Security, and testing. It aims to remove boilerplate configuration and promote "convention over configuration" for quick development. The document then covers how to run a basic Spring Boot application, use Rest Controllers, Spring Data JPA, Spring Security, and testing. It also discusses deploying the application on a web server and customizing through properties files.
This presentation shows what are JSON Web Tokens, explaining about the structure, signature, encryption and how we can integrate this with Authentication/Authorization together with Spring Security.
The link for the project in Github is:
https://github.com/BHRother/spring-boot-security-jwt
The example implements JWT + Spring Security in a Spring-Boot project.
An introduction to reactive programming concepts and basics. I aim here to show what's reactive programming, why it's used and show some frameworks and benchmarks that support it.
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
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.
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 as an alternative approach to REST (as presented at Java2Days/CodeMon...luisw19
Originally designed by Facebook to allow its mobile clients to define exactly what data should be send back by an API and therefore avoid unnecessary roundtrips and data usage, GraphQL is a JSON based query language for Web APIs. Since it was open sourced by Facebook in 2015, it has undergone very rapid adoption and many companies have already switch to the GraphQL way of building APIs – see http://GraphQL.org/users.
However, with some many hundreds of thousands of REST APIs publicly available today (and many thousands others available internally), what are the implications of moving to GraphQL? Is it really worth the effort of replacing REST APIs specially if they’re successful and performing well in production? What are the pros/cons of using GraphQL? What tools / languages can be used for GraphQL? What about API Gateways? What about API design?
With a combination of rich content and hands-on demonstrations, attend this session for a point of view on how address these and many other questions, and most importantly get a better understanding and when/where/why/if GraphQL applies for your organisation or specific use case.
This document provides an introduction to GraphQL, including:
1. It summarizes REST and some of its limitations like overfetching/underfetching and multiple network requests.
2. GraphQL is introduced as a new approach focused on the client's data needs through queries rather than the server's resources. It allows clients to request specific data fields from multiple objects in a single request.
3. The document explains GraphQL concepts like queries, mutations, subscriptions, schemas defined using SDL, and query resolvers that map the schema to execution.
4. It provides an example of implementing GraphQL with a blog service using Spring Boot and discusses some performance tradeoffs and challenges of GraphQL.
GraphQL: Enabling a new generation of API developer toolsSashko Stubailo
This document discusses the history and benefits of GraphQL as an API layer between frontends and backends. It provides examples of how GraphQL allows flexible queries to get only necessary data, and describes tools like GraphiQL, static query analysis, code generation and dev tools that improve the developer experience. GraphQL provides a shared language for frontend and backend teams to communicate about data requirements and optimize performance.
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 document provides an overview of GraphQL, including:
- GraphQL allows clients to request specific data fields from an API rather than entire resources.
- It addresses limitations of REST such as multiple requests being needed to get related data.
- Many large companies use GraphQL including Facebook, GitHub, and Yelp.
- GraphQL has a type system including object, query, mutation, scalar and other types.
- Examples demonstrate basic GraphQL syntax and concepts like fields, arguments, and fragments.
- Additional resources are provided for learning more about GraphQL.
This document introduces GraphQL, describing what it is and isn't. It explains that GraphQL is not a query language like SQL, but rather specifies fields that can be resolved through code. The document provides examples of GraphQL schemas, queries, and mutations. It also discusses GraphQL integration with various technologies like Relay and Java libraries. Finally, it demonstrates GraphQL tooling like GraphiQL and an example DX integration.
1. The document discusses GraphQL, an API query language created by Facebook. It introduces GraphQL concepts like queries, mutations, and subscriptions.
2. An example compares fetching data from a REST API versus a GraphQL API. GraphQL allows fetching all required data with a single request, whereas REST requires multiple requests.
3. React and GraphQL are a good fit because GraphQL is declarative, allowing developers to focus on what data is needed rather than how to fetch it. Popular GraphQL clients like Apollo make fetching data even more declarative.
This document is a presentation on GraphQL fundamentals. It was created by Virbhadra S. Ankalkote from BORN Group. The presentation covers what GraphQL is, who created it, why it was created, and how it works. It defines GraphQL as a query language for APIs that fulfills queries with existing data. It notes that Facebook developed GraphQL in 2012 for their native mobile app. In comparison to REST APIs, GraphQL allows clients to get precisely the data they need in one request. The presentation explains the GraphQL specification and includes sections on reading and writing data, using variables and fragments, and limitations such as indefinite querying depth.
Introduction to GraphQL Presentation.pptxKnoldus Inc.
GraphQL is an open-source data query and manipulation language for APIs and a query runtime engine. GraphQL enables declarative data fetching where a client can specify exactly what data it needs from an API
8 Reasons to Use React Query" is likely a presentation discussing the benefits of using the React Query library for managing and caching data in a React application. The slides may cover topics such as efficient data fetching, automatic caching and stale-while-revalidate, real-time updates, and easy-to-use hooks for handling queries and mutations. Additionally, the slides may also highlight how React Query helps improve the performance, developer experience, and user experience of the application.
- GraphQL is a query language and runtime for APIs that provides better performance, flexibility, and developer experience compared to REST. It allows clients to define exactly the structure and relations between data needed from the server.
- A GraphQL server is defined by a schema that specifies the types of objects and the fields they contain. Resolvers retrieve data and are independent of data sources. This allows GraphQL to work with various databases and services.
- Client-side frameworks like Relay and Apollo utilize GraphQL's capabilities by batching queries to minimize requests. The ecosystem is growing rapidly with server and client implementations in many languages.
This document provides an introduction to GraphQL, including its history and key concepts. It discusses how GraphQL works with queries and mutations, schemas and types, validations and executions. Comparisons are made between GraphQL and REST. Examples of GraphQL queries and schemas are shown. Benefits of GraphQL include minimal code changes, no need for versioning, and handling client-specific data with one endpoint. Disadvantages include lack of "select *" and potential for large argument objects. Major companies using GraphQL are cited.
This document introduces Quarkus, an open source Java framework for building container-native microservices. Quarkus uses GraalVM to compile Java code ahead-of-time, resulting in applications that are up to 10x smaller and 100x faster to start than traditional Java applications. It is optimized for Kubernetes and serverless workloads. Quarkus achieves these benefits through ahead-of-time compilation using GraalVM, which analyzes code statically and removes unused classes and code to generate efficient native executables.
What is GraphQL? Why GraphQL? How to GraphQL?
Workshops introduction presentation
GraphQL Developers https://selleo.com/graphql-expert-developers-team
This document summarizes and compares several GraphQL libraries for Java: graphql-java, graphql-java-kickstart, and dgs-framework. It discusses their features for defining schemas and types, handling data fetching and caching, performing mutations, handling errors, testing functionality, and code generation capabilities. Overall, dgs-framework requires the least amount of boilerplate code, supports testing and code generation more fully, and is designed specifically for use within Spring Boot applications.
GraphQL is query language for APIs, but what are the advantages and how would one implement such in their microservices/APIs. In this session, I will go through the basics of GraphQL, different aspects of GraphQL and architecture of such APIs. There will be a demo/live-coding on, how 3 different ways we can implement GraphQL for a Springboot microservice/API. Lots of examples, live coding and helpful comparison on structure, usage and implementations of GraphQL in Springboot & Java world.
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.
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 as an alternative approach to REST (as presented at Java2Days/CodeMon...luisw19
Originally designed by Facebook to allow its mobile clients to define exactly what data should be send back by an API and therefore avoid unnecessary roundtrips and data usage, GraphQL is a JSON based query language for Web APIs. Since it was open sourced by Facebook in 2015, it has undergone very rapid adoption and many companies have already switch to the GraphQL way of building APIs – see http://GraphQL.org/users.
However, with some many hundreds of thousands of REST APIs publicly available today (and many thousands others available internally), what are the implications of moving to GraphQL? Is it really worth the effort of replacing REST APIs specially if they’re successful and performing well in production? What are the pros/cons of using GraphQL? What tools / languages can be used for GraphQL? What about API Gateways? What about API design?
With a combination of rich content and hands-on demonstrations, attend this session for a point of view on how address these and many other questions, and most importantly get a better understanding and when/where/why/if GraphQL applies for your organisation or specific use case.
This document provides an introduction to GraphQL, including:
1. It summarizes REST and some of its limitations like overfetching/underfetching and multiple network requests.
2. GraphQL is introduced as a new approach focused on the client's data needs through queries rather than the server's resources. It allows clients to request specific data fields from multiple objects in a single request.
3. The document explains GraphQL concepts like queries, mutations, subscriptions, schemas defined using SDL, and query resolvers that map the schema to execution.
4. It provides an example of implementing GraphQL with a blog service using Spring Boot and discusses some performance tradeoffs and challenges of GraphQL.
GraphQL: Enabling a new generation of API developer toolsSashko Stubailo
This document discusses the history and benefits of GraphQL as an API layer between frontends and backends. It provides examples of how GraphQL allows flexible queries to get only necessary data, and describes tools like GraphiQL, static query analysis, code generation and dev tools that improve the developer experience. GraphQL provides a shared language for frontend and backend teams to communicate about data requirements and optimize performance.
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 document provides an overview of GraphQL, including:
- GraphQL allows clients to request specific data fields from an API rather than entire resources.
- It addresses limitations of REST such as multiple requests being needed to get related data.
- Many large companies use GraphQL including Facebook, GitHub, and Yelp.
- GraphQL has a type system including object, query, mutation, scalar and other types.
- Examples demonstrate basic GraphQL syntax and concepts like fields, arguments, and fragments.
- Additional resources are provided for learning more about GraphQL.
This document introduces GraphQL, describing what it is and isn't. It explains that GraphQL is not a query language like SQL, but rather specifies fields that can be resolved through code. The document provides examples of GraphQL schemas, queries, and mutations. It also discusses GraphQL integration with various technologies like Relay and Java libraries. Finally, it demonstrates GraphQL tooling like GraphiQL and an example DX integration.
1. The document discusses GraphQL, an API query language created by Facebook. It introduces GraphQL concepts like queries, mutations, and subscriptions.
2. An example compares fetching data from a REST API versus a GraphQL API. GraphQL allows fetching all required data with a single request, whereas REST requires multiple requests.
3. React and GraphQL are a good fit because GraphQL is declarative, allowing developers to focus on what data is needed rather than how to fetch it. Popular GraphQL clients like Apollo make fetching data even more declarative.
This document is a presentation on GraphQL fundamentals. It was created by Virbhadra S. Ankalkote from BORN Group. The presentation covers what GraphQL is, who created it, why it was created, and how it works. It defines GraphQL as a query language for APIs that fulfills queries with existing data. It notes that Facebook developed GraphQL in 2012 for their native mobile app. In comparison to REST APIs, GraphQL allows clients to get precisely the data they need in one request. The presentation explains the GraphQL specification and includes sections on reading and writing data, using variables and fragments, and limitations such as indefinite querying depth.
Introduction to GraphQL Presentation.pptxKnoldus Inc.
GraphQL is an open-source data query and manipulation language for APIs and a query runtime engine. GraphQL enables declarative data fetching where a client can specify exactly what data it needs from an API
8 Reasons to Use React Query" is likely a presentation discussing the benefits of using the React Query library for managing and caching data in a React application. The slides may cover topics such as efficient data fetching, automatic caching and stale-while-revalidate, real-time updates, and easy-to-use hooks for handling queries and mutations. Additionally, the slides may also highlight how React Query helps improve the performance, developer experience, and user experience of the application.
- GraphQL is a query language and runtime for APIs that provides better performance, flexibility, and developer experience compared to REST. It allows clients to define exactly the structure and relations between data needed from the server.
- A GraphQL server is defined by a schema that specifies the types of objects and the fields they contain. Resolvers retrieve data and are independent of data sources. This allows GraphQL to work with various databases and services.
- Client-side frameworks like Relay and Apollo utilize GraphQL's capabilities by batching queries to minimize requests. The ecosystem is growing rapidly with server and client implementations in many languages.
This document provides an introduction to GraphQL, including its history and key concepts. It discusses how GraphQL works with queries and mutations, schemas and types, validations and executions. Comparisons are made between GraphQL and REST. Examples of GraphQL queries and schemas are shown. Benefits of GraphQL include minimal code changes, no need for versioning, and handling client-specific data with one endpoint. Disadvantages include lack of "select *" and potential for large argument objects. Major companies using GraphQL are cited.
This document introduces Quarkus, an open source Java framework for building container-native microservices. Quarkus uses GraalVM to compile Java code ahead-of-time, resulting in applications that are up to 10x smaller and 100x faster to start than traditional Java applications. It is optimized for Kubernetes and serverless workloads. Quarkus achieves these benefits through ahead-of-time compilation using GraalVM, which analyzes code statically and removes unused classes and code to generate efficient native executables.
What is GraphQL? Why GraphQL? How to GraphQL?
Workshops introduction presentation
GraphQL Developers https://selleo.com/graphql-expert-developers-team
This document summarizes and compares several GraphQL libraries for Java: graphql-java, graphql-java-kickstart, and dgs-framework. It discusses their features for defining schemas and types, handling data fetching and caching, performing mutations, handling errors, testing functionality, and code generation capabilities. Overall, dgs-framework requires the least amount of boilerplate code, supports testing and code generation more fully, and is designed specifically for use within Spring Boot applications.
GraphQL is query language for APIs, but what are the advantages and how would one implement such in their microservices/APIs. In this session, I will go through the basics of GraphQL, different aspects of GraphQL and architecture of such APIs. There will be a demo/live-coding on, how 3 different ways we can implement GraphQL for a Springboot microservice/API. Lots of examples, live coding and helpful comparison on structure, usage and implementations of GraphQL in Springboot & Java world.
GraphQL across the stack: How everything fits togetherSashko Stubailo
My talk from GraphQL Summit 2017!
In this talk, I talk about a future for GraphQL which builds on the idea that GraphQL enables lots of tools to work together seamlessly across the stack. I present this through the lens of 3 examples: Caching, performance tracing, and schema stitching.
Stay tuned for the video recording from GraphQL Summit!
GraphQL is a query language for APIs that allows clients to request specific data rather than entire resources. It addresses common problems with REST APIs like over-fetching data. Several GraphQL libraries exist for Java including graphql-java, graphql-java-kickstart, graphql-dgs-framework, and spring-graphql. These libraries differ in features like code generation, error handling, testing support, and available clients. Spring GraphQL is considered the most mature option as it integrates directly with Spring Boot and allows testing all code.
1. The document discusses how to use GraphQL with ApolloJS and provides an overview of both technologies. It introduces the presenter and covers GraphQL history, companies using GraphQL, advantages over REST, how to use GraphQL, and what ApolloJS is and its products.
2. It then summarizes how to set up an ApolloJS server including installing ApolloServer, defining types and schemas, resolving queries and mutations, using DataLoader for performance, subscriptions, and directives.
3. The presentation concludes with references for further reading on GraphQL and ApolloJS.
GraphQL is query language for APIs, but what are the advantages and how would one implement such in their microservices/APIs. In this session, I will go through the basics of GraphQL, different aspects of GraphQL and architecture of such APIs. There will be a demo/live-coding on, how 4 different ways we can implement GraphQL for a Springboot microservice/API. Lots of examples, live coding and helpful comparison on structure, usage and implementations of GraphQL in Springboot & Java world.
This presentation is about Web APIs in general and MicroProfile GraphQL in particular. It has been used for EclipseCon 2020 and is backed by a GitHub project (link on slide 11).
GraphQL is query language for APIs, but what are the advantages and how would one implement such in their microservices/APIs. In this session, I will go through the basics of GraphQL, different aspects of GraphQL and architecture of such APIs. How 4 different ways we can implement GraphQL for a Springboot microservice/API.
This document provides an overview of Kotlin backend development with a focus on GraphQL and REST APIs. Key points include:
- The author has over 10 years of experience with functional reactive full stack development using Kotlin.
- GraphQL is introduced as an API format developed by Facebook that is strongly typed, self-documenting, and allows clients to specify the data they need in one request.
- Frameworks like Apollo and additional libraries can expand GraphQL's capabilities by adding features like caching, monitoring, and schema stitching.
- The author focuses on using Apollo for its support across platforms like Kotlin, JavaScript, iOS, and Android. Reasons for choosing Apollo include its wide backend support
How easy (or hard) it is to monitor your graph ql service performanceRed Hat
- GraphQL performance monitoring can be challenging as queries can vary significantly even when requesting the same data. Traditional endpoint monitoring provides little insight.
- Distributed tracing using OpenTracing allows tracing queries to monitor performance at the resolver level. Tools like Jaeger and plugins for Apollo Server and other GraphQL servers can integrate tracing.
- A demo showed using the Apollo OpenTracing plugin to trace a query through an Apollo server and resolver to an external API. The trace data was sent to Jaeger for analysis to help debug performance issues.
GraphQL is quickly becoming mainstream as one of the best ways to get data into your React application. When we see people modernize their app architecture and move to React, they often want to migrate their API to GraphQL as part of the same effort. But while React is super easy to adopt in a small part of your app at a time, GraphQL can seem like a much larger investment. In this talk, we’ll go over the fastest and most effective ways for React developers to incrementally migrate their existing APIs and backends to GraphQL, then talk about opportunities for improvement in the space. If you’re using React and are interested in GraphQL, but are looking for an extra push to get it up and running at your company, this is the talk for you!
Sashko Stubailo - The GraphQL and Apollo Stack: connecting everything togetherReact Conf Brasil
Apresentado na React Conf Brasil, em São Paulo, 7 de Outubro de 2017 #reactconfbr
I’ve been exploring the space of declarative developer tools and frameworks for over five years. Most recently, I was the founding member of the Apollo project at Meteor Development Group. My greatest passion is to make software development simpler, and enable more people to create software to bring good to the world.
https://medium.com/@stubailo
@stubailo
- Patrocínio: Pipefy, Globo.com, Meteor, Apollo, Taller, Fullcircle, Quanto, Udacity, Cubos, Segware, Entria
- Apoio: Concrete, Rung, LuizaLabs, Movile, Rivendel, GreenMile, STQ, Hi Platform
- Promoção: InfoQ, DevNaEstrada, CodamosClub, JS Ladies, NodeBR, Training Center, BrazilJS, Tableless, GeekHunter
- Afterparty: An English Thing
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.
Dan Vega discussed upcoming changes and improvements in Spring including Spring Boot 3, which will have support for JDK 17, Jakarta EE 9/10, ahead-of-time compilation, improved observability with Micrometer, and Project Loom's virtual threads. Spring Boot 3.1 additions were also highlighted such as Docker Compose integration and Spring Authorization Server 1.0. Spring Boot 3.2 will focus on embracing virtual threads from Project Loom to improve scalability of web applications.
Confoo - Javascript Server Side : How to startQuentin Adam
nodeJS, claypool, APE, map reduce en nosql, yql... Le javascript server side est un sujet d'actualité, une tendance de fond est en train d'émerger. Et la mise en avant des outils dans la communauté progresse rapidement.
La promesse d'un seul langage sur le client et le serveur d'une application web est très attirante alors que HTML5, les websockets, les webworker, les local storage sont en train de se faire une place dans le futur du web.
Cette conférence a pour but de vous permettre de mieux appréhender cet écosystème à travers son historique, l'exposé des standards émergeant, des avantages et défauts des différentes solutions proposées et en présentant les briques communes.
Quels projets pouvez vous entreprendre sur ces technologies ?
Est-ce possible à intégrer en production ?
L'administration et l'intégration de ces outils au SI d'une entreprise est il possible ?
Ces technologies vont elles s'implanter ou rester des expérimentations de techniciens sous stéroïdes ?
What AI Means For Your Product Strategy And What To Do About ItVMware Tanzu
The document summarizes Matthew Quinn's presentation on "What AI Means For Your Product Strategy And What To Do About It" at Denver Startup Week 2023. The presentation discusses how generative AI could impact product strategies by potentially solving problems companies have ignored or allowing competitors to create new solutions. Quinn advises product teams to evaluate their strategies and roadmaps, ensure they understand user needs, and consider how AI may change the problems being addressed. He provides examples of how AI could influence product development for apps in home organization and solar sales. Quinn concludes by urging attendees not to ignore AI's potential impacts and to have hard conversations about emerging threats and opportunities.
Make the Right Thing the Obvious Thing at Cardinal Health 2023VMware Tanzu
This document discusses the evolution of internal developer platforms and defines what they are. It provides a timeline of how technologies like infrastructure as a service, public clouds, containers and Kubernetes have shaped developer platforms. The key aspects of an internal developer platform are described as providing application-centric abstractions, service level agreements, automated processes from code to production, consolidated monitoring and feedback. The document advocates that internal platforms should make the right choices obvious and easy for developers. It also introduces Backstage as an open source solution for building internal developer portals.
Enhancing DevEx and Simplifying Operations at ScaleVMware Tanzu
Cardinal Health introduced Tanzu Application Service in 2016 and set up foundations for cloud native applications in AWS and later migrated to GCP in 2018. TAS has provided Cardinal Health with benefits like faster development of applications, zero downtime for critical applications, hosting over 5,000 application instances, quicker patching for security vulnerabilities, and savings through reduced lead times and staffing needs.
Platforms, Platform Engineering, & Platform as a ProductVMware Tanzu
This document discusses building platforms as products and reducing developer toil. It notes that platform engineering now encompasses PaaS and developer tools. A quote from Mercedes-Benz emphasizes building platforms for developers, not for the company itself. The document contrasts reactive, ticket-driven approaches with automated, self-service platforms and products. It discusses moving from considering platforms as a cost center to experts that drive business results. Finally, it provides questions to identify sources of developer toil, such as issues with workstation setup, running software locally, integration testing, committing changes, and release processes.
This document provides an overview of building cloud-ready applications in .NET. It defines what makes an application cloud-ready, discusses common issues with legacy applications, and recommends design patterns and practices to address these issues, including loose coupling, high cohesion, messaging, service discovery, API gateways, and resiliency policies. It includes code examples and links to additional resources.
Dan Vega discussed new features and capabilities in Spring Boot 3 and beyond, including support for JDK 17, Jakarta EE 9, ahead-of-time compilation, observability with Micrometer, Docker Compose integration, and initial support for Project Loom's virtual threads in Spring Boot 3.2 to improve scalability. He provided an overview of each new feature and explained how they can help Spring applications.
Spring Cloud Gateway - SpringOne Tour 2023 Charles Schwab.pdfVMware Tanzu
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The document provides information about a Tanzu Developer Connect Workshop on Tanzu Application Platform. The agenda includes welcome and introductions on Tanzu Application Platform, followed by interactive hands-on workshops on the developer experience and operator experience. It will conclude with a quiz, prizes and giveaways. The document discusses challenges with developing on Kubernetes and how Tanzu Application Platform aims to improve the developer experience with features like pre-configured templates, developer tools integration, rapid iteration and centralized management.
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Simplify and Scale Enterprise Apps in the Cloud | Dallas 2023VMware Tanzu
This document discusses simplifying and scaling enterprise Spring applications in the cloud. It provides an overview of Azure Spring Apps, which is a fully managed platform for running Spring applications on Azure. Azure Spring Apps handles infrastructure management and application lifecycle management, allowing developers to focus on code. It is jointly built, operated, and supported by Microsoft and VMware. The document demonstrates how to create an Azure Spring Apps service, create an application, and deploy code to the application using three simple commands. It also discusses features of Azure Spring Apps Enterprise, which includes additional capabilities from VMware Tanzu components.
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SpringOne Tour: The Influential Software EngineerVMware Tanzu
The document discusses the importance of culture in software projects and how to influence culture. It notes that software projects involve people and personalities, not just technology. It emphasizes that culture informs everything a company does and is very difficult to change. It provides advice on being aware of your company's culture, finding ways to inculcate good cultural values like writing high-quality code, and approaches for influencing decision makers to prioritize culture.
SpringOne Tour: Domain-Driven Design: Theory vs PracticeVMware Tanzu
This document discusses domain-driven design, clean architecture, bounded contexts, and various modeling concepts. It provides examples of an e-scooter reservation system to illustrate domain modeling techniques. Key topics covered include identifying aggregates, bounded contexts, ensuring single sources of truth, avoiding anemic domain models, and focusing on observable domain behaviors rather than implementation details.
SpringOne Tour: Spring Recipes: A Collection of Common-Sense SolutionsVMware Tanzu
This document provides an overview of a presentation on various Spring topics including Spring Boot, building web applications, working with databases, Spring Cloud, Spring Security, testing, and production. It includes examples of problems and solutions for common tasks such as connecting to databases, calling other services, monitoring applications, handling failures gracefully, and securing REST APIs with JSON web tokens.
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2. Who are we
Andreas Marek
● GraphQL Java creator and maintainer
● GraphQL contributor and Technical Steering
Committee member
● Spring GraphQL co-creator
● Working at Atlassian, Sydney
● @andimarek on twitter and github
Rossen Stoyanchev
● Spring Framework committer - Spring MVC,
WebFlux, web messaging, RSocket
● RSocket Java committer
● Spring GraphQL co-creator
● Working at VMware, Cambridge, UK
● @rstoya05 on twitter
5. What is GraphQL?
GraphQL is a technology for client server data exchange
● A clients wants to access data on a server (across a network)
● Originally developed by Facebook for their iOS app in 2012
● Open sourced in 2015, governed by a non profit foundation today
● Two pillars: statically typed API + query language
● Sweet spots are Single Page Apps and native clients
● An alternative to REST(ish) APIs
● My favourite argument for GraphQL: the developer experience
8. The two pillars of GraphQL
GraphQL Schema
● Describes your API
● Defined on the server
● Based on a simple static types system
● Schema Definition Language (SDL) is used to
describe a Schema
GraphQL Query Language
● Custom query language
● Clients define the query based on their needs
● Every field needs to be requested explicitly
12. The GraphQL ecosystem
GraphQL ecosystem is based on a specification
● The GraphQL specification defines how GraphQL queries should be executed
● It defines the GraphQL schema + query language
● First there was the spec + reference implementation in JS (GraphQL.JS)
● Next it was implemented in every major language
14. GraphQL Java
GraphQL Java is the GraphQL implementation for Java
● It is an implementation for the server side GraphQL execution (also called execution
engine)
● Started mid 2015
● Pure engine: no HTTP or IO. No high level abstracts.
● Used word wide and empowers a whole ecosystem of libraries build on top
● https://graphql-java.com/
15. How to think in GraphQL Java
Schema first and DataFetchers
● Start designing by putting the Schema first
● Use case and client oriented
● Define the schema in SDL (textual format, preferred) or programmatically
● Schema is made out of types with fields
● Fundamental rule: every field has a DataFetcher associated with
● DataFetcher fetches the data for one field
● If you don’t specify a DataFetcher a default DataFetcher is provided
19. From GraphQL Java to Spring GraphQL
Spring GraphQL is the missing gap in the developer story
● GraphQL Java is “limited” on purpose
● GraphQL Java lets you do everything, but not everything is as simple and convenient
as possible
● The Spring and GraphQL Java teams came together to fix that
● Spring GraphQL is focused on comprehensive and first level support
● It aims to be a fundamental building block build directly on GraphQL Java
31. Security and Context Propagation
Spring MVC
ThreadLocal context propagation from
Servlet container thread
Need to register ThreadLocalAccessor
Built-in accessor for Spring Security context
Spring WebFlux
Reactor context propagation from web layer
Spring Security context propagated
42. Exception Handling
GraphQL Java allows registering a single DataFetcherExceptionHandler
Spring GraphQL enables a DataFetcherExceptionResolver chain
DataFetcherExceptionResolver
ExceptionResolversExceptionHandler
DataFetcherExceptionResolver
DataFetcherExceptionResolver
44. Querydsl
Typesafe way to express queries in Java that works across multiple data stores
Spring Data has support for Querydsl
45. Spring GraphQL and Querydsl
QuerydslDataFetcher
Adapts a Spring Data repository to DataFetcher
Translates GraphQL query parameters to Querydsl Predicate
47. Match based on query return type for
top-level queries
Automatic Registration
48. More on Querydsl
Customize how GraphQL request parameters are mapped to Querydsl Predicate
Transform the resulting Objects via interface and DTO projections
49. GraphQlTester
Workflow for testing GraphQL
Automatic checks to verify no errors in response
Use JsonPath to specify data to inspect
Data decoding
53. Spring Boot Starter
Currently In Spring GraphQL repository, group id ‘org.springframework.experimental’
Due to move to Spring Boot, after version 2.6 is released
54. Collaboration with Netflix DGS
Optional, alternative starter to run DGS on the spring-graphql core
DGS programming model + spring-graphql WebMvc / WebFlux foundation
spring-graphql starter to become the main starter eventually
55. Netflix DGS Features
Annotation based registration of data fetchers, data loaders, scalars, etc.
Code generation for GraphQL Schema -> Java/Kotlin
GraphQL client for Java/Kotlin
Federation
57. Roadmap Features
Evolve controller programming model, #63 (batch loaders), #110 (bean validation)
Automated registration of Spring Data repositories, #99
Query by Example (QBE) support as an alternative to Querydsl, #115
GraphQL client, #10
More...