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.
AWS re:Invent is an annual global conference of the Amazon Web Services community held in Las Vegas. In 2017, we held 1000+ breakout sessions and attracted over 40,000 attendees. The event offers expanded opportunities to learn about the latest AWS releases, use cases and business benefits, not to mention diving deep into hot topics and meeting with our subject matter experts.
Missed it? Don’t worry, we are bringing AWS re:Invent to Hong Kong on Jan 18, 2018. Packed in a day, AWS re:Invent 2017 Recap Hong Kong will showcase new releases announced at re:Invent 2017 on Serverless & Container, DevOps & Mobile, Artificial Intelligence & Machine Learning and more. Local customers will also be invited to share their re:Invent experience and success stories with AWS.
Discover the latest services and features from Amazon Web Services and learn how to integrate them into your applications
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.
Steve Shirkey, Solutions Architect, ASEAN, AWS
With the launch of several new Machine Learning (ML) services on AWS, now is your chance to learn how to quickly apply ML to solve real-world business problems, no prior ML experience necessary. During this session, you will learn about vision services to analyze your images and video for facial comparison, object detection and detecting text (Amazon Rekognition and Amazon Rekognition Video), building conversational interfaces for chatbots (Amazon Lex), and core language services for converting audio to text (Amazon Transcribe), converting text to speech (Amazon Polly), identifying topics and themes in text (Amazon Comprehend) and translating between two languages (Amazon Translate).
AWS re:Invent is an annual global conference of the Amazon Web Services community held in Las Vegas. In 2017, we held 1000+ breakout sessions and attracted over 40,000 attendees. The event offers expanded opportunities to learn about the latest AWS releases, use cases and business benefits, not to mention diving deep into hot topics and meeting with our subject matter experts.
Missed it? Don’t worry, we are bringing AWS re:Invent to Hong Kong on Jan 18, 2018. Packed in a day, AWS re:Invent 2017 Recap Hong Kong will showcase new releases announced at re:Invent 2017 on Serverless & Container, DevOps & Mobile, Artificial Intelligence & Machine Learning and more. Local customers will also be invited to share their re:Invent experience and success stories with AWS.
Hear how local customers have successfully built and migrated their applications to AWS and learn their tips and tricks
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.
Learning Objectives:
- Learn AWS architectural best practices
- Measure your architecture against pillars of security, reliability, cost, performance, and operations
- Build a plan to remediate and improve your architecture
AWS re:Invent is an annual global conference of the Amazon Web Services community held in Las Vegas. In 2017, we held 1000+ breakout sessions and attracted over 40,000 attendees. The event offers expanded opportunities to learn about the latest AWS releases, use cases and business benefits, not to mention diving deep into hot topics and meeting with our subject matter experts.
Missed it? Don’t worry, we are bringing AWS re:Invent to Hong Kong on Jan 18, 2018. Packed in a day, AWS re:Invent 2017 Recap Hong Kong will showcase new releases announced at re:Invent 2017 on Serverless & Container, DevOps & Mobile, Artificial Intelligence & Machine Learning and more. Local customers will also be invited to share their re:Invent experience and success stories with AWS.
Discover the latest services and features from Amazon Web Services and learn how to integrate them into your applications
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.
Steve Shirkey, Solutions Architect, ASEAN, AWS
With the launch of several new Machine Learning (ML) services on AWS, now is your chance to learn how to quickly apply ML to solve real-world business problems, no prior ML experience necessary. During this session, you will learn about vision services to analyze your images and video for facial comparison, object detection and detecting text (Amazon Rekognition and Amazon Rekognition Video), building conversational interfaces for chatbots (Amazon Lex), and core language services for converting audio to text (Amazon Transcribe), converting text to speech (Amazon Polly), identifying topics and themes in text (Amazon Comprehend) and translating between two languages (Amazon Translate).
AWS re:Invent is an annual global conference of the Amazon Web Services community held in Las Vegas. In 2017, we held 1000+ breakout sessions and attracted over 40,000 attendees. The event offers expanded opportunities to learn about the latest AWS releases, use cases and business benefits, not to mention diving deep into hot topics and meeting with our subject matter experts.
Missed it? Don’t worry, we are bringing AWS re:Invent to Hong Kong on Jan 18, 2018. Packed in a day, AWS re:Invent 2017 Recap Hong Kong will showcase new releases announced at re:Invent 2017 on Serverless & Container, DevOps & Mobile, Artificial Intelligence & Machine Learning and more. Local customers will also be invited to share their re:Invent experience and success stories with AWS.
Hear how local customers have successfully built and migrated their applications to AWS and learn their tips and tricks
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.
Learning Objectives:
- Learn AWS architectural best practices
- Measure your architecture against pillars of security, reliability, cost, performance, and operations
- Build a plan to remediate and improve your architecture
AWS Summit Singapore - Managing a Database Migration Project | Best PracticesAmazon Web Services
Blair Layton, Business Development Manager - Database, APAC, AWS
The AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT) help lower costs, risks and the duration of your database migration and data replication projects but, how do you use them to maximum effect? This session will discuss some of the best practices that AWS has learned through our own Professional Services engagements and from customers who have shared their experience.
Running Lean Architectures: How to Optimize for Cost Efficiency Amazon Web Services
Whether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We’ll cover how you can effectively combine EC2 On-Demand, Reserved, and Spot instances to handle different use cases, leveraging auto scaling to match capacity to workload, choosing the most optimal instance type through load testing, taking advantage of multi-AZ support, and using CloudWatch to monitor usage and automatically shut off resources when not in use. We'll discuss taking advantage of tiered storage and caching, offloading content to Amazon CloudFront to reduce back-end load, and getting rid of your back end entirely, by leveraging AWS high-level services. We will also showcase simple tools to help track and manage costs, including the AWS Cost Explorer, Billing Alerts, and Trusted Advisor. This session will be your pocket guide for running cost effectively in the Amazon cloud.
Introduction to Artificial Intelligence and Machine Learning services at AWS ...Amazon Web Services
AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and text-to-speech (TTS) with Amazon Polly, visual search and image recognition with Amazon Rekognition, and developer-focused machine learning with Amazon Machine Learning. In this talk you will learn about these services and see demos of their capabilities
AWS Speaker: Denis V. Batalov, Solutions Architect - Amazon Web Services
Customer Speaker: Tom Wells - Synthesis Software Technologies
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.
Antoine Genereux takes us on a detailed overview of the Database solutions available on the AWS Cloud, addressing the needs and requirements of customers at all levels. He also discusses Business Intelligence and Analytics solutions.
In this session, we show you how to understand what data you have, how to drive insights, and how to make predictions using purpose-built AWS services. Learn about the common pitfalls of building data lakes and discover how to successfully drive analytics and insights from your data. Also learn how services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon ML services work together to build a successful data lake for various roles, including data scientists and business users.
Eugene Kim takes us on a detailed overview of the AWS Cloud, and how SAP ERP workloads can be implemented. He discusses instance sizing in terms of SAPS, High Availability and Disaster Recovery scenarios. SAP Hana and certified solutions are presented as well.
Unlocking New Todays: Artificial Intelligence and Data Platforms on AWSAmazon Web Services
In this session, you will learn about our strategy for driving machine learning innovation for our customers and learn what’s new from AWS in the machine learning space. We will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
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.
AWS re:Invent 2016: Choosing the Right Partner for Your AWS Journey (ENT310)Amazon Web Services
You have decided to shut down a data center and move your applications to AWS, and you know you’ll need some help. Whether you need just tools, boots on the ground to move those applications, or someone to teach you how, you can find help among the group of elite partners that the AWS Partner Network has assembled to assist customers with meeting their business objectives. In this session, you will discover the variety of services our partners provide, learn how to select the appropriate partner for your needs, and hear about the experiences of customers who used partners to accomplish big objectives on AWS.
AWS Summit Singapore - Managing a Database Migration Project | Best PracticesAmazon Web Services
Blair Layton, Business Development Manager - Database, APAC, AWS
The AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT) help lower costs, risks and the duration of your database migration and data replication projects but, how do you use them to maximum effect? This session will discuss some of the best practices that AWS has learned through our own Professional Services engagements and from customers who have shared their experience.
Running Lean Architectures: How to Optimize for Cost Efficiency Amazon Web Services
Whether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We’ll cover how you can effectively combine EC2 On-Demand, Reserved, and Spot instances to handle different use cases, leveraging auto scaling to match capacity to workload, choosing the most optimal instance type through load testing, taking advantage of multi-AZ support, and using CloudWatch to monitor usage and automatically shut off resources when not in use. We'll discuss taking advantage of tiered storage and caching, offloading content to Amazon CloudFront to reduce back-end load, and getting rid of your back end entirely, by leveraging AWS high-level services. We will also showcase simple tools to help track and manage costs, including the AWS Cost Explorer, Billing Alerts, and Trusted Advisor. This session will be your pocket guide for running cost effectively in the Amazon cloud.
Introduction to Artificial Intelligence and Machine Learning services at AWS ...Amazon Web Services
AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and text-to-speech (TTS) with Amazon Polly, visual search and image recognition with Amazon Rekognition, and developer-focused machine learning with Amazon Machine Learning. In this talk you will learn about these services and see demos of their capabilities
AWS Speaker: Denis V. Batalov, Solutions Architect - Amazon Web Services
Customer Speaker: Tom Wells - Synthesis Software Technologies
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.
Antoine Genereux takes us on a detailed overview of the Database solutions available on the AWS Cloud, addressing the needs and requirements of customers at all levels. He also discusses Business Intelligence and Analytics solutions.
In this session, we show you how to understand what data you have, how to drive insights, and how to make predictions using purpose-built AWS services. Learn about the common pitfalls of building data lakes and discover how to successfully drive analytics and insights from your data. Also learn how services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon ML services work together to build a successful data lake for various roles, including data scientists and business users.
Eugene Kim takes us on a detailed overview of the AWS Cloud, and how SAP ERP workloads can be implemented. He discusses instance sizing in terms of SAPS, High Availability and Disaster Recovery scenarios. SAP Hana and certified solutions are presented as well.
Unlocking New Todays: Artificial Intelligence and Data Platforms on AWSAmazon Web Services
In this session, you will learn about our strategy for driving machine learning innovation for our customers and learn what’s new from AWS in the machine learning space. We will discuss and demonstrate the latest new services for ML on AWS: Amazon SageMaker, AWS DeepLens, Amazon Rekogntion Video, Amazon Translate, Amazon Transcribe, and Amazon Comprehend. Attend this session to understand how to make the most of machine learning in the cloud.
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.
AWS re:Invent 2016: Choosing the Right Partner for Your AWS Journey (ENT310)Amazon Web Services
You have decided to shut down a data center and move your applications to AWS, and you know you’ll need some help. Whether you need just tools, boots on the ground to move those applications, or someone to teach you how, you can find help among the group of elite partners that the AWS Partner Network has assembled to assist customers with meeting their business objectives. In this session, you will discover the variety of services our partners provide, learn how to select the appropriate partner for your needs, and hear about the experiences of customers who used partners to accomplish big objectives on AWS.
AWS Summit Singapore 2019 | Opening Keynote with Peter DeSantisAWS Summits
Speaker: Peter DeSantis, Vice President, AWS Global Infrastructure and Customer Support.
AWS Customers:
Certis – Chua Chwee Koh, Chief Group Technology & Operations
Traveloka – Sergei Shvetsov, Head of Engineering
Innovations and trends in Cloud. Connectfest Porto 2019javier ramirez
The accelerated pace of innovation in cloud computing is one of its major benefits, but also one of its challenges. New features and services are released every other day, making new technology businesses possible and old ones more efficient.
Understanding the innovations and the "state of the union" of the cloud helps builders to leverage new services, tools and ideas.
The move to the cloud is unlike any other technology shift in our lifetime. Don’t miss this opportunity to learn how to use the cloud for complex, innovative, and mission-critical projects.
Speakers:
- Helen Souness, CEO, Royal Melbourne Institute of Technology (RMIT) Online
- Dr. Denis Bauer, Team Leader, Transformational Bioinformatics, Commonwealth Scientific and Industrial Research Organisation (CSIRO)
- Kevin Jeffrey, Chief Data Officer, IP Australia
- Glenn Gore, Chief Architect, AWS
- Brad Coughlan, Country Manager, ANZ Public Sector, AWS
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing, attend this webinar. In this recorded webinar, we answer the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar: http://youtu.be/ybcV0sJ_T_I
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing.
In the webinar based on these slides, we answered the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar recording on YouTube here: http://youtu.be/QROD20r6-sQ
AWS reInvent 2023 recaps from Chicago AWS user groupAWS Chicago
Chicago AWS Solutions Architect Scott Hewitt recaps the non-GenAI updates from AWS re:Invent 2023. Updates range from storage, networking, compute and developer tools.
Similar to AWS Summit Singapore Opening Keynote (20)
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.
4. More than inputs / outputs
More than web content
Services and API-based
APPLICATION FOUNDATIONS
The “Application” is continuously evolving
APPLICATION CONTEXT
All data is relevant
Connected everything
Programmable everything
APPLICATION INTEGRATION
Responsive design
Smart connectivity
Notifications / push for all apps
5. APPLICATION CONTEXT
All data is relevant
Connected everything
Programmable everything
APPLICATION FOUNDATIONS
CONTINUOUSLY DELIVERED
FAST TIME TO MARKET
FAST FEEDBACK
The “Application” is continuously evolving
APPLICATION INTEGRATION
Responsive design
Smart connectivity
Notifications / push for all apps
6. APPLICATION INTEGRATION
Responsive design
Smart connectivity
Notifications / push for all apps
The “Application” is continuously evolving
APPLICATION FOUNDATIONS
CONTINUOUSLY DELIVERED
FAST TIME TO MARKET
FAST FEEDBACK
APPLICATION CONTEXT
DEEP USER EXPERIENCES
FULLY-AWARE
ALWAYS ON
7. APPLICATION INTEGRATION
CUSTOMER SATISFACTION
CUSTOMER RETENTION
DIFFERENTIATION
APPLICATION CONTEXT
DEEP USER EXPERIENCES
FULLY-AWARE
ALWAYS ON
The “Application” is continuously evolving
APPLICATION FOUNDATIONS
CONTINUOUSLY DELIVERED
FAST TIME TO MARKET
FAST FEEDBACK
8. APPLICATION CONTEXT
DEEP USER EXPERIENCES
FULLY-AWARE
ALWAYS ON
APPLICATION FOUNDATIONS
CONTINUOUSLY DELIVERED
FAST TTM
FAST FEEDBACK
APPLICATION INTEGRATION
CUSTOMER SATISFACTION
CUSTOMER RETENTION
DIFFERENTIATION
26. The Enterprise Runs on Cloud
RE-HOST RE-PROVISION RE-ARCHITECT
“Lift and Shift”
AWS Migration Hub
VMware on AWS
QUICK WINS
RE-PLATFORM
27. The Enterprise Runs on Cloud
RE-HOST RE-PROVISION RE-ARCHITECT
“Lift and Shift”
AWS Migration Hub
VMware on AWS
QUICK WINS
RE-PLATFORM
“Lift and Reshape”
AWS Database Migration Service
AWS Marketplace
28. The Enterprise Runs on Cloud
RE-HOST RE-PROVISION RE-ARCHITECT
“Lift and Shift”
AWS Migration Hub
VMware on AWS
QUICK WINS
RE-PLATFORM
“Lift and Reshape”
AWS Database Migration Service
AWS Marketplace
EASY OPTIMIZATIONS
29. The Enterprise Runs on Cloud
RE-HOST RE-PROVISION RE-ARCHITECT
“Lift and Shift”
AWS Migration Hub
VMware on AWS
”Pick and Choose”
Fully-managed services
SaaS
RE-PLATFORM
“Lift and Reshape”
AWS Database Migration Service
AWS Marketplace
QUICK WINS EASY OPTIMIZATIONS
30. The Enterprise Runs on Cloud
RE-HOST RE-PROVISION RE-ARCHITECT
“Lift and Shift”
AWS Migration Hub
VMware on AWS
”Pick and Choose”
Fully-managed services
SaaS
CLOUD BACK OFFICE
RE-PLATFORM
“Lift and Reshape”
AWS Database Migration Service
AWS Marketplace
QUICK WINS EASY OPTIMIZATIONS
31. The Enterprise Runs on Cloud
RE-HOST RE-PROVISION RE-ARCHITECT
“Lift and Shift”
AWS Migration Hub
VMware on AWS
”Pick and Choose”
Fully-managed services
SaaS
“Rewrite and decouple”
Microservices
Serverless
CLOUD BACK OFFICE
RE-PLATFORM
“Lift and Reshape”
AWS Database Migration Service
AWS Marketplace
QUICK WINS EASY OPTIMIZATIONS
32. RE-HOST RE-PROVISION RE-ARCHITECT
“Lift and Shift”
AWS Migration Hub
VMware on AWS
”Pick and Choose”
Fully-managed services
SaaS
“Rewrite and decouple”
Microservices
Serverless
CLOUD BACK OFFICE MODERNIZE LEGACY
RE-PLATFORM
“Lift and Reshape”
AWS Database Migration Service
AWS Marketplace
The Enterprise Runs on Cloud
QUICK WINS EASY OPTIMIZATIONS
35. LAUNCHED
MARCH 2018
LAUNCHED
MARCH 2018
LAUNCHED
MARCH 2018
Services launched in Singapore in the last 12 months
Amazon EC2
M 5 I N S T A N C E S
C 5 I N S T A N C E S
G 3 I N S T A N C E S
P 2 I N S T A N C E S
R 4 I N S T A N C E S
E C 2 E l a s t i c G P U s n o w
s u p p o r t O p e n G L 4 . 2
Amazon Aurora with
PostgreSQL
Amazon Aurora with
MySQL
AWS Snowball
AWS Server Migration
Service
AWS Elemental
MediaTailor
Amazon AppStream
2.0
AWS Step Functions
AWS Deep
Learning AMIs
AWS OpsWorks
Amazon Redshift
Spectrum
Amazon ElastiCache
for Redis
AWS CloudHSM
Amazon Glacier
Amazon Cognito
AWS Batch
Amazon Quicksight
AWS CodeStar
AWS CodeCommit
AWS CodeBuildAmazon Athena Amazon Lightsail
Amazon DynamoDB
Accelerator (DAX)
S D K s f o r P y t h o n a n d . N E T
S u p p o r t f o r T 2 I n s t a n c e s
Amazon RDS for SQL Server
H i g h A v a i l a b i l i t y s u p p o r t AWS Direct Connect
L i n k A g g r e g a t i o n
G r o u p e n a b l e d
A m a z o n R D S
M 4 i n s t a n c e s i n A W S G o v C l o u d f o r
M y S Q L , M a r i a D B , P o s t g r e S Q L , a n d
O r a c l e e n g i n e s
36. COMPUTE AND STORAGE FOR HYBRID / EDGE WORKLOADS
A W S
S n o w b a l l E d g e
AVAILABLE
TODAY!
• Petabyte-scale data transport device
• On-board storage and compute capabilities
• Capture and pre-process data in remote locations
• Securely transfer large datasets to the AWS Cloud
37. AVAILABLE
TODAY!
AW S S t orage
Gatew ay
TAPE GATEWAY NOW AVAILABLE IN SINGAPORE
• Hybrid virtual tape library: Amazon Glacier and
Amazon S3 for storage with local caching
• Supports leading backup applications
• Data encrypted and compressed in-transit and at-rest
• Virtually unlimited capacity archive
38. 2 1 S T C E N T U R Y A R C H I T E C T U R E S
re:Imagined
39. AWS
Well-Architected
Framework
O P E R A T I O N A L
E X C E L L E N C E S E C U R I T Y R E L I A B I L I T Y
P E R F O R M A N C E
E F F I C I E N C Y
C O S T
O P T I M I Z A T I O N
43. Dance like no one is watching.
Encrypt like everyone is.
44. Load
Balancer
ENCRYPTED IN
TRANSIT…
Amazon Redshift
Amazon Glacier
RDS
S3
EBS
…AND AT REST
Fully managed
keys in KMS
Y o u r K M I
Imported keys
Fully
auditable
E B S
A W S
C l o u d T r a i l
Restricted
access
Ubiquitous Encryption
WELL-
ARCHITECTED
SECURITY
E F S
53. Machine Learning at Amazon: a long heritage
Personalized
recommendations
Inventing entirely
new customer
experiences
Fulfillment
automation
/ inventory
management
Drones Voice driven
interactions
54. RETAIL
Demand Forecasting
Vendor Lead Time Prediction
Pricing
Packaging
Substitute Prediction
CUSTOMERS
Recommendation
Product Search
Product Ads
Shopping Advice
Customer Problem Detection
SELLER
Fraud Detection
Predictive Help
Seller Search & Crawling
CATALOGUE
Browse-Node
Classification
Meta-data Validation
Review Analysis
Product Matching
TEXT
In-Book Search
Named-entity Extraction
Summarization/Xray
Plagiarism Detection
IMAGES
Visual Search
Product Image
Enhancement
Brand Tracking
THOUSANDS OF EMPLOYEES ACROSS THE COMPANY FOCUSED ON AI
Machine Learning at Amazon.com
55. COUNTERFEIT GOODS DETECTION
CUSTOMER ADOPTION MODELS
ITEM CLASSIFICATION
SALES LEAD RANKING
SEARCH INTENT
DEMAND ESTIMATION
CUSTOMER SUPPORT
DISPLAY ADS
The spark for hundreds of new smart
applications within Amazon.com
58. FRAMEWORKS AND INTERFACES
AI for data scientists
KERAS
Frameworks Interfaces
APPLICATION SERVICES
AI for everyone P O L L Y R E K O G N I T I O N C O M P R E H E N DL E X R E K O G N I T I O N
V I D E O
T R A N S C R I B E T R A N S L A T E
PLATFORM SERVICES
AI for engineers
AMAZON
SAGEMAKER
60. AMAZON SAGEMAKER
Fully managed
hosting with
auto-scaling
One-click
deployment
Pre-built
notebooks for
common
problems
Built-in, high
performance
algorithms
One-click
training
Hyperparameter
optimization
BUILD TRAIN DEPLOY
Build, train, and deploy with Amazon SageMaker
61. Amazon SageMaker
Collect and
prepare
training data
Choose and
optimize
your ML algorithm
Set up and
manage
environments for
training
Train and
tune model
(trial and error)
Deploy model
in production
Scale and manage
the production
environment
68. 6 0 , 0 0 0 + u n i q u e d a t a b a s e s
m i g r a t e d u s i n g D M S
Migrate
between
On-prem
and AWS
Migrate
between
Databases
Automated
schema
conversion
Data
replication
for zero
downtime
migration
A W S D A T A B A S E M I G R A T I O N S E R V I C E
69. A m a z o n A u r o r a
F a s t e s t - g r o w i n g
A W S s e r v i c e e v e r
MySQL and PostgreSQL compatible
Several times faster than standard
MySQL and PostgreSQL
Highly available and durable
1/10th the cost of commercial
grade database
72. ON-DEMAND, AUTO-SCALING DATABASE FOR APPLICATIONS WITH
UNPREDICTABLE OR CYCLICAL WORKLOADS
A u r o r a S e r v e r l e s s
N o n e e d t o
p r o v i s i o n i n s t a n c e s
A u t o m a t i c a l l y
s c a l e s c a p a c i t y
u p a n d d o w n
S t a r t s u p o n
d e m a n d a n d
s h u t s d o w n w h e n
n o t i n u s e
P a y p e r s e c o n d
a n d o n l y f o r t h e
d a t a b a s e
c a p a c i t y y o u u s e
73. of what we consider
analytics is not analytics
80%
VALUE
WORK 20%
80%
75. The modern data architecture is agile
USERS SOURCES MODELS APPLICATIONS QUERIES PROCESSING
76. 10
9
8
7
6 5
4
3
2
1
1. Automated And Reliable Data Ingestion
2. Preservation Of Original Source Data
3. Lifecycle Management And Cold Storage
4. Metadata Capture
5. Managing Governance, Security, Privacy
6. Self-Service Discovery, Search, Access
7. Managing Data Quality
8. Preparing For Analytics
9. Orchestration And Job Scheduling
10. Capturing Data Change
T h e m o d e r n d a t a a r c h i t e c t u r e
i s c o m p l e x
77. T h e r e a l i t y i s m o s t
o f y o u r d a t a i s i n
s i l o s
78. W h a t d o e s t h e m o d e r n d a t a
a r c h i t e c t u r e l o o k l i k e o n A W S ?
79. A u t o m a t e d I n g e s t i o n
S3
Upload
AWS Storage
Gateway
Kinesis Snowball
Snowball Edge
Snowmobile
DynamoDB
Streams
80. P r e s e r v a t i o n o f
o r i g i n a l s o u r c e d a t a
S3 EFS EBS DynamoDB
RDS Aurora Redshift
81. New API to select and retrieve data within objects
Accelerate any application that processes a subset of
object data in S3
Improve data access performance by up to 400%
POWERFUL NEW S3
CAPABILITY TO PULL OUT
ONLY THE OBJECT DATA YOU
NEED USING STANDARD SQL
EXPRESSIONS
S 3 S e l e c t
b e t a
RUN QUERIES DIRECTLY ON
DATA STORED IN GLACIER
G l a c i e r
S e l e c t
Run queries on data stored at rest in Amazon Glacier
Any application can query Glacier data
Retrieve only what you need
Makes Glacier part of your data lake
82. L i f e c y c l e m a n a g e m e n t
a n d c o l d s t o r a g e
S3 Storage
Management
Glacier
83. M a n a g e g o v e r n a n c e ,
s e c u r i t y , p r i v a c y
Config CloudTrail
KMS Glacier Vault Lock
84. AWS Glue helps you get
the most out of your data
AWS
GLUE
Amazon
Re dshift
+ R e d s h i f t
S p e c t r u m
Amazon
Quic kSight
Amazon E MR
H a d o o p , S p a r k ,
P r e s t o , P i g ,
H i v e … 1 9 t o t a l
Amazon
At he na
Amazon
Kine sis
Amazon
Elast ic se ar c h
Se r vic e
S3 EFS EBS Glacier
Storage
Non-relational Databases
AURORA COMMERCIAL COMMUN ITY
Relational Databases
Amazon
DynamoDB
Amazon
Elast iC ac he
Analytics
Amazon
C loudSe ar c h
AWS Dat a
Pip e l ine
Available
TODAY!
85. AWS Glue helps you get
the most out of your data
AWS
GLUE
Amazon
Re dshift
+ R e d s h i f t
S p e c t r u m
Amazon
Quic kSight
Amazon E MR
H a d o o p , S p a r k ,
P r e s t o , P i g ,
H i v e … 1 9 t o t a l
Amazon
At he na
Amazon
Kine sis
Amazon
Elast ic se ar c h
Se r vic e
S3 EFS EBS Glacier
Storage
Non-relational Databases
AURORA COMMERCIAL COMMUN ITY
Relational Databases
Amazon
DynamoDB
Amazon
Elast iC ac he
Analytics
Amazon
C loudSe ar c h
AWS Dat a
Pip e l ine
86. M a c h i n e
L e a r n i n g
AWS Glue helps you get
the most out of your data
AWS
GLUE
Amazon
Re dshift
+ R e d s h i f t
S p e c t r u m
Amazon
Quic kSight
Amazon E MR
H a d o o p , S p a r k ,
P r e s t o , P i g ,
H i v e … 1 9 t o t a l
Amazon
At he na
Amazon
Kine sis
Amazon
Elast ic se ar c h
Se r vic e
S3 EFS EBS Glacier
Storage
Non-relational Databases
AURORA COMMERCIAL COMMUN ITY
Relational Databases
Amazon
DynamoDB
Amazon
Elast iC ac he
Analytics
Amazon
C loudSe ar c h
AWS Dat a
Pip e l ine
87. 10
9
8
7
6 5
4
3
2
1 1. Automated And Reliable Data Ingestion
2. Preservation Of Original Source Data
3. Lifecycle Management And Cold Storage
4. Metadata Capture
5. Managing Governance, Security, Privacy
6. Self-Service Discovery, Search, Access
7. Managing Data Quality
8. Preparing For Analytics
9. Orchestration And Job Scheduling
10. Capturing Data Change
A W S i s t h e o n l y p l a c e y o u
c a n h a v e a c o m p r e h e n s i v e
m o d e r n d a t a a r c h i t e c t u r e
88. A W S i s t h e o n l y
p l a c e y o u c a n
h a v e a
c o m p r e h e n s i v e
m o d e r n d a t a
a r c h i t e c t u r e
Every possible analytics engine
Strong support for exploration
and discovery
Deep integration of security and
governance
Removal of the heavy lifting of
data analytics
94. 94
Central Group is a global Retail and aspiring Technology
organization, driving a rapid transformation program
Central
Group
• Retail, Hotels, Restaurants, Real Estate, generating ~220’000 jobs
• Thailand, Vietnam, Malaysia, Germany, Italy, Austria, Denmark, others
• A family held corporation, Target 2018: $11.9B
• Partnering with JD.COM for Marketplace, E-Logistics and E-Finance
• Delivery centers in Bangkok, Budapest and Singapore
• Digital Education for Group Executives
• Rapid rollout of Unified Commerce Technologies
• Continuing to attract top talent building a core technology team
Acceleration
Partners
• Added subject matter expertise to accelerate journey and skill building
API Big Data OMNI Channel Client DNA Cloud
95. 95
Fast time to market is achievable, when everyone shares the
vision, operating model and architecture for target state
Starting with …
▪ Lack of digital capabilities
▪ Diverse and immature platforms
▪ Slow renewal progress
Driving at speed…
▪ Digitize Strategy and Path
▪ Operating Model for Technology
and Business
▪ Real time decision making
▪ Attracting and retaining talent
Adoption of Data is reality, using
Rest API is reality, and using OMNI
Channel Commerce is driving
revenue.
Strategy
Operating
Model
Enterprise
Architecture
Organization
Architecture
OMNI Channel &
Customer Care
API
Big Data
Organization
Accelerators
Leverage &
Mature
Next Wave
Feb/Mar Apr - May Jun - Dec Jan - Today
2017 2018
Cloud Infrastructure
96. 96
Our Cloud Native Architecture has delivered a complex yet
flexible holistic platform, enabling all delivery of all requirements
OMNI Channel Platform
API Gateway
ESB | DataPump
Authentication | Authorization
Traditional Backend
OMNI Point of Sale
Data Lake
Digital Gateways
Customer Care
UI Framework
• Integrated Framework
• Cloud Native
• CI/CD
• ERP Abstraction
• Data driven
• Extensible
• Rapid ability to adopt new revenue generating
features and ability to experiment
• Create new revenue generating capabilities for the business
• AWS reduces efforts by mix of open and pre-built services
97. 97
Create a “Data Native Enterprise”, with a goal speed of execution
and adoption of innovation vs traditional Data Lake setups
Technologies used:
• AWS EMR, IAM, Kinesis, RDS, S3, Glacier, Elastic/SOLR
• Ranger, Atlas*, Lily, NIFI, Schema registry
• CG’s Data Lake is built completely on
AWS, extending ‘EMR’ – enabling
rapid build up of base data lake
platform with better capabilities
• Data Native strategy enabled:
Collection, Quality, Access,
Intelligence, and Evolution
• Design and spin up infinite cloud
resources reacting to everchanging
demands at lightening speed
• Enable agile analytics and data
science services on and offline across
the group
Needs:
• Multi-tenancy – many entities
• Governance built-in from day 1
• Rapid innovation adoption
• Multiple diverse user cases
• Real time capability
• Cost Management
98. 98
Create a modern Application Integration Platform, with a Micro
Service and Abstraction Layer for traditional platforms
• Strategic Application Integration
Architecture, as a key enabler for
Central Group in creating a OMNI
Channel Retail Platform
• Selected key Open Source and AWS
Components providing a
MicroServices Layer, Abstraction of
legacy platforms, and API Portal
• CI/CD: Continues Development and
Continues Integration applied
Needs:
• Legacy APIs, Databases, and Files
• Provide 3rd party APIs
• Headless Architecture
• High Productivity
• ”Super” Scalability required
Technologies used:
• Apache Camel, AWS API GW, IAM, Lambda Transformer, Kinesis
• Cloud Watch, New Relic, Elastic Search + Kibana, Swagger
99. 99
To automate infrastructure deployments and management,
codifying is key value enable to especially a cloud setup
REPRODUCIBLE INFRASTRUCTURE
Terraform enables DevOps experts to reuse the
same configurations in multiple environments to
reduce human mistakes and save time.
Terraform enables to safely and predictably create, change, and improve production infrastructure.
It is an open-source tool that codifies APIs into declarative configuration files that can be shared amongst team
members, treated as code, edited, reviewed, and versioned.
102. Compute - From server to serverless
ContainersVirtual
Machines
Serverless
103. Compute - From server to serverless
Virtual
Machines
EMULATES PHYSICAL
INFRASTRUCTURE
GREAT FOR RUNNING
EXISTING SOFTWARE
LARGE EXISTING
FOOTPRINT
VIRTUAL MACHINES
104. Broadest spectrum of compute instances
T 2 H 1 R 4 X 1 I 3 C 5 G 3 P 3X 1 eM 5 I 3 mD 2 F 1
Amazon
Lightsail
Burstable Big Data
Optimized
Memory
Optimized
In-
memory
High
I/O
Compute
Intensive
Graphics
Intensive
General
Purpose
GPU
Memory
Intensive
General
Purpose
V i r t u a l
P r i v a t e
S e r v e r s
Bare Metal
High I/O
Dense
Storage
FPGA
EC2 Elastic GPUs
Graphics acceleration for EC2
instances
EC2 Spot Instances
• Hibernation
• No Bid Pricing
105. From server to serverless
Containers
EVEN MORE COMPUTE
EFFICIENCIES
FAST STARTUP AND
TEAR DOWN
DEVELOPER AGILITY
CONTAINERS
106. E C S
Highly scalable, high
performance container
management system
A M a n a g e d P l a t f o r m
Cluster Management Container Orchestration Deep AWS integration
107. C u s t o m e r s a r e d o i n g a m a z i n g t h i n g s
i n p r o d u c t i o n w i t h c o n t a i n e r s
109. EKS
Platform for enterprises to run
production-grade Kubernetes-
grade installations
Managed and
upstream experience
Seamless, native integration
with AWS services
Gives back to
open-source community
110. B u i l d e r s w a n t t o b u i l d ,
n o t m a n a g e c l u s t e r s
112. Containers on AWS
Amazon EKS
AWS Fargate for ECS
AWS Fargate for EKS
Amazon ECS
COMING SOONPREVIEW
113. From server to serverless
Serverless
EXTREME DEVELOPER
PRODUCTIVITY
COMPLETE
ELIMINATION OF
INFRA CONCERNS
FOCUS MORE ON
BUSINESS LOGIC
SERVERLESS
122. Who We Are and What We Do
Confidential: not meant for distribution beyond intended audience
A ‘next gen’ credit-based payment solution, delivering a better way to purchase
We are a digital credit card for use
at the checkout, online and offline
Our business is 2 fundamentally complex
engines bolted together -- real-time credit
assessment and a real-time transaction
engine
1 minute
to apply
2 clicks
to buy
30 days to 12 months
to pay back
123. Source: United Nations World Population Prospects, Haver
Analytics
Drivers for Retail Credit Growth
Confidential: not meant for distribution beyond intended audience
Smartphone Growth in the Country % of Population Under Age 30
The large population of millennials + high smartphone coverage + high demand for credit creates the perfect
storm for digital data based credit assessment and lending
0
20
40
60
80
100
120
2011 2012 2013 2014 2015 2016 2017
InMillions
Source: eMarketer, 2016
Total leverage – Debt to GDP (%)
124. Confidential: not meant for distribution beyond intended audience
Challenges
Process 20-30 MB of raw data per user
in real-time to create hi-quality credit
scores
Scalable services to build our risk models
Identity verification
model
Address verification
model
Credit scoring models
(A, B and C scores)
Income prediction
model
Self reported info
Demographic,
Employment…
Phone data
Device info, Apps, Data
usage, Call logs,
Contacts…
Environmental data
Application filling
behavior, Time of day…
Third-Party Data
Social media, Ecommerce
history, Bank accounts…
An extensible, hi-frequency transaction engine
A transaction engine that can easily
scale to handle ~100k txn requests per
day with ~50ms response time
125. Confidential: not meant for distribution beyond intended audience
Architecture – Business Layers
Machine learning Analytics and reporting
Big data
b_score TED MCO
Loan
& repayment
Lender
OCR CSS Ostrich APE Miners
Users
Merchants
Lenders
Ops team Internal APIs External APIS
Integration Layers
Payment channels
Banks and Ecom
Lenders
126. Confidential: not meant for distribution beyond intended audience
Technical Architecture
ActiveMQMySQL S3
Elasticache
Redis
VPC
Auto scaling
ActiveMQMySQL S3
Elasticache
Redis
Latency based
routing
Route 53
Zone 1a Zone 1b
Router
Lambda
API gateway
Lambda Lambda
Lambda Lambda
APE
rules
VPN
connection
VPC
Auto scaling
Zone 1a Zone 1b
Router
VPC
Auto scaling
Zone 1a Zone 1b
VPC
Auto scaling
Zone 1a Zone 1b
127. Confidential: not meant for distribution beyond intended audience
Results of Using AWS
Apr-16 May-16 Jun-16 Jul-16 Aug-16 Sep-16 Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug-17 Sep-17 Oct-17 Nov-17 Dec-17 Jan-18 Feb-18 Mar-18
Transactions/ month
Apr-16 May-16 Jun-16 Jul-16 Aug-16 Sep-16 Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug-17 Sep-17 Oct-17 Nov-17 Dec-17 Jan-18 Feb-18 Mar-18
Applications/ month
30%
CAGR
35%
CAGR
1 sRaw data collected per day
20 TB Total size of raw data DB
30 GB Time to process a credit score
Max transactions handled/ second100
128. Confidential: not meant for distribution beyond intended audience
What’s new in 2018?
Continuous migration from EC2 to Lambda
Instant scoring using a combination of Kinesis,
S3, ElastiCache and Lambda
Amazon ML deployment
129.
130. G L O B A L S P O N S O R S
# A W S S U M M I T S G
*HURRY!
Submit before the
Closing Keynote
AWS SUMMIT FEEDBACK FORM
Complete the feedback form on the Event App
and stand a chance to win Amazon Gift Cards:
131. G L O B A L S P O N S O R S
# A W S S U M M I T S G
BREAKOUT SESSIONS
Hall 2
Hall 1
Exhibition
Showcase
Breakout Sessions are Colour Coded
- Follow our ushers to get to your
favourite track
LEVEL 1
LEVEL 2
132. G L O B A L S P O N S O R S
# A W S S U M M I T S G
BREAKOUT SESSIONS
Plug in your earphones into the receiver at the back of your chairs and
tune in to the following channels according to the track.
*kindly refrain from removing the receivers from the chairs
MODERN BUILDERS
MOVE IT! MIGRATING TO AWS
FAST START WITH AWS
CUSTOMER INSIGHTS &
MACHINE LEARNING
Channel #1
Channel #2
Channel #3
Channel #4
133. G L O B A L S P O N S O R S
# A W S S U M M I T S G
OUR SPONSORS
GLOBAL SPONSORS
D I A M O N D S P O N S O R P L A T I N U M S P O N S O R G O L D S P O N S O R
S I L V E R S P O N S O R