Alexa for Business brings a conversational UI to help you simplify your meeting room experience. In this session, learn how you can bring Alexa for Business to your meeting room and integrate it with your existing meeting room systems. In addition, the Amazon IT team discusses best practices, and they describe how they piloted and deployed Alexa for Business in over 800 conference rooms at Amazon.
Three Lessons from “Escape the Room” That Apply to Making Money with Your Ale...Amazon Web Services
Games push the boundaries of tech, enabling us to learn from them for a wide range of use cases. Join Gal Shenar, founder of Stoked Skills, in this talk about designing and implementing Alexa in-skill purchasing for “Escape the Room” and “Escape the Airplane” game skills. Learn about optimizing the user experience by soft launching with live updates and implementing a premium content in-skill purchase gate while monitoring user experience flow to increase conversion rates by using AWS Lambda.
How Verizon is Accelerating Cloud Adoption and Migration with the AWS Service...Amazon Web Services
Many enterprises want to drive faster cloud adoption and time to market (TTM) by allowing their developers, who have various skill sets, to onboard onto AWS quickly using self-service. However, enabling security, governance, and compliance while not compromising user experience can be a challenge. In this session, Verizon demonstrates how they use the AWS Service Catalog Connector for ServiceNow to create a robust self-service computing environment while meeting Verizon’s governance and security controls and achieving their goal of migrating > 30% of their applications onto AWS in a short timeframe.
In this session, learn from market-leader Vonage how and why they re-architected their QoS-sensitive, highly available and highly performant legacy real-time communications systems to take advantage of Amazon EC2, Enhanced Networking, Amazon S3, ASG, Amazon RDS, Amazon ElastiCache, AWS Lambda, StepFunctions, Amazon SNS, Amazon SQS, Amazon Kinesis, Amazon EFS, and more. We also learn how Aspect, a multinational leader in call center solutions, used AWS Lambda, Amazon API Gateway, Amazon Kinesis, Amazon ElastiCache, Amazon Cognito, and Application Load Balancer with open-source API development tooling from Swagger, to build a comprehensive, microservices-based solution. Vonage and Aspect share their journey to TCO optimization, global outreach, and agility with best practices and insights.
Build a Voice-Based Chatbot for Your Amazon Connect Contact Center (BAP401-R1...Amazon Web Services
Learn how easy it is to incorporate a voice-based Amazon Lex chatbot into your Amazon Connect contact center. In this workshop, we walk you through configuring your own Amazon Connect contact center, implementing a chatbot, and using it in your workflows to deliver a personalized voice-based caller experience. You also have the opportunity to further personalize caller experiences by using AWS Lambda to access caller information from your customer data system. Leave this workshop with a functioning Amazon Connect contact center and a voice-enabled chatbot that you can continually modify to your business needs. Come prepared to build by bringing your laptop and a phone to make test calls.
Securing Data in Serverless Applications and Messaging Services (API317-R2) -...Amazon Web Services
This document discusses securing data in serverless applications and messaging services. It covers authentication using IAM users, roles and groups. It also covers authorization using identity-based and resource-based policies. Additionally, it discusses encrypting messages in transit using HTTPS and at rest using server-side encryption with AWS KMS customer master keys and data encryption keys. It provides examples of policies for Amazon SNS topics, SQS queues and KMS customer master keys.
Listen to Your Customers' Social Voice & Engage Them with Delightful Experien...Amazon Web Services
In this session, we demonstrate how to easily deploy an AWS solution that ingests all Tweets from any Twitter handle, uses Amazon Comprehend to generate a sentiment score, and then automatically engages customers with a personalized message. The intended audience includes developers and marketers who want to leverage AWS to create powerful user engagement scenarios. We highlight how quickly a machine-learning marketing solution can be deployed. We cover the AWS services Amazon Pinpoint, a digital user engagement service, and Amazon Comprehend, a natural language processing service that uses artificial intelligence and machine learning to find insights and relationships in text.
Build a Searchable Media Library & Moderate Content at Scale Using Machine Le...Amazon Web Services
Companies have to process, analyze, and extract meaning from ever-growing volumes of audio, image, and video data. Automating media workflows, such as image and video indexing or manual transcription for closed captions, can help you scale the growth of your media library and save time from manual, error-prone work. In this workshop, you learn how to automate workflows using the Media Analysis Solution, which includes Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. You learn how to extract metadata from media files and create a searchable library of metadata.
Enhancing Media Workflows with Machine Learning (MAE303) - AWS re:Invent 2018Amazon Web Services
AI/ML is changing the way media companies produce and distribute content. In this workshop, we review many of the ways AI/ML can be applied throughout the entire media production and distribution process. We build an end-to-end metadata enrichment workflow that extracts meaningful metadata from content (audio, video, and images). We then build a solution that uses Amazon Rekognition, Amazon SageMaker, Amazon Transcribe, Amazon Comprehend, and Amazon Mechanical Turk to analyze content, and we use it to enrich a viewing experience and assist with compliance. We also build and train a custom object detection model, which will be used to augment the data that Amazon Rekognition provides. We cover all aspects of AI/ML-based metadata generation, from labeling a dataset, to training and hosting a model, all the way to validating the metadata prior to playout.
Three Lessons from “Escape the Room” That Apply to Making Money with Your Ale...Amazon Web Services
Games push the boundaries of tech, enabling us to learn from them for a wide range of use cases. Join Gal Shenar, founder of Stoked Skills, in this talk about designing and implementing Alexa in-skill purchasing for “Escape the Room” and “Escape the Airplane” game skills. Learn about optimizing the user experience by soft launching with live updates and implementing a premium content in-skill purchase gate while monitoring user experience flow to increase conversion rates by using AWS Lambda.
How Verizon is Accelerating Cloud Adoption and Migration with the AWS Service...Amazon Web Services
Many enterprises want to drive faster cloud adoption and time to market (TTM) by allowing their developers, who have various skill sets, to onboard onto AWS quickly using self-service. However, enabling security, governance, and compliance while not compromising user experience can be a challenge. In this session, Verizon demonstrates how they use the AWS Service Catalog Connector for ServiceNow to create a robust self-service computing environment while meeting Verizon’s governance and security controls and achieving their goal of migrating > 30% of their applications onto AWS in a short timeframe.
In this session, learn from market-leader Vonage how and why they re-architected their QoS-sensitive, highly available and highly performant legacy real-time communications systems to take advantage of Amazon EC2, Enhanced Networking, Amazon S3, ASG, Amazon RDS, Amazon ElastiCache, AWS Lambda, StepFunctions, Amazon SNS, Amazon SQS, Amazon Kinesis, Amazon EFS, and more. We also learn how Aspect, a multinational leader in call center solutions, used AWS Lambda, Amazon API Gateway, Amazon Kinesis, Amazon ElastiCache, Amazon Cognito, and Application Load Balancer with open-source API development tooling from Swagger, to build a comprehensive, microservices-based solution. Vonage and Aspect share their journey to TCO optimization, global outreach, and agility with best practices and insights.
Build a Voice-Based Chatbot for Your Amazon Connect Contact Center (BAP401-R1...Amazon Web Services
Learn how easy it is to incorporate a voice-based Amazon Lex chatbot into your Amazon Connect contact center. In this workshop, we walk you through configuring your own Amazon Connect contact center, implementing a chatbot, and using it in your workflows to deliver a personalized voice-based caller experience. You also have the opportunity to further personalize caller experiences by using AWS Lambda to access caller information from your customer data system. Leave this workshop with a functioning Amazon Connect contact center and a voice-enabled chatbot that you can continually modify to your business needs. Come prepared to build by bringing your laptop and a phone to make test calls.
Securing Data in Serverless Applications and Messaging Services (API317-R2) -...Amazon Web Services
This document discusses securing data in serverless applications and messaging services. It covers authentication using IAM users, roles and groups. It also covers authorization using identity-based and resource-based policies. Additionally, it discusses encrypting messages in transit using HTTPS and at rest using server-side encryption with AWS KMS customer master keys and data encryption keys. It provides examples of policies for Amazon SNS topics, SQS queues and KMS customer master keys.
Listen to Your Customers' Social Voice & Engage Them with Delightful Experien...Amazon Web Services
In this session, we demonstrate how to easily deploy an AWS solution that ingests all Tweets from any Twitter handle, uses Amazon Comprehend to generate a sentiment score, and then automatically engages customers with a personalized message. The intended audience includes developers and marketers who want to leverage AWS to create powerful user engagement scenarios. We highlight how quickly a machine-learning marketing solution can be deployed. We cover the AWS services Amazon Pinpoint, a digital user engagement service, and Amazon Comprehend, a natural language processing service that uses artificial intelligence and machine learning to find insights and relationships in text.
Build a Searchable Media Library & Moderate Content at Scale Using Machine Le...Amazon Web Services
Companies have to process, analyze, and extract meaning from ever-growing volumes of audio, image, and video data. Automating media workflows, such as image and video indexing or manual transcription for closed captions, can help you scale the growth of your media library and save time from manual, error-prone work. In this workshop, you learn how to automate workflows using the Media Analysis Solution, which includes Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. You learn how to extract metadata from media files and create a searchable library of metadata.
Enhancing Media Workflows with Machine Learning (MAE303) - AWS re:Invent 2018Amazon Web Services
AI/ML is changing the way media companies produce and distribute content. In this workshop, we review many of the ways AI/ML can be applied throughout the entire media production and distribution process. We build an end-to-end metadata enrichment workflow that extracts meaningful metadata from content (audio, video, and images). We then build a solution that uses Amazon Rekognition, Amazon SageMaker, Amazon Transcribe, Amazon Comprehend, and Amazon Mechanical Turk to analyze content, and we use it to enrich a viewing experience and assist with compliance. We also build and train a custom object detection model, which will be used to augment the data that Amazon Rekognition provides. We cover all aspects of AI/ML-based metadata generation, from labeling a dataset, to training and hosting a model, all the way to validating the metadata prior to playout.
Build a Game for Echo Buttons - an Alexa Gadget! (ALX405-R2) - AWS re:Invent ...Amazon Web Services
Games are an integral part of our lives, and they enable us to build more creatively on every platform. In this session, we talk about bringing your IP to Alexa and engaging with players on tens of millions of Alexa devices. Participate in this interactive session, and learn how to build a game that incorporates gaming-friendly Alexa Gadgets called Echo Buttons. This session is aimed at advanced developers who have previously built Alexa skills. Bring your laptop. Also be sure to have an AWS account and credentials for the Amazon Developer Portal.
Build, Train, and Deploy ML Models Quickly and Easily with Amazon SageMaker, ...Amazon Web Services
Amazon SageMaker is a fully managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker takes away the heavy lifting of machine learning, thus removing the typical barriers associated with machine learning. In this session, we'll dive deep into the technical details of each of the modules of Amazon SageMaker to showcase the capabilities of the platform. We also discuss the practical deployments of Amazon SageMaker through real-world customer examples.
Have Your Front End and Monitor It, Too (ANT303) - AWS re:Invent 2018Amazon Web Services
Amazon Elasticsearch Service (Amazon ES) is both a search solution and a log monitoring solution. In this session, we address both. We build a front-end, PHP web server that provides a search experience on movie data as well as backend monitoring to send Apache web logs, syslogs, and application logs to Amazon ES. We tune the relevance for the search experience and build Kibana visualizations for the log data. In addition, we use security best practices and deploy everything into a VPC.
Manage IoT Devices throughout Their Lifecycle - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how key features of AWS IoT Device Management work including remote management of devices, fine-grained device logging, fleet indexing and search, and fast onboarding of devices in bulk
- See how AWS IoT Device Management works with AWS Greengrass
- Understand how to get started with AWS IoT Device Management using the AWS Console
Unleash the Power of Temporary AWS Credentials (a.k.a. IAM roles) (SEC390-R1)...Amazon Web Services
The document discusses AWS Identity and Access Management (IAM) roles, which allow granting temporary security credentials to users, applications, and AWS services. IAM roles provide a secure way to delegate access and are easy to manage. The presentation covers when and how to use IAM roles, including for cross-account access, granting least privilege access, and enabling AWS services to access resources. It also provides examples of using IAM roles for EC2 instances and with AWS Secrets Manager.
Architectures for Gaining Data Insights into Your Contact Center Experience (...Amazon Web Services
Join us for a deep dive into using Amazon Kinesis Data Analytics for insight into what's happening with the contacts and agents in your Amazon Connect contact center. Learn how to leverage AWS analytics and ML services to inspect, transform, and gain insight into the customer’s journey through your contact center. We also show you how to use Alexa for Business to receive timely voice-activated business intelligence on your contact center’s performance.
Deep Dive on Amazon S3 Storage Classes: Creating Cost Efficiencies across You...Amazon Web Services
"Amazon S3 supports a range of storage classes that can help you cost-effectively store data without impacting performance or availability. Each of our storage classes offer different data-access levels, retrieval times, and costs to support various use cases. In this session, Amazon S3 experts dive deep into the different Amazon S3 storage classes, their respective attributes, and when you should use them.
"
Continuous Compliance for Modern Application Pipelines (GPSWS402) - AWS re:In...Amazon Web Services
In this workshop, you learn how to build compliance into your CI/CD pipeline. Take a list of real-world HIPAA and PCI requirements, and build a continuous deployment pipeline that ensures compliance and best-practices architecture using AWS services such as AWS CodeStar, AWS Config, Amazon Inspector, AWS X-Ray, AWS Lambda, Amazon S3, AWS Glue, and more. You also have the opportunity to write custom AWS Config rules and ensure that your application is proactively compliant in your builds.
Training your engineers and developers the right way can increase the pace of adoption, cloud migration, and the delivery of business benefits. In this session, we discuss proven steps for training your technical teams so that you can use the AWS Cloud securely, efficiently, and effectively. We also review structural mechanisms to help scale your organization’s capacity to operate a cloud-based IT environment.
This document discusses orchestrating AWS Lambda functions with AWS Step Functions. It begins with an overview of serverless applications and the need for coordination between functions. It then introduces AWS Step Functions as a way to visually define, manage, and coordinate functions through state machines. Key features of Step Functions include different state types, input/output processing, error handling, integration with other AWS services, and serverless pricing. Overall, Step Functions allows for building, scaling, and evolving serverless applications in a reliable way.
Getting Started with AWS Greengrass (IOT215-R3) - AWS re:Invent 2018Amazon Web Services
The document discusses setting up a development environment for AWS Greengrass. It includes creating a certificate authority to provision an AWS Greengrass core and running the AWS Greengrass service on the core. The agenda also covers reviewing the just-in-time provisioning architecture and provisioning an AWS Greengrass core.
Lessons Learned from Building an AWS Service on AWS Lambda (SRV327-R1) - AWS ...Amazon Web Services
Get a behind-the-scenes look at how an AWS service team builds and operates the production APIs and services that power the AWS Serverless Application Repository. In this session, we discuss best practices and lessons learned from building and operating a completely serverless backend. Learn tips for managing serverless development projects, building APIs, processing streaming data, and monitoring production applications for a service built with more than 200 Lambda functions.
What's New with the AWS CLI (DEV322-R1) - AWS re:Invent 2018Amazon Web Services
The document discusses the development of the AWS CLI version 2. It notes that the AWS CLI is a unified tool for managing AWS services that has grown significantly since its initial 1.0 release in 2013. Version 2 is being actively developed on GitHub with a focus on improved configuration, interactive wizards to help users complete tasks, and autocompletion features to make the CLI easier to use. Feedback from customers will help shape the future direction of the AWS CLI.
Building an Augmented Reality Owner's Manual (AMT315) - AWS re:Invent 2018Amazon Web Services
Car buyers demand more experiences from their vehicles than ever before. But as our vehicles adopt more advanced features, customers find it difficult to understand how to use them, resulting in low utilization. You can address this challenge using an interactive owner’s manual, providing customers with a visual, accessible way of understanding the features of their vehicles. In this session, we walk through the process of building an augmented reality vehicle owner’s manual application, combining augmented reality with Amazon Sumerian, voice interfaces using Amazon Lex and Amazon Polly, and underlying data provided by AWS IoT. Attendees walk away with an understanding of how to build an augmented reality interface to complement the physical controls of the vehicle cockpit.
Broadcasting the World's Largest Sporting Events: AWS Media Services When It ...Amazon Web Services
Learn how TV New Zealand and France Television broadcast the Commonwealth Games and a major cycling event using AWS Media Services. Broadcasting live events is unpredictable. Reliability, agility, and scale all play important roles in ensuring a broadcast takes place without issues. Learn how to create channels on the fly for live events and how to seamlessly handle a fluctuation or influx of viewers using AWS Elemental MediaLive, AWS Elemental MediaPackage, and Amazon CloudFront.
Secure your AWS Account and your Organization's Accounts Amazon Web Services
The cloud enables users to run workloads more securely than they could in a traditional data center. However, customers are still not sure how to harden their AWS accounts and resources in order to enforce compliance. Consistency around governance can also be a concern when large customers have multiple accounts. In this session, we show you how to use automation, tools, and techniques to harden and audit your AWS account as well as how to leverage AWS Organizations to ensure compliance in your enterprise.
Alexa for Device Makers: Create Products with Alexa Built-In Using AVS (ALX30...Amazon Web Services
In this hands-on workshop, learn how to use Alexa Built-In to create products that you can talk to and use to access music, information, control smart-home devices, and all of Alexa's skills. We use the C++-based AVS Device SDK and a Raspberry Pi to access the cloud-based Alexa Voice Service (AVS). Leave this session with your own working prototype and the knowledge to bring your products to market.
Social Media Analytics using Amazon QuickSight - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Connect to AWS and non-AWS data sources
- Prepare data by joining tables, using SQL queries, adding calculated fields, changing field names and data types, and other techniques
- Create charts and graphs with various chart types and filtering capabilities
Protecting Amazon EC2 Instances, Relational Databases, and NoSQL Workloads (S...Amazon Web Services
For many IT professionals, cloud data protection can be challenging. In this session, we explore options for protecting and restoring your Amazon EC2 instances, relational databases, and NoSQL databases, such as MongoDB and Cassandra. We show you how solutions such as Rubrik Cloud Data Management and Rubrik Datos IO augment your Amazon EC2 backup strategy, including lifecycle management of Amazon EBS snapshots and Amazon Machine Images (AMI), automation and simplification of Amazon EBS volume and file-level restores from Amazon EBS snapshots, and application-consistent backup and recovery for Oracle, Microsoft SQL Server, MongoDB, and Cassandra databases on Amazon EC2. This session is brought to you by AWS partner, Rubrik.
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.
Build a Next-Gen Meeting Room Experience Using Alexa for Business - SVC203 - ...Amazon Web Services
Alexa for Business brings a conversational UI to help you simplify your meeting room experience. In this session, learn how to bring Alexa for Business to your meeting room and integrate it with your existing meeting room systems. Also learn how to build skills using Alexa for Business Blueprints to enhance your meeting room experience.
Build a Game for Echo Buttons - an Alexa Gadget! (ALX405-R2) - AWS re:Invent ...Amazon Web Services
Games are an integral part of our lives, and they enable us to build more creatively on every platform. In this session, we talk about bringing your IP to Alexa and engaging with players on tens of millions of Alexa devices. Participate in this interactive session, and learn how to build a game that incorporates gaming-friendly Alexa Gadgets called Echo Buttons. This session is aimed at advanced developers who have previously built Alexa skills. Bring your laptop. Also be sure to have an AWS account and credentials for the Amazon Developer Portal.
Build, Train, and Deploy ML Models Quickly and Easily with Amazon SageMaker, ...Amazon Web Services
Amazon SageMaker is a fully managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker takes away the heavy lifting of machine learning, thus removing the typical barriers associated with machine learning. In this session, we'll dive deep into the technical details of each of the modules of Amazon SageMaker to showcase the capabilities of the platform. We also discuss the practical deployments of Amazon SageMaker through real-world customer examples.
Have Your Front End and Monitor It, Too (ANT303) - AWS re:Invent 2018Amazon Web Services
Amazon Elasticsearch Service (Amazon ES) is both a search solution and a log monitoring solution. In this session, we address both. We build a front-end, PHP web server that provides a search experience on movie data as well as backend monitoring to send Apache web logs, syslogs, and application logs to Amazon ES. We tune the relevance for the search experience and build Kibana visualizations for the log data. In addition, we use security best practices and deploy everything into a VPC.
Manage IoT Devices throughout Their Lifecycle - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how key features of AWS IoT Device Management work including remote management of devices, fine-grained device logging, fleet indexing and search, and fast onboarding of devices in bulk
- See how AWS IoT Device Management works with AWS Greengrass
- Understand how to get started with AWS IoT Device Management using the AWS Console
Unleash the Power of Temporary AWS Credentials (a.k.a. IAM roles) (SEC390-R1)...Amazon Web Services
The document discusses AWS Identity and Access Management (IAM) roles, which allow granting temporary security credentials to users, applications, and AWS services. IAM roles provide a secure way to delegate access and are easy to manage. The presentation covers when and how to use IAM roles, including for cross-account access, granting least privilege access, and enabling AWS services to access resources. It also provides examples of using IAM roles for EC2 instances and with AWS Secrets Manager.
Architectures for Gaining Data Insights into Your Contact Center Experience (...Amazon Web Services
Join us for a deep dive into using Amazon Kinesis Data Analytics for insight into what's happening with the contacts and agents in your Amazon Connect contact center. Learn how to leverage AWS analytics and ML services to inspect, transform, and gain insight into the customer’s journey through your contact center. We also show you how to use Alexa for Business to receive timely voice-activated business intelligence on your contact center’s performance.
Deep Dive on Amazon S3 Storage Classes: Creating Cost Efficiencies across You...Amazon Web Services
"Amazon S3 supports a range of storage classes that can help you cost-effectively store data without impacting performance or availability. Each of our storage classes offer different data-access levels, retrieval times, and costs to support various use cases. In this session, Amazon S3 experts dive deep into the different Amazon S3 storage classes, their respective attributes, and when you should use them.
"
Continuous Compliance for Modern Application Pipelines (GPSWS402) - AWS re:In...Amazon Web Services
In this workshop, you learn how to build compliance into your CI/CD pipeline. Take a list of real-world HIPAA and PCI requirements, and build a continuous deployment pipeline that ensures compliance and best-practices architecture using AWS services such as AWS CodeStar, AWS Config, Amazon Inspector, AWS X-Ray, AWS Lambda, Amazon S3, AWS Glue, and more. You also have the opportunity to write custom AWS Config rules and ensure that your application is proactively compliant in your builds.
Training your engineers and developers the right way can increase the pace of adoption, cloud migration, and the delivery of business benefits. In this session, we discuss proven steps for training your technical teams so that you can use the AWS Cloud securely, efficiently, and effectively. We also review structural mechanisms to help scale your organization’s capacity to operate a cloud-based IT environment.
This document discusses orchestrating AWS Lambda functions with AWS Step Functions. It begins with an overview of serverless applications and the need for coordination between functions. It then introduces AWS Step Functions as a way to visually define, manage, and coordinate functions through state machines. Key features of Step Functions include different state types, input/output processing, error handling, integration with other AWS services, and serverless pricing. Overall, Step Functions allows for building, scaling, and evolving serverless applications in a reliable way.
Getting Started with AWS Greengrass (IOT215-R3) - AWS re:Invent 2018Amazon Web Services
The document discusses setting up a development environment for AWS Greengrass. It includes creating a certificate authority to provision an AWS Greengrass core and running the AWS Greengrass service on the core. The agenda also covers reviewing the just-in-time provisioning architecture and provisioning an AWS Greengrass core.
Lessons Learned from Building an AWS Service on AWS Lambda (SRV327-R1) - AWS ...Amazon Web Services
Get a behind-the-scenes look at how an AWS service team builds and operates the production APIs and services that power the AWS Serverless Application Repository. In this session, we discuss best practices and lessons learned from building and operating a completely serverless backend. Learn tips for managing serverless development projects, building APIs, processing streaming data, and monitoring production applications for a service built with more than 200 Lambda functions.
What's New with the AWS CLI (DEV322-R1) - AWS re:Invent 2018Amazon Web Services
The document discusses the development of the AWS CLI version 2. It notes that the AWS CLI is a unified tool for managing AWS services that has grown significantly since its initial 1.0 release in 2013. Version 2 is being actively developed on GitHub with a focus on improved configuration, interactive wizards to help users complete tasks, and autocompletion features to make the CLI easier to use. Feedback from customers will help shape the future direction of the AWS CLI.
Building an Augmented Reality Owner's Manual (AMT315) - AWS re:Invent 2018Amazon Web Services
Car buyers demand more experiences from their vehicles than ever before. But as our vehicles adopt more advanced features, customers find it difficult to understand how to use them, resulting in low utilization. You can address this challenge using an interactive owner’s manual, providing customers with a visual, accessible way of understanding the features of their vehicles. In this session, we walk through the process of building an augmented reality vehicle owner’s manual application, combining augmented reality with Amazon Sumerian, voice interfaces using Amazon Lex and Amazon Polly, and underlying data provided by AWS IoT. Attendees walk away with an understanding of how to build an augmented reality interface to complement the physical controls of the vehicle cockpit.
Broadcasting the World's Largest Sporting Events: AWS Media Services When It ...Amazon Web Services
Learn how TV New Zealand and France Television broadcast the Commonwealth Games and a major cycling event using AWS Media Services. Broadcasting live events is unpredictable. Reliability, agility, and scale all play important roles in ensuring a broadcast takes place without issues. Learn how to create channels on the fly for live events and how to seamlessly handle a fluctuation or influx of viewers using AWS Elemental MediaLive, AWS Elemental MediaPackage, and Amazon CloudFront.
Secure your AWS Account and your Organization's Accounts Amazon Web Services
The cloud enables users to run workloads more securely than they could in a traditional data center. However, customers are still not sure how to harden their AWS accounts and resources in order to enforce compliance. Consistency around governance can also be a concern when large customers have multiple accounts. In this session, we show you how to use automation, tools, and techniques to harden and audit your AWS account as well as how to leverage AWS Organizations to ensure compliance in your enterprise.
Alexa for Device Makers: Create Products with Alexa Built-In Using AVS (ALX30...Amazon Web Services
In this hands-on workshop, learn how to use Alexa Built-In to create products that you can talk to and use to access music, information, control smart-home devices, and all of Alexa's skills. We use the C++-based AVS Device SDK and a Raspberry Pi to access the cloud-based Alexa Voice Service (AVS). Leave this session with your own working prototype and the knowledge to bring your products to market.
Social Media Analytics using Amazon QuickSight - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Connect to AWS and non-AWS data sources
- Prepare data by joining tables, using SQL queries, adding calculated fields, changing field names and data types, and other techniques
- Create charts and graphs with various chart types and filtering capabilities
Protecting Amazon EC2 Instances, Relational Databases, and NoSQL Workloads (S...Amazon Web Services
For many IT professionals, cloud data protection can be challenging. In this session, we explore options for protecting and restoring your Amazon EC2 instances, relational databases, and NoSQL databases, such as MongoDB and Cassandra. We show you how solutions such as Rubrik Cloud Data Management and Rubrik Datos IO augment your Amazon EC2 backup strategy, including lifecycle management of Amazon EBS snapshots and Amazon Machine Images (AMI), automation and simplification of Amazon EBS volume and file-level restores from Amazon EBS snapshots, and application-consistent backup and recovery for Oracle, Microsoft SQL Server, MongoDB, and Cassandra databases on Amazon EC2. This session is brought to you by AWS partner, Rubrik.
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.
Build a Next-Gen Meeting Room Experience Using Alexa for Business - SVC203 - ...Amazon Web Services
Alexa for Business brings a conversational UI to help you simplify your meeting room experience. In this session, learn how to bring Alexa for Business to your meeting room and integrate it with your existing meeting room systems. Also learn how to build skills using Alexa for Business Blueprints to enhance your meeting room experience.
In this workshop, learn how to create a cloud-based business intelligence platform and deliver dynamic insights through a custom Alexa Skill. Together, we architect a data analytics platform using Amazon S3, Amazon Athena, Amazon QuickSight, Amazon DynamoDB, Amazon CloudWatch on the backend, and a voice-based user interface through a private Alexa Skill deployed via Alexa for Business on the front end.
Alexa and AWS IoT, ft. VIZIO (IOT302-R1) - AWS re:Invent 2018Amazon Web Services
The document discusses Vizio's use of Alexa and AWS IoT to enable voice control of their SmartCast devices. It describes how Vizio uses AWS services like IoT, Lambda, and DynamoDB to build their voice and IoT capabilities. It also provides an overview of developing skills for Alexa using the Alexa Skills Kit and AWS services and explains how Vizio leveraged these tools to add voice control to their SmartCast devices and services.
Introduction to Serverless computing and AWS Lambda - Floor28Boaz Ziniman
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 using AWS Lambda, which lets you run code without provisioning or managing servers.
Introduction to Serverless computing and AWS Lambda | AWS Floor28Amazon 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 using AWS Lambda, which lets you run code without provisioning or managing servers.
NEW LAUNCH! Building Smart Conference Rooms with Alexa for Business - BAP309 ...Amazon Web Services
Alexa for Business allows you to use Alexa-enabled devices to transform your conference rooms. Using simple voice skills, you can control the conference room environment, start online meetings, turn on video projectors, and more. In thiAlexa for Business allows you to use Alexa-enabled devices to transform your conference rooms. Using simple voice skills, you can control the conference room environment, start online meetings, turn on video projectors, and more. In this session, we'll walk through the Alexa-enabled conference room, and show you how you can use Alexa for Business to specify device locations, connect to conference room calendars, and provide access to meeting-specific skills. session, we'll walk through the Alexa-enabled conference room, and show you how you can use Alexa for Business to specify device locations, connect to conference room calendars, and provide access to meeting-specific skills.
AWS Webinar - Learn how and why to build conversational chatbots Amazon Web Services
Chatbots give customers fast, easy access to information and free customer service agents from mundane, repetitive tasks. Coupled with Amazon Connect, a simple to use, cloud-based contact centre, chatbots can help you innovate your customer service model quickly and cost effectively. But what is the most effective mix of live agent, chatbot, web and mobile interactions for your business? In this short 45-minute webinar, you will learn how, when and why to use chatbots. First, we show you how easy it is to build a new Amazon Connect contact centre. Then we’ll use Amazon Lex to build an intelligent conversational chatbot which is integrated with your new Amazon Connect contact centre workflows. The outcome - a chatbot that offers personalized and dynamic caller experiences.
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.
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.
Amazon WorkSpaces for Regulated Industries (BAP211) - AWS re:Invent 2018Amazon Web Services
In this session, we discuss how customers in regulated industries like government, finance, and life sciences can use Amazon WorkSpaces to help meet security and regulatory compliance requirements for user applications and devices. Organizations who have to deal with various regulatory and security requirements (such as HIPAA, PCI, ITAR, and FedRAMP) have to consider how and where their users access applications and store data. In this session, we discuss how Amazon WorkSpaces can help you meet these unique requirements and help provide users throughout your organization with secure, fast access to desktop applications and data.
The document discusses Amazon Web Services products for building conversational interfaces including Amazon Lex, Lambda, and Connect. It provides an overview of each product, describing how Lex allows developers to build conversational bots through natural language understanding, how Lambda can be used for fulfillment and integration, and how Connect provides a cloud-based contact center. It also provides an example workflow of integrating Lex and Connect to build a voice-based application and points to additional resources.
The document discusses modernizing data centers through automation, cloud migration of virtual machine instances, and adopting DevOps practices. It introduces HungSun LIM from Open Source Consulting and covers topics like infrastructure as code, migrating systems from on-premise to AWS using a tool called RORO, containerization using Docker, and how DevOps can be applied. The goal is to help organizations modernize their data centers to be more flexible, cost effective and customizable.
Alexa skills allow you to expand the voice assistant capabilities beyond what comes out of the box. In addition to more than 30,000 available Alexa skills out there, you can start developing your own skill tomorrow morning.
This session will show you how to build your first Alexa skill using different AWS services that can help you develop and run your skill in minutes. We will cover AWS Lambda, DynamoDB, S3 and other tools and services that will help you run your skills at scale.
Alexa skills allow you to expand the voice assistant capabilities beyond what comes out of the box. In addition to more than 30,000 available Alexa skills out there, you can start developing your own skill tomorrow morning. This session will show you how to build your first Alexa skill using different AWS services that can help you develop and run your skill in minutes. We will cover AWS Lambda, DynamoDB, S3 and other tools and services that will help you run your skills at scale.
The AWS Cloud Development Kit is a new open-source framework from AWS which allows developers to harness the full power of modern programming languages to define reusable cloud components and applications , and provision them through CloudFormation. This workshop will help you get started with the AWS CDK using TypeScript. We will build and deploy a CDK app that uses API Gateway, AWS Lambda, DynamoDB, Containers and Step Functions. We will also define reusable CDK components (called “constructs”) that can be shared with your team/company or with the whole wide world.
MongoDB World 2018: Tutorial - How to Build Applications with MongoDB Atlas &...MongoDB
This document provides an overview of a presentation given by Chris Munns on building applications with MongoDB Atlas and AWS Lambda. It introduces Chris and his background, defines serverless architecture using AWS Lambda and how it can be used to build applications without having to provision or manage servers. It then discusses using MongoDB Atlas for flexible and scalable database hosting in the cloud and how it can be integrated with AWS Lambda for building serverless applications.
In this session, Tim Wagner, general manager of AWS Lambda and API Gateway, explores how developers can design, develop, deliver, and monitor cloud applications as they take advantage of the AWS serverless platform and developer toolset. He shares technical insights that developers can use to optimize their workflows and their use of cloud resources, which, in turn, can improve security, scalability, and availability. He also discusses common serverless patterns used by enterprises, and he dives into the operational and security features used by large and mature organizations. You will also hear from a Principal Architect of T-Mobile who will discuss how T-Mobile is driving adoption of serverless within the company.
PaaS – From Code to Running Application using AWS Elastic Beanstalk (DEV323) ...Amazon Web Services
Come learn how Elastic Beanstalk can help you go from code to running application in a matter of minutes, without the need to provision or manage any of the underlying Amazon Web Services (AWS) resources. Hear how Qualcomm is able to migrate application to AWS faster than before through Forge, an internally built application platform that leverages Elastic Beanstalk to simplify the development and deployment of applications to AWS with security and organizational best practices out of the box.
In this workshop, learn how to create a serverless data lake architecture. Understand how to ingest data at scale from multiple data sources, how to transform the data, and how to catalog it to make it available for querying using a variety of tools. Also learn how to set up governance and data quality controls.
Speakers:
Rajanikanth Bhargava Chilakapati - Solutions Architect, AWS
Karl Hart - Solutions Architect, AWS
John Pignata - Startup Solutions Architect, AWS
Similar to Build the Next-Gen Meeting Room Experience Using Alexa for Business (BAP303-R1) - AWS re:Invent 2018 (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.
11. “We have this goal of going fully wireless, with the least
amount of touch possible. You should be able to walk in
and focus on your meeting, and not worry about how to
start it or whether the TVs are set up correctly.”
37. “It's amazing to walk into a room while
setting down my coffee and say,
"Alexa, start my meeting" and she get's
things kicked off.
-Amazon employee
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