AWS re:Invent is the largest global gathering of the Amazon Web Services community held in Las Vegas. Our five-day 2016 agenda, which is comprised of over 400 breakout sessions and attracted over 32,000 attendees, offers expanded opportunities to learn about AWS solutions, how the cloud impacts your business, including deep dives into hot topics including IoT and AI, new perspectives on cloud issues, and more chances to learn from the experts.
Not able to attend? Don’t worry, we are bringing AWS re:Invent to Hong Kong on Jan 19, 2017. Packed into a one-day format, AWS re:Invent 2016 Recap Hong Kong will showcase the key products, services, and enhancements recently announced in Las Vegas; Including new services for Big Data & Analytics, Architecture, Developers and Enterprises, etc. Local AWS customers are also invited to share their post re:Invent perspectives and ongoing successes with AWS so you can learn more from their successful stories.
Come join us at this event to hear new AWS product announcements addressed by the AWS Team!
Big Data Architectural Patterns and Best Practices on AWSAmazon Web Services
The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
AWS re:Invent 2016: Delighting Customers Through Device Data with Salesforce ...Amazon Web Services
The Internet of Things (IoT) produces vast quantities of data that promise a deep, always connected view into customer experiences through their devices. In this connected age, the question is no longer how do you gather customer data, but what do you do with all that data. How do you ingest at massive scale and develop meaningful experiences for your customers? In this session, you learn how Salesforce IoT Cloud works in concert with the AWS IoT engine to ingest and transform all of the data generated by every one of your customers, partners, devices, and sensors into meaningful action. You also see how customers are using Salesforce and AWS together to process massive quantities of data, build business rules with simple, intuitive tools, and engage proactively with customers in real time. Session sponsored by Salesforce.
Mai-Lan Tomsen Bukovec, Vice President and General Manager Amazon S3.
Axel Winter, Group CTO, Central Group
George Wang, SVP IT, Singapore Airlines
Akshay Garg, CEO, FinAccel
Join builders, dreamers and innovators across South East Asia for the 2018 AWS Summit Singapore Keynote.
Watch live as Mai-Lan Tomsen Bukovec, Vice President and General Manager Amazon S3, together with AWS Customers Singapore Airlines, Central Group and FinAccel share how to build for tomorrow’s world.
Big Data Architectural Patterns and Best Practices on AWSAmazon Web Services
The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
AWS re:Invent 2016: Delighting Customers Through Device Data with Salesforce ...Amazon Web Services
The Internet of Things (IoT) produces vast quantities of data that promise a deep, always connected view into customer experiences through their devices. In this connected age, the question is no longer how do you gather customer data, but what do you do with all that data. How do you ingest at massive scale and develop meaningful experiences for your customers? In this session, you learn how Salesforce IoT Cloud works in concert with the AWS IoT engine to ingest and transform all of the data generated by every one of your customers, partners, devices, and sensors into meaningful action. You also see how customers are using Salesforce and AWS together to process massive quantities of data, build business rules with simple, intuitive tools, and engage proactively with customers in real time. Session sponsored by Salesforce.
Mai-Lan Tomsen Bukovec, Vice President and General Manager Amazon S3.
Axel Winter, Group CTO, Central Group
George Wang, SVP IT, Singapore Airlines
Akshay Garg, CEO, FinAccel
Join builders, dreamers and innovators across South East Asia for the 2018 AWS Summit Singapore Keynote.
Watch live as Mai-Lan Tomsen Bukovec, Vice President and General Manager Amazon S3, together with AWS Customers Singapore Airlines, Central Group and FinAccel share how to build for tomorrow’s world.
Data Lake allows an organisation to store all of their data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. In this session we will explore the architecture of a Data Lake on AWS and cover topics such as storage, processing and security.
In this session you will hear how Amazon Web Services (AWS) operates at scale and services over 1 Million customers, which maps to even more API calls every single second. Come and hear about how they deal with APIs, operate at scale and help to create lego block services that helps them to be customer obsessed.
Join AWS Partner Bynder and CTO Roland Keijzer as he gives the steps from Startup to partner with Amazon Web Services. Roland will talk about the process from company inception to getting started, and how to expand from a small Dutch Startup to a Global Player. Also, he will give tips on the AWS Resources leveraged to support this growth.
How TrueCar Gains Actionable Insights with Splunk Cloud PPTAmazon Web Services
The vast amount of big data that today’s companies generate makes it difficult to separate the signal from the noise. Organizations need to derive meaningful insights into operations and business to take action. TrueCar needed a better way to manage, search, and analyze their hybrid environment. In this webinar, you’ll learn how TrueCar centralized all of their data in one place using Amazon Kinesis and Splunk Cloud, gaining deep visibility, scalability, and the ability to monitor and troubleshoot operational issues – all while migrating to AWS.
Deep Dive on AWS Mobile Hub for Enterprise Mobile Applications Amazon Web Services
Mobile app development is complex and time-consuming. AWS Mobile Hub simplifies the process of building, testing, and monitoring mobile applications that make use of a range of AWS services. In this webinar, we will show step-by-step how to build apps with AWS Mobile Hub. We will also discuss the recent enhancement since our launch last year.
Learning Objectives:
• Learn how to build mobile apps faster with AWS Mobile Hub
• Learn about the recent enhancement of AWS Mobile Hub
Alexa is the speech processing and personal assistant technology behind Amazon Echo. Speech-based user interfaces represent one of the next major disruptions in computing and the Alexa Voice Service (AVS) provides you with an opportunity to take advantage of this new form of interaction. In this session, we’ll walk through the recently-released AVS API by building a voice-enabled application and then go behind the scenes with Alexa, diving into the architecture and unique technical challenges faced during development.
Modern data architectures for real time analytics and engagementAmazon Web Services
The AWS Workshop Series Online is a series of live webinars designed for IT professionals who are looking to leverage the AWS Cloud to build and transform their business, are new to the AWS Cloud or looking to further expand their skills and expertise. In this series, we will cover:" Modern Data Architectures for Real-time Analytics and Engagement'.
AWS provides a broad platform of managed services to help you build, secure, and seamlessly scale end-to-end Big Data applications quickly and with ease. Want to get ramped up on how to use Amazon's big data web services? Learn when to use which service? Want to write your first big data application on AWS? Join us in this session as we discuss reference architecture, design patterns, and best practices for pulling together various AWS services to meet your big data challenges.
Media and Entertainment Industry Day Keynote - Bhavik VyasAmazon Web Services
Bhavik Vyas is AWS Worldwide Business Development leader for the Media and Entertainment Industry.
He presents a State of Media and Entertainment update, bringing in typical scenarios in Media, Broadcast, and video productions, and demonstrating how they are addressed using the AWS Cloud. Customer references are presented, alongside a quick overview of solutions.
Opening keynote at the AWS Media and Entertainment industry day, in Toronto, 2017.
FSV307-Capital Markets Discovery How FINRA Runs Trade Analytics and Surveilla...Amazon Web Services
FINRA’s analytics platform unlocks the value in capital markets data by accelerating trade analytics and providing a foundation for machine learning at scale. The platform enables FINRA’s analysts to perform discovery on petabytes of trade data to identify instances of potential fraud, market manipulation, and insider trading. By centralizing all data in S3, FINRA’s architecture offers improved agility, scalability, and cost effectiveness. Analytics services such as Amazon EMR and Amazon Redshift have freed FINRA’s data scientists from the constraints of desktop tools, allowing them to apply machine learning techniques to develop and test new surveillance patterns. All of this is done while meeting FINRA’s security and compliance responsibilities as a financial regulator. At the end of this session, you’ll have an understanding of how to apply FINRA’s architecture to trade analytics and other financial services use cases, including meeting regulatory requirements such as the Consolidated Audit Trail (CAT) reporting.
ABD331_Log Analytics at Expedia Using Amazon Elasticsearch ServiceAmazon Web Services
Expedia uses Amazon Elasticsearch Service (Amazon ES) for a variety of mission-critical use cases, ranging from log aggregation to application monitoring and pricing optimization. In this session, the Expedia team reviews how they use Amazon ES and Kibana to analyze and visualize Docker startup logs, AWS CloudTrail data, and application metrics. They share best practices for architecting a scalable, secure log analytics solution using Amazon ES, so you can add new data sources almost effortlessly and get insights quickly.
When evaluating and planning migrating your data from on premises to the Cloud, you might encounter physical limitations. Amazon offers a suite of tools to help you surmount these limitations by moving data using networks, roads, and technology partners. In this session, we discuss how to move large amounts of data into and out of the Cloud in batches, increments, and streams.
Data Lake allows an organisation to store all of their data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. In this session we will explore the architecture of a Data Lake on AWS and cover topics such as storage, processing and security.
In this session you will hear how Amazon Web Services (AWS) operates at scale and services over 1 Million customers, which maps to even more API calls every single second. Come and hear about how they deal with APIs, operate at scale and help to create lego block services that helps them to be customer obsessed.
Join AWS Partner Bynder and CTO Roland Keijzer as he gives the steps from Startup to partner with Amazon Web Services. Roland will talk about the process from company inception to getting started, and how to expand from a small Dutch Startup to a Global Player. Also, he will give tips on the AWS Resources leveraged to support this growth.
How TrueCar Gains Actionable Insights with Splunk Cloud PPTAmazon Web Services
The vast amount of big data that today’s companies generate makes it difficult to separate the signal from the noise. Organizations need to derive meaningful insights into operations and business to take action. TrueCar needed a better way to manage, search, and analyze their hybrid environment. In this webinar, you’ll learn how TrueCar centralized all of their data in one place using Amazon Kinesis and Splunk Cloud, gaining deep visibility, scalability, and the ability to monitor and troubleshoot operational issues – all while migrating to AWS.
Deep Dive on AWS Mobile Hub for Enterprise Mobile Applications Amazon Web Services
Mobile app development is complex and time-consuming. AWS Mobile Hub simplifies the process of building, testing, and monitoring mobile applications that make use of a range of AWS services. In this webinar, we will show step-by-step how to build apps with AWS Mobile Hub. We will also discuss the recent enhancement since our launch last year.
Learning Objectives:
• Learn how to build mobile apps faster with AWS Mobile Hub
• Learn about the recent enhancement of AWS Mobile Hub
Alexa is the speech processing and personal assistant technology behind Amazon Echo. Speech-based user interfaces represent one of the next major disruptions in computing and the Alexa Voice Service (AVS) provides you with an opportunity to take advantage of this new form of interaction. In this session, we’ll walk through the recently-released AVS API by building a voice-enabled application and then go behind the scenes with Alexa, diving into the architecture and unique technical challenges faced during development.
Modern data architectures for real time analytics and engagementAmazon Web Services
The AWS Workshop Series Online is a series of live webinars designed for IT professionals who are looking to leverage the AWS Cloud to build and transform their business, are new to the AWS Cloud or looking to further expand their skills and expertise. In this series, we will cover:" Modern Data Architectures for Real-time Analytics and Engagement'.
AWS provides a broad platform of managed services to help you build, secure, and seamlessly scale end-to-end Big Data applications quickly and with ease. Want to get ramped up on how to use Amazon's big data web services? Learn when to use which service? Want to write your first big data application on AWS? Join us in this session as we discuss reference architecture, design patterns, and best practices for pulling together various AWS services to meet your big data challenges.
Media and Entertainment Industry Day Keynote - Bhavik VyasAmazon Web Services
Bhavik Vyas is AWS Worldwide Business Development leader for the Media and Entertainment Industry.
He presents a State of Media and Entertainment update, bringing in typical scenarios in Media, Broadcast, and video productions, and demonstrating how they are addressed using the AWS Cloud. Customer references are presented, alongside a quick overview of solutions.
Opening keynote at the AWS Media and Entertainment industry day, in Toronto, 2017.
FSV307-Capital Markets Discovery How FINRA Runs Trade Analytics and Surveilla...Amazon Web Services
FINRA’s analytics platform unlocks the value in capital markets data by accelerating trade analytics and providing a foundation for machine learning at scale. The platform enables FINRA’s analysts to perform discovery on petabytes of trade data to identify instances of potential fraud, market manipulation, and insider trading. By centralizing all data in S3, FINRA’s architecture offers improved agility, scalability, and cost effectiveness. Analytics services such as Amazon EMR and Amazon Redshift have freed FINRA’s data scientists from the constraints of desktop tools, allowing them to apply machine learning techniques to develop and test new surveillance patterns. All of this is done while meeting FINRA’s security and compliance responsibilities as a financial regulator. At the end of this session, you’ll have an understanding of how to apply FINRA’s architecture to trade analytics and other financial services use cases, including meeting regulatory requirements such as the Consolidated Audit Trail (CAT) reporting.
ABD331_Log Analytics at Expedia Using Amazon Elasticsearch ServiceAmazon Web Services
Expedia uses Amazon Elasticsearch Service (Amazon ES) for a variety of mission-critical use cases, ranging from log aggregation to application monitoring and pricing optimization. In this session, the Expedia team reviews how they use Amazon ES and Kibana to analyze and visualize Docker startup logs, AWS CloudTrail data, and application metrics. They share best practices for architecting a scalable, secure log analytics solution using Amazon ES, so you can add new data sources almost effortlessly and get insights quickly.
When evaluating and planning migrating your data from on premises to the Cloud, you might encounter physical limitations. Amazon offers a suite of tools to help you surmount these limitations by moving data using networks, roads, and technology partners. In this session, we discuss how to move large amounts of data into and out of the Cloud in batches, increments, and streams.
In this presentation from the recent AWS Oil & Gas event in Aberdeen we introduce the AWS cloud, its benefits and some of the organisations that are using AWS today.
We also cover some specific use-case and case-studies in the oil and gas sector.
AWS re:Invent 2016 : announcement, technical demos and feedbacksEmmanuel Quentin
Slides of our intervention with Mathieu Mailhos about re:Invent 2016 :
- Annoucements
- Technical demonstration of Athena, monitoring via Lambda and step function
- Feedbacks
Scripts available here : https://gist.github.com/manuquentin/adee523b60a4723e9e4819ea69713ab6
AWS re:Invent 2016: Internet of Things (IoT) Edge and Device Services (IOT202)Amazon Web Services
AWS IoT edge and device services make it easy to get started and scale quickly along with your business needs. Medical equipment, industrial machinery, building automation, and simple device to trigger services, are just a few physical-world use cases that are benefiting from elastic cloud computing while meeting the local execution requirements and real time responsiveness. This session covers the intersection between the device and cloud industries, and the way AWS and our customers will shape the future of those industries together. We will showcase how our customers are using AWS IoT Button, the IoT Device SDKs, and other AWS services to improve the existing business models, invent new way of working, and balance the benefits of the cloud services with the need for local execution.
With the rise of eCommerce and ease of global shipping, shoppers cross physical and geographical boundaries for the best deals during seasonal promotion like Black Friday in US, Singles Day in China. With these new challenges, running a eCommerce platform and providing great user experience for worldwide customer become the job zero for all the sellers.
In this session, we will cover best practices for being able to handle those traffic spikes. We will also share experiences gained from Amazon.com and one of the biggest "flash sale" case. We also have customer sharing on the managing a multi-tenant eCommerce platform at scale.
Creating Your Virtual Data Center: VPC Fundamentals and Connectivity OptionsAmazon Web Services
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). First, we will cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, and much more. We will then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks AWS makes available with VPC and how you can connect this with your offices and current data center footprint.
Creating Your Virtual Data Center: VPC Fundamentals and Connectivity OptionsAmazon Web Services
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). First, we will cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, and much more. We will then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks AWS makes available with VPC and how you can connect this with your offices and current data center footprint.
AWS re:Invent 2016: Relational and NoSQL Databases on AWS: NBC, MarkLogic, an...Amazon Web Services
Learn how the AWS Marketplace brings together customers who have challenges with ISVs who have solutions to those challenges. See how to use relational and NoSQL technologies on AWS to build enterprise and consumer apps. NBC used MarkLogic to deliver an award-winning app that can handle high traffic levels and unexpected usage spikes. NBC’s popular, Emmy-winning, “SNL 40” was launched to celebrate the 40th anniversary of Saturday Night Live, and delivers four decades of sketches and performances. Hosted on AWS, the app — as well as a browser-based platform — are powered by the MarkLogic Enterprise NoSQL database. Come learn from the team who collaborated on this project how to run your own database on AWS, and how to integrate with Amazon RDS and other data stores. A world-recognized automotive brand needed to deliver real-time response about their worldwide fleet vehicles. You will learn how they used a combination of AWS services and FileMaker Cloud, (an Apple subsidiary, procured through AWS Marketplace) to deliver high-scale dealer-facing applications.
AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers to its users. This session will familiarize you with the benefits of containers, introduce Amazon EC2 Container Service (ECS), and demonstrate how to use Amazon ECS for your applications.
Amazon WorkSpaces is a secure, managed, virtual desktop service running on the AWS cloud. The service helps organizations support a modern mobile workforce, improve information security, and save money with a pay-as-you-go model. In this session, we'll cover how cloud desktops can benefit your organization, what's new with Amazon WorkSpaces, and some of the top technical considerations like user identity and access management, VPC design, network traffic flow, and application delivery. This session is for IT professionals and business decision makers interested in learning how to simplify desktop management and productivity for their organizations.
Getting Started with Windows Workloads on Amazon EC2 - TorontoAmazon Web Services
Thinking through how you want to run Microsoft Windows Server and application workloads on AWS is straightforward, when you have a game plan. Understanding which service to leverage– like Amazon EC2, Amazon RDS, and Directory Services to name a few – will accelerate the process further. There are also a number of new enhancements to help make things even easier. In this session we will walk through how to think about mapping to the various AWS services available so you can get your deployment or migration project off to the right start. Think of this session as the decoder ring between your on-premises deployment and what you can expect from the AWS cloud for your Microsoft Windows Server and applications.
Getting Started with Managed Database Services on AWS - September 2016 Webina...Amazon Web Services
On AWS you can choose from a variety of managed database services that save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We'll explain the fundamentals of Amazon RDS, a managed relational database service in the cloud; Amazon DynamoDB, a fully managed NoSQL database service; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We will cover how each service might help support your application, how much each service costs, and how to get started.
Learning Objectives:
• Overview of managed database services available on AWS
• How to combine them for high-performance cost effective architectures
• Learn how to choose between the AWS database services based on the use case
Who Should Attend:
• IT Managers, DBAs, Enterprise and Solution Architects, IT Managers, DBAs, Enterprise and Solution Architects, Devops Engineers and Developers
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). First, we will cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, and much more. We will then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks AWS makes available with VPC and how you can connect this with your offices and current data center footprint.
AWS June 2016 Webinar Series - Amazon Aurora Deep Dive - Optimizing Database ...Amazon Web Services
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is a disruptive technology in the database space, bringing a new architectural model and distributed system techniques to provide far higher performance, availability and durability than previously available using conventional monolithic database techniques. In this session, we will do a deep-dive into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share customer experiences from the field.
Learning Objectives:
Learn how Amazon Aurora delivers 5x the performance and 1/10th the cost
Learn best practices for using Amazon Aurora
An Introduction to AWS, Why Organizations are choosing AWS, What Workloads are appropriate on AWS, and How Organizations are getting started with AWS. Chris will discuss what many AWS public sector customers and partners are doing with and saying about AWS. Lastly, we will talk about various strategies for how customers and partners can get started with AWS.
Amazon Web Services (AWS) es una plataforma de servicios de nube que ofrece potencia de cómputo, almacenamiento de bases de datos, entrega de contenido y otra funcionalidad para ayudar a las empresas a escalar y crecer. Explore cómo millones de clientes aprovechan los productos y soluciones de la nube de AWS para crear aplicaciones sofisticadas y cada vez más flexibles, escalables y fiables.
AWS Data-Driven Insights Learning Series_ANZ Sep 2019 Part 2Amazon Web Services
AWS has been supporting companies across Australia and New Zealand to put their most innovative tools and technologies to work to achieve their business needs and goals. AWS and our ecosystem of partners has helped the likes of CP Mining, IntelliHQ, WesCEF, Oz Minerals, Woodside and many more to modernise their analytics and data architecture in order to successfully generate business value from their data.
This event series aimed to educate customers with a broader understanding of how to build next-gen data lakes and analytics platforms and make connections with AWS.
The AWS Workshop Series Online is a series of live webinars designed for IT professionals who are looking to leverage the AWS Cloud to build and transform their business, are new to the AWS Cloud or looking to further expand their skills and expertise. In this series, we will cover:'Introduction to Cloud Computing with Amazon Web Services'.
By Leveraging AWS Cloud and its services it not only help in reducing the cost but also brings agility and innovation. One of such service BigData provides a paradigm shift by putting smart in everything we do today including smart home, smart city, smart health, smart campus and many more. We will talk about how AWS services can help in reducing the cost and bring agility by leveraging Big Data to bring in innovation to campus.
A Multi-Company Perspective: Enterprise Cloud and PaaSThoughtworks
Tech communities are always abuzz with the potential of Platform as a Service (PaaS). The promised ability to slash delivery times, allowing teams to iterate and release new features faster, has a growing number of organisations looking to implement PaaS in 2016.
In this presentation, industry leaders provide insights from the trenches by letting us enter the world of Cloud applications automation and PaaS. We also get a glimpse into why and how PaaS is widely adopted, as well as appreciate its constructs and challenges.
Further more, you can learn how build your delivery platform around AWS services, CloudFoundry or OpenShift and reflect on how best to create internal cloud and PaaS capabilities to change the way your organisation delivers software.
AWS re:Invent 2016: Driving Innovation with Big Data and IoT (GPSST304)Amazon Web Services
With unforeseen competitive threats and potential market disruptions, enterprises are seeking to innovate for the benefit of their customers. Business transformation in the digital age requires the successful use of new technologies including the cloud, IoT, and Big Data. Attend this session to learn more about how AWS can help organizations innovate faster around IoT and Big Data. We dive into specific opportunities and approaches for managing billions of connected devices and associated big data workloads on the cloud.
Introduction to Cloud Computing with Amazon Web Services and Customer Case StudyAmazon Web Services
Join this workshop to understand the core concepts of “Cloud Computing” and how businesses around the world are running the infrastructure that supports their websites to lower costs, improve time-to-market, and enable rapid scalability matching resource to demands of users. Whether you are an enterprise looking for IT innovation, agility and resiliency or small and medium business who wants to accelerate growth without a big upfront investment in cash or time for technology, the AWS Cloud provides a complete set of services at zero upfront costs which are available with a few clicks and within minutes.
Customers who run SAP on AWS have lowered costs, improved performance, resilience, security, and agility. Application modernization can start with SAP at the core – but it can also start with machine learning, internet of things, big data and analytics. In this session, AWS is presenting and demonstrating use cases for modernizing IT systems that incorporates SAP. Customer Larsen & Toubro Infotech (LTI) shares their innovation agenda and journey to the cloud with AWS.
Harpreet Singh, SAP Solution Architect, Amazon Web Services
AWS Initiate Berlin - Plenary Session - Digitale Transformation im öffentlich...Amazon Web Services
Digitale Transformation im öffentlichen Sektor - Vorteile der AWS Cloud und bewährte Methoden der Migration von Rechenzentren in die Cloud
Sprecher Klaus Buerg, Country Manager AWS Germany
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
10. *Gartner, Magic Quadrant for Cloud Infrastructure as a Service, Worldwide, Leong, Lydia, Petri, Gregor, Gill, Bob, Dorosh, Mike, August 32016
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available
upon request from AWS : http://www.gartner.com/doc/reprints?id=1-2G2O5FC&ct=150519&st=sb
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings
or other designation. Gartner research publications consist of the opinions of Gartner's research
organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of
merchantability or fitness for a particular purpose.
AWS is positioned highest in
execution and furthest in vision within
the Leaders Quadrant
AWS Positioned as a Leader
in the Gartner Magic Quadrant
for Cloud Infrastructure as
a Service, Worldwide
12. “AWS continues to grow at a nearly unbelievable rate, even as
credible and very deep pocketed-competitors have emerged.
That seems to indicate an almost insatiable demand from
businesses that want to offload computing and storage tasks to third
party providers rather than build more data centers.”
Where Are We In The Cloud’s Evolution?
Fortune, 27 October 2016
13. New Normal Control Over
Your Own Destiny
In 2014 In 2015
Where Are We In The Cloud’s Evolution?
14. S U P E R P O W E R S
With AWS, It Can Feel Like You Have Been Given
19. The Ability to Understand Your Customers And
Business Better Through Analytics
Real-time
streaming
data
Data
Warehouse
Hadoop, Spark,
HBase, Hive,
Presto, Mahout,
Pig, Zeppelin
Elasticsearch Business
Intelligence
Machine
Learning
Amazon
Kinesis
Amazon
Redshift
Amazon
EMR
Amazon
Elasticsearch
Amazon
QuickSight
Amazon
Machine Learning
22. Artificial Intelligence on AWS
P2 Amazon
Machine Learning
Deep Learning
AMI and template
Investment in
MXNet
23. Real Machine Learning Happening On AWS
Computer Vision APIs
Detect Online
Payment Fraud
Computer Vision For
Crowd Sourced Maps
Computer Vision For
Autonomous Driving
ML At Large Scale
Luxury Real Estate
Purchase Predictions Recommendation Engine Forecast Customer Traffic
Predictive Analytics
On Sports Plays Image Recognition Search Zestimate
(using Apache Spark)
Insurance
24. Artificial Intelligence & Deep Learning At Amazon
Thousands Of Employees Across The Company Focused on AI
Discovery &
Search
Fulfilment &
Logistics
Add ML-powered
features to existing products
Echo &
Alexa
32. Migrating Databases To AWS
14,000+
databases migrated
Migrate between
on-prem and AWS
Migrate between
databases
Automated schema
conversion
Data replication for
zero downtime migrations
33. Amazon Aurora: Speed And Availability Of
Commercial Databases, With Cost-Effectiveness
Of Open Source
Up To 5x Performance
Of High-end MySQL
Highly Available
and Durable
MySQL
Compatible
1/10th The Cost Of
Commercial Grade Databases
Fastest Growing
AWS Service, Ever
38. IoT Journey Along The Amazon Web Service
Scaling to millions of devices and orchestration
INNOVATION AND DEVELOPMENT JAN 19, 2017
39. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 39
* This includes consumer and professional audio,
headphones and music instruments.
Our Business Ambition
BECOME THE WORLD’S
#1 MUSIC LIFESTYLE COMPANY
Grow profitably to 50% of the music market*
Our Marketing Challenge
EXECUTE A MULTI-BRAND
STRATEGY ACROSS THE
CONSUMER DECISION JOURNEY
* This includes consumer and professional audio,
headphones and music instruments.
40. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 40
OUR BRANDS ARE EVERYWHERE MUSIC IS BEING
CREATED, PERFORMED OR EXPERIENCED
Performing music Creating music Experiencing music
41. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION
We are Gibson Innovations and we love music. We are headquartered in Hong Kong.
We are part of Gibson Brands, headquartered in Nashville, Tennessee.
We distribute our audio innovations across our brands in close cooperation with our retail
partners.
HEADPHONES &
BLUETOOTH SPEAKERS
Gibson Innovations: experiencing music
4
42. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 42
43. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 43
New Product Innovation (Zero to Millions)
Business Case Simulation
IoT Security
44. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION
Business Case Simulation – Infrastructure Cost
IPCam Business Nature
• Connected and use anywhere
• Different usage behavior day-by-day,
region-by-region, user-by-user
• System resources scalability
• Long-tail software maintenance
7
*Group data only. User ID, MAC and IP addresses are not recorded.
45. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 45
The Proof-Of-Concept (PoC) Journey – Before, After and After…
• Cost Optimization with lower
initial investment
• Fully-managed scalability
• Infrastructure cost grows
elastically with user space
1st gen 2nd gen
Original
• Further Cost Optimization using serverless,
faster development time, less development cost,
and easy deployment
• Well and easily-managed scalability
• Quick and easy software maintenance with
supports of AWS managed services
• Not easy to deploy in multi-regions
worldwide
• High infrastructure cost & initial
Investment
• Complex software maintenance
cover multi-vendors
Linked with multiple vendors at
network infrastructure
Basic AWS managed services
covered EC2, VPC and S3 – cost
down 15-32% from original
Serverless approach – cost
down 52-75% from original
46. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 46
IoT Security with AWS
A highly secure, cost-effective, and easy-to-maintain solution to IoT security
Client Certificate Device Certificate
KMS Managed Key
IAM Access Key
TLS TLS
AWS IoT
managed X.509
at zero cost
Congnito federated ID
with email & phone
signup verification
S3 build-in AES256
encryption without
additional cost
KMS (highly scalable) to create and
control data keys (CDK) per
combination of user-client-device
IAM with IoT policies to authorize
devices/ mobile clients to perform
IoT operations
Cognito Identity Token
47. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 47
Migration (Millions to Millions)
48. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 48
• Deliver services using HTTPS secured RESTful APIs
• The key API endpoints require additional secure
communication mechanisms
Arcus Connected Product Firmware Upgrade Platform
49. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 49
Arcus Ecosystem Highlights
• Over 300 product models (SKUs)
• Over 1.7M registered devices
• Average 664K connected devices per month
• Average 4.3M requests/month
• Average 1.1TB firmware
downloads/month
50. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 50
Arcus Migration Roadmap
Distributed High Availability DBaaS
Model
(Google+CloudFlare+Compose+AWS)
AWS
Architecture
Philips Connected
Product Platform • Suboptimal database performance
due to network latency
• Anyone can potentially gain access
to the database over the Internet
• Self-hosted Load Balancer becomes
the single point of failure
• System monitoring all over the place
• Minimal network latency between
the database and the application
servers
• Database is isolated from
external networks
• High Availability Load Balancing
• Scalable system architecture
• Consolidated system monitoring
over CloudWatch
51. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 51
• Infrastructure Costs reduced by 65%
• Average Process Time per API Request reduced by 90%
• Improved Data Security
52. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 52
Technology Adoption Life Cycle
Production
(Majority)
Prototyping
(Early Adopters)
Evaluation
(Innovators)
Route 53 VPC
S3 CloudFront
EC2 Elastic Load
Balancing
QuickSight
Mobile
Analytics
SESSNS CloudWatch
RDS Redshift
Lambda
DynamoDB
AWS KMS
IAM
Cognito
IoT
API Gateway
Rekognition
& AI
Machine
Learning
Lex
Polly
Greengrass
53. KENNY KWAN | INNOVATION AND DEVELOPMENT | JAN 19, 2017 | AWS PRESENTATION 53
•No matter in-house or outsource development model, hire your
AWS certified architect(s)
•Keep playing and learning the latest services
•Attend Re:Invent @ Vegas
58. Return the Feedback to receive AWS USD25 or USD100 Credits!
An email with the feedback form URL will be sent to you at 2:30pm, please
kindly complete and submit the feedback form by 8pm to receive
AWS USD25 credits (applied to all AWS services) or
AWS USD100 credits (limited to only new AWS services)
25
USD$
100
USD$
(All AWS Services) (Only New AWS Services)
Applicable to:
AWS XRAY
AMAZON ATHENA
AMAZON POLLY
AMAZON REKOGNITION
Other quirky features: wake (will have happened the night before in James’ event), Tatonka, Broomball tournament.
Nuna Health provides analytics-based healthcare insights to government agencies. Using AWS, Nuna Health has a powerful analytics platform that complies with HIPAA, ITAR, and other patient-privacy and insurance regulations, enabling it to help government agencies like the Centers for Medicare and Medicaid Services find patterns in vast amounts of data.
Robinhood, maker of a no-fee, mobile brokerage app that is disrupting the brokerage industry by democratizing stock trading, used AWS to create its massively scalable trading app with strong built-in security and compliance features that supported hundreds of thousands of users at launch.
Dollar Shave Club, a grooming-product-subscription service that is disrupting the shaving industry by neutralizing the distribution advantage of big name brands and offering cheaper, better razors online, launched all-in on AWS. The company has since added more than 3.2 million subscribers and is on pace to top $200 million in sales in 2016.
Intercom, a startup helping businesses talk to their customers: with services such as website chat, targeted marketing campaigns and customer support. Headcount has doubled in the past year, to 250, while revenue has quadrupled into the tens of millions of dollars.
OTHERS
• Pinterest
• AirBnB
• Stripe
• Slack
• Domo
• Periscope
• Oil & Gas: Shell, BP, Hess
• Healthcare: Merck, Pfizer, J&J, MNS
• Technology: Netflix, Samsung, Adobe
• Manufacturing: GE, Phillips, Schneider Electric
• Financial Services: Cap One, Finra, Intuit, Commonwealth Bank Of Australia
• Insurance: Liberty Mutual, Aviva, <more coming>
• CPG: <pending>
• Retail: ShopDirect, Ocado, Best Buy
• Media: Financial Times, Dow Jones, Newscorp, Conde Nast
UPDATE FOR REINVENT:
more than 2,300 government agencies,
7,000 education institutions
more than 22,000 nonprofit organizations
55 premiere,
Thousands of SIs
GSIs: Accenture, Cognizant, Booz Allen, Infosys, Wipro;
Born in Cloud: 2nd Watch, Bulletproof, Dedalus, Cloudreach, Slalom, InfoReliance and Smartronics
And if you read the report, it states: “Many times the aggregate size of all other providers in the market”
Talk track: Most of these old companies, like MSFT, are contracting rather than growing with the change in the market.
Ok. For the footnote, can you change it to "Last Reported Quarterly Revenue YoY Growth"
The cloud has come a long way.
Reporter mused after our Q3 earnings that “AWS continues to grow at a nearly unbelievable rate, even as credible and very deep pocketed-competitors have emerge. That seems to indicate an almost insatiable demand from businesses that want to offload computing and storage tasks to third party providers rather than build more data centers”
Talked last year about what was really going on: that the cloud gave builders freedom and control of their own destiny, which is very motivating.
We talked about the freedom it gave builders
But as we continue to talk to builders, we’ve realized it’s more than just owning your own destiny.
Because the cloud and AWS gives builders so many more capabilities or tools than builders have had on premises, the cloud feels like it arms builders with super powers.
Kind of like the super heroes we watched on TV as kids (and now in movies) and kind of like what the secret organizations hand James Bond or Tom Cruise in Mission Impossible before they go try to save the world.
In tech and builders hands, these tools give them super powers to change their business and customer experiences and make the world a better place.
So if the cloud and AWS give builders super powers, what are some of these super powers.
I’ll share a few of these today, the first is…
Single biggest reason companies are moving to the cloud is for agility and speed.
The ability to be able to get from idea to implementation several orders of magnitude faster in the cloud and AWS than on-prem
There are two primary reasons:
1/ Unlike on-premsies where it typically takes 10 to 12 weeks to get a server and try and experiment, in the cloud you can spin up thousands of servers in minutes.
2/ Even more importantly, because AWS has 70+ servers and your disposal, builders don’t have to spend the time building and deploying all the infrastructure software services. It can use an unmatched collection of capabilities from AWS to either migrate existing apps to the cloud or invent altogether new apps or businesses faster than ever before.
38 AZs in 14 regions
68 POPs
Vs MSFT: 30 “regions” (really just DCs); use Akamai for CDN
MP: AWS customers use over 300 million hours a month of Amazon EC2 for AWS Marketplace products. Overall, the AWS Marketplace offers 35 categories, and more than 3,500 software listings from more than 1,100 ISVs. 112% growth since last year.
1/ robust tech infra platform with 70+ services;
2/ much more functionality, by large margin, than any other provider;
3/ won't go through all of this in detail, but at a high level…
4/ Regions/AZs/POPs;
5/ Building blocks;
6/ Security + Compliance;
7/ App Services;
8/ Analytics;
9/ IoT;
10/ Mobile Services;
11/ Migration services;
12 Hybrid capabilities;
13/ Enterprise Apps;
14/ People Services; 15/ MP
1000 if we ship 70% of whats in the roadmap in December
One company that has been leveraging the breadth and depth of the AWS cloud is Enel. Here to tell you more is Fabio…
Pronunciation: Fabio Ver-o-nay-zay
Supercell: process 45B in game events per day to obtain key analytics and feed real time dashboards and applications
Phillips HealthSuite: use AWS to securely cpature, analyze, and store 15PB+ of patient data gathered from 390M imaging studies, medical records, and patient inputs;
NTT Docomo: 6PB DW
Xray vision also gives you ability to see meaning inside your data. For example, machines and services want to know these things about the picture. Not just the meta data, but to be able to see inside the data and get meaning from it.
Intro: we've released several pieces already
Transition: And, we see significant amounts of AI and ML workloads happening on AWS
AON, a leading insurance and capital advising firm, used AWS to lower its calculation and reporting time for financial simulations to 10 minutes, down from 10 days.
Adimap, a financial data-science company, uses AWS Machine learning and AWS big-data products to provide customers information about ad revenue, spend, app financials, and job salaries. Using AWS allows Adimap to reduce time to market for new products—time to build working prototypes has gone from weeks to hours.
BuildFax, which collects and stores building and permit information from government entities across the U.S., uses Amazon Machine Learning to build predictive models on the age and condition of roofs that help its customers establish policies and premiums in weeks instead of months while efficiently managing data on hundreds of millions of properties.
Fraud.net, a crowdsourced fraud-prevention platform uses Amazon Machine Learning and other AWS products to run more than 20 machine-learning models, saving about $1 million each week over its previous on-premises solution.
Upserve offers a cloud-based management platform to restaurants and uses Amazon Machine Learning for tools that restaurant owners can use to predict how full their establishments will be on particular evenings, which in turn helps them control food and labor costs.
Zillow used AWS products, including Redshift and Amazon S3 along with products such as Apache Spark, Redis, and Python to create a machine learning platform for Zillow Zestimate, a service that gives accurate estimates on home values.
Amazon has rich heritage of AI across the company. In the beginning of our retail business we made product recs, optimize pick paths at fulfilment center, xray products (see lyrics), think about alexa and echo devices. People wanted us to expose more and we are going to expose more. We perceive that people will want to build this into their apps. Introducing a family of services: amazon AI
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14,000 databases migrated with DMS since January 2016
Customers have asked about postgres as a very popular alternative, even closer semantically to Oracle
Pronunciation: Steve Ran-ditch
Andy Q: “should we consider sharing that this is now over a $150M revenue run rate business in less than a year and a half? that's not valuation, that's revenue run rate...there are businesses valued at over $1B on that revenue run rate…"
one of the cool things about being able to shape shift is you can be any shape you like. Relate to computing, some where you want to run all in the cloud or some that have to stay on premises
1000 if we ship 70% of whats in the roadmap in December
One company that has been leveraging the breadth and depth of the AWS cloud is Enel. Here to tell you more is Fabio…
Pronunciation: Fabio Ver-o-nay-zay
It is my great honor to share our AWS journey with all of you.
Has anyone been Amazon River? National Geographic program – our journey is like travelling along the river with all kinds of excitement which turns out to be a great enjoyment journey and positive to all of us.
Before we start, does anyone know what we are doing?
We love music.
Business ambition
Multi brand strategy
Music ecosystem
GI is a mass market consumer product company that create lifestyle entertainment products. With HQ in HK, I have a very small team particular looking at the AWS service and how to apply to our product development.
“Innovation” is not just a part of our company name, it is embedded into our daily life at work as well.
New product development/innovation is the initial step before the Product Life Cycle can be examined, and plays a vital role in the manufacturing process. To prevent loss of profits or liquidation for businesses in the long term, new products have to be created to replace the old products.
In the IoT NPI cycle, 2 areas I think are critical and AWS could really help us on those area.
1st gen – extreme low cost study
2nd gen – bring up the concept model in weeks and spend the rest of time on subscription model tuning on video traffic, storage, message notification frequency and overall API bandwidth usage
Invention and failure as inseparable twins
Talk about the future. The first 10 years in the cloud has led to ungodly amount of invention and change, and the next 10 will be even more. Think about how much time people wasted in the first 10 years arguing about the cloud. The next generation and the next 10 years is going to take all that energy and think about changing customer experience forever. Today we had 13 new announcements. Over the year it will be ~1000 new features and services, which means that every day as a builder you can wake up and use all this new technology, and you only need to pay for what you actually use. This changes what is possible. Whether you're at a startup and building your business, or an enterprise figuring out how to evolve.
Option to also weave in the invention/failure point: Anyone who is an innovator knows that innovation and failure are inseparable twins, so really need to innovate at a high pace to figure out what works. Have to be working on your next failure
Invention and failure as inseparable twins
Talk about the future. The first 10 years in the cloud has led to ungodly amount of invention and change, and the next 10 will be even more. Think about how much time people wasted in the first 10 years arguing about the cloud. The next generation and the next 10 years is going to take all that energy and think about changing customer experience forever. Today we had 13 new announcements. Over the year it will be ~1000 new features and services, which means that every day as a builder you can wake up and use all this new technology, and you only need to pay for what you actually use. This changes what is possible. Whether you're at a startup and building your business, or an enterprise figuring out how to evolve.
Option to also weave in the invention/failure point: Anyone who is an innovator knows that innovation and failure are inseparable twins, so really need to innovate at a high pace to figure out what works. Have to be working on your next failure