This last November Amazon Web Services held the 6th annual re:Invent conference in Las Vegas.
Over 40,000 participants attended, partaking in Keynotes and over 1,000 breakout sessions on topics such as cloud architecture, continuous deployment, monitoring and management, performance, security, migration and more.
During the week, AWS announced the launch of dozens of new significant features and services.
We thought it would benefit the Israeli Venture Capital community to come together for a review of the announcement highlights, Get informed on new capabilities and best practices that can serve your portfolio companies and get answers for questions around re:Invent 2017 news.
The Future of AI - AllCloud Best of reInventBoaz Ziniman
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Automate for Efficiency with Amazon Transcribe and Amazon Translate - AWS Onl...Amazon Web Services
Learning Objectives:
- Introduction to Amazon Translate
- Introduction to Amazon Transcribe
- Learn how you can weave machine translation and transcription into your workflows to increase efficiency and reach your operations
Building an end to end image recognition service - Tel Aviv Summit 2018Amazon Web Services
In this session, we’ll learn how to build and deploy end to end solutions for ingesting and processing computer vision solutions, using machine learning models connected to live video streams, and getting insights such as face detection and object analysis. At the end of the session developers of all skill levels will be able to build their own deep learning powered, computer-vision applications. Attendees will learn how to experiment with different projects for face detection, object recognition and other video-based AWS Machine Learning services.
Sviluppare applicazioni voice-first con AWS e Amazon AlexaAmazon Web Services
Come possiamo sviluppare applicazioni che siano allo stesso tempo scalabili, manutenibili, cost-effective, intelligenti e voice-first? La suite di servizi AWS basati su Machine Learning e Deep Learning offre ad ogni sviluppatore la possibilità di integrare funzionalità avanzate di riconoscimento vocale, comprensione del linguaggio naturale, rendering audio e traduzione automatica.
In questo webinar, Alex ed Arianna discuteranno le tecniche e le best practice per implementare interfacce vocali tramite i servizi AWS. Arianna, technical evangelist per Amazon Alexa, introdurrà Alexa e mostrerà come sviluppare esperienze vocali per quest’ultima.
Automated testing is an essential part of assuring the quality and functional state of your software. One of the biggest challenges in automating your testing can be the simulating user interaction with your UI. For Alexa custom skills, users generally interact via multi-step conversations, which result in a request-response flow to your endpoint. The right set of tools and APIs can help you tackle the complexity of simulating such interactions in an automated fashion. This session demonstrates how to create conversational scripts that can be executed against an Alexa skill endpoint to validate the skill’s output against predefined assertions. You'll leave this talk armed with practical knowledge of how to establish powerful test automation suites for your Alexa skills, helping you ensure that your new skills behave exactly as you expect, and that you don’t accidentally break things while working on new versions. Bring your own laptop and AWS account.
AWS reInvent 2017 recap - Optimizing Costs as You Scale on AWSAmazon Web Services
The cloud offers a first-in-a-career-opportunity to constantly optimize your costs as you grow and stay on the bleeding edge of innovation. By developing a cost-conscious culture and assigning the responsibility for efficiency to the appropriate business owners, you can deliver innovation efficiently and cost effectively. This session will review a wide range of cost planning, monitoring, and optimization strategies featuring real-world experience from AWS customers.
Amazon brings natural language processing, automatic speech recognition, text-to-speech, and neural machine translation technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
The Future of AI - AllCloud Best of reInventBoaz Ziniman
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Automate for Efficiency with Amazon Transcribe and Amazon Translate - AWS Onl...Amazon Web Services
Learning Objectives:
- Introduction to Amazon Translate
- Introduction to Amazon Transcribe
- Learn how you can weave machine translation and transcription into your workflows to increase efficiency and reach your operations
Building an end to end image recognition service - Tel Aviv Summit 2018Amazon Web Services
In this session, we’ll learn how to build and deploy end to end solutions for ingesting and processing computer vision solutions, using machine learning models connected to live video streams, and getting insights such as face detection and object analysis. At the end of the session developers of all skill levels will be able to build their own deep learning powered, computer-vision applications. Attendees will learn how to experiment with different projects for face detection, object recognition and other video-based AWS Machine Learning services.
Sviluppare applicazioni voice-first con AWS e Amazon AlexaAmazon Web Services
Come possiamo sviluppare applicazioni che siano allo stesso tempo scalabili, manutenibili, cost-effective, intelligenti e voice-first? La suite di servizi AWS basati su Machine Learning e Deep Learning offre ad ogni sviluppatore la possibilità di integrare funzionalità avanzate di riconoscimento vocale, comprensione del linguaggio naturale, rendering audio e traduzione automatica.
In questo webinar, Alex ed Arianna discuteranno le tecniche e le best practice per implementare interfacce vocali tramite i servizi AWS. Arianna, technical evangelist per Amazon Alexa, introdurrà Alexa e mostrerà come sviluppare esperienze vocali per quest’ultima.
Automated testing is an essential part of assuring the quality and functional state of your software. One of the biggest challenges in automating your testing can be the simulating user interaction with your UI. For Alexa custom skills, users generally interact via multi-step conversations, which result in a request-response flow to your endpoint. The right set of tools and APIs can help you tackle the complexity of simulating such interactions in an automated fashion. This session demonstrates how to create conversational scripts that can be executed against an Alexa skill endpoint to validate the skill’s output against predefined assertions. You'll leave this talk armed with practical knowledge of how to establish powerful test automation suites for your Alexa skills, helping you ensure that your new skills behave exactly as you expect, and that you don’t accidentally break things while working on new versions. Bring your own laptop and AWS account.
AWS reInvent 2017 recap - Optimizing Costs as You Scale on AWSAmazon Web Services
The cloud offers a first-in-a-career-opportunity to constantly optimize your costs as you grow and stay on the bleeding edge of innovation. By developing a cost-conscious culture and assigning the responsibility for efficiency to the appropriate business owners, you can deliver innovation efficiently and cost effectively. This session will review a wide range of cost planning, monitoring, and optimization strategies featuring real-world experience from AWS customers.
Amazon brings natural language processing, automatic speech recognition, text-to-speech, and neural machine translation technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us.
講師: Jhen-Wei Huang, Solutions Architect, Amazon Web Services
Do your customers love you?
Recommendations and Voice of Customer
Analytics and AI with AWS
Build Deep Learning Applications Using MXNet and Amazon SageMaker (AIM418) - ...Amazon Web Services
In this workshop, learn how to get started with the Apache MXNet deep learning framework using Amazon SageMaker, a fully managed platform to build, train, and deploy machine learning models at scale quickly and easily. Learn how to build a model using MXNet for a computer vision use case. Once the model is built, learn how to quickly train it to get the best possible results and then easily deploy it to production using Amazon SageMaker.
Deep Learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, we provide an overview of Deep Learning focusing on relevant application domains. We introduce popular Deep Learning frameworks such as TensorFlow and Apache MXNet, and we discuss how to select the right fit for your targeted use cases. We also walk you through other key considerations for optimizing Deep Learning training and inference, including setting up and scaling your infrastructure on AWS.
The IoT Offering Explained in Plain English - IOT201 - re:Invent 2017Amazon Web Services
This session can help you better understand how to leverage different AWS services to build an IoT application. Learn the value of each AWS service in the Internet of Things (IoT) category, as we go through different use cases that demonstrate how the services are better together. NASA/JPL illustrate those concepts by discussing the inner workings of a demonstration they’ve built. They also talk about how they use IoT to overcome their technical challenges.
Analyzing Streaming Data in Real-time with Amazon KinesisAmazon Web Services
As more and more organizations strive to gain real-time insights into their business, streaming data has become ubiquitous. Typical streaming data analytics solutions require specific skills and complex infrastructure. However, with Amazon Kinesis Analytics, you can analyze streaming data in real-time with standard SQL—there is no need to learn new programming languages or processing frameworks.
In this session, we dive deep into the capabilities of Amazon Kinesis Analytics using real-world examples. We’ll present an end-to-end streaming data solution using Amazon Kinesis Streams for data ingestion, Amazon Kinesis Analytics for real-time processing, and Amazon Kinesis Firehose for persistence. We review in detail how to write SQL queries using streaming data and discuss best practices to optimize and monitor your Amazon Kinesis Analytics applications. Lastly, we discuss how to estimate the cost of the entire system.
Operating Your Serverless API in Production at Scale - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn to run production APIs with Amazon API Gateway
- Set up alarming and analyze logs for your API with Amazon CloudWatch
- Review the newest API Gateway features
Create an ML Factory in Financial Services with CI CD - FSI301 - New York AWS...Amazon Web Services
Financial institutions want to accelerate and scale their use of machine learning (ML), but going from a hypothesis to a working ML model that infers answers in production requires much time and effort. Continuous integration and deployment techniques can help by accelerating the ML development process while providing a way to answer questions about data lineage, such as, “What version of the code and data produced this particular inference?” In this session, learn how to combine Amazon SageMaker with AWS CodeCommit, AWS CodeBuild, and AWS CodePipeline to create a workflow that helps provide the reproducibility and auditability that financial institutions need without constraining the tools and methods that data scientists use to build their ML models.
Life of a Code Change to a Tier 1 Service - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- How Amazon's software development teams release code changes
- Cultural and operational continuous delivery best practices
- About AWS Developer Tools used to implement CI/CD
Supercharge your Machine Learning Solutions with Amazon SageMakerAmazon Web Services
Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. This session will introduce you the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems. You'll also hear how and why Intuit is using Amazon SageMaker on AWS for real-time fraud detection.
This session walks you through some of the more advanced features offered in Alexa Skill Builder, like Dialog Management, Entity Resolution, state management, session persistence, and maintaining context. Using Dialog Management, you can engage skill users in a multi-turn dialog to elicit and confirm slots for an intent. Using Entity Resolution, you can greatly simplify slot management by mapping multiple synonyms of your slot to a unique ID. We couple these conversational techniques with the management of session state and persistence to enable memory and personalization.
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.
MCL308_Using a Digital Assistant in the Enterprise for Business ProductivityAmazon Web Services
Enterprises must transform at the pace of technology. Through chatbots built with Amazon Lex, enterprises are improving business productivity, reducing execution time, and taking advantage of efficiency savings for common operational requests. These include inventory management, human resources requests, self-service analytics, and even the onboarding of new employees. In this session, learn how Infor integrated Amazon Lex into their standard technology stack, with several use cases based on advisory, assistant, and automation roles deeply rooted in their expanding AI strategy. This strategy powers one of the major functionalities of Infor Coleman to enable their users to make business decisions more quickly.
NEW LAUNCH! Deploying and Managing Voice Skills in your Organization with Ale...Amazon Web Services
With Alexa for Business, your employees and customers can access a variety of different voice skills that relate to your business. Alexa for Business allows you to easily manage where and how these voice skills can be accessed, and by whom. In this session, we'll walk through how you can use Alexa for Business to deploy and manage access to the custom skills you build for your organization. We'll walk through how employees "enroll" to use Alexa at work, and how the permissions model for your voice skills works. This session will include a demo showing the deployment of a pre-built custom skill, and the enrollment process for employees.
Building a Multi-Region, Active-Active Serverless Backends.Adrian Hornsby
From understanding reliability and availability, this talks walks you through the why and the how of building multi-region, active-active applications, and especially why serverless is a great fit.
Building Serverless Applications Using AWS AppSync and Amazon Neptune (SRV307...Amazon Web Services
In this session, learn how to build a data driven, serverless calorie tracker application with real-time, offline, and data syncing capabilities. The application provides an overview of your progress toward the calorie intake goal you've set, recommended intake remains, and breakdown of calories consumed. Use Amazon Cognito to build signup and sign-in capabilities as well as federated login to Facebook. The application integrates with AWS AppSync to provide real-time data from multiple data sources through GraphQL technology as well as offline capability. AWS AppSync makes it easy to access this data and provide the exact information your application needs. As a bonus, learn to use Amazon Neptune, a fully managed graph database, to build a personalized recommendation engine for calorie intake.
Understand the core concepts of “Cloud Computing” and how businesses around the world are running the infrastructure that supports their websites to lower costs, improve time-to-market, and enable rapid scalability matching resource to demands of users. Whether you are an enterprise looking for IT innovation, agility and resiliency or small and medium business who wants to accelerate growth without a big upfront investment in cash or time for technology, the AWS Cloud provides a complete set of services at zero upfront costs which are available with a few clicks and within minutes.
講師: Jhen-Wei Huang, Solutions Architect, Amazon Web Services
Do your customers love you?
Recommendations and Voice of Customer
Analytics and AI with AWS
Build Deep Learning Applications Using MXNet and Amazon SageMaker (AIM418) - ...Amazon Web Services
In this workshop, learn how to get started with the Apache MXNet deep learning framework using Amazon SageMaker, a fully managed platform to build, train, and deploy machine learning models at scale quickly and easily. Learn how to build a model using MXNet for a computer vision use case. Once the model is built, learn how to quickly train it to get the best possible results and then easily deploy it to production using Amazon SageMaker.
Deep Learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, we provide an overview of Deep Learning focusing on relevant application domains. We introduce popular Deep Learning frameworks such as TensorFlow and Apache MXNet, and we discuss how to select the right fit for your targeted use cases. We also walk you through other key considerations for optimizing Deep Learning training and inference, including setting up and scaling your infrastructure on AWS.
The IoT Offering Explained in Plain English - IOT201 - re:Invent 2017Amazon Web Services
This session can help you better understand how to leverage different AWS services to build an IoT application. Learn the value of each AWS service in the Internet of Things (IoT) category, as we go through different use cases that demonstrate how the services are better together. NASA/JPL illustrate those concepts by discussing the inner workings of a demonstration they’ve built. They also talk about how they use IoT to overcome their technical challenges.
Analyzing Streaming Data in Real-time with Amazon KinesisAmazon Web Services
As more and more organizations strive to gain real-time insights into their business, streaming data has become ubiquitous. Typical streaming data analytics solutions require specific skills and complex infrastructure. However, with Amazon Kinesis Analytics, you can analyze streaming data in real-time with standard SQL—there is no need to learn new programming languages or processing frameworks.
In this session, we dive deep into the capabilities of Amazon Kinesis Analytics using real-world examples. We’ll present an end-to-end streaming data solution using Amazon Kinesis Streams for data ingestion, Amazon Kinesis Analytics for real-time processing, and Amazon Kinesis Firehose for persistence. We review in detail how to write SQL queries using streaming data and discuss best practices to optimize and monitor your Amazon Kinesis Analytics applications. Lastly, we discuss how to estimate the cost of the entire system.
Operating Your Serverless API in Production at Scale - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn to run production APIs with Amazon API Gateway
- Set up alarming and analyze logs for your API with Amazon CloudWatch
- Review the newest API Gateway features
Create an ML Factory in Financial Services with CI CD - FSI301 - New York AWS...Amazon Web Services
Financial institutions want to accelerate and scale their use of machine learning (ML), but going from a hypothesis to a working ML model that infers answers in production requires much time and effort. Continuous integration and deployment techniques can help by accelerating the ML development process while providing a way to answer questions about data lineage, such as, “What version of the code and data produced this particular inference?” In this session, learn how to combine Amazon SageMaker with AWS CodeCommit, AWS CodeBuild, and AWS CodePipeline to create a workflow that helps provide the reproducibility and auditability that financial institutions need without constraining the tools and methods that data scientists use to build their ML models.
Life of a Code Change to a Tier 1 Service - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- How Amazon's software development teams release code changes
- Cultural and operational continuous delivery best practices
- About AWS Developer Tools used to implement CI/CD
Supercharge your Machine Learning Solutions with Amazon SageMakerAmazon Web Services
Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. This session will introduce you the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems. You'll also hear how and why Intuit is using Amazon SageMaker on AWS for real-time fraud detection.
This session walks you through some of the more advanced features offered in Alexa Skill Builder, like Dialog Management, Entity Resolution, state management, session persistence, and maintaining context. Using Dialog Management, you can engage skill users in a multi-turn dialog to elicit and confirm slots for an intent. Using Entity Resolution, you can greatly simplify slot management by mapping multiple synonyms of your slot to a unique ID. We couple these conversational techniques with the management of session state and persistence to enable memory and personalization.
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.
MCL308_Using a Digital Assistant in the Enterprise for Business ProductivityAmazon Web Services
Enterprises must transform at the pace of technology. Through chatbots built with Amazon Lex, enterprises are improving business productivity, reducing execution time, and taking advantage of efficiency savings for common operational requests. These include inventory management, human resources requests, self-service analytics, and even the onboarding of new employees. In this session, learn how Infor integrated Amazon Lex into their standard technology stack, with several use cases based on advisory, assistant, and automation roles deeply rooted in their expanding AI strategy. This strategy powers one of the major functionalities of Infor Coleman to enable their users to make business decisions more quickly.
NEW LAUNCH! Deploying and Managing Voice Skills in your Organization with Ale...Amazon Web Services
With Alexa for Business, your employees and customers can access a variety of different voice skills that relate to your business. Alexa for Business allows you to easily manage where and how these voice skills can be accessed, and by whom. In this session, we'll walk through how you can use Alexa for Business to deploy and manage access to the custom skills you build for your organization. We'll walk through how employees "enroll" to use Alexa at work, and how the permissions model for your voice skills works. This session will include a demo showing the deployment of a pre-built custom skill, and the enrollment process for employees.
Building a Multi-Region, Active-Active Serverless Backends.Adrian Hornsby
From understanding reliability and availability, this talks walks you through the why and the how of building multi-region, active-active applications, and especially why serverless is a great fit.
Building Serverless Applications Using AWS AppSync and Amazon Neptune (SRV307...Amazon Web Services
In this session, learn how to build a data driven, serverless calorie tracker application with real-time, offline, and data syncing capabilities. The application provides an overview of your progress toward the calorie intake goal you've set, recommended intake remains, and breakdown of calories consumed. Use Amazon Cognito to build signup and sign-in capabilities as well as federated login to Facebook. The application integrates with AWS AppSync to provide real-time data from multiple data sources through GraphQL technology as well as offline capability. AWS AppSync makes it easy to access this data and provide the exact information your application needs. As a bonus, learn to use Amazon Neptune, a fully managed graph database, to build a personalized recommendation engine for calorie intake.
Understand the core concepts of “Cloud Computing” and how businesses around the world are running the infrastructure that supports their websites to lower costs, improve time-to-market, and enable rapid scalability matching resource to demands of users. Whether you are an enterprise looking for IT innovation, agility and resiliency or small and medium business who wants to accelerate growth without a big upfront investment in cash or time for technology, the AWS Cloud provides a complete set of services at zero upfront costs which are available with a few clicks and within minutes.
Introduction to Cloud Computing with Amazon Web Services-ASEAN Workshop Serie...Amazon Web Services
The AWS Workshop Series Online is a series of live webinars designed for IT professionals who are looking to leverage the AWS Cloud to build and transform their business, are new to the AWS Cloud or looking to further expand their skills and expertise. In the first of this series, we will cover 'Introduction to Cloud Computing with Amazon Web Services'.
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes why companies are flocking to the cloud so quickly.
In this presentation AWS Technical Evangelist Ian Massingham introduces the AWS Cloud, discusses the benefits that customers delivery when they make use of AWS and also covers the common patterns for adoption of AWS amongst established enterprises. He will also walk through a selection of the services that AWS provides and describe how you can use these to run your applications and other IT workloads.
Watch a recording of this presentation on YouTube here: http://youtu.be/oFFhVAaLqrg
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes why companies are flocking to the cloud so quickly.
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing.
In the webinar based on these slides, we answered the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar recording on YouTube here: http://youtu.be/QROD20r6-sQ
Amazon Web Services (AWS) provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. This session provides an overview and describes why companies are flocking to the cloud so quickly.
Christian's part of the AWS re:Invent 2015 talk shared with Sajee Mathew - ARC304 - Designing for SaaS: Next Generation Software Delivery Models on AWS. Full video of the 60 minute presentation: https://www.youtube.com/watch?v=d16aUztH9hk&list=PLhr1KZpdzukdRxs_pGJm-qSy5LayL6W_Y
Esta sesión está enfocada en mostrar cómo las empresas pueden optimizar sus recursos a través de las soluciones basadas en la nube, poniendo foco en la diferenciación, la innovación y reducción de riesgos en la infraestructura.
Por Ricardo Rentería de Amazon
What is Innovation? How can cloud computing help you innovate? How can you make your applications smarter? Predictive? How can you interpret data and anticipate trends? With AWS Artificial Intelligence Solutions: Machine Learning, Rekognition, Polly; with serverless - Lambda, Step Functions.
Introduction to the AWS Cloud from Digital Tuesday MeetupIan Massingham
These are the slides that I used for my Introduction to AWS talk at the South Wales Digital Tuesday Meetup on the 2nd of December 2014.
Find out more about Digital Tuesday at their website here: http://www.digital-tuesday.com/
Aberdeen Oil & Gas Event - Enterprise Cloud Adoption PatternsAmazon Web Services
In this presentation from the recent AWS Oil & Gas event in Aberdeen, AWS Technical Evangelist Ian Massingham describes and discusses the common patterns for adoption of the AWS Cloud within established enterprises.
AWS Summit Singapore 2019 | Opening Keynote with Peter DeSantisAWS Summits
Speaker: Peter DeSantis, Vice President, AWS Global Infrastructure and Customer Support.
AWS Customers:
Certis – Chua Chwee Koh, Chief Group Technology & Operations
Traveloka – Sergei Shvetsov, Head of Engineering
AWS re:Invent is an annual global conference of the Amazon Web Services community held in Las Vegas. In 2017, we held 1000+ breakout sessions and attracted over 40,000 attendees. The event offers expanded opportunities to learn about the latest AWS releases, use cases and business benefits, not to mention diving deep into hot topics and meeting with our subject matter experts.
Missed it? Don’t worry, we are bringing AWS re:Invent to Hong Kong on Jan 18, 2018. Packed in a day, AWS re:Invent 2017 Recap Hong Kong will showcase new releases announced at re:Invent 2017 on Serverless & Container, DevOps & Mobile, Artificial Intelligence & Machine Learning and more. Local customers will also be invited to share their re:Invent experience and success stories with AWS.
Discover the latest services and features from Amazon Web Services and learn how to integrate them into your applications
Your spend on AWS should always be optimized. Whether you are seeing usage increase because your customers are relying more on your services, or you just want to dial-in your spending for the road ahead, there are things you can and should do to optimize your cloud costs. In this session we will highlight six quick cost optimizations every startup should consider depending on workloads and the patterns you are seeing. We will give you the tools and approaches that can have a significant impact on your startup right now and moving forward. Some of which you can implement right after this session.
What can you do with Serverless in 2020Boaz Ziniman
Serverless is always evolving (faster than any definition) and each year new capabilities simplify existing workloads and enable new applications to be implemented in an easier, more efficient way. At AWS, we have focused on improving observability, configuration management, functions invocations, service integrations, and execution environments. Looking at some of the more recent updates, this session is introducing the reasoning behind the new features, and how to use them to reduce your architecture complexity, including real world examples of what AWS customers are doing, so that you can focus on creating value for YOUR customers.
Your spend on AWS should always be optimized. Whether you are seeing usage increase because your customers are relying more on your services, or you just want to dial-in your spending for the road ahead, there are things you can and should do to optimize your cloud costs. In this session we will highlight six quick cost optimizations every startup should consider depending on workloads and the patterns you are seeing. We will give you the tools and approaches that can have a significant impact on your startup right now and moving forward. Some of which you can implement right after this session.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. With AWS Greengrass you can extends AWS IoT Core onto your devices at the edge, so they can act locally on the data they generate. In this session we discuss the challenges of running IoT devices and how we solve them with AWS IoT that let you build powerful IoT and edge compute applications. In this tech talk, we will discuss how constrained devices (such as ESP8266/ESP32) can leverage AWS IoT.
Modern Applications Development on AWSBoaz Ziniman
Modern Application Development, using Microservices and Serverless, allow you to build and run simpler and more efficient applications, while improving your agility and saving a lot of money.
The ability to deploy your applications without the need for provisioning or managing servers opens new opportunities to build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more, without the investment in hardware or professional manpower to run this hardware.
In this session, we will learn how to get started with Microservices and Serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers.
Enriching your app with Image recognition and AWS AI services Hebrew WebinarBoaz Ziniman
Artificial Intelligence services on the AWS cloud bring machine learning technologies such as image recognition and computer vision within reach of every developer.In this session, you will be introduced to AWS AI services for developers and learn how to use one of them, Amazon Rekognition, to add new capabilities to your applications.
This workshop will walk you trough building a serverless website, powered by AWS AI services, as part of the website backend.We will deploy a website on S3, use API Gateway and Lambda as our backend and integrate Amazon Rekognition to enrich user generated content.
Drive Down the Cost of your Data Lake by Using the Right Data TieringBoaz Ziniman
Amazon S3 supports a wide range of storage classes to help you cost-effectively store your data. Each of the S3 Storage Classes is designed to support different use cases while reliably protecting your data. In this session, we will look into the different S3 Storage Classes, their respective key features, and the use cases they support, while focusing on the newest storage class S3 Intelligent-Tiering-the first cloud storage class that automatically optimizes storage costs for data with changing access patterns.
Breaking Voice and Language Barriers with AI - Chatbot Summit Tel AvivBoaz Ziniman
AI and Machine learning allow developers to introduce new voice and language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience.
This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We will build an automatic translator, interact with text to speech and connect to a multilingual call center that can be expended to new languages in minutes.
Serverless Beyond Functions - CTO Club Made in JLMBoaz Ziniman
Serverless is changing the way businesses think about speed and cost of innovation but today, Serverless is not limited to the code running as a Lambda function.
In this session we will look into what it takes to run a full serverless application in production. We will cover additional services such as Serverless application management, storage solution for Serverless Apps, Step Functions for App orchestration and CI/CD and Monitoring for your full application lifecycle.
Websites Go Serverless - ServerlessDays TLV 2019Boaz Ziniman
If you still running servers for website backend, come and see how you can remove server operations from your tasks list and focus on developing the best code and product. In this session, we will take a common website architecture and show how can we use AWS Lambda, Amazon S3 and other Services to build smarter and better systems.
SKL208 - Turbocharge your Business with AI and Machine Learning - Tel Aviv Su...Boaz Ziniman
This session will focus on the basic building blocks of Artificial Intelligence (AI) and Machine Learning (ML) using AWS services. It will help you to identify use cases for ML with real-world examples, and help you create the right conditions for delivering successful ML-based solutions to your business.
AIM301 - Breaking Language Barriers With AI - Tel Aviv Summit 2019Boaz Ziniman
AI and Machine learning allow developers to introduce new language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience. This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We will build an automatic translator, interact with text to speech and try to extract sentiments from live text coming from different feeds.
Breaking Language Barriers with AI - AWS SummitBoaz Ziniman
AI and Machine learning allow developers to introduce new language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience. This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We will build an automatic translator, interact with text to speech and try to extract sentiments from live text coming from different feeds.
Websites go Serverless - AWS Summit BerlinBoaz Ziniman
If you still running servers for website backend, come and see how you can remove server operations from your tasks list and focus on developing the best code and product. In this session, we will take a common website architecture and show how can we use AWS Lambda, Amazon S3 and other Services to build smarter and better systems.
During the last re:Invent, AWS announced many new features for Lambda and Serverless in general. In this session, we will cover the new features in Lambda and Serverless such as Lambda as a Target for ELB, Layers, Custom Runtimes, changes to AWS Step Functions and more.
Artificial Intelligence for Developers - OOP MunichBoaz Ziniman
Artificial Intelligence (AI) services on the AWS cloud bring the experience of Amazon and power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the history of AI at Amazon and explore the opportunities to apply one or more of the AI services, provide a number of examples and use cases to help you get started.
Introduction to Serverless Computing - OOP MunichBoaz Ziniman
erverless 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.
IoT from Cloud to Edge & Back Again - WebSummit 2018Boaz Ziniman
Building IoT solutions require a lot of heavy lifting. AWS IoT helps you deal with security, connectivity, date, business logic, updates and more and allows you to extend cloud capabilities to your edge devices. In this tech talk, we'll discuss the challenges of running IoT devices and how constrained devices can leverage AWS IoT. We'll use AWS IoT Button and other devices to demonstrate building a real, securely connected, product with AWS IoT.
Breaking Language Barriers with AI - Web Summit 2018Boaz Ziniman
AI and machine learning allow developers to introduce new language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience. This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We'll build an automatic translator, interact with text to speech and try to extract sentiments from live text coming from different feeds.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
4. A Q U I C K U P D A T E O N T H E A W S B U S I N E S S …
5. 4 5 %
Y / Y G R O W T H
(Q4 2017 vs Q4 2016)
$ 2 0 B
R E V E N U E R U N R A T E
(Annualized from Q4 2017)
6. 2012 2013 2015 TODAY2014 20162008 2009 2010 2011
MILLIONS OF ACTIVE CUSTOMERS
7. L A R G E S T N U M B E R O F S T A R T U P C U S T O M E R S
8. L A R G E S T N U M B E R O F E N T E R P R I S E C U S T O M E R S
9. STATE OF THE CLOUD
44.1%
7.7%
3.0%
2.3%
1.0%
1.4%
0.7%
2.2%
0.5%
0.9%
10. Most robust, fully featured technology
infrastructure platform
CORE SERVICES
Integrated Networking
Rules Engine
Device Shadows
Device SDKs
Device Gateway
Registry
Local Compute
Custom Model
Training & Hosting
Conversational Chatbots
Virtual Desktops
App Streaming
Schema Conversion
Image & Scene
Recognition Sharing & Collaboration
Exabyte-Scale
Data Migration
Text to Speech
Corporate Email Application Migration
Database Migration
Regions
Availability Zones
Points of Presence
Data Warehousing
Business Intelligence
Elasticsearch
Hadoop/Spark
Data Pipelines
Streaming Data
Collection
ETL
Streaming Data
Analysis
Interactive SQL
Queries
Queuing & Notifications
Workflow
Email
Transcoding
Deep Learning
(Apache MXNet,
TensorFlow, & others)
Server MigrationCommunications
MARKETPLACE
Business Apps Business Intelligence DevOps Tools Security Networking StorageDatabases
API Gateway
Single Integrated Console
Identity
Sync
Mobile Analytics
Mobile App Testing
Targeted Push
Notifications
One-click App
Deployment
DevOps Resource
Management
Application Lifecycle
Management
Containers
Triggers
Resource Templates
Build & Test
Analyze & Debug
Identity
Management
Key Management
& Storage
Monitoring &
Logs
Configuration
Compliance
Web Application
Firewall
Assessment
& Reporting
Resource & Usage
Auditing
Access Control
Account
Grouping
DDOS
Protection
TECHNICAL & BUSINESS SUPPORT
Support
Professional
Services
Optimization
Guidance
Partner
Ecosystem
Training &
Certification
Solutions Management Account Management Security & Billing Reports
Personalized
Dashboard
Monitoring
Manage
Resources
Data Integration
Integrated Identity &
Access
Integrated Resource &
Deployment Management
Integrated Devices
& Edge Systems
Resource Templates
Configuration
Tracking
Server
Management
Service
Catalogue
Search
MIGRATIONHYBRID ARCHITECTUREENTERPRISE APPSMACHINE LEARNINGIoTMOBILE SERVICESDEV OPSANALYTICS
APP SERVICES
INFRASTRUCTURE SECURITY & COMPLIANCE MANAGEMENT TOOLS
Compute
VMs, Auto-scaling, Load
Balancing, Containers,
Virtual Private Servers,
Batch Computing,
Cloud Functions, Elastic
GPUs, Edge Computing
Storage
Object, Blocks, File,
Archivals, Import/Export,
Exabyte-scale data transfer
CDN
Databases
Relational, NoSQL,
Caching, Migration,
PostgreSQL
compatible
Networking
VPC, DX, DNS
Facial Recognition &
Analysis
Facial Search
Patching
Contact Center
11. 516
24 48 61 82
159
280
722
1,017
LAUNCHES
2008 2009 2010 2011 2012 2013 2014 2015 2016
1,430
2017
P A C E O F
I N N O V A T I O N
New capabilities daily
17. BROADEST SPECTRUM OF
COMPUTE INSTANCES
Burstable
T 2
Big Data
Optimized
H 1
Memory
Optimized
R 4
In-memory
X 1
High
I/O
I 3
Compute
Intensive
C 5
Graphics
Intensive
G 3
General
Purpose
GPU
P 3
Memory
Intensive
X 1 e
General
Purpose
M 5
Virtual
Private
Servers
Bare Metal
High I/O
I 3 m
Dense
Storage
D 2 F 1
FPGA
A m a z o n
L i g h t s a i l
EC2 Elastic GPUs
Graphics acceleration
for EC2 instances
EC2 Spot Instances
• Hibernation
• No Bid Pricing
N E
W !
NEW
!
NEW
!
NEW
!
NEW
!
NEW!
18. Amazon EC2 M5 Instances (GA)
Next generation of EC2 general purpose instances
• Powered by 2.5 GHz Intel Xeon Platinum 8000-
series ”Skylake” Processor
• New larger instance size – m5.24xlarge with 96
vCPUs and 384 GiB of memory
• Improved network and EBS performance on
smaller instance sizes
• Support for Intel AVX-512
• Powered by new lightweight Nitro Hypervisor
14% Price / Performance
Improvement With M5
M4 M5
19. Amazon EC2 H1 Instances (GA)
New dense storage instance family for big data workloads
H1
New Storage-optimized instance
Up to 16TB of locally
attached HDD storage
Up to 25 Gbps network
bandwidth with ENA
Big Data Clusters Kafka Streaming MapReduce
21. Spot Enhancements
• Save up to 90% over on-demand costs
• Synchronous launch of spot instances via RunInstances API (immediately get
instance IDs)
• Previously had to deal with: Spot markets, bidding, asynchronous API
• Price changes in spot market happen gradually based on longer-term trends in
supply / demand.
• Instance Hibernation:
• EC2 hibernation agent write in-memory state of instance to root EBS volume
• Amazon Linux, Ubuntu, Windows Server
• Not all instance types supported
• Preserves private IPs across stop/start cycles
23. Virtual machine versus Containers
Server (Host)
Host OS
Hypervisor
App 2
Guest OS Guest OS Guest OS
Bins/Libs Bins/Libs Bins/Libs
App 1
App 2
App 3
VM
Server (Host)
Host OS
Docker
Bins/Libs Bins/Libs Bins/Libs
App 1 App 2 App 3
Container
24. Container & Docker Benefits
• Portable application artifact that runs reliably everywhere
• Run different applications or application versions with different
dependencies simultaneously
• Better resource utilization by running multiple lightweight
containers per host
25. Service integrations are at the
container level
Scales to support clusters and
applications of any size
Integration with entire AWS platform
3
ALB, Auto Scaling, Batch, Elastic Beanstalk, CloudFormation,
CloudTrail, CloudWatch Events, CloudWatch Logs, CloudWatch
Metrics, ECR, EC2 Spot, IAM, NLB, Parameter Store, and VPC
The easiest way to
deploy and manage
containers
Amazon Elastic Container Service (ECS)
2
1
27. WHAT ABOUT KUBENETES?
“According to a recent survey, 63% of
users were already hosting Kubernetes on
Amazon EC2. This was up from 44 percent
a year ago.”
https://www.cncf.io/blog/2017/06/28/survey-shows-kubernetes-leading-orchestration-platform/
28. M a n a ge d Kube r nete s on AWS
Available in preview today
Amazon Elastic Container Service for
Kubernetes (EKS)
Hybrid cloud
compatible
Highly available Automated
upgrades and
patches
Integrated with
AWS Services
CloudTrail, CloudWatch,
ELB, IAM, VPC,
PrivateLink
NEW!
29. … B U T W H A T E L S E ?
M A N A G E D C L U S T E R S
A R E G R E A T …
30. R u n c o n t a i n e rs w i t h o u t m a n a g i n g
s e r v e rs o r c l u s t e rs
Available for ECS today
Available for EKS in 2018
AWS Fargate - Serverless Container Service
No clusters
to manage
Manages underlying
infrastructure
Easy to run,
easy to scale
NEW!
32. Serverless - The Future of Computing
ALL THE CODE YOU EVER WRITE
IS BUSINESS LOGIC
No server management Flexible scaling High availability No idle capacity
35. AWS Serverless Application Repository
4 new powerful
features for AWS
Lambda 3GB memory support
Concurrency controlsAPI Gateway VPC integration
.NET Core 2.0 language
support (pre-announce)
…and Go
Discover a
collection of
serverless
applications
Easily deploy
to your AWS
account in a
few clicks
Publish your
own
applications to
share with the
community
D i s c o v e r, d e p l o y, a n d p u b l i s h s e r v e r l e s s a p p s
Available in preview today
NEW!
36. API Gateway Canary Deployments
• When deploying to a stage you can now specify “canarySettings”
• Shift a percentage of API traffic between 0.0 and 100.0
• Stage variables for the canary that can override production
• Continuously shift traffic (start with 10% move to 100%)
• Promote a canary release to a production stage
38. A U R O R A I S T H E F A S T E S T G R O W I N G
S E R V I C E I N T H E H I S T O R Y O F A W S
39. Aurora Multi-Masters
Seamless recovery from read replica failures
Auto-scale new read replicas
Up to 15 read replicas across 3 availability zones
Application
Read Replica
1
Master
Node
Read Replica
2
Shared Distributed Storage Volume
Availability
Zone 1
Availability
Zone 2
Availability
Zone 3
Application
Read/Write
Master 2
Read/Write
Master 1
Shared Distributed Storage Volume
Availability
Zone 1
Availability
Zone 2
Availability
Zone 3
Read/Write
Master 3
Zero application downtime from ANY node failure
Zero application downtime from ANY AZ failure
Multi-region coming in 2018
Faster write performance
NEW!
First relational database service
with scale-out on both read and write, across multiple datacenters
41. Sign u p fo r th e p r eview to d a y
Aurora Severless
On-demand, auto-scaling database for applications with
unpredictable or cyclical workloads
Automatically
scales capacity
up and down
Pay per second
and only for
the database
capacity you
use
Starts up on
demand and
shuts down
when not in use
No need to
provision
instances
NEW!
43. Build high performance, globally distributed applications
Low latency reads and writes to locally available tables
Disaster proof with multi-region redundancy
Easy to setup and no application re-writes required
DYNAMODB GLOBAL TABLESNEW!
First fully managed, multi-master, multi-region database
G en er a lly a va ila b le to d a y
DYNAMODB BACKUP & RESTORE
Only cloud database to provide on-demand and continuous backups
On-Demand Backups for long term data
archival and compliance
Point In Time Restore for short term retention
and protection against application errors
Backup hundreds of TB instantaneously with
NO performance impact
On-Demand Backup generally available today
Point In Time Restore coming early 2018
44. EVOLUTION OF DATABASES
Amazon DynamoDB Amazon ElastiCache
KEY VALUE
DOCUMENT
IN-MEMORY STOREAURORA
Amazon RDS
COMMERCIAL COMMUNITY HIGHLY
CONNECTED
DATA
N o n - r e l a t i o n a l
d a t a b a s e s
R e l a t i o n a l
d a t a b a s e s
Social news feed Restaurant recommendations Retail fraud detection
45. CHALLENGES BUILDING APPS WITH
HIGHLY CONNECTED DATA
Difficult to
maintain
high
availability
Difficult to
scale
Relational databases Existing graph databases
Limited
support for
open
standards
Too
expensive
Unnatural for
querying graph
Inefficient
graph
processing
Rigid schema
inflexible for
changing
graphs
46. Available in preview today
F A S T A N D
S C A L A B L E
E A S Y
Build powerful
queries easily with
Gremlin and SPARQL
6 replicas of
your data across
3 AZs with full
backup and
restore
R E L I A B L E
Supports Apache
TinkerPop and
W3C RDF graph
models
OPEN
F u l l y m a n a g e d g ra p h d a t a b a s e
Store billions of
relationships and
query with
milliseconds
latency
Amazon Neptune
NEW!
47. Data Lake on AWS
Most ways to
bring data in
Best security,
compliance, and
audit capabilities
Object-level
controls
Unmatched durability,
availability,
and scalability
Twice as many
partner
integrations
Business insights
into your data
AMAZON S3 IS THE MOST POPULAR CHOICE
FOR DATA LAKES
49. Data Lake on AWS
Amazon Redshift
+ R e d s h i f t S p e c t r u m
Amazon
QuickSight
Amazon EMR
H a d o o p , S p a r k , P r e s t o ,
P i g , H i v e … 1 9 t o t a l
Amazon
Athena
Amazon
Kinesis
Amazon
Elasticsearch Service
AWS Glue
S3 DATA LAKE
Objects in your S3 data lake
v v v v v v v v
v v v v v v v v
BUT, MOST ANALYTICS JOBS
INVOLVE PROCESSING ONLY A
SUBSET OF OBJECT DATA
MAKING PETABYTE-SCALE
ANALYTICS ACCESSIBLE
TO COMPANIES OF ALL SIZES
50. New API to select and retrieve data within objects
Accelerate any application that processes a subset of object data in S3
Improve data access performance by up to 400%
NEW!
v
A va ila b le in p review to d a y
Powerful new S3 capability to pull out only the object data
you need using standard SQL expressionsS3 SELECT
8 seconds
Without S3 Select
1.8 seconds
With S3 Select
4.5x faster3
a g g r e g a t io n s
1
t a b le
4
filte r s
COMPLEX PRESTO QUERY
Against a standard TPC-DS dataset
6 sub-queries with each containing:
Glacier SELECT
G en er a lly a va ila b le to d a y
Run queries directly on data stored in Glacier
Run queries on data stored at rest in Amazon Glacier
Any application can query Glacier data
Retrieve only what you need
Makes Glacier part of your data lake
52. AWS Systems Manager
• Gain Operational Insights and Take Action on AWS Resources
• New Resource Groups API for grouping tagged resources programatically
• Operate on groups of resources intelligently
• All of the EC2 Systems Manager features
53. AWS PrivateLink (GA)
Share AWS, customer and
partner services privately
between VPCs and
on-premises networks
Secure. Scalable. Reliable.
Customers
and Partners
On Premises
Resources
Service VPC
Network
Load-
Balancer
AWS
Direct
Connect
Client VPC 1
Client VPC 2
Client VPC 3
VPC Endpoint
VPC
Endpoint
VPC
Endpoint
54. Inter-Region VPC Peering
• Traffic is encrypted
• No need for IGW or VPN devices
• Over AWS private backbone
• Does not transit public internet
55. Amazon GuardDuty
Continuous analysis of billions of events
Detections maintained by AWS Security
Uses machine learning and threat intelligence
Strengthens security through automation
One-click deployment with no additional
software or infrastructure to manage
I n t e l l i g e n t t h r e a t d e t e c t i o n f o r A W S a c c o u n t s a n d w o r k l o a d s
57. AWS Cloud9
A c l o u d I D E f o r w r i t i n g , r u n n i n g ,
a n d d e b u g g i n g c o d e
Generally available today Zero to
deploy FAST
Deep
integration
Real-time pair
programming
Broad debugging
support
AWS
CodePipeline
AWS
CodeDeploy
AWS
CodeCommit
AWS
CodeBuild
PUBLISH DIRECTLY INTO CODESTAR TOOLS
Integration with
Serverless App
NEW!
61. Collect and
prepare
training data
Choose and
optimize your
ML algorithm
Set up and
manage
environments
for training
Train and tune
model
(trial and
error)
Deploy model
in production
Scale and
manage the
production
environment
ML IS STILL TOO COMPLICATED FOR
EVERYDAY DEVELOPERS
62. Easily build, train, and deploy machine learning models
Generally available today
Amazon SageMaker
Fully managed
hosting with
auto-scaling
DEPLOY
One-click
deployment
BUILD
Pre-built
notebooks for
common
problems
Built-in, high
performance
algorithms
One-click
training
TRAIN
Hyperparameter
optimization
NEW!
63. T he wor l d’s f i rst wi re l e s s , de e p
l e a r n i n g e n a b l e d vi d e o ca m e ra
for d eve l op e rs
AWS DeepLens
HD video camera
Custom-designed
deep learning
inference engine
Micro-SD
Mini-HDMI
USB
USB
Reset
Audio out
Power
HD video camera with
on-board compute
optimized for deep
learning
Tutorials, examples,
demos,
and pre-built models
From unboxing to first
inference in <10 minutes
Integrates with
Amazon SageMaker
and AWS Lambda
10
MIN
NEW!
64. V I S I O N L A N G U A G E
A P P L I C A T I O N S E R V I C E S
Amazon Rekognition Amazon Polly Amazon Lex
Amazon AI - Democracy on ML
65. R e a l - t i m e a n d b a t c h v i d e o a n a l y t i c s
Generally available today
Amazon Rekognition Video
Video in. People, activities, and details out.
Objects, scenes, and activities
Person detection and
recognition
Person tracking
Celebrity recognition
Inappropriate content
detection
Amazon Kinesis Video Streams
Generally available today
S e c u r e l y i n g e s t a n d s t o r e v i d e o ,
a u d i o , a n d o t h e r t i m e - e n c o d e d d a t a
NEW!
66. A u t o m a t i c s p e e c h r e c o g n i t i o n
Available in
preview
today
Amazon Transcribe
Support for
telephony audio
Timestamp
generation
Intelligent
punctuation and
formatting
Recognize multiple
speakers
Custom
vocabulary
Multiple
languages
Amazon Translate
A u t o m a t i c a l l y t r a n s l a t e s t e x t b e t w e e n l a n g u a g e s
Available in
preview today
Real-time
translation
Batch
analysis
Automatic language
recognition
Low
cost
NEW!
67. F u l l y m a n a g e d n a t u r a l l a n g u a g e p r o c e s s i n g
Generally
available today
Amazon Comprehend
Discover valuable insights from text
Entities
Key Phrases
Language
SentimentAmazon
Comprehend
STORM
WORLD SERIES
STOCK MARKET
WASHINGTON
LIBR A R Y O F
NEW S A RTICLES
Amazon
Comprehend
NEW!
68. Alexa For Business
“Alexa, start the meeting.”
“Alexa, dial 555-8000.”
“Alexa, lower the blinds.”
“Alexa, ask Salesforce which
big deals closed today.”
Your intelligent assistant for work
Provision and
manage shared
devices
Configure
conference rooms
Enroll users
and assign skills
Build custom
skills
NEW!
69. Amazon Sumerian
The fastest and easiest way to create VR, AR, and 3D experiences
Available in preview today
NEW!
70. V I S I O N L A N G U A G E
A P P L I C A T I O N S E R V I C E S
Amazon
Rekognition
Amazon Polly Amazon Lex
Amazon AI - Democracy on ML
Amazon
Rekognition Video
Amazon Transcribe Amazon Translate Amazon Comprehend
Alexa for Business
V R / I R Amazon Sumerian
Amazon Kinesis
Video Streams
71. More New Services & Features…
https://aws.amazon.com/new/reinvent
https://youtube.com/amazonwebservices
https://www.slideshare.net/AmazonWebServices