The cloud has empowered many companies to scale up and serve their users in an efficient and cost effective way. Sometimes starting from zero can be hard. In this slides deck we will review best practices and AWS services that can help you go from 0 to 10 millions users. And we will go even further: we'll explore together how to break the remaining barriers, by making your infrastructure truly global and bringing it closer to your customers.
Move your Desktops and Apps to AWS with Amazon WorkSpaces and AppStream 2 Amazon Web Services
IT organizations today need to support a modern, flexible, global workforce and ensure that their users can be productive anywhere. Moving desktops and applications to the AWS Cloud offers improved security, scale, and performance with cloud economics. In this session, we provide an overview of Amazon WorkSpaces and Amazon AppStream 2.0, and we discuss the use cases for each. Then, we dive deep into best practices for implementing Amazon WorkSpaces and AppStream 2.0, including how to integrate with your existing identity, security, networking, and storage solutions.
With Alexa for Business, you can deploy and manage Alexa devices in your organization. Join us in this session to learn how you can set up an Alexa-enabled conference room and integrate Alexa with your existing equipment. Learn to build Alexa skills, and voice-enable applications such as SalesForce, ServiceNow and Trello. Discover how to build private skills for your organization and deploy them to Alexa devices and users in your workplace. Come and experience Alexa for Business in action, and get some great ideas for transforming your business.
Starting your Cloud Transformation Journey - Tel Aviv Summit 2018Boaz 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.
Secure Your Customers' Data from Day 1: Armando Leite, AWS
All companies, regardless of size, should build with protection of customer data as a top priority. This session will examine how to achieve this through topics including: control responsibilities; the automation of security baselines; the configuration of security; and the auditing of controls for AWS customer infrastructure, operating systems, services and applications. You'll learn key principles of how to build a secure organization and protect your customers data. Don't wait until your first security incident before putting these best practices in place.
BDA301 Working with Machine Learning in Amazon SageMaker: Algorithms, Models,...Amazon Web Services
Amazon SageMaker is a machine learning platform that allows users to build, train, and deploy machine learning models at scale. It provides several components including algorithms, hyperparameter optimization, and tools for building, hosting and deploying models. Users can choose from Amazon's built-in algorithms or bring their own custom algorithms. Models can be trained on Amazon's GPU and CPU instances and deployed for low latency inference.
AWS Fargate makes running containerized workloads on AWS easier than ever before. In this session, we provide a technical foundation for using AWS Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
What are the different options for a developer to run his DB in the Cloud? This session will look into the different options and how to choose the right DB for your workload.
Ionic and React Hybrid Web/Native Mobile Applications with Mobile Hub - AWS O...Amazon Web Services
Learning Objectives:
- Understand the difference between native and hybrid/native mobile applications
- Learn how mobile applications can be built using javascript frameworks
- See AWS Mobile Hub starter kits can accelerate your mobile app development efforts
Move your Desktops and Apps to AWS with Amazon WorkSpaces and AppStream 2 Amazon Web Services
IT organizations today need to support a modern, flexible, global workforce and ensure that their users can be productive anywhere. Moving desktops and applications to the AWS Cloud offers improved security, scale, and performance with cloud economics. In this session, we provide an overview of Amazon WorkSpaces and Amazon AppStream 2.0, and we discuss the use cases for each. Then, we dive deep into best practices for implementing Amazon WorkSpaces and AppStream 2.0, including how to integrate with your existing identity, security, networking, and storage solutions.
With Alexa for Business, you can deploy and manage Alexa devices in your organization. Join us in this session to learn how you can set up an Alexa-enabled conference room and integrate Alexa with your existing equipment. Learn to build Alexa skills, and voice-enable applications such as SalesForce, ServiceNow and Trello. Discover how to build private skills for your organization and deploy them to Alexa devices and users in your workplace. Come and experience Alexa for Business in action, and get some great ideas for transforming your business.
Starting your Cloud Transformation Journey - Tel Aviv Summit 2018Boaz 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.
Secure Your Customers' Data from Day 1: Armando Leite, AWS
All companies, regardless of size, should build with protection of customer data as a top priority. This session will examine how to achieve this through topics including: control responsibilities; the automation of security baselines; the configuration of security; and the auditing of controls for AWS customer infrastructure, operating systems, services and applications. You'll learn key principles of how to build a secure organization and protect your customers data. Don't wait until your first security incident before putting these best practices in place.
BDA301 Working with Machine Learning in Amazon SageMaker: Algorithms, Models,...Amazon Web Services
Amazon SageMaker is a machine learning platform that allows users to build, train, and deploy machine learning models at scale. It provides several components including algorithms, hyperparameter optimization, and tools for building, hosting and deploying models. Users can choose from Amazon's built-in algorithms or bring their own custom algorithms. Models can be trained on Amazon's GPU and CPU instances and deployed for low latency inference.
AWS Fargate makes running containerized workloads on AWS easier than ever before. In this session, we provide a technical foundation for using AWS Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
What are the different options for a developer to run his DB in the Cloud? This session will look into the different options and how to choose the right DB for your workload.
Ionic and React Hybrid Web/Native Mobile Applications with Mobile Hub - AWS O...Amazon Web Services
Learning Objectives:
- Understand the difference between native and hybrid/native mobile applications
- Learn how mobile applications can be built using javascript frameworks
- See AWS Mobile Hub starter kits can accelerate your mobile app development efforts
AWS DeepLens Workshop_Build Computer Vision Applications Amazon Web Services
In this workshop, developers have the opportunity to learn how to build and deploy computer vision models using the AWS DeepLens deep-learning-enabled video camera. By working hands on, developers of all skill levels can explore and build their own deep-learning-powered computer vision applications using Amazon SageMaker and AWS DeepLens devices. Attendees can experiment with different sample projects for face detection, object detection, artistic style transfer, and other machine learning use cases using Apache MXNet. Attendees also learn about use cases that integrate other AWS services that extend the functionality of AWS DeepLens, such as AWS Lambda, Amazon Polly, and Amazon Rekognition.
Learn how to seamlessly combine Amazon EC2 On-Demand, Spot, and Reserved Instances to optimize cost, scale, and performance. Understand best practices used by customers all over the world for the most commonly used applications and workloads. Discover multiple ways to grow your compute capacity, and enable new types of cloud computing applications—without it costing a lot of money.
Introduction to Serverless on AWS - Builders Day JerusalemAmazon Web Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more.
In this session, we will learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers.
Learn to Build a Cloud-Scale Website Powered by Amazon EFS - AWS Online Tech ...Amazon Web Services
Learning Objectives:
- Recognize why and when to use Amazon EFS and the economic benefits versus other solutions
- Understand best practices for deploying WordPress, Drupal, and Magento with Amazon EFS
- Understand best practices to optimize Amazon EFS performance
AWS Technical Day Riyadh Nov 2019 - Scaling threat detection and response in awsAWS Riyadh User Group
The document discusses scaling threat detection and response on AWS. It provides an overview of AWS security services for threat detection such as GuardDuty, Macie, and Security Hub which analyze log data using machine learning. It also discusses tools for threat response including Lambda, Inspector, and Systems Manager. The document outlines an attacker lifecycle and how findings map to stages. It provides examples of automated detection and response playbooks and remediation actions.
Modern data is massive, quickly evolving, unstructured, and increasingly hard to catalog and understand from multiple consumers and applications. This presentation will guide you though the best practices for designing a robust data architecture, highlightning the benefits and typical challenges of data lakes and data warehouses. We will build a scalable solution based on managed services such as Amazon Athena, AWS Glue, and AWS Lake Formation.
The document summarizes sessions from the AWS re:Invent 2018 conference related to digital advertising and machine learning. It provides an index of breakout sessions, chalk talks, and workshops on topics like using Amazon Rekognition for video analysis, global cloud architecture, and real-time targeted advertising. A highlighted session discusses how The Trade Desk has evolved to use AI/ML techniques and another session describes how VidMob leverages Amazon Rekognition for video creative asset production and analysis.
This module will cover cloud computing concepts and AWS global Infrastructure.
• Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console.
• Understand the foundational services, including Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS).
• Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM).
• Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS). • Understand AWS management tools, including Auto Scaling, Amazon CloudWatch, Elastic Load Balancing (ELB), and AWS Trusted Advisor.
Presenters today:
• John Balsillie Senior Technical Trainer, AWS APAC
• Karthik Chandy Senior Technical Trainer, AWS APAC
The document discusses Amazon Certificate Manager (ACM) Private Certificate Authorities (CA), which allow users to manage private CAs and certificates for use on AWS services and internal systems. It provides an overview of features like creating and managing CAs, issuing and revoking certificates, pricing, availability in regions, and integration with services and SDKs. It also compares ACM Private CA to using a public CA or self-managed CA.
Introduction to AI services for Developers - Builders Day IsraelAmazon Web Services
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
SRV327 Replicate, Analyze, and Visualize Data Using Managed Database and Ser...Amazon Web Services
If you have disparate datasets within your data center and on AWS, it can be challenging to manage all of them while you extract and analyze data to drive positive business outcomes. In this workshop, we use AWS managed database services, migration tools, and serverless technologies to replicate, analyze, and visualize data. We replicate an on-premises database to Amazon RDS and Amazon S3 using AWS Database Migration Service and the AWS Schema Conversion Tool. We then use Amazon Athena to interactively analyze data using SQL, and finally, we use Amazon QuickSight to visualize the data to enable better business decisions. For this session, ensure that you have an AWS account set up, and familiarize yourself with the AWS Management Console at least a day before the workshop. You don't need any credit on the account.
Achieving Business Value with AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the business benefits of moving to the AWS platform
- Learn what the commercial levers are that can help you lower your TCO on AWS
- Discover how other enterprises have used these levers
Come scalare da zero ai tuoi primi 10 milioni di utenti.pdfAmazon Web Services
AWS Summit Milano 2018
Come scalare da zero ai tuoi primi 10 milioni di utenti
Speaker: Giorgio Bonfiglio, AWS Technical Account Manager - Enterprise Support
The document discusses how AWS Marketplace allows customers to discover, procure, deploy, and manage software in the AWS cloud. It notes that AWS Marketplace has over 3,800 software listings from more than 1,200 independent software vendors. It also discusses how AWS Marketplace provides value to customers by allowing them to rapidly deploy software on a pay-as-you-go basis, easily procure software, and tie software costs to actual usage.
SRV309 AWS Purpose-Built Database Strategy: The Right Tool for the Right JobAmazon Web Services
In this session, Shawn Bice, VP of NoSQL and QuickSight, covers the AWS purpose-built strategy for databases and explains why your application should drive the requirements of a database, not the other way around. We introduce AWS databases that are purpose-built for your application use cases. Learn why you should select different data services to solve different aspects of an application, and watch a demonstration on which application use cases lend themselves well to which data services. If you’re a developer building modern applications that require flexibility and consistent millisecond performance, and you’re trying to determine what relational and non-relational data services to use, this session is for you.
Do you want to ramp up your knowledge of AWS analytics services and launch your first big data application on the cloud? In this session, we walk you through simplifying big data processing as a data bus comprising of ingestion, storage, processing, and visualization. You build a big data application using AWS managed services, including Amazon Athena, Amazon Kinesis, Amazon EMR, AWS Glue, Amazon Redshift, Amazon QuickSight, and Amazon S3. Along the way, we review architecture design patterns for big data applications and give you access to a take-home lab so you can rebuild and customize the application yourself. To get the most from this session, bring your own laptop and have some familiarity with AWS services.
The document discusses best practices for getting started with AWS. It outlines an agenda covering seven best practices and resources for learning more. The best practices section discusses choosing the right initial use case, laying foundations through account structure and identity and access management, thinking about security, viewing AWS as comprised of services rather than software, optimizing costs, and using AWS tools and frameworks.
Horst Junker presented on AWS infrastructure services including Amazon VPC, EC2, and S3. He demonstrated creating a VPC with public subnets, launching a web server EC2 instance into it, and copying a web application from an S3 bucket to the instance. Key points covered included VPC networking, EC2 instance types and metadata, and S3 concepts such as buckets and objects.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us to understand best practices for scaling your resources from one to millions of users. We’ll show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Scaling Up to Your First 10 Million Users (ARC205-R1) - AWS re:Invent 2018Amazon Web Services
Cloud computing provides a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session for best practices on scaling your resources from one to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
AWS DeepLens Workshop_Build Computer Vision Applications Amazon Web Services
In this workshop, developers have the opportunity to learn how to build and deploy computer vision models using the AWS DeepLens deep-learning-enabled video camera. By working hands on, developers of all skill levels can explore and build their own deep-learning-powered computer vision applications using Amazon SageMaker and AWS DeepLens devices. Attendees can experiment with different sample projects for face detection, object detection, artistic style transfer, and other machine learning use cases using Apache MXNet. Attendees also learn about use cases that integrate other AWS services that extend the functionality of AWS DeepLens, such as AWS Lambda, Amazon Polly, and Amazon Rekognition.
Learn how to seamlessly combine Amazon EC2 On-Demand, Spot, and Reserved Instances to optimize cost, scale, and performance. Understand best practices used by customers all over the world for the most commonly used applications and workloads. Discover multiple ways to grow your compute capacity, and enable new types of cloud computing applications—without it costing a lot of money.
Introduction to Serverless on AWS - Builders Day JerusalemAmazon Web Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more.
In this session, we will learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers.
Learn to Build a Cloud-Scale Website Powered by Amazon EFS - AWS Online Tech ...Amazon Web Services
Learning Objectives:
- Recognize why and when to use Amazon EFS and the economic benefits versus other solutions
- Understand best practices for deploying WordPress, Drupal, and Magento with Amazon EFS
- Understand best practices to optimize Amazon EFS performance
AWS Technical Day Riyadh Nov 2019 - Scaling threat detection and response in awsAWS Riyadh User Group
The document discusses scaling threat detection and response on AWS. It provides an overview of AWS security services for threat detection such as GuardDuty, Macie, and Security Hub which analyze log data using machine learning. It also discusses tools for threat response including Lambda, Inspector, and Systems Manager. The document outlines an attacker lifecycle and how findings map to stages. It provides examples of automated detection and response playbooks and remediation actions.
Modern data is massive, quickly evolving, unstructured, and increasingly hard to catalog and understand from multiple consumers and applications. This presentation will guide you though the best practices for designing a robust data architecture, highlightning the benefits and typical challenges of data lakes and data warehouses. We will build a scalable solution based on managed services such as Amazon Athena, AWS Glue, and AWS Lake Formation.
The document summarizes sessions from the AWS re:Invent 2018 conference related to digital advertising and machine learning. It provides an index of breakout sessions, chalk talks, and workshops on topics like using Amazon Rekognition for video analysis, global cloud architecture, and real-time targeted advertising. A highlighted session discusses how The Trade Desk has evolved to use AI/ML techniques and another session describes how VidMob leverages Amazon Rekognition for video creative asset production and analysis.
This module will cover cloud computing concepts and AWS global Infrastructure.
• Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console.
• Understand the foundational services, including Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS).
• Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM).
• Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS). • Understand AWS management tools, including Auto Scaling, Amazon CloudWatch, Elastic Load Balancing (ELB), and AWS Trusted Advisor.
Presenters today:
• John Balsillie Senior Technical Trainer, AWS APAC
• Karthik Chandy Senior Technical Trainer, AWS APAC
The document discusses Amazon Certificate Manager (ACM) Private Certificate Authorities (CA), which allow users to manage private CAs and certificates for use on AWS services and internal systems. It provides an overview of features like creating and managing CAs, issuing and revoking certificates, pricing, availability in regions, and integration with services and SDKs. It also compares ACM Private CA to using a public CA or self-managed CA.
Introduction to AI services for Developers - Builders Day IsraelAmazon Web Services
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
SRV327 Replicate, Analyze, and Visualize Data Using Managed Database and Ser...Amazon Web Services
If you have disparate datasets within your data center and on AWS, it can be challenging to manage all of them while you extract and analyze data to drive positive business outcomes. In this workshop, we use AWS managed database services, migration tools, and serverless technologies to replicate, analyze, and visualize data. We replicate an on-premises database to Amazon RDS and Amazon S3 using AWS Database Migration Service and the AWS Schema Conversion Tool. We then use Amazon Athena to interactively analyze data using SQL, and finally, we use Amazon QuickSight to visualize the data to enable better business decisions. For this session, ensure that you have an AWS account set up, and familiarize yourself with the AWS Management Console at least a day before the workshop. You don't need any credit on the account.
Achieving Business Value with AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the business benefits of moving to the AWS platform
- Learn what the commercial levers are that can help you lower your TCO on AWS
- Discover how other enterprises have used these levers
Come scalare da zero ai tuoi primi 10 milioni di utenti.pdfAmazon Web Services
AWS Summit Milano 2018
Come scalare da zero ai tuoi primi 10 milioni di utenti
Speaker: Giorgio Bonfiglio, AWS Technical Account Manager - Enterprise Support
The document discusses how AWS Marketplace allows customers to discover, procure, deploy, and manage software in the AWS cloud. It notes that AWS Marketplace has over 3,800 software listings from more than 1,200 independent software vendors. It also discusses how AWS Marketplace provides value to customers by allowing them to rapidly deploy software on a pay-as-you-go basis, easily procure software, and tie software costs to actual usage.
SRV309 AWS Purpose-Built Database Strategy: The Right Tool for the Right JobAmazon Web Services
In this session, Shawn Bice, VP of NoSQL and QuickSight, covers the AWS purpose-built strategy for databases and explains why your application should drive the requirements of a database, not the other way around. We introduce AWS databases that are purpose-built for your application use cases. Learn why you should select different data services to solve different aspects of an application, and watch a demonstration on which application use cases lend themselves well to which data services. If you’re a developer building modern applications that require flexibility and consistent millisecond performance, and you’re trying to determine what relational and non-relational data services to use, this session is for you.
Do you want to ramp up your knowledge of AWS analytics services and launch your first big data application on the cloud? In this session, we walk you through simplifying big data processing as a data bus comprising of ingestion, storage, processing, and visualization. You build a big data application using AWS managed services, including Amazon Athena, Amazon Kinesis, Amazon EMR, AWS Glue, Amazon Redshift, Amazon QuickSight, and Amazon S3. Along the way, we review architecture design patterns for big data applications and give you access to a take-home lab so you can rebuild and customize the application yourself. To get the most from this session, bring your own laptop and have some familiarity with AWS services.
The document discusses best practices for getting started with AWS. It outlines an agenda covering seven best practices and resources for learning more. The best practices section discusses choosing the right initial use case, laying foundations through account structure and identity and access management, thinking about security, viewing AWS as comprised of services rather than software, optimizing costs, and using AWS tools and frameworks.
Horst Junker presented on AWS infrastructure services including Amazon VPC, EC2, and S3. He demonstrated creating a VPC with public subnets, launching a web server EC2 instance into it, and copying a web application from an S3 bucket to the instance. Key points covered included VPC networking, EC2 instance types and metadata, and S3 concepts such as buckets and objects.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us to understand best practices for scaling your resources from one to millions of users. We’ll show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Scaling Up to Your First 10 Million Users (ARC205-R1) - AWS re:Invent 2018Amazon Web Services
Cloud computing provides a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session for best practices on scaling your resources from one to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
Build Your Own Log Analytics Solutions on AWS (ANT323-R) - AWS re:Invent 2018Amazon Web Services
With Amazon Elasticsearch Service's simplicity comes a multitude of opportunity to use it as a back end for real-time application and infrastructure monitoring. With this wealth of opportunities comes sprawl - developers in your organization are deploying Amazon Elasticsearch Service for many different workloads and many different purposes. Should you centralize into one Amazon Elasticsearch Service domain? What are the tradeoffs in scale and cost? How do you control access to the data and dashboards? How do you structure your indexes - single tenant or multi-tenant? In this session, we'll explore whether, when, and how to centralize logging across your organization to minimize cost and maximize value and learn how Autodesk has built a unified log analytics solution using Amazon Elasticsearch Service.
The document discusses serverless computing using AWS Lambda. It begins with an overview of the evolution from monolithic applications to microservices and containerization. It then covers common use cases for serverless applications including web applications, data processing, chatbots, backends, and IT automation. The document demonstrates AWS Lambda functionality through examples and demos of file processing, stream processing, and using Lambda with Amazon S3 and API Gateway. It also discusses serverless frameworks, pricing and limits of AWS Lambda, and tools for monitoring serverless applications.
Using Big Data Retail to Build a Single View of Your Customer.pdfAmazon Web Services
A key challenge faced by retailers is how to form an integrated single view of their customers across multiple retail channels to better understand purchasing behaviours and patterns. In this session, we’ll present a solution that merges web analytics data with customer purchase history based on AWS API Gateway, Lambda, and S3. Learn how to track customer purchase behaviours across channels to better predict future needs and make relevant, intelligent recommendations.
The document discusses Amazon Elasticsearch Service, which is a fully managed service for deploying and operating Elasticsearch clusters. Key points include:
- It allows deploying a production-ready Elasticsearch cluster within minutes and easily scaling the cluster.
- Data is securely stored within a user's VPC and access can be restricted using IAM policies and security groups.
- The service is tightly integrated with other AWS services to allow for seamless data ingestion, security, monitoring, and orchestration.
Database Week at the San Francisco Loft: Adding Search to DynamoDB
Redis is an open source, in-memory data store that delivers sub-millisecond response times enabling millions of requests per second to power real-time applications. It can be used as a fast database, cache, message broker, and queue. Amazon ElastiCache delivers the ease-of-use and power of Redis along with the availability, reliability, scalability, security, and performance suitable for the most demanding applications. We’ll take a close look at Redis and how to use it to power different use cases.
Speaker: Abhinav Singh - DMS/SCT Support Engineer, AWS
Database Week at the San Francisco Loft
Using Search with a Database
Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more. Amazon Elasticsearch Service is a fully managed service that delivers Elasticsearch’s easy-to-use APIs and real-time analytics capabilities alongside the availability, scalability, and security that production workloads require.
Speakers:
Jon Handler - Principal, Solutions Architect, AWS
Eric Tobin - Solutions Architect, AWS
Lessons Learned from a Large-Scale Legacy Migration with Sysco (STG311) - AWS...Amazon Web Services
Migrating enterprise applications to the cloud requires thorough planning and consideration for a number of variables. Should you move your application to a similar infrastructure in the cloud (in a lift-and-shift scenario)? Or should you refactor your application to take advantage of cloud-native services for object storage, serverless, auto-scaling, and so on? In this session, an AWS expert walks through the ten commandments that enterprises should follow when moving applications to the cloud and refactoring them for optimal performance. Then, a representative of Sysco Corporation, a Fortune 50 company, shares how the company migrated mission-critical legacy business systems and modernized them to take advantage of the AWS Cloud. Learn how the company moved its enterprise purchasing system, which processes millions of dollars in sales daily, to the AWS Cloud while achieving a 60% decrease in run costs. Also discover the lessons learned and highlights of the migration, which resulted in 30% increase in performance, 3x improvement in user accessibility, and a significant decrease in order backlogs and outages.
The document discusses Amazon Web Services (AWS) machine learning and artificial intelligence services that were highlighted at re:Invent 2019. It summarizes new capabilities for Amazon SageMaker such as Ground Truth for data labeling, Reinforcement Learning support, Neo for optimized model deployment, and the AWS Marketplace for Machine Learning. It also discusses Amazon Personalize for recommendations, Forecast for time series forecasting, and Textract for extracting text and data from documents. The document provides an overview of AWS database services including DynamoDB, Timestream, and QLDB. It discusses Amazon Managed Blockchain and new Lambda capabilities like layers and Application Load Balancer targets.
Nearly everything in IT - servers, applications, websites, connected devices, and other things - generate discrete, time-stamped records of events called logs. Processing and analyzing these logs to gain actionable insights is log analytics. We'll look at how to use centralized log analytics across multiple sources with Amazon Elasticsearch Service.
Speakers:
Lex Crosett - Solutions Architect, AWS
David Simcik - Solutions Architect, AWS
What if security became the reason to move an application to the cloud? Historically, security has been a necessary afterthought. Today, with AWS, security is moving from obligation to advantage. Here, you'll get a glimpse of tools and techniques that enterprise customers are using today to secure their AWS environments at scale.
This document provides an overview and introduction to the AWS platform. It describes AWS global infrastructure including regions and availability zones. It discusses key AWS services such as EC2, S3, Lambda, API Gateway, and DynamoDB. It also covers serverless application architecture using these AWS services.
This session will help you to get basic understanding of the AWS platform and discuss the core services of Infrastructure, compute, network and storage components. In addition, we will discuss the higher level managed services that will allow you to focus on your core business and leave the heavy lifting to AWS.
by Amy Che, Sr Solutions Delivery Manager AWS and Marie Yap, Technical Account Manager AWS
AWS Data & Analytics Week is an opportunity to learn about Amazon’s family of managed analytics services. These services provide easy, scalable, reliable, and cost-effective ways to manage your data in the cloud. We explain the fundamentals and take a technical deep dive into Amazon Redshift data warehouse; Data Lake services including Amazon EMR, Amazon Athena, & Amazon Redshift Spectrum; Log Analytics with Amazon Elasticsearch Service; and data preparation and placement services with AWS Glue and Amazon Kinesis. You'll will learn how to get started, how to support applications, and how to scale.
Operational Excellence with Containerized Workloads Using AWS Fargate (CON320...Amazon Web Services
The document discusses operational excellence with containerized workloads using AWS Fargate. It provides an overview of AWS Fargate and how it allows customers to run containerized applications without having to manage Amazon EC2 instances. It then discusses how Fargate provides an elastic and integrated service with the AWS ecosystem. Case studies are also presented of companies like Turner and Corteva Agriscience that have migrated workloads to AWS Fargate to reduce costs and improve agility.
Wild Rydes with Big Data/Kinesis focus: AWS Serverless WorkshopAWS Germany
This is a hands-on workshop where every participant will not only learn how to architect and implement a serverless application on Amazon Web Services using nothing but serverless resources for all layers in theory, but actually do it in practice, with all the necessary support from the speakers. Serverless computing allows you to build and run applications and services without thinking about servers. Serverless applications don't require you to provision, scale, and manage any servers. You can build them for nearly any type of application or backend service, and everything required to run and scale your application with high availability is handled for you. Building serverless applications means that developers can focus on their core product instead of worrying about managing and operating servers or runtimes. This reduced overhead lets developers reclaim time and energy that can be spent on developing great products which scale and that are reliable.
Application Modernization using the Strangler PatternTom Laszewski
Modernization of applications on mainframe and UNIX servers can be challenging because the applications and databases are highly integrated and interdependent. Utilizing the strangler pattern, organizations can break free of legacy debt on mainframe and UNIX systems. This presentations discusses the strangler pattern, and how enterprise customers utilized the pattern to move to AWS serverless services and cloud native architectures.
Nearly everything in IT - servers, applications, websites, connected devices, and other things - generate discrete, time-stamped records of events called logs. Processing and analyzing these logs to gain actionable insights is log analytics. We'll look at how to use centralized log analytics across multiple sources with Amazon Elasticsearch Service.
Level: Intermediate
Speaker: Karan Desai - Solutions Architect, AWS
This document discusses big data and machine learning. It begins by defining big data using the 5 V's: volume, velocity, variety, veracity, and value. It then discusses challenges organizations face with big data, including which tools to use and determining what data they have. The remainder discusses how to gain business value from data through architectures like data lakes, analytics, and machine learning services on AWS. It provides an example of how Netflix evolved its data pipeline and emphasizes agility. Finally, it discusses how machine learning relies on big data and new tools are needed for data scientists.
Similar to Scaling Up To and Beyond 10M Users (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.
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.