This document provides a high-level summary of AWS services presented in a technical training for partners. It covers compute services like EC2 and Lambda, storage services like S3 and EBS, database services like DynamoDB and RDS, networking services like VPC and Route 53, and security services like IAM. The training introduces the core AWS services and how they can be used to build scalable and reliable cloud applications.
Build Data Lakes and Analytics on AWS: Patterns and Best PracticesAmazon Web Services
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 Simple Storage Service (Amazon S3), AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon Machine Learning (Amazon ML) services work together to build a successful data lake for various roles, including data scientists and business users.
Speaker: Craig Roach, Solutions Architect, AWS
In this presentation, we will explore three different ways you can build backends for real-time applications. First, we'll examine how to run and scale SignalR and other similar opensource frameworks on AWS using Amazon ElastiCache. Next, we will take a look at the new WebSocket support in API gateway and discover how it enables us to convert Lambda functions into real-time solutions. Finally, we will look at AppSyncs incredible real-time support for web and mobile applications
As cloud becomes the ‘new normal’ for digital ‘breakouts’ from enterprises and startups, many are asking how they can accelerate cloud adoption within their large estate of existing business applications.
This session covers how AWS has utilised their own key tenets to provide an approach to cloud adoption and migration, designed to address the key challenges of ‘enterprise-inertia’ and enable our enterprise customers to benefit from cloud in a secure, reliable and cost effective way, operating within appropriate enterprise controls.
Generational Shifts and customer expectations has greatly changed the way insurance works, affecting insurer's channel, product and brand strategies. New players ike virtual insurers are getting ahead in the game. In this session, Bowtie, the first virtual insurer in Hong Kong will dive deep into how they leverage the AWS cloud technologies to build a new operations model, accelerate their business and minimize capital investment.
Previously, ETL meant using proprietary products with commercial databases and users with specialist skills. Learn how to create ETL data pipelines that can securely consume data at scale while using open source technologies and languages to enable your organisation, team, and data.
Speaker: Paul Macey, Big Data Specialist, AWS
Accelerate and Modernise Microsoft Workload Migrations on AWSAmazon Web Services
This document discusses accelerating and modernizing Microsoft workload migrations to AWS. It provides an overview of Microsoft workloads that can run on AWS, optimization levers, and architecture options for licensing and resource consumption. Best practices for migration acceleration and modernization are presented, along with a case study of Guinness World Records' experience migrating to AWS. Resources and programs for getting started with Windows workload migrations on AWS are also outlined.
Build Data Lakes and Analytics on AWS: Patterns and Best PracticesAmazon Web Services
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 Simple Storage Service (Amazon S3), AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon Machine Learning (Amazon ML) services work together to build a successful data lake for various roles, including data scientists and business users.
Speaker: Craig Roach, Solutions Architect, AWS
In this presentation, we will explore three different ways you can build backends for real-time applications. First, we'll examine how to run and scale SignalR and other similar opensource frameworks on AWS using Amazon ElastiCache. Next, we will take a look at the new WebSocket support in API gateway and discover how it enables us to convert Lambda functions into real-time solutions. Finally, we will look at AppSyncs incredible real-time support for web and mobile applications
As cloud becomes the ‘new normal’ for digital ‘breakouts’ from enterprises and startups, many are asking how they can accelerate cloud adoption within their large estate of existing business applications.
This session covers how AWS has utilised their own key tenets to provide an approach to cloud adoption and migration, designed to address the key challenges of ‘enterprise-inertia’ and enable our enterprise customers to benefit from cloud in a secure, reliable and cost effective way, operating within appropriate enterprise controls.
Generational Shifts and customer expectations has greatly changed the way insurance works, affecting insurer's channel, product and brand strategies. New players ike virtual insurers are getting ahead in the game. In this session, Bowtie, the first virtual insurer in Hong Kong will dive deep into how they leverage the AWS cloud technologies to build a new operations model, accelerate their business and minimize capital investment.
Previously, ETL meant using proprietary products with commercial databases and users with specialist skills. Learn how to create ETL data pipelines that can securely consume data at scale while using open source technologies and languages to enable your organisation, team, and data.
Speaker: Paul Macey, Big Data Specialist, AWS
Accelerate and Modernise Microsoft Workload Migrations on AWSAmazon Web Services
This document discusses accelerating and modernizing Microsoft workload migrations to AWS. It provides an overview of Microsoft workloads that can run on AWS, optimization levers, and architecture options for licensing and resource consumption. Best practices for migration acceleration and modernization are presented, along with a case study of Guinness World Records' experience migrating to AWS. Resources and programs for getting started with Windows workload migrations on AWS are also outlined.
Learn about data lifecycle best practices in the AWS Cloud. Discover how to optimise performance and lower the costs of data ingestion, staging, storage, cleansing, analytics, visualisation, and archiving.
Resiliency and Availability Design Patterns for the CloudAmazon Web Services
We have traditionally built robust software systems by trying to avoid mistakes and by dodging failures when they occur in production or by testing parts of the system in isolation from one another. Modern methods and techniques take a very different approach based on resiliency, which promotes embracing failure instead of trying to avoid it. Resilient architectures enhance observability, leverage well-known patterns such as graceful degradation, timeouts and circuit breakers but also new patterns like cell-based architecture and shuffle sharding. In this session, will review the most useful patterns for building resilient software systems and especially show the audience how they can benefit from the patterns.
The document discusses Enexis' migration journey to AWS. It provides background on Enexis' previous IT environment and challenges, including an outsourced and inefficient process. It then outlines Enexis' goals for the migration, including being ready for energy industry changes, reliability, cost reduction, and accelerating the energy transition. The solution involved building a Cloud Native Architecture Platform (CNAP) on AWS to automate processes and provide protection against mistakes.
Big Data on AWS - To infinity and beyond! - Tel Aviv Summit 2018Amazon Web Services
A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it's readily available to be categorized, processed, analyzed and consumed by diverse groups within an organization.
In this session, we will introduce the Data Lake concept and its implementation on AWS.
We will explain the different roles our services play and how they fit into the Data Lake picture.
Security is top priority at AWS. All Amazon Web Services (AWS) customers benefit from a data center and network architecture built to satisfy the requirements of the most security-sensitive organizations. In this session, Ryan Jaeger, senior solutions architect and security specialist, AWS, will discuss the four common challenges that CISOs and their security teams struggle with and why cybersecurity is becoming a driving force behind commercial cloud adoption. We will also share best practices and learnings from our customers on additional security measures organizations should explore to meet regulatory and compliance requirements and safeguard their environment.
Starting your cloud journey - AWSomeDay IsraelBoaz Ziniman
Understand the values your organization can get from the cloud is the first step in your cloud transformation journey.
We will share best practices for getting started with Cloud Computing and not only from the technical perspective (culture change and gains, building teams, business case, project selection and more). Join us for this session and Let's Start your Cloud journey.
This document summarizes an AWS seminar presentation on AI and machine learning services. It discusses AWS's mission to put machine learning in the hands of every developer and data scientist. It provides an overview of AWS machine learning application services like Amazon Rekognition, Polly, Lex, and Translate. It also covers AWS machine learning platform services like Amazon SageMaker and deep learning frameworks. Finally, it discusses AWS machine learning infrastructure services like EC2 P3 instances, the Deep Learning AMI, and AWS DeepLens.
Amazon Web Services (AWS) provides on-demand computing solutions and services in the cloud with pay-as-you-go pricing. This session unlocks a foundational understanding of the cloud. What is cloud computing and its advantages? Learn more about types of cloud computing and the differences between On Premises services versus Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Dive into how AWS capacity matches your organizational demand, charges only for what you use, offers lower costs due to economies of scale, and provides service from a vendor versed in running large-scale networks. Learn about AWS services and infrastructure – including AWS regions and Availability Zones – and trace the evolution of AWS since its early beginnings. Uncover how constant innovation at AWS empowers customers to transform their own organizations.
The document discusses open data on AWS. It provides an overview of how shared data on the cloud can accelerate research. AWS cares about open data because its customers supply and use data shared on AWS. Sharing data in the cloud allows data users to spend more time analyzing data rather than acquiring it. The AWS Public Datasets registry allows finding satellite imagery, elevation data, transportation data and more that are shared publicly. Examples show environmental monitoring, flood forecasting, and optimizing ship navigation using open data on AWS.
This document discusses streaming data and real-time analytics. It covers:
1) Streaming data is characterized by its low latency, continuous, ordered, and incremental nature with high volumes. Common uses include IoT, log analytics, and smart home/city applications.
2) ABN AMRO developed a Customer Event Store to handle growing volumes of customer event data from various sources in real-time, replacing their batch-driven data warehouse. It uses services like Kinesis and Step Functions.
3) Technologies like Kinesis, Kinesis Data Firehose, Kinesis Data Analytics and Flink allow ingesting, processing, and analyzing streaming data in real-time for applications like predictive analytics and recommendations.
This document summarizes a seminar for AWS partners about the UK government's G-Cloud procurement framework. It includes presentations on an overview of G-Cloud, tips for successful submissions, how AWS partners can leverage G-Cloud, and common myths about the framework. AWS representatives discuss the resources and support they can provide partners for the upcoming G-Cloud 12 application process, including a partner pack to aid submissions. The seminar aims to help partners understand G-Cloud and maximize their chances of winning business through the framework.
Which Internet of Things (IoT) network or platform will make the most of your data - now and in the long run? How do you keep your data secure in this connected world? Find out in our webinar, which tackles the infrastructure decisions that come with creating a smart place.
AWS Summit Milano 2019 - Creare e gestire Data Lake e Data Warehouses - Giorgio Nobile, Solutions Architect, AWS | Francesco Marelli, Solutions Architect, AWS | Cliente: THRON
Introducing the New Features of AWS Greengrass (IOT365) - AWS re:Invent 2018Amazon Web Services
With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.
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.
AWS Webinar Series | Using Virtual Reality to bring your ChatBot to life Amazon Web Services
Chatbots are most commonly used as a feature of mobile or desktop websites, where text is used for the primary interaction method. In this session we’ll explore how you can use Amazon Sumerian to create a virtual host that can be interacted with through Virtual Reality, Augmented Reality or just as a digital character. This makes voice a far more natural interaction method. We’ll also look at how you can extend this bot to interact with other rich services in the AWS cloud.
This webinar was presented by Brent Maxwell in September 2018 as part of the ANZ Webinar Series for Australia and New Zealand.
The document discusses open data on AWS. It provides an overview of open data on AWS, how shared data can accelerate research, and how to find and share data on AWS. Key points include that AWS cares about open data because customers supply public data to accelerate research and use shared data to create new products; sharing data in the cloud allows users to spend more time on analysis than data acquisition; and the registry of open data on AWS can be used to find shared datasets.
Una introduzione alle differenti risorse computazionali disponibili con AWSAmazon Web Services
AWS Summit Milan 2018
Una introduzione alle differenti risorse computazionali disponibili con AWS
Speaker: Alessandro Gambirasio. Sr. Technical Account Manager AWS
Optimizing Storage for Enterprise Workloads and Migrations (STG202) - AWS re:...Amazon Web Services
In this session, we focus on best practices for AWS block and file storage when supporting enterprise workloads (like SAP, Oracle, Microsoft applications, and home directories). We discuss migrating mission-critical workload data, selecting volumes or file systems, optimizing performance, and designing for durability and availability. We also review optimizing for cost to ensure that your lift-and-shift project is a success.
Learn about data lifecycle best practices in the AWS Cloud. Discover how to optimise performance and lower the costs of data ingestion, staging, storage, cleansing, analytics, visualisation, and archiving.
Resiliency and Availability Design Patterns for the CloudAmazon Web Services
We have traditionally built robust software systems by trying to avoid mistakes and by dodging failures when they occur in production or by testing parts of the system in isolation from one another. Modern methods and techniques take a very different approach based on resiliency, which promotes embracing failure instead of trying to avoid it. Resilient architectures enhance observability, leverage well-known patterns such as graceful degradation, timeouts and circuit breakers but also new patterns like cell-based architecture and shuffle sharding. In this session, will review the most useful patterns for building resilient software systems and especially show the audience how they can benefit from the patterns.
The document discusses Enexis' migration journey to AWS. It provides background on Enexis' previous IT environment and challenges, including an outsourced and inefficient process. It then outlines Enexis' goals for the migration, including being ready for energy industry changes, reliability, cost reduction, and accelerating the energy transition. The solution involved building a Cloud Native Architecture Platform (CNAP) on AWS to automate processes and provide protection against mistakes.
Big Data on AWS - To infinity and beyond! - Tel Aviv Summit 2018Amazon Web Services
A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it's readily available to be categorized, processed, analyzed and consumed by diverse groups within an organization.
In this session, we will introduce the Data Lake concept and its implementation on AWS.
We will explain the different roles our services play and how they fit into the Data Lake picture.
Security is top priority at AWS. All Amazon Web Services (AWS) customers benefit from a data center and network architecture built to satisfy the requirements of the most security-sensitive organizations. In this session, Ryan Jaeger, senior solutions architect and security specialist, AWS, will discuss the four common challenges that CISOs and their security teams struggle with and why cybersecurity is becoming a driving force behind commercial cloud adoption. We will also share best practices and learnings from our customers on additional security measures organizations should explore to meet regulatory and compliance requirements and safeguard their environment.
Starting your cloud journey - AWSomeDay IsraelBoaz Ziniman
Understand the values your organization can get from the cloud is the first step in your cloud transformation journey.
We will share best practices for getting started with Cloud Computing and not only from the technical perspective (culture change and gains, building teams, business case, project selection and more). Join us for this session and Let's Start your Cloud journey.
This document summarizes an AWS seminar presentation on AI and machine learning services. It discusses AWS's mission to put machine learning in the hands of every developer and data scientist. It provides an overview of AWS machine learning application services like Amazon Rekognition, Polly, Lex, and Translate. It also covers AWS machine learning platform services like Amazon SageMaker and deep learning frameworks. Finally, it discusses AWS machine learning infrastructure services like EC2 P3 instances, the Deep Learning AMI, and AWS DeepLens.
Amazon Web Services (AWS) provides on-demand computing solutions and services in the cloud with pay-as-you-go pricing. This session unlocks a foundational understanding of the cloud. What is cloud computing and its advantages? Learn more about types of cloud computing and the differences between On Premises services versus Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Dive into how AWS capacity matches your organizational demand, charges only for what you use, offers lower costs due to economies of scale, and provides service from a vendor versed in running large-scale networks. Learn about AWS services and infrastructure – including AWS regions and Availability Zones – and trace the evolution of AWS since its early beginnings. Uncover how constant innovation at AWS empowers customers to transform their own organizations.
The document discusses open data on AWS. It provides an overview of how shared data on the cloud can accelerate research. AWS cares about open data because its customers supply and use data shared on AWS. Sharing data in the cloud allows data users to spend more time analyzing data rather than acquiring it. The AWS Public Datasets registry allows finding satellite imagery, elevation data, transportation data and more that are shared publicly. Examples show environmental monitoring, flood forecasting, and optimizing ship navigation using open data on AWS.
This document discusses streaming data and real-time analytics. It covers:
1) Streaming data is characterized by its low latency, continuous, ordered, and incremental nature with high volumes. Common uses include IoT, log analytics, and smart home/city applications.
2) ABN AMRO developed a Customer Event Store to handle growing volumes of customer event data from various sources in real-time, replacing their batch-driven data warehouse. It uses services like Kinesis and Step Functions.
3) Technologies like Kinesis, Kinesis Data Firehose, Kinesis Data Analytics and Flink allow ingesting, processing, and analyzing streaming data in real-time for applications like predictive analytics and recommendations.
This document summarizes a seminar for AWS partners about the UK government's G-Cloud procurement framework. It includes presentations on an overview of G-Cloud, tips for successful submissions, how AWS partners can leverage G-Cloud, and common myths about the framework. AWS representatives discuss the resources and support they can provide partners for the upcoming G-Cloud 12 application process, including a partner pack to aid submissions. The seminar aims to help partners understand G-Cloud and maximize their chances of winning business through the framework.
Which Internet of Things (IoT) network or platform will make the most of your data - now and in the long run? How do you keep your data secure in this connected world? Find out in our webinar, which tackles the infrastructure decisions that come with creating a smart place.
AWS Summit Milano 2019 - Creare e gestire Data Lake e Data Warehouses - Giorgio Nobile, Solutions Architect, AWS | Francesco Marelli, Solutions Architect, AWS | Cliente: THRON
Introducing the New Features of AWS Greengrass (IOT365) - AWS re:Invent 2018Amazon Web Services
With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.
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.
AWS Webinar Series | Using Virtual Reality to bring your ChatBot to life Amazon Web Services
Chatbots are most commonly used as a feature of mobile or desktop websites, where text is used for the primary interaction method. In this session we’ll explore how you can use Amazon Sumerian to create a virtual host that can be interacted with through Virtual Reality, Augmented Reality or just as a digital character. This makes voice a far more natural interaction method. We’ll also look at how you can extend this bot to interact with other rich services in the AWS cloud.
This webinar was presented by Brent Maxwell in September 2018 as part of the ANZ Webinar Series for Australia and New Zealand.
The document discusses open data on AWS. It provides an overview of open data on AWS, how shared data can accelerate research, and how to find and share data on AWS. Key points include that AWS cares about open data because customers supply public data to accelerate research and use shared data to create new products; sharing data in the cloud allows users to spend more time on analysis than data acquisition; and the registry of open data on AWS can be used to find shared datasets.
Una introduzione alle differenti risorse computazionali disponibili con AWSAmazon Web Services
AWS Summit Milan 2018
Una introduzione alle differenti risorse computazionali disponibili con AWS
Speaker: Alessandro Gambirasio. Sr. Technical Account Manager AWS
Optimizing Storage for Enterprise Workloads and Migrations (STG202) - AWS re:...Amazon Web Services
In this session, we focus on best practices for AWS block and file storage when supporting enterprise workloads (like SAP, Oracle, Microsoft applications, and home directories). We discuss migrating mission-critical workload data, selecting volumes or file systems, optimizing performance, and designing for durability and availability. We also review optimizing for cost to ensure that your lift-and-shift project is a success.
This document provides an overview of Amazon Web Services (AWS) and cloud computing. It discusses key AWS services like Amazon Elastic Compute Cloud (EC2) for virtual servers, Simple Storage Service (S3) for object storage, Relational Database Service (RDS) for databases, Lambda for serverless computing, and others. It also explains the benefits of AWS like flexibility, global infrastructure, and pay-as-you-go pricing.
Introducing AWS DataSync - Simplify, automate, and accelerate online data tra...Amazon Web Services
SFTP is used for the exchange of data across many industries, including financial services, healthcare, and retail. In this session, we will introduce you to AWS Transfer for SFTP, a service that helps you easily migrate file transfer workflows to AWS, without needing to modify applications or manage SFTP servers. We will demonstrate the product and talk about how to migrate your users so they continue to use their existing SFTP clients and credentials, while the data they access is stored in S3. You will also learn how FINRA is using this new service in conjunction with their Data Lake on AWS.N/A
The document outlines an AWS technical essentials training module on infrastructure. It describes the five modules that will be covered: AWS introduction and history, AWS infrastructure including compute, storage and networking services, security, identity and access management, databases, and AWS elasticity and management tools. It provides details on the first module which gives an overview of AWS history and services.
As the volume and types of data continues to grow, customers often have valuable data that is not easily discoverable and available for analytics. A common challenge for data engineering teams is architecting a data lake that can cater to the needs of diverse users - from developers to business analysts to data scientists. In this session, dive deep into building a data lake using Amazon S3, Amazon Kinesis, Amazon Athena and AWS Glue. Learn how AWS Glue crawlers can automatically discover your data, extracting and cataloguing relevant metadata to reduce operations in preparing your data for downstream consumers.
This document provides an overview of hybrid cloud solutions on AWS. It discusses key hybrid cloud use cases like integrated identity and access, data integration, and cloud bursting. It also describes AWS services that support hybrid architectures, like VPC, Direct Connect, Storage Gateway and EC2 Systems Manager. Finally, it presents examples of how large customers like John Deere and Kellogg's implement hybrid solutions with AWS.
How UCSD Simplified Data Protection with Rubrik and AWS (STG207-S) - AWS re:I...Amazon Web Services
Are you dealing with legacy system complexities when integrating your backup and recovery solution with the cloud? Rubrik can help you simplify data protection with its policy-based backup, recovery, and archival capabilities for hybrid applications. In this session, learn how University of California San Diego (UCSD) leverages Rubrik and AWS to help simplify data protection, achieve rapid data recovery, and scale for data growth. Join us to learn how UCSD replaced expensive and unreliable backup tapes with AWS storage, and how to move data to AWS and protect your cloud-native workloads running on AWS. This session is brought to you by AWS partner, Rubrik.
Speaker: Diaa Radwan, AWS
Level: 300
When migrating applications to the AWS Cloud, it’s important to architect cloud environments that are efficient, secure, and compliant. AWS now offers the simple services of data and applications migration. In this session, we explore ways to cost-effectively reinvent disaster recovery so it can extend to applications and workloads as first steps for migration to AWS cloud. We discuss customer use cases and review the different applications they used with our data migration services to cut their IT expenditures and management time on hardware and backup solutions.
This presentation covers AWS foundational services such as Amazon EC2, Amazon S3 and Amazon RDS as well as an introduction to AWS deployment tools and techniques and the next steps that you can take to continue developing your knowledge.
Introduction to Hybrid Cloud on AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Understand Hybrid Cloud architecture options
- Understand AWS portfolio of capabilities to support Hybrid Cloud
- Understand AWS partnerships with VMWare, Microsoft and other key enterprise players help you execute your Hybrid Cloud strategy
Deep Dive: Building Hybrid Cloud Storage Architectures with AWS Storage Gatew...Amazon Web Services
Are you tired of the treadmill of deploying on-premises storage? Join this session to learn how to use AWS Storage Gateway to shift storage for on-premises apps to the cloud, reducing your infrastructure and management challenges. Storage Gateway connects your apps to AWS storage services, including Amazon S3, using standard block, file and tape storage protocols. You can use Storage Gateway for hybrid cloud use cases for file-based application data storage, backup, analytics with data lakes, machine learning (ML), and migration. Learn about best practices from a customer using Storage Gateway for Microsoft SQL Server data protection.
Amazon infrastructure services (Amazon EC2, Amazon S3, Amazon EBS, and Amazon VPC) form the backbone platform for hundreds of thousands of AWS customers. In this hands-on workshop we will take you to walk through these infrastructure services and how you can use them to match capacity and costs requirement. This hands-on workshop is designed to combine best practices with the sharing of practical implementation experience.
The document discusses cloud computing concepts and Amazon Web Services (AWS). It defines cloud computing as the on-demand delivery of computing resources over the internet. The key advantages of cloud computing include replacing capital expenses with variable expenses and benefiting from economies of scale. It describes the three cloud computing models (IaaS, PaaS, SaaS) and three deployment models (all-in cloud, hybrid, private cloud). AWS is introduced as a cloud platform offering over 165 services across categories like compute, storage, databases, analytics and more. The document concludes by mentioning the AWS Cloud Adoption Framework.
Better, Faster, Cheaper – Cost Optimizing Compute with Amazon EC2 Fleet #savi...Amazon Web Services
Amazon EC2 Fleet makes it easier than ever to grow your compute capacity and enable new types of cloud computing applications while maintaining the lowest TCO by blending EC2 Spot, On-Demand and RI purchase models. In this session, learn how to use the power of EC2 Fleet with AWS services such as Auto Scaling, ECS, EKS, EMR, Batch, Thinkbox Deadline and Opsworks to programmatically optimize costs while maintaining high performance and availability – all without breaking a sweat. We will dive deep into cost optimization patterns for workloads like containers, web services, CI/CD, batch, big data, rendering and more.
The document discusses various methods and services for migrating IT infrastructure and applications to AWS. It describes common drivers for migration like data center consolidation and cost reduction. It then covers foundational capabilities needed for migration like establishing a cloud center of excellence and landing zone. Specific AWS migration services are outlined, including AWS Application Discovery Service for inventorying on-premises environments and AWS Server Migration Service for migrating VMs to AWS. AWS Database Migration Service is also introduced for database migrations.
Building Hybrid Cloud Storage Architectures with AWS @scaleAmazon Web Services
The document discusses building hybrid cloud storage architectures with AWS. It provides an overview of AWS storage services including Amazon S3, Glacier, EBS, and EFS. It also describes the AWS Storage Gateway family of on-premises appliances that enable hybrid storage between on-premises and AWS cloud storage. Specifically, it covers the File Gateway for accessing S3 storage as files, Volume Gateway for iSCSI volumes, and Tape Gateway for migrating tape backups to S3.
Training Overview:
This free, online training will provide an introduction to the core AWS services for compute, storage, database, and networking. Our AWS technical expert will provide an overview of AWS, sharing key features, use cases, best practices, and walk through technical demos. There will be AWS experts available to answer your questions one-on-one.
Who should attend:
Virtual AWSome Day is ideal for IT managers, system engineers, system administrators, and architects who are eager to learn more about AWS cloud computing.
This document summarizes announcements from AWS re:Invent about new and updated AWS storage, compute, database, analytics, networking and security services. Key announcements include new storage classes for Amazon S3 Glacier Deep Archive and Amazon EFS Infrequent Access, performance increases for Amazon EBS volumes, and new managed database services Amazon Timestream and Amazon Quantum Ledger Database. New compute instances like Amazon EC2 C5n and P3dn were also announced.
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.
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.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
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.
Durante i laboratori pratici, gli esperti AWS ti mostrano quali strumenti aiutano a sviluppare le applicazioni Serverless in locale e nel cloud AWS e ti aiuteranno a programmare i prossimi passi per iniziare ad utilizzare questa tecnologia nella tua azienda.
Come costruire un'architettura Serverless nel Cloud AWS
APN Live-AWS Core Services
1. Solution Training for Partners:
Technical Foundations
An Introduction to AWS Services
Osemeke Isibor
Partner Solutions Architect
iosemeke@amazon.com
Hong Kong
July 22, 2019