Introduction to Amazon Web Services and cloud computing and how it supports the Digital Marketing industry. AdRoll CEO, Aaron Bell, describes their success story on AWS using DynamoDB for retargeting.
In today's world, consumer habits change fast and marketing decisions need to be made within seconds, not days. Delivering engaging advertising experiences requires real time, high performing architectures that provide digital advertisers the ability to measure and improve the performance of their campaigns and tie them more closely to corporate goals. The insights gleaned from the massive amounts of data collected can then be used to dynamically adjust media spend and creative execution for optimal performance. The AWS Cloud enables you to deliver marketing content and advertisements with the levels of availability, performance, and personalization that your customers expect. Plus, AWS lowers your costs. Join us to learn about how big data and low latency / high performing architectures are changing the game for digital advertising.
Keynote address and AWS overview by Dr. Werner Vogels, Amazon.com CTO, at the AWS Cloud for the Enterprise Event in LA on October 15, 2009 and in NY on October 19, 2009
Introduction to Cloud Computing with Amazon Web Services-ASEAN Workshop Serie...Amazon 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 the first of this series, we will cover 'Introduction to Cloud Computing with Amazon Web Services'.
Keynote address and AWS overview by Dr. Werner Vogels, Amazon.com CTO, at the AWS Cloud for the Enterprise Event in LA on October 15, 2009 and in NY on October 19, 2009
Introduction to Cloud Computing with Amazon Web Services-ASEAN Workshop Serie...Amazon 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 the first of this series, we will cover 'Introduction to Cloud Computing with Amazon Web Services'.
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 Summit 2013 | India - Running Enterprise Applications like SAP, Oracle an...Amazon Web Services
AWS offers a reliable and scalable cloud infrastructure platform that enables customers to run all types of business applications, from small departmental solutions to mission-critical applications that automate company-wide business processes. AWS is certified to run various ERP, CRM, collaboration, databases, messaging and content management software packages from top Independent Software Vendors (ISVs) like SAP, Oracle, Microsoft. Find out how you can run your business Applications from SAP, Oracle and Microsoft in an on-demand and flexible way on the cloud.
In this session, you will learn how to designed clickstream analytics application and how you can use the same architecture to build your own and be ready to handle the changing world of clickstream data. Dive into how to perform advanced user retention and cohort analysis to make near–real time product and marketing decisions. Learn how to build infrastructure that is fast, easy, and cost-effective with AWS resources such as Amazon Kinesis, Spark on Amazon EMR, Amazon S3, Amazon Redshift, and Amazon Elasticsearch.
2014년 10월 29일에 열린 AWS Enterprise Summit에서의 발표자료입니다. 아마존 웹서비스의 정윤진 솔루션스 아키텍트가 진행한 강연입니다.
강연 요약: 웹/모바일 앱의 형태를 띤 새로운 애플리케이션을 구축해 수익화하는 것은 엔터프라이즈 기업들이 클라우드 컴퓨팅 도입의 초기에 채택하기 좋은 전략입니다. 이 세션에서는 이러한 신규 애플리케이션을 처음부터 클라우드에서 구동해 안전 설계와 고가용성, 확장성, 비용 절감 등 클라우드의 이점을 최대한으로 발휘하기 위해서는 애플리케이션을 어떻게 설계하고 개발해야 하는지에 대해 다룰 예정입니다. 종전의 설계와 플랫폼에 비해 아주 적은 시간과 비용만으로 새롭게 애플리케이션을 구축할 수 있는 방법에 대해 들어보시기 바랍니다.
IDC and AWS Joint Webinar: Getting the most bang for your buck with EC2 Spot - Amazon Web Services
Learning Objectives:
• Learn best practices that enable more proactive, timely, and innovative applications
• Learn how to deliver more value to users and customers in the form of features and functionality that stem from having access to highly cost-effective compute resources
• Leverage lower compute costs to better compete on price and, as a result, win more business
Amazon EC2 provides you with the flexibility to cost optimize your computing portfolio through purchasing models that fit your business needs. With the flexibility of mix-and-match purchasing models, you can grow your compute capacity and throughput and enable new types of cloud computing applications with the lowest TCO.
In this session, we will explore combining pay-as-you-go (On-Demand), reserve ahead of time for discounts (Reserved), and high-discount spare capacity (Spot) purchasing models to optimize costs while maintaining high performance and availability for your applications. IDC will present a summary of the business value and best practices AWS customer have used to achieve five-year ROIs of 220% and 14% faster application delivery.
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.
Powering Real-Time Analytics with Data Virtualization on AWS (ASEAN & ANZ)Denodo
Watch full webinar here: https://bit.ly/3h2yLnb
Presented at AWS Summit Online 2021 (ASEAN & ANZ)
Is your organization challenged with modernizing analytics in the cloud, while driving smarter data integration capabilities? With a logical data warehouse powered by data virtualization, you can combine all of the data across the enterprise and make it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions.
In this session, you will learn how data virtualization helps enterprises gain a unified view of the data across AWS, multi-cloud and hybrid cloud easily with a virtual data layer that abstracts business users from the technical details of where data resides.
IDT Replaces On-Premises Appliances with Primary Backup on AWSAmazon Web Services
IDT Telecom, a leader in prepaid communication and payment services, used on-premises appliances to back up its data worldwide. Faced with increasing support costs for its appliances and a goal to align its backup environment with its cloud strategy, IDT looked to StorReduce and Amazon Web Services (AWS) for a more cost-effective, efficient, and scalable backup and recovery solution. With StorReduce’s scalable deduplication software, IDT moved its primary backup data to Amazon S3 for faster throughputs and recovery times, saving up to 80 percent in costs. Learn how StorReduce and AWS enabled IDT to replace its on-premises backup appliances with AWS, lower total cost of ownership, and increase data availability.
AWS Summit 2013 | India - Big Data Analytics, Abhishek SinhaAmazon Web Services
The volume, velocity and variety of data has changed drastically in the last decade. Everything generates data today, from your customers on social networks, to the instances running your web applications. The tools to support collecting, storing, organizing, analyzing and sharing of data are all available in a couple of clicks, with Amazon Web Services. Attend this session to learn how Big Data in the cloud can help you easily unlock business opportunities hidden in your data today.
Working with big volumes of data is a complicated task, but it's even harder if you have to do everything in real time and try to figure it all out yourself. Over the past decades many open-source projects helped solve problems within the data analytics lifecycle around ingestion, storage, processing and visualisation of data. This session will use practical examples to discuss architectural best practices and lessons learned when solving real-time analytics and data visualisation decision-making problems with open-source at scale with the power of Amazon Web Services. It furthermore dives into a demo, using source code from the AWS Labs to visualise live data streams at scale.
Olivier Klein, Solutions Architect, Amazon Web Services, Greater China
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 Summit 2013 | India - Running Enterprise Applications like SAP, Oracle an...Amazon Web Services
AWS offers a reliable and scalable cloud infrastructure platform that enables customers to run all types of business applications, from small departmental solutions to mission-critical applications that automate company-wide business processes. AWS is certified to run various ERP, CRM, collaboration, databases, messaging and content management software packages from top Independent Software Vendors (ISVs) like SAP, Oracle, Microsoft. Find out how you can run your business Applications from SAP, Oracle and Microsoft in an on-demand and flexible way on the cloud.
In this session, you will learn how to designed clickstream analytics application and how you can use the same architecture to build your own and be ready to handle the changing world of clickstream data. Dive into how to perform advanced user retention and cohort analysis to make near–real time product and marketing decisions. Learn how to build infrastructure that is fast, easy, and cost-effective with AWS resources such as Amazon Kinesis, Spark on Amazon EMR, Amazon S3, Amazon Redshift, and Amazon Elasticsearch.
2014년 10월 29일에 열린 AWS Enterprise Summit에서의 발표자료입니다. 아마존 웹서비스의 정윤진 솔루션스 아키텍트가 진행한 강연입니다.
강연 요약: 웹/모바일 앱의 형태를 띤 새로운 애플리케이션을 구축해 수익화하는 것은 엔터프라이즈 기업들이 클라우드 컴퓨팅 도입의 초기에 채택하기 좋은 전략입니다. 이 세션에서는 이러한 신규 애플리케이션을 처음부터 클라우드에서 구동해 안전 설계와 고가용성, 확장성, 비용 절감 등 클라우드의 이점을 최대한으로 발휘하기 위해서는 애플리케이션을 어떻게 설계하고 개발해야 하는지에 대해 다룰 예정입니다. 종전의 설계와 플랫폼에 비해 아주 적은 시간과 비용만으로 새롭게 애플리케이션을 구축할 수 있는 방법에 대해 들어보시기 바랍니다.
IDC and AWS Joint Webinar: Getting the most bang for your buck with EC2 Spot - Amazon Web Services
Learning Objectives:
• Learn best practices that enable more proactive, timely, and innovative applications
• Learn how to deliver more value to users and customers in the form of features and functionality that stem from having access to highly cost-effective compute resources
• Leverage lower compute costs to better compete on price and, as a result, win more business
Amazon EC2 provides you with the flexibility to cost optimize your computing portfolio through purchasing models that fit your business needs. With the flexibility of mix-and-match purchasing models, you can grow your compute capacity and throughput and enable new types of cloud computing applications with the lowest TCO.
In this session, we will explore combining pay-as-you-go (On-Demand), reserve ahead of time for discounts (Reserved), and high-discount spare capacity (Spot) purchasing models to optimize costs while maintaining high performance and availability for your applications. IDC will present a summary of the business value and best practices AWS customer have used to achieve five-year ROIs of 220% and 14% faster application delivery.
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.
Powering Real-Time Analytics with Data Virtualization on AWS (ASEAN & ANZ)Denodo
Watch full webinar here: https://bit.ly/3h2yLnb
Presented at AWS Summit Online 2021 (ASEAN & ANZ)
Is your organization challenged with modernizing analytics in the cloud, while driving smarter data integration capabilities? With a logical data warehouse powered by data virtualization, you can combine all of the data across the enterprise and make it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions.
In this session, you will learn how data virtualization helps enterprises gain a unified view of the data across AWS, multi-cloud and hybrid cloud easily with a virtual data layer that abstracts business users from the technical details of where data resides.
IDT Replaces On-Premises Appliances with Primary Backup on AWSAmazon Web Services
IDT Telecom, a leader in prepaid communication and payment services, used on-premises appliances to back up its data worldwide. Faced with increasing support costs for its appliances and a goal to align its backup environment with its cloud strategy, IDT looked to StorReduce and Amazon Web Services (AWS) for a more cost-effective, efficient, and scalable backup and recovery solution. With StorReduce’s scalable deduplication software, IDT moved its primary backup data to Amazon S3 for faster throughputs and recovery times, saving up to 80 percent in costs. Learn how StorReduce and AWS enabled IDT to replace its on-premises backup appliances with AWS, lower total cost of ownership, and increase data availability.
AWS Summit 2013 | India - Big Data Analytics, Abhishek SinhaAmazon Web Services
The volume, velocity and variety of data has changed drastically in the last decade. Everything generates data today, from your customers on social networks, to the instances running your web applications. The tools to support collecting, storing, organizing, analyzing and sharing of data are all available in a couple of clicks, with Amazon Web Services. Attend this session to learn how Big Data in the cloud can help you easily unlock business opportunities hidden in your data today.
Working with big volumes of data is a complicated task, but it's even harder if you have to do everything in real time and try to figure it all out yourself. Over the past decades many open-source projects helped solve problems within the data analytics lifecycle around ingestion, storage, processing and visualisation of data. This session will use practical examples to discuss architectural best practices and lessons learned when solving real-time analytics and data visualisation decision-making problems with open-source at scale with the power of Amazon Web Services. It furthermore dives into a demo, using source code from the AWS Labs to visualise live data streams at scale.
Olivier Klein, Solutions Architect, Amazon Web Services, Greater China
Even though Cloud Computing is not a new term, many educators remain confused about exactly what it is and how to apply it. This presentation will eliminate the confusion.
It focuses on the approaches of three companies to Cloud Computing: Microsoft, Amazon and Google
To learn more check out our Azure training course at
http://www.karrox.com/cloud_computing.html
Startup Secrets - Game Changing Business ModelsMichael Skok
In our industry, it’s not uncommon for entrepreneurs to become so mono-focused on the novelty of their product that they forget to innovate sufficiently around their business model. A disruptive business model can be at least as important as a discontinuous innovation.
The introductory morning session will discuss big data challenges and provide an overview of the AWS Big Data Platform. We will also cover:
• How AWS customers leverage the platform to manage massive volumes of data from a variety of sources while containing costs.
• Reference architectures for popular use cases, including: connected devices (IoT), log streaming, real-time intelligence, and analytics.
• The AWS big data portfolio of services, including Amazon S3, Kinesis, DynamoDB, Elastic MapReduce (EMR) and Redshift.
• The latest relational database engine, Amazon Aurora - a MySQL-compatible, highly-available relational database engine which provides up to five times better performance than MySQL at a price one-tenth the cost of a commercial database.
• Amazon Machine Learning – the latest big data service from AWS provides visualization tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology.
You’re interested in the cloud, and you want to start learning more. In this webinar we will answer the following questions:
• What is Cloud Computing?
• What are the benefits of Cloud Computing?
• What are AWS’s products and what workloads can I run with them?
• Who is using the cloud and what are they using it for?
Presenter: Jeff Barr, AWS Chief Evangelist
Webinar aws 101 a walk through the aws cloud- introduction to cloud computi...Amazon Web Services
Whether you are running applications that share photos or support critical operations of your business, you need rapid access to flexible and low cost IT resources. The term "cloud computing" refers to the on-demand delivery of IT resources via the Internet with pay-as-you-go pricing. Whether you are a start-up who wants to accelerate growth without a big upfront investment in cash or time for technology or an Enterprise looking for IT innovation, agility and resiliency while reducing costs, the AWS Cloud provides a complete set of web services at zero upfront costs which are available with a few clicks and within minutes. Join this webinar to learn more about the benefits of Cloud Computing and:
- The history of AWS and how a global online retailer got into cloud computing
- The concepts of utility computing and elasticity and why these are important to a cost-effective, scalable and reliable IT architecture
- The AWS service portfolio and the global footprint on which it is delivered
- The value proposition of the AWS Cloud
- Use cases to help you relate cloud based infrastructure to your own needs
- Busting the myths around cloud computing
- No prior experience is necessary, so join us for an overview of the AWS cloud services, and a discussion on how cloud computing can help accelerate innovation in your company.
AWS 101 Webinar: Journey to the AWS Cloud - Introduction to Cloud Computing w...Amazon Web Services
Whether you are running applications that share photos or support critical operations of your business, you need rapid access to flexible and low cost IT resources. The term "cloud computing" refers to the on-demand delivery of IT resources via the Internet with pay-as-you-go pricing. Whether you are a start-up who wants to accelerate growth without a big upfront investment in cash or time for technology or an Enterprise looking for IT innovation, agility and resiliency while reducing costs, the AWS Cloud provides a complete set of web services at zero upfront costs which are available with a few clicks and within minutes. In this session learn more about the benefits of Cloud Computing with AWS.
In this presentation AWS Technical Evangelist Ian Massingham introduces the AWS Cloud, discusses the benefits that customers delivery when they make use of AWS and also covers the common patterns for adoption of AWS amongst established enterprises. He will also walk through a selection of the services that AWS provides and describe how you can use these to run your applications and other IT workloads.
Watch a recording of this presentation on YouTube here: http://youtu.be/oFFhVAaLqrg
An Overview of AWS Services for Data Storage and Migration - SRV205 - Atlanta...Amazon Web Services
In this session, we explore the features and functions of AWS storage services. We provide context on the AWS storage portfolio, and we cover the most common use cases for AWS offerings for object, file, block, and migration technologies, including the AWS Partner Network (APN) ecosystem. Then we examine each service, using customer case studies as examples. You gain an understanding of how to select storage and start moving workloads or building new ones.
Opportunities that the Cloud Brings for Carriers @ Carriers World 2014Ian Massingham
In this presentation from Total Telecom's Carriers World Conference in 2014 I discussed the opportunities that cloud computing presents for Telecommunications Carriers.
How Globe Telecom does Primary Backups via StorReduce to the AWS CloudAmazon Web Services
Globe Telecom, a large telecommunications company in the Philippines with over 65 million subscribers, needed a cost-effective and scalable solution for storing primary data backups. Its previous on-premises data domain appliances created expensive hardware silos and a risk of data loss in the event of an ill-timed backup system outage, a vulnerability the company couldn’t afford. StorReduce’s scalable deduplication software solved Globe Telecom’s problem with throughputs and recovery speeds faster than leading backup appliances, enabling them to transfer primary and secondary backup data from backup appliances and tape to the Amazon Cloud. This resulted in a data storage savings of up to 80% and ensured best-of-breed scalability, durability, and recoverability for its data.
AWS Cloud Kata 2013 | Singapore - Getting to Scale on AWSAmazon Web Services
This session will focus on how to get from 'Minimum Viable Product' (MVP) to scale. It will also explain how to deal with unpredictable demand and how to build a scalable business. Attend this session to learn how to:
Scale web servers and app services with Elastic Load Balancing and Auto Scaling on Amazon EC2
Scale your storage on Amazon S3 and S3 Reduced Redundancy Storage
Scale your database with Amazon DynamoDB, Amazon RDS, and Amazon ElastiCache
Scale your customer base by reaching customers globally in minutes with Amazon CloudFront
Data migration at petabyte scale is now a simple service from AWS. You can easily migrate large volumes of data from on-premises environments to the cloud, quickly get started with the cloud as a backup target, or burst workloads between your on-premises environments and the AWS Cloud. Learn about AWS Snowball, AWS Snowball Edge, AWS Snowmobile and AWS Storage Gateway, and understand which one is the right fit for your requirements. We will go through customer use cases, review the different applications used, and help you cut IT spend and management time on hardware and backup solutions.
Want to learn the basics of cloud computing with AWS and how various infrastructure building blocks fit together? If so, then join us in this webinar to find out how the AWS Cloud provides rapid access to flexible resources for your organization’s needs.
Visualize your data in Data Lake with AWS Athena and AWS Quicksight Hands-on ...Amazon Web Services
Level 200: Visualize Your Data in Data Lake with AWS Athena and AWS Quicksight
Nowadays, enterprises are building Data Lake which store lots of structured and unstructured data for data analysis. But it takes lots of time for building the data modeling and infrastructure that is required. How to make quick data queries without servers and databases is the next big question for every enterprises.
In this workshop, eCloudvalley, the first and only Premier Consulting Partner in GCR, will demonstrate how to use serverless architecture to visualize your data using Amazon Athena and Amazon Quicksight.
You can easily query and visualize the data in your S3, and get business insights with the combination of these two services. Also, you can also build business reports with other tools such as AWS IoT, Amazon Kinesis Firehose.
Reason to Attend:
Learn how to quickly search for thousands of data on S3 via serverless Amazon's Athena
Learn how to use AWS QuickSight to retrieve information from your database quickly and create detailed reports
AWS Webcast - Webinar Series for State and Local Government #1: Discover Clou...Amazon Web Services
Are you interested in the cloud, and want to start learning more about cloud computing with Amazon Web Services? If you answered yes then this webinar is for you! You will receive an overview of AWS, discover why others in state and local government are choosing AWS and what they are using AWS for as well as how to get started.
Join us for a series of introductory and technical sessions on AWS Big Data solutions. Gain a thorough understanding of what Amazon Web Services offers across the big data lifecycle and learn architectural best practices for applying those solutions to your projects.
We will kick off this technical seminar in the morning with an introduction to the AWS Big Data platform, including a discussion of popular use cases and reference architectures. In the afternoon, we will deep dive into Machine Learning and Streaming Analytics. We will then walk everyone through building your first Big Data application with AWS.
Amazon web services | Cloud Computing |Rahul SInghRahul Singh
Cloud computing is the present as well as future for the IT industry due to its cost and flexibility , the slide shows various components of cloud computing
Similar to The Future of Digital Advertising with Cloud Computing - co-presented with AdRoll (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.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
The Future of Digital Advertising with Cloud Computing - co-presented with AdRoll
1. October 3, 2013
The Future of Digital Advertising
with Cloud Computing
Ben Butler, Sr. Mgr,. Big Data, AWS
2. Why Companies Use AWS
• Business
o Fast time to market
o Iterate features faster because you’re not building/managing undifferentiated
“plumbing”. Very important in the rapidly changing digital advertising ecosystem.
• Operational
o Add new datacenters in minutes or hours (e.g. burst or geographic expansion)
o Locality: Many companies in the Real Time Bidding ecosystem are on AWS
• Financial
o Pay only for what you use, when you use it
o Avoid large Capex expense for geographic or local expansion
3. Use Cases on AWS
Ad Serving
Infrastructure
Ad Servers
Exchanges, DSPs, SSPs
Data Management Platforms
Interactive Campaigns
and Microsites
Product web sites
Social networking campaigns
Games and contests
High Performance
Computing & Big Data
Ad analytics
Ad server log processing
Business Intelligence
6. Gartner Magic Quadrant for Cloud IaaS
Gartner “Magic Quadrant for Cloud Infrastructure as a Service,” Lydia Leong,
Douglas Toombs, Bob Gill, Gregor Petri, Tiny Haynes, August 19, 2013. This Magic
Quadrant graphic was published by Gartner, Inc. as part of a larger research note
and should be evaluated in the context of the entire report.. The Gartner report is
available upon request from Steven Armstrong (asteven@amazon.com). 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. 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.
7. AWS Service Overview
AWS Global Infrastructure
Application Services
Networking
Deployment & Administration
DatabaseStorageCompute
8. Compute Services
Amazon EC2 Auto Scaling
Elastic Load
Balancing
Actual
EC2
Elastic Virtual servers
in the cloud
Dynamic traffic
distribution
Automated scaling
of EC2 capacity
9. Big Data Services
Amazon EMR
(Elastic Map Reduce)
Amazon Redshift AWS Data Pipeline
Hosted Hadoop
framework
Petabyte-scale data
warehouse service
Move data among AWS
services and on-
premises data sources
10. Database and Application Services
Amazon CloudFront
CDN
Amazon RDS Amazon Dynamo
DB
distribute content
globally, fast
Managed relational
database service
Managed NoSQL
database service
DBA
Amazon
CloudSearch
Managed search
engine service
11. Storage Services
Amazon EBS
EBS
Block storage for use
with Amazon EC2
Amazon S3
Images
Videos
Files
Binaries
Snapshots
Internet scale
storage via API
AWS Storage Gateway
S3,
Glacier
Integrates on-premises
IT and AWS storage
Amazon Glacier
Images
Videos
Files
Binaries
Snapshots
Storage for archiving
and backup
13. Kantar Media Uses AWS to Scale Quickly
Need to scale to
45M+ beacon calls per day
EDGE SERVERS RUNNING ON EC2
INGEST THE DATA, USE SQS TO LET
WORKERS KNOW THAT DATA IS
AVAILABLE
WORKERS PRE-PROCESS THE DATA
AND PUT IT INTO S3
EMR THEN PROCESSES THAT DATA,
OUTPUTTING REPORTS AND RESULTS
INTO ANOTHER S3 BUCKET
Amazon Elastic Compute
Cloud (EC2)
Elastic
Load
Balancer
Edge
Servers Workers
Logs Reports
HDFS
Cluster
Amazon Elastic
MapReduce
Amazon Simple Queue
Service (SQS)
Amazon Simple Storage
Service (S3)
14. Razorfish Uses AWS for Big Data Processing
Processing time reduced to
8 hours from 2+ days
S3 Hadoop Cluster
100 machine cluster
created on demand
3.5 billion records per day
71 million unique cookies
per day
1.7 Million targeted ads per
day
Increased client Return On
Ad Spend by 500%
15. Lamborghini uses AWS for Dynamic Webapps
Reduced
infrastructure
costs by 50%
Reduced time to
market to near Zero
16. Samsung Improved their Product Experience with AWS
Saved $34 Million 85% savings versus
traditional hosting
17. Affine uses AWS for Contextual Targeting
OUR CUSTOMERS BID ON VIDEO AD
INVENTORY IN REAL TIME AND OUR
SYSTEM MUST EVALUATE THE
CONTENT THEY'RE SPONSORING AND
RESPOND WITH A DECISION IN LESS
THAN 50MS.
ROUTE 53’S LATENCY BASED
ROUTING LETS US EASILY RUN
MULTIPLE STACKS OF OUR WHOLE
TARGETING PLATFORM IN EACH AWS
REGION SO WE CAN MEET OUR
CUSTOMERS LATENCY NEEDS.
-- Jonathan Dodson
VP Engineering
Respond in
less than 50ms
Delivers certainty to
Advertisers and Agencies
19. On-premise On-instance Object level Long term
Locally
accessible
file systems
Workloads
with local
data
Use case journey
20. On-premise On-instance Object level Long term
Locally
accessible
file systems
Workloads
with local
data
Use case journey
AWS
21. On-premise On-instance Object level Long term
Locally
accessible
file systems
Workloads
with local
data
EC2 based
applications
DR
deployments
Data
distribution
Durable
media
storage
System
images
Database
backups
Data
archives
Use case journey
22. On-premise
High IO
performance
High network
performance
On-instance Object level Long term
High IO
performance
Provisioned IOPS
Backup & Restore
Locally
accessible
file systems
Workloads
with local
data
EC2 based
applications
DR
deployments
Good
performance
High durability
Scalability
Data
distribution
Durable
media
storage
Very low price
High durability
Slow access
System
images
Database
backups
Data
archives
Use case journey
23. On-premise
High IO
performance
High network
performance
On-instance Object level Long term
High IO
performance
Provisioned IOPS
Backup & Restore
Locally
accessible
file systems
Workloads
with local
data
EC2 based
applications
DR
deployments
Good
performance
High durability
Scalability
Data
distribution
Durable
media
storage
Very low price
High durability
Slow access
System
images
Database
backups
Data
archives
Use case journey
24. On-premise
High IO
performance
High network
performance
On-instance Object level Long term
High IO
performance
Provisioned IOPS
Backup & Restore
Locally
accessible
file systems
Workloads
with local
data
EC2 based
applications
DR
deployments
Good
performance
High durability
Scalability
Data
distribution
Durable
media
storage
Very low price
High durability
Slow access
System
images
Database
backups
Data
archives
Use case journey
1
Getting
data into
the
cloud
25. AWS Direct Connect
Dedicated bandwidth between you
site and AWS
Amazon Storage Gateway
Shrink-wrapped gateway for volume
synchronization
AWS Import/Export
Physical transfer of media into and
out of AWS
Direct connect, import/export and storage gateway
Getting data into the cloud
26. On-premise
High IO
performance
High network
performance
On-instance Object level Long term
High IO
performance
Provisioned IOPS
Backup & Restore
Locally
accessible
file systems
Workloads
with local
data
EC2 based
applications
DR
deployments
Good
performance
High durability
Scalability
Data
distribution
Durable
media
storage
Very low price
High durability
Slow access
System
images
Database
backups
Data
archives
Use case journey
1
Getting
data into
the
cloud
27. On-premise
High IO
performance
High network
performance
On-instance Object level Long term
High IO
performance
Provisioned IOPS
Backup & Restore
Locally
accessible
file systems
Workloads
with local
data
EC2 based
applications
DR
deployments
Good
performance
High durability
Scalability
Data
distribution
Durable
media
storage
Very low price
High durability
Slow access
System
images
Database
backups
Data
archives
Use case journey
1
2
Getting
data into
the
cloud
Disks
and data
28. Elastic Block Store, S3 and Glacier
Fundamental Storage Options
Simple Storage Service
Highly scalable object storage
1 byte to 5TB in size
99.999999999% durability
Elastic Block Store
High performance block storage device
1GB to 1TB in size
Mount as drives to instances with
snapshot/cloning functionalities
Glacier
Long term object archive
Extremely low cost per gigabyte
99.999999999% durability
29. On-premise
High IO
performance
High network
performance
On-instance Object level Long term
High IO
performance
Provisioned IOPS
Backup & Restore
Locally
accessible
file systems
Workloads
with local
data
EC2 based
applications
DR
deployments
Good
performance
High durability
Scalability
Data
distribution
Durable
media
storage
Very low price
High durability
Slow access
System
images
Database
backups
Data
archives
Use case journey
1
2
Getting
data into
the
cloud
Disks
and data
30. On-premise
High IO
performance
High network
performance
On-instance Object level Long term
High IO
performance
Provisioned IOPS
Backup & Restore
Locally
accessible
file systems
Workloads
with local
data
EC2 based
applications
DR
deployments
Good
performance
High durability
Scalability
Data
distribution
Durable
media
storage
Very low price
High durability
Slow access
System
images
Database
backups
Data
archives
Use case journey
1
2
3
Getting
data into
the
cloud
Disks
and data
Database
as a
service
31. Relational Database
Service
Fully managed database
(MySQL, Oracle, MSSQL)
DynamoDB
NoSQL, Schemaless,
Provisioned throughput
database
Redshift
Data Warehouse
As a Service
RDS, Redshift, DynamoDB
Database services
32. On-premise
High IO
performance
High network
performance
On-instance Object level Long term
High IO
performance
Provisioned IOPS
Backup & Restore
Locally
accessible
file systems
Workloads
with local
data
EC2 based
applications
DR
deployments
Good
performance
High durability
Scalability
Data
distribution
Durable
media
storage
Very low price
High durability
Slow access
System
images
Database
backups
Data
archives
Use case journey
1
2
3
Getting
data into
the
cloud
Disks
and data
Database
as a
service
33. On-premise
High IO
performance
High network
performance
On-instance Object level Long term
High IO
performance
Provisioned IOPS
Backup & Restore
Locally
accessible
file systems
Workloads
with local
data
EC2 based
applications
DR
deployments
Good
performance
High durability
Scalability
Data
distribution
Durable
media
storage
Very low price
High durability
Slow access
System
images
Database
backups
Data
archives
Use case journey
1
2
3
4
Getting
data into
the
cloud
Disks
and data
Database
as a
service
Object
serving
and
storage
34. Elastic Block Store, S3 and Glacier
Fundamental Storage Options
Simple Storage Service
Highly scalable object storage
1 byte to 5TB in size
99.999999999% durability
Elastic Block Store
High performance block storage device
1GB to 1TB in size
Mount as drives to instances with
snapshot/cloning functionalities
Glacier
Long term object archive
Extremely low cost per gigabyte
99.999999999% durability
35. On-premise
High IO
performance
High network
performance
On-instance Object level Long term
High IO
performance
Provisioned IOPS
Backup & Restore
Locally
accessible
file systems
Workloads
with local
data
EC2 based
applications
DR
deployments
Good
performance
High durability
Scalability
Data
distribution
Durable
media
storage
Very low price
High durability
Slow access
System
images
Database
backups
Data
archives
Use case journey
1
2
3
4
Getting
data into
the
cloud
Disks
and data
Database
as a
service
Object
serving
and
storage
36. On-premise
High IO
performance
High network
performance
On-instance Object level Long term
High IO
performance
Provisioned IOPS
Backup & Restore
Locally
accessible
file systems
Workloads
with local
data
EC2 based
applications
DR
deployments
Good
performance
High durability
Scalability
Data
distribution
Durable
media
storage
Very low price
High durability
Slow access
System
images
Database
backups
Data
archives
Use case journey
1
2
3
4 5Getting
data into
the
cloud
Disks
and data
Database
as a
service
Object
serving
and
storage
Cold
storage &
archiving
37. Elastic Block Store, S3 and Glacier
Fundamental Storage Options
Simple Storage Service
Highly scalable object storage
1 byte to 5TB in size
99.999999999% durability
Elastic Block Store
High performance block storage device
1GB to 1TB in size
Mount as drives to instances with
snapshot/cloning functionalities
Glacier
Long term object archive
Extremely low cost per gigabyte
99.999999999% durability
38. October 3, 2013
The Future of Digital Advertising
with Cloud Computing
Ben Butler, Sr. Mgr,. Big Data, AWS | @bensbutler
53. They said it couldn’t be done…
2013: Day In The Life
► 10,000 customers in 100 countries
► Bidding on 10B+ events each day; avg. response time < 50ms
► 10TB processed in real-time each day
► Cutting edge tech: Kafka, Storm, HBase
► Running 200 -> 700 servers at any one time
► Running in 6 AWS data centers, soon to be 8 (Brazil & Tokyo)
► 99.99% ad server uptime (next slide)
59. 4. Plug into awesome services (that would be
hard to built in-house)
60. 5. Rapidly experiment and validate new
algorithms and product extensions
“Want to increase innovation? Lower
the cost of failure”
- Joi Ito, Dir MIT Media Lab
Labs