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Amazon Documentdb Deep Dive
DAT326 Amazon DocumentDB deep dive Joseph Idziorek Antra Grover Principal Product Manager Software Development Engineer Amazon Web Services Fulfillment By Amazon © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Agenda What is the purpose of a document database? What customer problems does Amazon DocumentDB (with MongoDB compatibility) solve and how? Customer use case and learnings: Fulfillment by Amazon What did we deliver for customers this year? What’s next? © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Purpose-built databases Relational Key value Document In-memory Graph Search Time series Ledger Why document databases? Denormalized data Normalized data model model { 'name': 'Bat City Gelato', 'price': '$', 'rating': 5.0, 'review_count': 46, 'categories': ['gelato', 'ice cream'], 'location': { 'address': '6301 W Parmer Ln', 'city': 'Austin', 'country': 'US', 'state': 'TX', 'zip_code': '78729'} } Why document databases? GET https://api.yelp.com/v3/businesses/{id} { 'name': 'Bat City Gelato', 'price': '$', 'rating': 5.0, 'review_count': 46, 'categories': ['gelato', 'ice cream'], 'location': { 'address': '6301 W Parmer Ln', 'city': 'Austin', 'country': 'US', 'state': 'TX', 'zip_code': '78729'} } Why document databases? response = yelp_api.search_query(term='ice cream', location='austin, tx', sort_by='rating', limit=5) Why document databases? for i in response['businesses']: col.insert_one(i) db.businesses.aggregate([ { $group: { _id: "$price", ratingAvg: { $avg: "$rating"}} } ]) db.businesses.find({ -
Cloud Methodologies for a Seamless Integrated Chatbot
Published by : International Journal of Engineering Research & Technology (IJERT) http://www.ijert.org ISSN: 2278-0181 Vol. 9 Issue 08, August-2020 Cloud Methodologies for A Seamless Integrated Chatbot Sharan Kumar Paratala Rajagopal IEEE Member Senior Manager, Capgemini America, Inc. Dallas, Texas, USA Abstract—This research paper provides details of connecting C. Seamless AWS integrations Amazon connect to Amazon pinpoint to send SMS and also Amazon Lex provides built-in integration with AWS provides some insights on how it can be integrated with social Lambda and Amazon CloudWatch and you can easily platforms such as Facebook messaging and WhatsApp. Amazon integrate with many other services on the AWS platform Lex can be leveraged as standalone bot on the website or can be including Amazon Cognito and Amazon DynamoDB. You triggered from Amazon connect for Intelligent voice responses. can take advantage of the power of the AWS platform for Keywords—Amazon Lex, Amazon Connect, Amazon Pinpoint, security, monitoring, user authentication, business logic, WhatsApp, Facebook Messaging. storage and mobile app development. I. INTRODUCTION D. Cost effective Amazon Lex [1] is a service for building conversational With Amazon Lex, there are no upfront costs or minimum interfaces into any application using voice and text. Amazon fees. You are only charged for the text or speech requests that Lex provides the advanced deep learning functionalities of are made. Amazon Lex’ pay-as-you-go pricing and low cost automatic speech recognition (ASR) for converting speech to per request makes it a cost-effective way to build text, and natural language understanding (NLU) to recognize conversational interfaces anywhere. -
AWS Certified Developer – Associate (DVA-C01) Sample Exam Questions
AWS Certified Developer – Associate (DVA-C01) Sample Exam Questions 1) A company is migrating a legacy application to Amazon EC2. The application uses a user name and password stored in the source code to connect to a MySQL database. The database will be migrated to an Amazon RDS for MySQL DB instance. As part of the migration, the company wants to implement a secure way to store and automatically rotate the database credentials. Which approach meets these requirements? A) Store the database credentials in environment variables in an Amazon Machine Image (AMI). Rotate the credentials by replacing the AMI. B) Store the database credentials in AWS Systems Manager Parameter Store. Configure Parameter Store to automatically rotate the credentials. C) Store the database credentials in environment variables on the EC2 instances. Rotate the credentials by relaunching the EC2 instances. D) Store the database credentials in AWS Secrets Manager. Configure Secrets Manager to automatically rotate the credentials. 2) A Developer is designing a web application that allows the users to post comments and receive near- real-time feedback. Which architectures meet these requirements? (Select TWO.) A) Create an AWS AppSync schema and corresponding APIs. Use an Amazon DynamoDB table as the data store. B) Create a WebSocket API in Amazon API Gateway. Use an AWS Lambda function as the backend and an Amazon DynamoDB table as the data store. C) Create an AWS Elastic Beanstalk application backed by an Amazon RDS database. Configure the application to allow long-lived TCP/IP sockets. D) Create a GraphQL endpoint in Amazon API Gateway. Use an Amazon DynamoDB table as the data store. -
A Serverless Journey: Under the Hood of AWS Lambda
S V S 4 0 5 - R A Serverless Journey: Under the Hood of AWS Lambda Holly Mesrobian Marc Brooker Director of Engineering Senior Principal Engineer Amazon AWS Lambda Amazon AWS Serverless Amazon Web Services Amazon Web Services © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. SERVERLESS AT SCALE IS THE NEW NORM processes 4,000 requests executes 16 million per second requests a month processes half a trillion validations of stock trades daily ingests, analyzes and processes tens of stores 17+ petabytes of billions of data data per season points monthly API traffic to register and license more than 47 million driver records in Great Britain, © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Load Balancing Scaling Up and Down Handling Failures Predictable Low Latency AWS Lambda Handles Event Processing Stream Processing Predictable Performance Innovations in Isolation © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS Cloud Region Availability Zone 1 Worker Mgr Worker Claim Worker Invoke Placement Front End Invoke Reserve Sandbox Worker Mgr Init Lambda customer Worker (New Function or Scaling Up) Invoke Front End Worker Availability Zone 2 AWS Cloud Region Availability Zone 1 Worker Mgr Worker Invoke Front End Invoke Reserve Sandbox Lambda customer Worker Mgr Worker (Existing Worker, Existing Sandbox) Invoke Front End Worker Availability Zone 2 Poller Consumes events and ensures they are processed State Manager or Stream Tracker Handles scaling by managing Pollers and event or stream source resources Leasing Service Assigns Pollers to work on a specific event or streaming source © 2019, Amazon Web Services, Inc. -
AWS Autotech Forum 2020 Online #1
AWS Autotech Forum 2020 Online #1 2020/08/07 © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. ) ( ( AWS Glue Amazon Kinesis Amazon S3 © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. • • • • AWS • Next Action © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. • • • ü ü • Next Step • © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark LIDAR Camera Telematics Control Unit GPS/HD Maps Accelerometer/Gyroscope Odometry Cellular/DSRC Radar Infrared Ultrasonic © 2020,© 2018, Amazon Amazon Web Web Services, Services, Inc. Inc.or its or Affiliates. its Affiliates. All rightsAll rights reserved. reserved. , ), (, :, { “trip_id”: “00000001”, “timestamp”: “202008071000”, “x_value”: “0.342264”, “y_value”: “0.011724”, ”z_value”: “0.924651”, } / : , etc. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. / { “trip_id”: “00000001”, “timestamp”: “202008071000”, “x_value”: “0.342264”, “y_value”: “0.011724”, ”z_value”: “0.924651”, ( ( )/.,( ( ( } : c c e © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. ) • • • ( • © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark What is Data Lake? • • • © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 1 A B © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 2. C D © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. .. 3Hadoop 3 Amazon Simples Storage Service(S3) © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. • RDBMS • • • )API( API © 2020, Amazon Web Services, Inc. -
Optimizing Lambda Performance for Your Serverless Applications
Optimizing Lambda performance for your serverless applications James Beswick Senior Developer Advocate, AWS Serverless @jbesw © 2020, Amazon Web Services, Inc. or its Affiliates. About me • James Beswick • Email: [email protected] • Twitter: @jbesw • Senior Developer Advocate – AWS Serverless • Self-confessed serverless geek • Software Developer • Product Manager • Previously: • Multiple start-up tech guy • Rackspace, USAA, Morgan Stanley, J P Morgan © 2020, Amazon Web Services, Inc. or its Affiliates. Agenda Memory and profiling © 2020, Amazon Web Services, Inc. or its Affiliates. How does Lambda work? © 2020, Amazon Web Services, Inc. or its Affiliates. Anatomy of an AWS Lambda function Your function Language runtime Execution environment Lambda service Compute substrate © 2020, Amazon Web Services, Inc. or its Affiliates. Where you can impact performance… Your function Language runtime Execution environment Lambda service Compute substrate © 2020, Amazon Web Services, Inc. or its Affiliates. Anatomy of an AWS Lambda function Handler () function Event object Context object Function to be executed Data sent during Lambda Methods available to upon invocation function Invocation interact with runtime information (request ID, log group, more) // Python // Node.js import json const MyLib = require(‘my-package’) import mylib const myLib = new MyLib() def lambda_handler(event, context): exports.handler = async (event, context) => { # TODO implement # TODO implement return { return { 'statusCode': 200, statusCode: 200, 'body': json.dumps('Hello World!') body: JSON.stringify('Hello from Lambda!') } } } © 2020, Amazon Web Services, Inc. or its Affiliates. Function lifecycle – worker host Start new Download Execution Execute Execute your code environment INIT code handler code Full Partial Warm cold start cold start start AWS optimization Your optimization © 2020, Amazon Web Services, Inc. -
Interactive Attendee Guide for Oil & Gas Professionals
oil & gas Interactive attendee guide for Oil & Gas Professionals Hello, On behalf of the entire AWS Worldwide Oil & Gas team, welcome to re:Invent 2018! This year’s conference is going to be our Welcome. biggest yet, with 50,000+ attendees and more than 2,000 technical sessions. To get the most out of re:Invent, we encourage you to take advantage of the resources outlined in this document, including our “How to re:Invent” video series. Keep in mind that reserved seating goes live on October 11. You can start planning your schedule at any time by logging into your account, visiting the session catalog, and marking sessions of interest. Although re:Invent is a big conference, the strength of the Oil & Gas community makes it feel much smaller. We look forward to seeing you in Vegas! Arno van den Haak Business Development, AWS Worldwide Oil & Gas © 2018 | Amazon Web Services. All rights reserved. Table of contents What to expect in 2018 » Let’s get started. re:Invent agenda » Oil & Gas sessions » This guide is designed to help attendees of AWS re:Invent 2018 plan their experience and identify breakout sessions and events of interest. It is intended to complement the re:Invent app, Other recommended sessions » which will help attendees navigate the conference on-site. Networking opportunities » Click on the links to navigate this guide. Executive Summit overview » Event venues and logistics » AWS Oil & Gas contacts » © 2018 | Amazon Web Services. All rights reserved. What to expect Networking re:Invent Agenda Oil & Gas Other Recommended Executive Summit Event Venue AWS Oil & Gas in 2018 Sessions Sessions Opportunities Overview and Logistics Expert Contacts What Where AWS re:Invent is a learning conference hosted by Amazon Web We are taking over Las Vegas--with events at the ARIA, Vdara, Services (AWS) for the global cloud computing community. -
Foregrounding Narrative Production in Serial Fiction Publishing
University of Rhode Island DigitalCommons@URI Open Access Dissertations 2017 To Start, Continue, and Conclude: Foregrounding Narrative Production in Serial Fiction Publishing Gabriel E. Romaguera University of Rhode Island, [email protected] Follow this and additional works at: https://digitalcommons.uri.edu/oa_diss Recommended Citation Romaguera, Gabriel E., "To Start, Continue, and Conclude: Foregrounding Narrative Production in Serial Fiction Publishing" (2017). Open Access Dissertations. Paper 619. https://digitalcommons.uri.edu/oa_diss/619 This Dissertation is brought to you for free and open access by DigitalCommons@URI. It has been accepted for inclusion in Open Access Dissertations by an authorized administrator of DigitalCommons@URI. For more information, please contact [email protected]. TO START, CONTINUE, AND CONCLUDE: FOREGROUNDING NARRATIVE PRODUCTION IN SERIAL FICTION PUBLISHING BY GABRIEL E. ROMAGUERA A DISSERTATION SUBMITTED IN PARTIAL FULLFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN ENGLISH UNIVERSITY OF RHODE ISLAND 2017 DOCTOR OF PHILOSOPHY DISSERTATION OF Gabriel E. Romaguera APPROVED: Dissertation Committee: Major Professor Valerie Karno Carolyn Betensky Ian Reyes Nasser H. Zawia DEAN OF THE GRADUATE SCHOOL UNIVERSITY OF RHODE ISLAND 2017 Abstract This dissertation explores the author-text-reader relationship throughout the publication of works of serial fiction in different media. Following Pierre Bourdieu’s notion of authorial autonomy within the fields of cultural production, I trace the outside influence that nonauthorial agents infuse into the narrative production of the serialized. To further delve into the economic factors and media standards that encompass serial publishing, I incorporate David Hesmondhalgh’s study of market forces, originally used to supplement Bourdieu’s analysis of fields. -
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding Anjishnu Kumar Arpit Gupta Julian Chan Amazon.com Amazon.com Amazon.com [email protected] [email protected] [email protected] Sam Tucker Bjorn Hoffmeister Markus Dreyer Amazon.com Amazon.com Amazon.com [email protected] [email protected] [email protected] Stanislav Peshterliev Ankur Gandhe Denis Filiminov Amazon.com Amazon.com Amazon.com [email protected] [email protected] [email protected] Ariya Rastrow Christian Monson Agnika Kumar Amazon.com Amazon.com Amazon.com [email protected] [email protected] [email protected] Abstract This paper presents the design of the machine learning architecture that underlies the Alexa Skills Kit (ASK) a large scale Spoken Language Understanding (SLU) Software Development Kit (SDK) that enables developers to extend the capabil- ities of Amazon’s virtual assistant, Alexa. At Amazon, the infrastructure powers over 25,000 skills deployed through the ASK, as well as AWS’s Amazon Lex SLU Service. The ASK emphasizes flexibility, predictability and a rapid iteration cy- cle for third party developers. It imposes inductive biases that allow it to learn robust SLU models from extremely small and sparse datasets and, in doing so, re- moves significant barriers to entry for software developers and dialogue systems arXiv:1711.00549v4 [cs.CL] 2 Mar 2018 researchers. 1 Introduction Amazon’s Alexa is a popular digital assistant that was not designed around a smart phone, but rather as a service for ambient computing [1] in the home. Due to the intuitiveness of the Voice User Interface (VUI), the demand from software engineering teams for voice controlled features far out- stripped the pace at which the language experts designing Alexa’s SLU system could accommodate them. -
Modernizing Your Contact Center with Amazon Connect
Modernizing your Contact Center with Amazon Connect © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Maintaining effective contact centers has never been more urgent How do I keep my How do I set up a help How do I manage contact center desk to rapidly inquiry volume that operational while my staff respond to customers outpaces are working about a global crisis? my current contact from home? center’s capacity? © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Empowering agents to work from anywhere “ Amazon Connect enables us to create job opportunities $27k Monthly savings for people who have a good reason to work from home. To us, that means people with disabilities, military Minutes to spouses and people in economically depressed areas. onboard The pay-as-you-go pricing allows us to add new agents 20 new agents simply by creating new users in the Amazon Connect console and it helps us save money by doing so. Our agents have found Amazon Connect reliable and we’ve seen a dramatic decrease in agent churn. ” 100% Remote workforce - Jonas Nicholson, CEO – Direct Interactions © 2020, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Customer Service supports… Amazon strives to be earth’s most Millions customer Dozenscentric company 32 of customers of languages countries Over 70,000 Customer Service Associates Amazon Connect is helping companies transform customer experience Easy to use, omnichannel cloud-based contact-center service that scales to support businesses of any size Amazon Connect Skills-based Voice & chat Real-time and High-quality Pay-as-you-go contact routing recording historical analytics voice capability pricing © 2020, Amazon Web Services, Inc. -
User Guide Amazon Chime User Guide
Amazon Chime User Guide Amazon Chime User Guide Amazon Chime: User Guide Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Amazon Chime User Guide Table of Contents What is Amazon Chime? ..................................................................................................................... 1 Joining an Amazon Chime meeting quickly .................................................................................... 1 How to get started with Amazon Chime ....................................................................................... 1 Creating an Amazon Chime administrator account .......................................................................... 1 Getting started .................................................................................................................................. 2 System requirements .................................................................................................................. 2 Windows ........................................................................................................................... 2 macOS ............................................................................................................................. -
Amazon Lex Guida Per Gli Sviluppatori Amazon Lex Guida Per Gli Sviluppatori
Amazon Lex Guida per gli sviluppatori Amazon Lex Guida per gli sviluppatori Amazon Lex: Guida per gli sviluppatori Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Amazon Lex Guida per gli sviluppatori Table of Contents Che cos'è Amazon Lex? ...................................................................................................................... 1 Primo utilizzo di Amazon Lex? ..................................................................................................... 2 Come funziona ................................................................................................................................... 3 Lingue supportate ....................................................................................................................... 5 Lingue e lingue supportate ................................................................................................... 5 Lingue e impostazioni locali supportate dalle caratteristicheAmazon Lex ...................................... 5 Modello di programmazione ........................................................................................................