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
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
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/
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.
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.
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
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/
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.
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.
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
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 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.
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).
AWS Mobile Week at the San Francisco Loft
Introduction to GraphQL
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 Developer Engineer, AWS Mobile Applications
This presentation walks through essential points for developing and working with REST APIs or web services to communicate through various platforms. This also explains HTTP methods.
This Slid shows the GraphQL Fundamentals, cover below points.
* what: what is GraphQL
* who: Who builds GraphQL
* why: Why we need GraphQL
* how: How to use GraphQL
IT also cover
* Application Programming Interface (API History Image )
* Principles of REST API Design
* REST Flow / GraphQL Flow diagram
* Rest Traditional Data fetching.
* REST vs GraphQL
* Browser Tools
* GraphQL Mutation
* GraphQL Variables
* GraphQL Fragments
* Pain Points of GraphQL
Database Week at the San Francisco Loft
Graph & Neptune
Graph databases are purpose-built to store and navigate relationships. They have advantages for many use cases: social networking, recommendation engines, fraud detection, and others where you need to create relationships between data and quickly query these relationships. Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. We’ll discuss when you should use a graph database and look at how to use Neptune.
Speakers:
Taylor Riggan - Solutions Architect, AWS
Aditya Challa - Technical Account Manager, AWS
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
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 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.
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).
AWS Mobile Week at the San Francisco Loft
Introduction to GraphQL
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 Developer Engineer, AWS Mobile Applications
This presentation walks through essential points for developing and working with REST APIs or web services to communicate through various platforms. This also explains HTTP methods.
This Slid shows the GraphQL Fundamentals, cover below points.
* what: what is GraphQL
* who: Who builds GraphQL
* why: Why we need GraphQL
* how: How to use GraphQL
IT also cover
* Application Programming Interface (API History Image )
* Principles of REST API Design
* REST Flow / GraphQL Flow diagram
* Rest Traditional Data fetching.
* REST vs GraphQL
* Browser Tools
* GraphQL Mutation
* GraphQL Variables
* GraphQL Fragments
* Pain Points of GraphQL
Database Week at the San Francisco Loft
Graph & Neptune
Graph databases are purpose-built to store and navigate relationships. They have advantages for many use cases: social networking, recommendation engines, fraud detection, and others where you need to create relationships between data and quickly query these relationships. Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. We’ll discuss when you should use a graph database and look at how to use Neptune.
Speakers:
Taylor Riggan - Solutions Architect, AWS
Aditya Challa - Technical Account Manager, AWS
Graph databases are purpose-built to store and navigate relationships. They have advantages for many use cases: social networking, recommendation engines, fraud detection, and others where you need to create relationships between data and quickly query these relationships. Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. We’ll discuss when you should use a graph database and look at how to use Neptune.
Speaker: Taylor Riggan - Solutions Architect, AWS
by J. Bako, Solutions Architect, AWS
Graph databases are purpose-built to store and navigate relationships. They have advantages for many use cases: social networking, recommendation engines, fraud detection, and others where you need to create relationships between data and quickly query these relationships. Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. We’ll discuss when you should use a graph database and look at how to use Neptune.
Graph databases are purpose-built to store and navigate relationships. They have advantages for many use cases: social networking, recommendation engines, fraud detection, and others where you need to create relationships between data and quickly query these relationships. Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. We’ll discuss when you should use a graph database and look at how to use Neptune.
Neptune is a Graph database, but what is a graph database, when should it be used and how? Come to this sessions and learn about Neptune and the different use cases for graph databases and how it can be used, including demos.
Database Week at the San Francisco Loft: Graph & Neptune
Graph databases are purpose-built to store and navigate relationships. They have advantages for many use cases: social networking, recommendation engines, fraud detection, and others where you need to create relationships between data and quickly query these relationships. Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. We’ll discuss when you should use a graph database and look at how to use Neptune.
Speaker: Paul Fryer- Enterprise Solutions Architect, AWS
by Joseph Idziorek, Sr. Product Manager, AWS
Database Week at the AWS Loft is an opportunity to learn about Amazon’s broad and deep family of managed database services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon RDS and Amazon Aurora relational databases, Amazon DynamoDB non-relational databases, Amazon Neptune graph databases, and Amazon ElastiCache managed Redis, along with options for database migration, caching, search and more. You'll will learn how to get started, how to support applications, and how to scale.
Learning Objectives:
-Understand how to use a graph model and query languages to build applications over highly connected data
-Understand how the features of Amazon Neptune enable you to build production ready graph applications -Learn how to get started
Understanding Graph Databases: AWS Developer Workshop at Web SummitAmazon Web Services
Understanding Graph Databases: AWS Developer Workshop at Web Summit 2018
Speaker: Gabe Hollombe - Technical Evangelist, AWS
Different types of applications do better with different database technologies. Traditional relational databases are often our go-to choice, but if we're storing lots of relationships between data, a graph database might be a better option. In this session, we'll learn how graph databases differ from more familiar SQL and NoSQL options, and we'll review some of the use cases where graph databases really shine. I'll show how to leverage the power of the cloud to set up your own highly available, scalable, and secure graph database, and we'll run some queries on sample data to get more familiar with how to model and query data in a graph database.
GraphQL is an open standard that lets you request, change, and subscribe to the exact data you need in a single network request. This makes prototyping and building data-intensive applications as simple as writing a few lines of code. In this session we’ll introduce the core concepts of GraphQL and put that into practice with real-world implementations using tools such as AWS Lambda and AWS AppSync to deliver real-time collaborative experiences for web and mobile apps, using multiple data sources, managing off-line users’ data, and resolving data conflicts.
Ten Tips And Tricks for Improving Your GraphQL API with AWS AppSync (MOB401) ...Amazon Web Services
As you move your modern app to production, you need to consider how to scale, secure, and maintain your backend APIs. In this session, we provide some of the tips, tricks, and best practices for running serverless GraphQL APIs reliably on AWS. We cover topics such as versioning, multiple environments, CI/CD, advanced schema design, monitoring, alerting, and advanced search scenarios.
Building Real-Time Serverless Backends with GraphQL | AWS Floor28Amazon Web Services
GraphQL is an open standard that lets you request, change, and subscribe to the exact data you need in a single network request. This makes prototyping and building data-intensive applications as simple as writing a few lines of code. In this session, we’ll introduce the core concepts of GraphQL and put that into practice with real-world implementations using tools such as AWS AppSync and the AWS Amplify toolchain.
Build a Serverless Application using GraphQL & AWS AppSyncAmazon Web Services
In this workshop, you will learn how to build a serverless app with AppSync and GraphQL. Our serverless experts will show you how to build a weather app which pulls location data from a DynamoDB table and fetches current weather information from an open API for that location.
GraphQL is an open standard that lets you request, change, and subscribe to the exact data you need in a single network request. This makes prototyping and building data-intensive applications as simple as writing a few lines of code. In this session we’ll introduce the core concepts of GraphQL and put that into practice with real-world implementations using tools such as AWS Lambda and AWS AppSync to deliver real-time collaborative experiences for web and mobile apps, using multiple data sources, managing off-line users’ data, and resolving data conflicts.
Connecting the Unconnected using GraphDB - Tel Aviv Summit 2018Amazon Web Services
In this session, we will build on stage microservices that will be used to access in real time the data collected in the previous sessions. We will focus on Amazon Neptune, the new Graph database and Amazon Rekognition, the image recognition service.
Build an Interactive Alexa Voice Experience for Multiple Screens (ALX314-R2) ...Amazon Web Services
In this hands-on workshop, learn how to use Alexa to reach millions of new customers by developing for multiple screens. We walk step-by-step through the process of building an Alexa skill that takes advantage of a variety of screens, including Echo Show, tablets, and TVs. Learn best practices for combining voice interactions with displays using Alexa Presentation Language display templates. Bring your laptop. You will be coding.
Searching Your Data with Amazon Elasticsearch Service (ANT384) - AWS re:Inven...Amazon Web Services
Whether you’re dealing with log data, application data, or your data lake, your customers need to break through the wall of all available information to find that one piece of information they really need. Amazon Elasticsearch Service (Amazon ES), and more generally search engines, are built to provide low-latency, high-throughput, high-fidelity results for user queries. To build good search you need to exploit features of the query language, tune your relevance, and personalize results. In this chalk talk, we discuss best practices for searching your data.
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
95. Mix/Match Data Sources on GraphQL Types
Amazon DynamoDB
type Query {
listPosts: [Post]
searchPosts: [Post]
}
type Mutation {
addPost: Post
}
type Post {
id: ID!
content: String
description: String
ups: Int
downs: Int
}
Amazon Elasticsearch
listPosts
searchPosts
addPost
101. Simple
Only users in certain groups can perform actions
#if($hasPermission || $ctx.result.public == 'yes')
$utils.toJson($ctx.result)
#else
$utils.unauthorized()
#end
Only users in certain groups can perform actions
#if($ctx.result["Owner"] == $ctx.identity.username)
$utils.toJson($context.result);
#else
$utils.unauthorized()
#end
Advanced
Only users in certain groups can perform actions
#foreach($group in $ctx.identity.claims.get("cognito:groups"))
#if($group == "Admin")
#set($inCognitoGroup = true)
#end
#end
#if($inCognitoGroup)
{
…write/read from datasource
}
#else
$utils.unauthorized()
#end
Access control checks
107. Jane
Version : 2 Updated Document
Jane
Version : 2 Updated Document
Version : 3 Updated Document
Version : 1 New Document
Time
John
John
Jane goes offline
Jane comes back online
Version : 4 Updated Document
John
Jane
Data conflicts
108. • Conflict detection with optimistic version check
• Conflict resolution strategies:
• Client wins
• Server wins
• Silent reject
• Custom logic in AWS Lambda
• Client callback for conflict resolution is available
"condition" : {
"expression" : "someExpression"
"conditionalCheckFailedHandler" : {
"strategy" : "Custom",
"lambdaArn" : "arn:..."
}
}
Handle data conflicts in the cloud
109. • Offline is a write-through "Store"
• Persistent storage mediums back the Apollo
normalised cache
• Local Storage for web
• AsyncStorage for React Native
• SQLite on native platforms
• Database can be preloaded
• Offline client can be configured
• WiFi only
• WiFi and cellular
Offline capabilities – AppSync offline storage
114. Use GraphQL Use REST
When data drives UI
• Structured Data
• Complex Data
• Query-driven
• Real-time/Offline
Client-driven development
Pros: Contract-driven, Introspection,
Relations, Types
Conns: Not as ubiquitous as REST
When you leverage HTTP
• Caching
• Content Types
• Hypermedia (HATEOAS)
For Resources (e.g. Kinesis)
Pros: HTTP Client, Golden Standard,
HTTP/2 Performance gains
Conns: Over fetching/Under fetching
GraphQL or REST?
115. Bottom Line
It depends on the use case and, most importantly…
Good API Design!
GraphQL or REST?