Set Up a Communications Platform on AWS with AI-Enhanced Services (TLC302) - AWS re:Invent 2018
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Imagine being able to transcribe calls, translate them into multiple languages and then being able to identify key topics discussed in those calls. All of that is possible today with machine learning services offered by AWS. In AWS, you can easily integrate your real-time communication infrastructure with state-of-the-art AI services to enhance user experience. In this workshop, learn how to set up a secure and highly available WebRTC system on AWS and then integrate it with AWS AI services to provide services such as transcription (Amazon Transcribe), translation (Amazon Translate), and meta-data creation (Amazon Comprehend).
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Build a Searchable Media Library & Moderate Content at Scale Using Machine Le...
Companies have to process, analyze, and extract meaning from ever-growing volumes of audio, image, and video data. Automating media workflows, such as image and video indexing or manual transcription for closed captions, can help you scale the growth of your media library and save time from manual, error-prone work. In this workshop, you learn how to automate workflows using the Media Analysis Solution, which includes Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. You learn how to extract metadata from media files and create a searchable library of metadata.
DEM20 Protecting Your Data in Amazon S3
Amazon S3 is an integral component of any cloud application deployed on AWS. Protecting our Amazon S3 instance must be a priority, a task that you, the user, are responsible for. In this session, Anuj Sawani walks through how Palo Alto Networks’ API-based cloud security capabilities can complement native AWS security features to help protect your S3 data and maintain compliance of your AWS usage. This session is brought to you by AWS Partner, Palo Alto Networks.
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Deep Dive into the AWS Connected Vehicle Reference Solution (AMT303) - AWS re...
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Build Your Own Royal Wedding Celebrity Viewing Experience (CTD401) - AWS re:I...
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“Cloud First” Helps Hub Intl Grow the Business with Splunk on AWS (ANT330-S) ...
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Building the Technical Foundation for Your Security Practice (GPSCT205) - AWS...
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Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302) - ...
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Pause and Resume your EC2 Instances with Hibernate (CMP392) - AWS re:Invent 2018
Pause and Resume your EC2 Instances with Hibernate (CMP392) - AWS re:Invent 2018
Best Practices for Securing an Amazon VPC (NET318) - AWS re:Invent 2018
Best Practices for Securing an Amazon VPC (NET318) - AWS re:Invent 2018
Foundations of AWS Global Cloud Infrastructure (ARC217) - AWS re:Invent 2018
Foundations of AWS Global Cloud Infrastructure (ARC217) - AWS re:Invent 2018
NFL and Forwood Safety Deploy Business Analytics at Scale with Amazon QuickSi...
NFL and Forwood Safety Deploy Business Analytics at Scale with Amazon QuickSi...
Securely Deploying at Scale (SEC378-R1) - AWS re:Invent 2018
Securely Deploying at Scale (SEC378-R1) - AWS re:Invent 2018
Closing Loops and Opening Minds: How to Take Control of Systems, Big and Smal...
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All About the Customer: GraphQL & Real-Time Subscriptions in Customer Service...
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Deploying Your ONNX Deep Learning with Apache MXNet Model Server (AIM413) - A...
Deploying Your ONNX Deep Learning with Apache MXNet Model Server (AIM413) - A...
Build a Searchable Media Library & Moderate Content at Scale Using Machine Le...
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Similar to Set Up a Communications Platform on AWS with AI-Enhanced Services (TLC302) - AWS re:Invent 2018
Operationalizing Machine Learning to Deliver Content at Scale (MAE306) - AWS ...
The world’s leading content creators, broadcasters, OTT providers, and distributors rely on Deluxe’s experience and expertise to globally create, transform, localize, and distribute hundreds of thousands of assets per month. This scale presents a unique set of challenges and opportunities, further multiplied by the benefits that cloud orchestration, automation, and self-service bring to technical teams. In this session, we dive into how we are applying machine learning to workflows such as fingerprinting and conformance, and specifically how we are operationalizing these as a set of primitives that can be consumed by both customers and services alike. We share our rationale behind our selection of machine learning technologies for workflows such as supply chain, creative and visual effects, where they make sense, and we discuss how we make them available to internal development and data science teams through our MLOps/DevOps pipelines.
Beyond Infrastructure for SAP on AWS (GPSTEC322) - AWS re:Invent 2018
Enterprises are seeing big business benefits by moving their SAP workloads to AWS. However, the migration to AWS is often just the first step in their innovation journeys. In this session, we share how enterprises are realizing their business transformations in the four major areas: big data & analytics, IoT, app & APIs, and DevOps, supported by a solid foundation of machine learning and compute services on AWS. We provide demonstrations so you can learn firsthand how to help your customers innovate using AWS solutions with SAP applications. Expect to leave this session with reference architectures and best practices for implementing these innovations in their SAP landscapes.
Vonage & Aspect: Transform Real-Time Communications & Customer Engagement (TL...
In this session, learn from market-leader Vonage how and why they re-architected their QoS-sensitive, highly available and highly performant legacy real-time communications systems to take advantage of Amazon EC2, Enhanced Networking, Amazon S3, ASG, Amazon RDS, Amazon ElastiCache, AWS Lambda, StepFunctions, Amazon SNS, Amazon SQS, Amazon Kinesis, Amazon EFS, and more. We also learn how Aspect, a multinational leader in call center solutions, used AWS Lambda, Amazon API Gateway, Amazon Kinesis, Amazon ElastiCache, Amazon Cognito, and Application Load Balancer with open-source API development tooling from Swagger, to build a comprehensive, microservices-based solution. Vonage and Aspect share their journey to TCO optimization, global outreach, and agility with best practices and insights.
Connected Product Development - Secure Cloud & Local Connectivity for Microco...
Learning Objectives:
- Configure and download Amazon FreeRTOS on supported hardware to quickly develop a POC
- Deploy a connected product running Amazon FreeRTOS and connect to AWS cloud services
- Connect a device running Amazon FreeRTOS to a local AWS Greengrass Core device
[NEW LAUNCH!] Introducing AWS App Mesh – service mesh on AWS (CON367) - AWS r...
AWS App Mesh is a new service mesh that provides visibility and control for microservices applications on AWS. It configures Envoy proxies using a control plane to handle tasks like load balancing, monitoring, and authentication cross multiple services. App Mesh currently supports Amazon ECS and EKS workloads and will add integrations for services like AWS Fargate.
Deploying Microservices using AWS Fargate (CON315-R1) - AWS re:Invent 2018
KPMG have built a customer due diligence solution for a high-profile banking client in AWS. The solution is made up of a number of microservices which are deployed to containers using AWS Fargate. This presentation will dive into the details of the architecture of the solution, how the infrastructure and applications are deployed using third party tools such as Hashicorp’s Terraform and Jenkins, and the best practices when running containers in production workloads. The presentation will cover details on the AWS resources used in the solution, including DynamoDB, ECS, Fargate and S3, CI/CD and automation, with a focus around security to meet banking regulatory requirements. We will look at how KPMG have configured for canary deployments to ECS Fargate, how we manage secrets management and encryption, and how we manage service discovery between the microservices using ECS Service Discovery and Route 53.
Cloud Migration Insights Forum, Perth
Learn more about the benefits of streamlining your cloud migrations and optimising the performance and value of your SAP, Oracle, VMware and Windows workloads running on AWS. Also features CP Mining's cloud journey.
Operational Excellence with Containerized Workloads Using AWS Fargate (CON320...
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Instrumenting Kubernetes for Observability Using AWS X-Ray and Amazon CloudWa...
In this hands-on workshop, we walk you through instrumenting container workloads running on the Amazon Elastic Container Service for Kubernetes (Amazon EKS). Learn how Amazon CloudWatch and the new AWS X-Ray capabilities enable you to quickly understand problem areas in your application and determine customer impact. To participate in this workshop, bring your laptop and have a nonproduction AWS account.
Cloud Migration Insights Forum, Sydney
Cloud Migration Insights Forum, presented in Sydney on 14 June 2018. Featuring Darren Shearsby, CIO of Compass Australia.
PaaS – From Code to Running Application using AWS Elastic Beanstalk (DEV323) ...
Come learn how Elastic Beanstalk can help you go from code to running application in a matter of minutes, without the need to provision or manage any of the underlying Amazon Web Services (AWS) resources. Hear how Qualcomm is able to migrate application to AWS faster than before through Forge, an internally built application platform that leverages Elastic Beanstalk to simplify the development and deployment of applications to AWS with security and organizational best practices out of the box.
Building Microservices with Containers (CON308-R1) - AWS re:Invent 2018
Microservices are minimal function services that are deployed separately, but can interact together to function as a broader application. Microservices can be built, changed, and deployed quickly with a relatively small impact, empowering developers to speed up the rate of innovation. In this session, we show how containers help enable microservices-based application architectures, discuss best practices for building new microservices, and cover the AWS services that allow you to build performant microservices applications.
[NEW LAUNCH!] Introducing AWS Elemental MantaRay (CTD325) - AWS re:Invent 2018
AWS Elemental MantaRay is a new service that makes it easy for broadcasters and other video providers to reliably ingest and distribute live video in the AWS Cloud. In this session, learn how customers of all sizes, from small outlets covering local sporting events to large national broadcast television networks with 24x7 live TV channels, ingest content from sources like stadiums or TV studios into the AWS Cloud – and then securely transmit video to multiple destinations with broadcast-grade reliability and operational visibility. Once video content is inside AWS, it becomes easier to use AWS for broader media workloads, such as storage, transformation, and machine learning, using AWS Media Services or Amazon Rekognition, for example. See firsthand how customers save money with cloud vs. traditional video distribution methods, and gain scale and agility in supporting new revenue streams.
Building and Moving Live Broadcasting to AWS (CTD305) - AWS re:Invent 2018
Learn how the BBC and Nine Network have enhanced the user experience and created new business models and opportunities, giving audiences more choices with more features, all while maintaining broadcast-grade service. When your business is providing live content to viewers, you know that there are no second chances. Audiences have come to expect a faultless live broadcast, and providers know they must ensure reliability with failover and redundancy plans. Learn how migrating to the cloud offers a new way to architect live-streaming workflows while maintaining the highest standards of resilience.
Microservices for Startups
This document summarizes a presentation on building microservices with AWS. It discusses what microservices are, benefits of the microservices architecture like agility and scalability. It then outlines several AWS services that can be used to build, deploy, and manage microservices including Amazon EC2, ECS, Lambda, API Gateway, CodeCommit, CodeDeploy, CodeBuild, CodePipeline, Secrets Manager, DynamoDB, CloudWatch, X-Ray, Step Functions, and service discovery. The presentation provides examples of how these services can support microservices development.
Airbus Goes Serverless with AWS to Improve Fleet Operations (MFG315) - AWS re...
Airbus is using AWS services to improve fleet operations by collecting large amounts of data from aircraft and analyzing it. The architecture includes collecting data from aircraft through routers and sending it to an AWS API platform and data lake. From there, AWS services like Elasticsearch, Lambda, and CloudWatch are used to index, process, and monitor the data. This allows Airbus to gain insights from the data and improve areas like predictive maintenance and aircraft performance.
Introduction to Serverless computing and AWS Lambda - Floor28
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With Serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more.
In this session, we will learn how to get started with Serverless computing using AWS Lambda, which lets you run code without provisioning or managing servers.
Introduction to Serverless computing and AWS Lambda | AWS Floor28
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more.In this session, we will learn how to get started with serverless computing using AWS Lambda, which lets you run code without provisioning or managing servers.
Amazon FreeRTOS: IoT Operating System for Microcontrollers (IOT208-R1) - AWS ...
In this presentation, we take a deeper look at Amazon FreeRTOS. As OEMs work to squeeze more functionality onto cheaper and smaller IoT devices, they face a series of challenges in development and operations that results in security vulnerabilities, inefficient code, compatibility issues, and unclear licensing. With Amazon FreeRTOS, it is now easier to build, deploy, and update connected microcontroller-based devices quickly and economically, while retaining confidence that the devices are secure. Also, learn how Pentair, a leading water treatment company, is developing an IoT solution with the help of Amazon FreeRTOS and Espressif Systems, a hardware partner.
The Serverless Tidal Wave - SwampUP 2018 Keynote
The document discusses the rise of serverless computing and its benefits. It describes how AWS pioneered serverless computing with AWS Lambda and has since expanded its serverless offerings. The serverless model provides easy scaling, high availability, and developers can focus on writing code without worrying about infrastructure management. Containers are also discussed as working with serverless computing.
Similar to Set Up a Communications Platform on AWS with AI-Enhanced Services (TLC302) - AWS re:Invent 2018 (20)
Operationalizing Machine Learning to Deliver Content at Scale (MAE306) - AWS ...
Operationalizing Machine Learning to Deliver Content at Scale (MAE306) - AWS ...
Beyond Infrastructure for SAP on AWS (GPSTEC322) - AWS re:Invent 2018
Beyond Infrastructure for SAP on AWS (GPSTEC322) - AWS re:Invent 2018
Vonage & Aspect: Transform Real-Time Communications & Customer Engagement (TL...
Vonage & Aspect: Transform Real-Time Communications & Customer Engagement (TL...
Connected Product Development - Secure Cloud & Local Connectivity for Microco...
Connected Product Development - Secure Cloud & Local Connectivity for Microco...
[NEW LAUNCH!] Introducing AWS App Mesh – service mesh on AWS (CON367) - AWS r...
[NEW LAUNCH!] Introducing AWS App Mesh – service mesh on AWS (CON367) - AWS r...
Deploying Microservices using AWS Fargate (CON315-R1) - AWS re:Invent 2018
Deploying Microservices using AWS Fargate (CON315-R1) - AWS re:Invent 2018
Operational Excellence with Containerized Workloads Using AWS Fargate (CON320...
Operational Excellence with Containerized Workloads Using AWS Fargate (CON320...
Instrumenting Kubernetes for Observability Using AWS X-Ray and Amazon CloudWa...
Instrumenting Kubernetes for Observability Using AWS X-Ray and Amazon CloudWa...
PaaS – From Code to Running Application using AWS Elastic Beanstalk (DEV323) ...
PaaS – From Code to Running Application using AWS Elastic Beanstalk (DEV323) ...
Building Microservices with Containers (CON308-R1) - AWS re:Invent 2018
Building Microservices with Containers (CON308-R1) - AWS re:Invent 2018
[NEW LAUNCH!] Introducing AWS Elemental MantaRay (CTD325) - AWS re:Invent 2018
[NEW LAUNCH!] Introducing AWS Elemental MantaRay (CTD325) - AWS re:Invent 2018
Building and Moving Live Broadcasting to AWS (CTD305) - AWS re:Invent 2018
Building and Moving Live Broadcasting to AWS (CTD305) - AWS re:Invent 2018
Airbus Goes Serverless with AWS to Improve Fleet Operations (MFG315) - AWS re...
Airbus Goes Serverless with AWS to Improve Fleet Operations (MFG315) - AWS re...
Introduction to Serverless computing and AWS Lambda - Floor28
Introduction to Serverless computing and AWS Lambda - Floor28
Introduction to Serverless computing and AWS Lambda | AWS Floor28
Introduction to Serverless computing and AWS Lambda | AWS Floor28
Amazon FreeRTOS: IoT Operating System for Microcontrollers (IOT208-R1) - AWS ...
Amazon FreeRTOS: IoT Operating System for Microcontrollers (IOT208-R1) - AWS ...
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Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
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.
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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.
Esegui pod serverless con Amazon EKS e AWS Fargate
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
Costruire Applicazioni Moderne con AWS
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
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!
Open banking as a service
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...
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...
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 Workloads
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.
Computer Vision con AWS
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.
Database Oracle e VMware Cloud on AWS i miti da sfatare
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 NodeJS
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.
API moderne real-time per applicazioni mobili e web
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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 sfatare
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.
Tools for building your MVP on AWS
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
How to Build a Winning Pitch Deck
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
Building a web application without servers
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
Fundraising Essentials
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
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This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Introduzione a Amazon Elastic Container Service
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.
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Set Up a Communications Platform on AWS with AI-Enhanced Services (TLC302) - AWS re:Invent 2018
- 2. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Set Up a Communications Platform on AWS with AI-Enhanced Services Ahmad R. Khan Solutions Architect Amazon Web Services T L C 3 0 2 Hasan Khan Senior Technical Account Manager Amazon Web Services
- 3. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Agenda Introduction to SIP/WebRTC Amazon AI services overview Set up, secure, and test WebRTC gateway Integrate transcribe/translate/comprehend WebRTC video demo
- 4. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
- 5. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. RTC components
- 6. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. WebRTC • JavaScript API that provides access to the webcam & microphone • Works in major browsers, including Chrome, Firefox, and Opera • Provides NAT traversal techniques • Peer-to-peer media and data channels
- 7. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Infrastructure services used
- 8. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. The AWS Machine Learning stack FRAMEWORKS KERAS PLATFORMS APPLICATION SERVICES
- 9. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. What we will build today FRAFOS WebRTC gateway FRAFOS SBC FRAFOS monitor
- 10. Thank you! © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Ahmad Khan Senior Solutions Architect Amazon Web Services Hasan Khan Senior Technical Account Manager Amazon Web Services
- 11. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.