Amazon EC2 offers a wide variety of compute instances via highly flexible pricing options that are well suited for every use case, including web services, containerized workloads, batch processing, big data, CI/CD, and supercomputing. In this session, learn how you can optimize your workloads running on EC2 for cost and performance, all while handling peak demand. See demos on how to deploy highly-available cost-optimized workloads at scale using EC2 Launch Templates, EC2 Fleet, and EC2 Auto Scaling
Amazon Redshift tips and tricks - Scaling storage and compute - ADB301 - Sant...Amazon Web Services
The document discusses Amazon Redshift scaling and maintenance features. It covers Elastic and Classic resizing to scale compute and storage on demand. It also describes Concurrency Scaling, which automatically adds compute capacity to handle spikes in concurrent queries. Additionally, it discusses new auto-vacuum and auto-analyze features that optimize performance without manual administration.
AWS IoT services - Extract value for industrial applications - SVC205 - Santa...Amazon Web Services
Industry 4.0 is here, and organizations are rapidly automating factory floors, machinery, and production lines. Companies are implementing IoT across industries such as Oil and Gas, Manufacturing, and Agriculture. In this session, we walk you through key use cases for industrial applications, such as predictive maintenance, manufacturing quality, and process monitoring. Along the way, we show how the AWS industrial IoT reference architecture is incorporated to build your industrial application.
CI/CD best practices for building modern applications - MAD301 - Santa Clara ...Amazon Web Services
Continuous integration and continuous delivery (CI/CD) techniques enable teams to increase agility, and quickly release a high-quality product. In this talk, we walk you through best practices for building CI/CD workflows to allow your to manage your serverless and containerized applications. We will cover Infrastructure as Code application models, such as the AWS Serverless Application Model (AWS SAM), as well as how to set up CI/CD release pipelines with AWS CodePipeline and AWS CodeBuild, and we will show you how to automate safer deployments with AWS CodeDeploy.
Modernizing applications with Amazon EKS - MAD304 - Santa Clara AWS Summit.pdfAmazon Web Services
In this session, learn how to easily containerize and migrate existing applications to Amazon Elastic Container Service for Kubernetes (Amazon EKS) without needing to refactor your code or tooling. Amazon EKS makes it easy to deploy, manage, and scale containerized applications using Kubernetes on AWS.
Build accurate training data sets with Amazon SageMaker Ground Truth - AIM302...Amazon Web Services
Successful machine learning (ML) models are built on high-quality training datasets. However, it is often expensive, complicated, and time-consuming to create the training data necessary to build these models. Amazon SageMaker Ground Truth helps you quickly build highly accurate training datasets for ML. SageMaker Ground Truth offers easy access to public and private human labelers, providing them with built-in workflows and interfaces for common labeling tasks. Additionally, SageMaker Ground Truth uses automatic labeling, lowering your labeling costs by up to 70%. In this chalk talk, we dive deep into using SageMaker Ground Truth to build high-quality training datasets.
Amazon EC2 A1 instances, powered by the AWS Graviton processor - CMP303 - San...Amazon Web Services
Amazon EC2 A1 instances are the first EC2 instances powered by Arm-based AWS Graviton processors. They deliver significant cost savings for scale-out and Arm-based applications, such as web servers, containerized microservices, caching fleets, and distributed
Building home security solutions at scale, ft. Comcast - SVC206 - New York AW...Amazon Web Services
IoT applications are rapidly becoming more intelligent, especially when it comes to home security solutions such as entry sensors, motion detectors, home automation, and video monitoring. Combine IoT with serverless video streaming, analysis, and playback, and you have a powerful solution at a scale and price that make business sense. In this session, learn how to build intelligent home security applications using Amazon Kinesis Video Streams and AWS IoT services. We are joined by a representative from Comcast, which migrated to AWS to power their Xfinity Home security cameras and focus on secure storage of video data from customers worldwide.
Developing intelligent robots with AWS RoboMaker - SVC207 - Santa Clara AWS S...Amazon Web Services
Robots are now becoming prevalent in our lives, helping us carry out tedious housework, distribute warehouse inventory, automate manufacturing, and research lunar landscapes. But these applications demand a high level of intelligence and autonomy. Until now, developing, testing, and deploying intelligent robotics applications was difficult and time consuming. AWS RoboMaker is a new cloud robotics service that makes it easy for developers to develop, test, and deploy robotics applications and build intelligent robotics functions using cloud services. In this session we dive into how customers are using AWS RoboMaker to accelerate development timelines and build innovative robotics solutions.
Amazon Redshift tips and tricks - Scaling storage and compute - ADB301 - Sant...Amazon Web Services
The document discusses Amazon Redshift scaling and maintenance features. It covers Elastic and Classic resizing to scale compute and storage on demand. It also describes Concurrency Scaling, which automatically adds compute capacity to handle spikes in concurrent queries. Additionally, it discusses new auto-vacuum and auto-analyze features that optimize performance without manual administration.
AWS IoT services - Extract value for industrial applications - SVC205 - Santa...Amazon Web Services
Industry 4.0 is here, and organizations are rapidly automating factory floors, machinery, and production lines. Companies are implementing IoT across industries such as Oil and Gas, Manufacturing, and Agriculture. In this session, we walk you through key use cases for industrial applications, such as predictive maintenance, manufacturing quality, and process monitoring. Along the way, we show how the AWS industrial IoT reference architecture is incorporated to build your industrial application.
CI/CD best practices for building modern applications - MAD301 - Santa Clara ...Amazon Web Services
Continuous integration and continuous delivery (CI/CD) techniques enable teams to increase agility, and quickly release a high-quality product. In this talk, we walk you through best practices for building CI/CD workflows to allow your to manage your serverless and containerized applications. We will cover Infrastructure as Code application models, such as the AWS Serverless Application Model (AWS SAM), as well as how to set up CI/CD release pipelines with AWS CodePipeline and AWS CodeBuild, and we will show you how to automate safer deployments with AWS CodeDeploy.
Modernizing applications with Amazon EKS - MAD304 - Santa Clara AWS Summit.pdfAmazon Web Services
In this session, learn how to easily containerize and migrate existing applications to Amazon Elastic Container Service for Kubernetes (Amazon EKS) without needing to refactor your code or tooling. Amazon EKS makes it easy to deploy, manage, and scale containerized applications using Kubernetes on AWS.
Build accurate training data sets with Amazon SageMaker Ground Truth - AIM302...Amazon Web Services
Successful machine learning (ML) models are built on high-quality training datasets. However, it is often expensive, complicated, and time-consuming to create the training data necessary to build these models. Amazon SageMaker Ground Truth helps you quickly build highly accurate training datasets for ML. SageMaker Ground Truth offers easy access to public and private human labelers, providing them with built-in workflows and interfaces for common labeling tasks. Additionally, SageMaker Ground Truth uses automatic labeling, lowering your labeling costs by up to 70%. In this chalk talk, we dive deep into using SageMaker Ground Truth to build high-quality training datasets.
Amazon EC2 A1 instances, powered by the AWS Graviton processor - CMP303 - San...Amazon Web Services
Amazon EC2 A1 instances are the first EC2 instances powered by Arm-based AWS Graviton processors. They deliver significant cost savings for scale-out and Arm-based applications, such as web servers, containerized microservices, caching fleets, and distributed
Building home security solutions at scale, ft. Comcast - SVC206 - New York AW...Amazon Web Services
IoT applications are rapidly becoming more intelligent, especially when it comes to home security solutions such as entry sensors, motion detectors, home automation, and video monitoring. Combine IoT with serverless video streaming, analysis, and playback, and you have a powerful solution at a scale and price that make business sense. In this session, learn how to build intelligent home security applications using Amazon Kinesis Video Streams and AWS IoT services. We are joined by a representative from Comcast, which migrated to AWS to power their Xfinity Home security cameras and focus on secure storage of video data from customers worldwide.
Developing intelligent robots with AWS RoboMaker - SVC207 - Santa Clara AWS S...Amazon Web Services
Robots are now becoming prevalent in our lives, helping us carry out tedious housework, distribute warehouse inventory, automate manufacturing, and research lunar landscapes. But these applications demand a high level of intelligence and autonomy. Until now, developing, testing, and deploying intelligent robotics applications was difficult and time consuming. AWS RoboMaker is a new cloud robotics service that makes it easy for developers to develop, test, and deploy robotics applications and build intelligent robotics functions using cloud services. In this session we dive into how customers are using AWS RoboMaker to accelerate development timelines and build innovative robotics solutions.
What's new in Amazon Aurora - ADB204 - Santa Clara AWS Summit.pdfAmazon Web Services
Amazon Aurora is a fully managed MySQL and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. It is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. This session provides an overview of Aurora, explores recently announced features, such as serverless, multi-master, and performance insights, and helps you get started.
Get hands on with AWS DeepRacer & compete in the AWS DeepRacer League - AIM20...Amazon Web Services
The document discusses AWS DeepRacer, which is a 1/18th scale race car that allows developers to get hands-on experience with reinforcement learning. It can be controlled by neural networks developed in the AWS DeepRacer simulator. The simulator allows agents to be trained via reinforcement learning by interacting with a simulated racing environment. Successful models can then be deployed to the physical AWS DeepRacer car to compete in the AWS DeepRacer League global racing competition for prizes.
Train once, deploy anywhere on the cloud and at the edge with Amazon SageMake...Amazon Web Services
Developers spend much time and effort delivering machine learning models that can make fast and accurate predictions in real time. These models become even more critical for edge devices where memory and processing power are constrained. Amazon SageMaker Neo lets developers run and develop models in the most optimized way: train the models once and run them anywhere in the cloud and at the edge. In this chalk talk, we dive deep into Neo and show you how this capability of Amazon SageMaker automatically optimizes models built on TensorFlow, Apache MXNet, PyTorch, and ONNX.
Grid computing in the cloud for Financial Services industry - CMP205-I - New ...Amazon Web Services
This document discusses using cloud computing on AWS for grid computing in the financial services industry. It notes that financial modeling has become more complex, requiring more data and scenarios. On-premises grids often cannot meet these demands due to limited capacity. The cloud provides elastic, on-demand compute resources without large upfront hardware investments. AWS services like EC2, FSx, and Batch allow building scalable HPC clusters that can quickly scale up and down based on demand. Partners like Accenture help financial firms use AWS to perform risk calculations and meet regulatory requirements more cost effectively.
Next generation intelligent data lakes, powered by GraphQL & AWS AppSync - MA...Amazon Web Services
GraphQL is a query language for APIs and a runtime to fulfill these queries, allowing applications to easily connect and access data stored on any type of database technology or API. AWS AppSync provides a powerful and flexible serverless GraphQL API that securely accesses, manipulates, and combines data from multiple sources at any scale, enabling you to build any kind of application on a range of data sources independently of the underlying database technology. In this session, we discuss different use cases where AWS AppSync and GraphQL power next-generation applications. Special guest, Candid Partners, shares how it uses AWS AppSync in its Data Fabric solution to simplify large-scale data management using a GraphQL API to interact with data lakes.
[REPEAT] Optimize your workloads with Amazon EC2 & AMD EPYC - DEM01-R - Santa...Amazon Web Services
Customers are always looking to optimize the performance of their workloads while lowering their cost. With new Amazon EC2 instances powered by AMD EPYC processors, customer can do just that. Join AMD and AWS as they jointly showcase how AMD-powered M5a, R5a, and T3a EC2 instances can save you 10% on infrastructure costs for right-sized workloads. Discover the benefits, use cases, and customer successes of these new instances.
Developing your Cloud Center of Excellence using CloudHealth - DEM04-S - New ...Amazon Web Services
As enterprises transform their business and the way they consume infrastructure, there’s a need for a new organizational unit, a Cloud Center of Excellence (CCoE), to ensure a successful transformation. As the acting center of knowledge, the CCoE is a bridge connecting all departments involved, guiding and accelerating the cloud journey. In this session, we discuss how your CCoE can develop a holistic cloud strategy designed to efficiently scale with your business. We share proven optimization and governance best practices from CloudHealth across RI management, identifying underutilized resources and auto-governing rulesets. This presentation is brought to you by AWS partner, CloudHealth by VMware.
This talk will feature a list of quick-hitting pro tips aimed at improving your day-to-day life as a developer building on AWS. This session will cover tips on: working effectively with the AWS CLI and other third-party CLIs; creating, editing, debugging, and deploying an AWS Lambda-powered serverless application quickly and easily using the new AWS Toolkit; and performing powerful filtering and searches on your structured application logs with Amazon CloudWatch.
Amazon SageMaker: ML for Every Developer and Data Scientist - AIM202 - Anahei...Amazon Web Services
Machine learning (ML) provides innovation for every business. Until recently, developing ML models took time and effort, making it difficult for developers to get started. In this session, we demonstrate how Amazon SageMaker—a fully managed service that enables developers to build, train, and deploy ML models at scale—overcomes these barriers. We review its capabilities across data labeling, model building, model training, tuning, and production hosting. We also discuss the details of the modules within Amazon SageMaker, assisting developers through the steps of the ML workflow.
Enable Agile Development with Amazon Linux WorkSpaces and WorkLink - SVC203 -...Amazon Web Services
Developers today still spend too much time provisioning the resources they need to write code. Additionally, developing mobile and desktop applications for multiple OS and browser platforms slows down application delivery. In this session, we discuss how developers can use AWS end user computing services to save money on developer desktops and simplify application delivery for mobile and desktop applications. We go through best practices for deploying Amazon Linux WorkSpaces for your development teams. We also provide an in-depth discussion on our newest service, Amazon WorkLink, which provides secure access to company websites and web applications.
Managing microservices using AWS App Mesh - MAD302 - Chicago AWS SummitAmazon Web Services
Microservices-based applications offer many advantages over traditional monolithic architectures, particularly in a DevOps and cloud environment, where the benefits become even more evident. But there is some complexity involved in managing what can be hundreds or even thousands of individual services for an enterprise-scale application. In this session, we demonstrate how you can use AWS App Mesh to easily monitor and control microservices running on AWS. We show you how App Mesh standardizes the way in which microservices communicate, giving end-to-end visibility and helping to ensure high availability for your applications.
This session covers best practices, features, and capabilities that users of Microsoft products can leverage in AWS. We emphasize Windows Server, Microsoft SQL Server, Active Directory, and .NET capabilities available and deeply integrated in AWS. With these learnings, you can extend the value of your Microsoft investments, lower total cost of ownership (TCO), and keep users working in familiar environments.
Migliora la disponibilità e le prestazioni delle tue applicazioni con Amazon ...Amazon Web Services
AWS Summit Milano 2019 - Migliora la disponibilità e le prestazioni delle tue applicazioni con Amazon Global Network - Marco Cagna, Sr. Product Manager, AWS | Cliente: Pegaso Università
Build intelligent applications quickly with AWS AI services - AIM301 - New Yo...Amazon Web Services
How do you build AI applications without machine learning skills? In this workshop, you get hands-on experience using AI tools for text-to-speech, translation, natural language processing, and personalization. You also learn some practical ways to integrate these AI capabilities into common use cases, such as contact center speech analytics, social media analytics, and personalized recommendations. To participate in this workshop, you must have an AWS account. We provide you with credits.
Add intelligence to applications - AIM205 - Santa Clara AWS Summit.pdfAmazon Web Services
1. The document discusses Amazon Web Services machine learning and artificial intelligence services including Amazon Textract, Amazon Transcribe, Amazon Translate, and Amazon Comprehend.
2. It provides examples of how these services can be used to extract text, tables, and forms from documents, transcribe speech, translate languages, and derive insights from text through natural language processing.
3. The document also outlines reference architectures for indexing and searching documents, capturing forms, and extracting insights from text using these AI services.
Building enterprise solutions with blockchain technology - SVC217 - New York ...Amazon Web Services
This document discusses building enterprise solutions with blockchain technology. It begins by explaining the need for ledgers with centralized trust in various industries. It then discusses the challenges of using traditional databases to manage these ledgers. Amazon Quantum Ledger Database (QLDB) and Amazon Managed Blockchain are introduced as new blockchain services that address these challenges by providing fully managed ledgers and blockchain networks. Common use cases for these services are also outlined.
Mythical Mysfits - Build & collaborate on a modern web application on AWS - M...Amazon Web Services
In this workshop, learn how to deploy a fully functional web application on AWS. We show you how to use the AWS services that enable you focus on writing code without needing to manage underlying infrastructure. We use services such as AWS Fargate, AWS Lambda, and Amazon DynamoDB to build and deploy a web application on AWS, connect the application to a backend database, and capture and analyze data on user behavior. To participate, you need a laptop (Mac or PC), an AWS account with administrator-level access, and an active GitHub account.
Running Amazon Elastic Compute Cloud (Amazon EC2) workloads at scale - CMP202...Amazon Web Services
Amazon EC2 Fleet makes it easy to optimize compute performance and cost by blending Amazon EC2 Spot, On-Demand, and Reserved Instances purchasing models. In this session, we learn how to use the power of Amazon EC2 Fleet with AWS services such as AWS Auto Scaling, Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Container Service for Kubernetes (Amazon EKS), Amazon EMR, AWS Batch, AWS Thinkbox Deadline, and AWS OpsWorks to programmatically optimize costs while maintaining high performance and availability. We also discuss cost-optimization patterns for workloads such as containers, web services, CI/CD, and big data.
Running Amazon EC2 workloads at scale - CMP301 - New York AWS SummitAmazon Web Services
Amazon EC2 Fleet makes it easy to optimize compute performance and cost by blending EC2 Spot, On-Demand, and RI purchasing models. In this session, learn how to use the power of EC2 Fleet with AWS services, such as AWS Auto Scaling, Amazon ECS, Amazon EKS, Amazon EMR, AWS Batch, AWS Thinkbox Deadline, and AWS OpsWorks, to programmatically optimize costs while maintaining high performance and availability. We also cover cost optimization patterns for workloads such as containers, web services, CI/CD, and big data.
What's new in Amazon Aurora - ADB204 - Santa Clara AWS Summit.pdfAmazon Web Services
Amazon Aurora is a fully managed MySQL and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. It is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. This session provides an overview of Aurora, explores recently announced features, such as serverless, multi-master, and performance insights, and helps you get started.
Get hands on with AWS DeepRacer & compete in the AWS DeepRacer League - AIM20...Amazon Web Services
The document discusses AWS DeepRacer, which is a 1/18th scale race car that allows developers to get hands-on experience with reinforcement learning. It can be controlled by neural networks developed in the AWS DeepRacer simulator. The simulator allows agents to be trained via reinforcement learning by interacting with a simulated racing environment. Successful models can then be deployed to the physical AWS DeepRacer car to compete in the AWS DeepRacer League global racing competition for prizes.
Train once, deploy anywhere on the cloud and at the edge with Amazon SageMake...Amazon Web Services
Developers spend much time and effort delivering machine learning models that can make fast and accurate predictions in real time. These models become even more critical for edge devices where memory and processing power are constrained. Amazon SageMaker Neo lets developers run and develop models in the most optimized way: train the models once and run them anywhere in the cloud and at the edge. In this chalk talk, we dive deep into Neo and show you how this capability of Amazon SageMaker automatically optimizes models built on TensorFlow, Apache MXNet, PyTorch, and ONNX.
Grid computing in the cloud for Financial Services industry - CMP205-I - New ...Amazon Web Services
This document discusses using cloud computing on AWS for grid computing in the financial services industry. It notes that financial modeling has become more complex, requiring more data and scenarios. On-premises grids often cannot meet these demands due to limited capacity. The cloud provides elastic, on-demand compute resources without large upfront hardware investments. AWS services like EC2, FSx, and Batch allow building scalable HPC clusters that can quickly scale up and down based on demand. Partners like Accenture help financial firms use AWS to perform risk calculations and meet regulatory requirements more cost effectively.
Next generation intelligent data lakes, powered by GraphQL & AWS AppSync - MA...Amazon Web Services
GraphQL is a query language for APIs and a runtime to fulfill these queries, allowing applications to easily connect and access data stored on any type of database technology or API. AWS AppSync provides a powerful and flexible serverless GraphQL API that securely accesses, manipulates, and combines data from multiple sources at any scale, enabling you to build any kind of application on a range of data sources independently of the underlying database technology. In this session, we discuss different use cases where AWS AppSync and GraphQL power next-generation applications. Special guest, Candid Partners, shares how it uses AWS AppSync in its Data Fabric solution to simplify large-scale data management using a GraphQL API to interact with data lakes.
[REPEAT] Optimize your workloads with Amazon EC2 & AMD EPYC - DEM01-R - Santa...Amazon Web Services
Customers are always looking to optimize the performance of their workloads while lowering their cost. With new Amazon EC2 instances powered by AMD EPYC processors, customer can do just that. Join AMD and AWS as they jointly showcase how AMD-powered M5a, R5a, and T3a EC2 instances can save you 10% on infrastructure costs for right-sized workloads. Discover the benefits, use cases, and customer successes of these new instances.
Developing your Cloud Center of Excellence using CloudHealth - DEM04-S - New ...Amazon Web Services
As enterprises transform their business and the way they consume infrastructure, there’s a need for a new organizational unit, a Cloud Center of Excellence (CCoE), to ensure a successful transformation. As the acting center of knowledge, the CCoE is a bridge connecting all departments involved, guiding and accelerating the cloud journey. In this session, we discuss how your CCoE can develop a holistic cloud strategy designed to efficiently scale with your business. We share proven optimization and governance best practices from CloudHealth across RI management, identifying underutilized resources and auto-governing rulesets. This presentation is brought to you by AWS partner, CloudHealth by VMware.
This talk will feature a list of quick-hitting pro tips aimed at improving your day-to-day life as a developer building on AWS. This session will cover tips on: working effectively with the AWS CLI and other third-party CLIs; creating, editing, debugging, and deploying an AWS Lambda-powered serverless application quickly and easily using the new AWS Toolkit; and performing powerful filtering and searches on your structured application logs with Amazon CloudWatch.
Amazon SageMaker: ML for Every Developer and Data Scientist - AIM202 - Anahei...Amazon Web Services
Machine learning (ML) provides innovation for every business. Until recently, developing ML models took time and effort, making it difficult for developers to get started. In this session, we demonstrate how Amazon SageMaker—a fully managed service that enables developers to build, train, and deploy ML models at scale—overcomes these barriers. We review its capabilities across data labeling, model building, model training, tuning, and production hosting. We also discuss the details of the modules within Amazon SageMaker, assisting developers through the steps of the ML workflow.
Enable Agile Development with Amazon Linux WorkSpaces and WorkLink - SVC203 -...Amazon Web Services
Developers today still spend too much time provisioning the resources they need to write code. Additionally, developing mobile and desktop applications for multiple OS and browser platforms slows down application delivery. In this session, we discuss how developers can use AWS end user computing services to save money on developer desktops and simplify application delivery for mobile and desktop applications. We go through best practices for deploying Amazon Linux WorkSpaces for your development teams. We also provide an in-depth discussion on our newest service, Amazon WorkLink, which provides secure access to company websites and web applications.
Managing microservices using AWS App Mesh - MAD302 - Chicago AWS SummitAmazon Web Services
Microservices-based applications offer many advantages over traditional monolithic architectures, particularly in a DevOps and cloud environment, where the benefits become even more evident. But there is some complexity involved in managing what can be hundreds or even thousands of individual services for an enterprise-scale application. In this session, we demonstrate how you can use AWS App Mesh to easily monitor and control microservices running on AWS. We show you how App Mesh standardizes the way in which microservices communicate, giving end-to-end visibility and helping to ensure high availability for your applications.
This session covers best practices, features, and capabilities that users of Microsoft products can leverage in AWS. We emphasize Windows Server, Microsoft SQL Server, Active Directory, and .NET capabilities available and deeply integrated in AWS. With these learnings, you can extend the value of your Microsoft investments, lower total cost of ownership (TCO), and keep users working in familiar environments.
Migliora la disponibilità e le prestazioni delle tue applicazioni con Amazon ...Amazon Web Services
AWS Summit Milano 2019 - Migliora la disponibilità e le prestazioni delle tue applicazioni con Amazon Global Network - Marco Cagna, Sr. Product Manager, AWS | Cliente: Pegaso Università
Build intelligent applications quickly with AWS AI services - AIM301 - New Yo...Amazon Web Services
How do you build AI applications without machine learning skills? In this workshop, you get hands-on experience using AI tools for text-to-speech, translation, natural language processing, and personalization. You also learn some practical ways to integrate these AI capabilities into common use cases, such as contact center speech analytics, social media analytics, and personalized recommendations. To participate in this workshop, you must have an AWS account. We provide you with credits.
Add intelligence to applications - AIM205 - Santa Clara AWS Summit.pdfAmazon Web Services
1. The document discusses Amazon Web Services machine learning and artificial intelligence services including Amazon Textract, Amazon Transcribe, Amazon Translate, and Amazon Comprehend.
2. It provides examples of how these services can be used to extract text, tables, and forms from documents, transcribe speech, translate languages, and derive insights from text through natural language processing.
3. The document also outlines reference architectures for indexing and searching documents, capturing forms, and extracting insights from text using these AI services.
Building enterprise solutions with blockchain technology - SVC217 - New York ...Amazon Web Services
This document discusses building enterprise solutions with blockchain technology. It begins by explaining the need for ledgers with centralized trust in various industries. It then discusses the challenges of using traditional databases to manage these ledgers. Amazon Quantum Ledger Database (QLDB) and Amazon Managed Blockchain are introduced as new blockchain services that address these challenges by providing fully managed ledgers and blockchain networks. Common use cases for these services are also outlined.
Mythical Mysfits - Build & collaborate on a modern web application on AWS - M...Amazon Web Services
In this workshop, learn how to deploy a fully functional web application on AWS. We show you how to use the AWS services that enable you focus on writing code without needing to manage underlying infrastructure. We use services such as AWS Fargate, AWS Lambda, and Amazon DynamoDB to build and deploy a web application on AWS, connect the application to a backend database, and capture and analyze data on user behavior. To participate, you need a laptop (Mac or PC), an AWS account with administrator-level access, and an active GitHub account.
Running Amazon Elastic Compute Cloud (Amazon EC2) workloads at scale - CMP202...Amazon Web Services
Amazon EC2 Fleet makes it easy to optimize compute performance and cost by blending Amazon EC2 Spot, On-Demand, and Reserved Instances purchasing models. In this session, we learn how to use the power of Amazon EC2 Fleet with AWS services such as AWS Auto Scaling, Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Container Service for Kubernetes (Amazon EKS), Amazon EMR, AWS Batch, AWS Thinkbox Deadline, and AWS OpsWorks to programmatically optimize costs while maintaining high performance and availability. We also discuss cost-optimization patterns for workloads such as containers, web services, CI/CD, and big data.
Running Amazon EC2 workloads at scale - CMP301 - New York AWS SummitAmazon Web Services
Amazon EC2 Fleet makes it easy to optimize compute performance and cost by blending EC2 Spot, On-Demand, and RI purchasing models. In this session, learn how to use the power of EC2 Fleet with AWS services, such as AWS Auto Scaling, Amazon ECS, Amazon EKS, Amazon EMR, AWS Batch, AWS Thinkbox Deadline, and AWS OpsWorks, to programmatically optimize costs while maintaining high performance and availability. We also cover cost optimization patterns for workloads such as containers, web services, CI/CD, and big data.
EC2 Foundations Autoscaling - The tip of the cost optimisation icebergAmazon Web Services
This session covers the latest Amazon EC2 features and capabilities, including new instance families available in Amazon EC2, the Amazon EC2 Nitro system architecture, the differences among their hardware types and capabilities, and their optimal use cases. We also cover best practices on how to optimize your expenditure on Amazon EC2 to make the most of your EC2 instances, saving you time and money.
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.
Building well architected .NET applications - SVC209 - Atlanta AWS SummitAmazon Web Services
Customers have a wide range of choices for designing and deploying .NET applications on AWS. In this session, we discuss key points for designing and building .NET applications using the AWS Well-Architected Framework. The AWS Well-Architected Framework provides a consistent approach for customers to build secure, high-performing, resilient, and efficient infrastructure that scales with your needs over time. We cover traditional .NET application architectures, .NET CI/CD architectures, and modern .NET architectures that leverage containers and serverless technologies on AWS.
This document discusses building well-architected .NET applications on AWS. It introduces the AWS Well-Architected Framework and its pillars of security, reliability, performance efficiency, cost optimization, and operational excellence. It covers hosting options for .NET applications like virtual machines, containers, and serverless. It also discusses modernization strategies like rehosting, replatforming, and refactoring workloads to AWS.
Running Amazon EC2 Workloads at Scale (CMP402-R1) - AWS re:Invent 2018Amazon Web Services
Join this workshop to get hands-on with the latest Amazon EC2 features, including EC2 Fleet, EC2 Fleet integration with EC2 Auto Scaling, and EC2 Launch Templates. Learn how to utilize EC2 Launch Templates to power and deploy an EC2 Auto Scaling group using a combination of EC2 On-Demand and EC2 Spot Instances behind a load balancer. You also get the opportunity to configure the workload to handle peak demand, all while optimizing cost and performance. All attendees must bring their own laptop (Windows, macOS, and Linux all supported). Tablets are not appropriate. We also recommend having the current version of Chrome or Firefox installed.
Accelerating product development with high performance computing - CMP301 - S...Amazon Web Services
The document discusses using AWS for high performance computing (HPC). It describes how Amazon dogfooded an HPC cluster on AWS to run simulations for product development. This showed the benefits of AWS's flexible, scalable infrastructure for HPC workloads. The document outlines the various AWS services that can be used to build HPC solutions, including compute, storage, automation, and data analytics tools. It also provides examples of how Amazon simplified their HPC cluster management and optimized costs when running simulations on AWS.
Getting Started with ARM-Based EC2 A1 Instances - CMP302 - Anaheim AWS SummitAmazon Web Services
This document outlines a workshop on getting started with ARM-based EC2 instances. It discusses setting up prerequisites like an AWS account and Cloud9 IDE. It will explore creating and running a standard web app on both x86 and ARM processors using services like CloudFormation, CodeBuild, CodeCommit, CodeDeploy, and CodePipeline. The document also provides an overview of Amazon EC2 A1 instances powered by AWS Graviton processors and the ARM software ecosystem supported. Finally, it discusses concepts like microservices, DevOps, and continuous delivery/deployment.
Optimize costs - Migrate existing workloads to the new A1 EC2 Instances - CMP...Amazon Web Services
In this workshop, attendees build a DevOps pipeline for deploying a data-driven web application to AWS and explore options for optimizing operational costs. Over the course of this workshop, you will use the AWS Cloud9 IDE and AWS CodeStar services to build and deploy an ASP.NET Core web application that uses a database backend to store catalog data. We first deploy the application on Amazon EC2 instances based on x86 CPUs against a Microsoft SQL Server database. We explore options for customers to optimize operational costs by up to 45% when redeploying the same application on Arm-based Amazon EC2 A1 instances running against an Amazon Aurora cluster. Please be sure to bring your laptop.
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.
High performance and cost optimised need not be an oxymoron in AWS. In this session we will focus on practical ways to build efficient, high performance architectures. We will focus on how to pick the most appropriate service and resources, understand trade-offs, and reduce costs over time.
Running Enterprise Test/Dev on Amazon EC2 Spot Instances (CMP407-R1) - AWS re...Amazon Web Services
This document discusses using Amazon EC2 Spot Instances for test and development workloads. It begins with an introduction to EC2 Spot Instances and their cost benefits. It then explores using Spot Instances for various test and development use cases like builds, testing, and load testing. It provides tips for handling interruptions and using EC2 Fleet to launch a diversified set of Spot Instances. The presentation was scheduled for November 29th at 1:00 PM.
AWS Compute Evolved Week: Cost Optimize EC2 with Amazon EC2 Spot InstancesAmazon Web Services
AWS Compute Evolved Week at the San Francisco Loft: Cost Optimize EC2 with Amazon EC2 Spot Instances
Join this workshop to get hands-on experience deploying a web app on Amazon EC2 Spot Instances. Amazon EC2 Spot instances offer spare compute capacity in the AWS cloud available at steep discounts compared to On-Demand prices. Learn how to deploy an EC2 Spot Fleet behind a load balancer and scale it to handle peak demand with Spot Instances, all while saving up to 90% on your compute costs.
Speaker: Shawn OConnor - Enterprise Solutions Architect, AWS
Supercharge Your Organisation With Machine Learning on AWS - AWS Summit SydneyAmazon Web Services
Learn how our customers are using the breadth and depth of the artificial intelligence and machine learning offerings on AWS to create new business models and optimise existing processes. Whether you're new to machine learning, or wanting to take your capabilities to the next level, you'll learn how AWS helps you to overcome machine learning challenges on a production scale.
In this session, learn how to seamlessly combine Amazon EC2 On-Demand, Spot, and Reserved Instances. Also learn how to use the best practices deployed by customers all over the world for the most common applications and workloads. Discover multiple ways to grow your compute capacity and enable new types of cloud computing applications—without it costing you a lot of money.
Best practices for optimizing your EC2 costs with Spot Instances | AWS Floor28Amazon Web Services
Join this session to learn how AWS customers are using Spot Instances to save up to 90% off On-Demand price when running frontend and web applications, big-data and analytics, Batch and HPC, dev/test, and containerized workloads
What's new in Amazon EC2 - CMP201 - Santa Clara AWS Summit.pdfAmazon Web Services
Amazon EC2 offers a variety of compute instances and is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all with flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, Amazon Lightsail, the differences among their hardware types and capabilities, their optimal use cases, EC2 with Amazon EBS for high performance, and scalable storage attached to your instances for relational and nonrelational databases. We also cover best practices for optimizing your expenditure on EC2 to make the most of your EC2 instances.
Similar to Optimizing Cost and Capacity for Compute - CMP302 - Santa Clara AWS Summit (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.