Cloud for Ceos: Measure Innovation with One Metric

Total Page:16

File Type:pdf, Size:1020Kb

Cloud for Ceos: Measure Innovation with One Metric Cloud for CEOs: Measure innovation with one metric Adrian Cockcroft, Vice President of Cloud Architecture Strategy, Amazon Web Services executive insights Executive Summary How do you know if your company is truly innovative? To digitally transform an enterprise, let alone become a disruptor such as Netflix or Amazon, businesses need to connect with their customers, understand their needs, and respond faster than ever. The most successful organizations of today are disrupting their competitors and entering new markets by innovating more quickly and efficiently. The ability of an enterprise to innovate isn’t about technology adoption, it’s about people. Being an innovator requires overcoming challenges in four areas: culture, skills, organization, and risk management. Get these right, and you will be able to leverage technologies such as cloud computing and machine- RATE YOUR SPEED OF INNOVATION learning to innovate. The path to innovation is no longer a mystery. We know how leaders are unlocking growth How long does it take your company to through competitive advantage, and we know how to turn an idea into customer value? measure it. The most critical metric is how long it takes for an innovative idea to reach a customer. If it takes your company months, how can you compete with an months !"#$ %! organization that delivers in days? This is why its critically important to know the time-to-value for each of your days product teams. If time-to-value is short, then many key minutes behaviors and metrics are trending in the right direction. As a leader, showing that you care about reducing time-to- Do some work Value to Customer value provides clear guidance to your organization. executive insights You can’t feel disruption until company’s time to value is the key metric it’s too late that predicts business success. Were you an originator, or a replicator? The word “disruption” conjures a jarring experience. We imagine a dropped telephone call or an internet connection that suddenly Digital transformation is about reaching fails. But when it comes to disruption in new customers business, the experts suggest the experience The phrase “digital transformation” of being disrupted is much harder to detect. has become enterprise shorthand for “We studied 3,600 companies. Famous cases technology updates like moving to cloud. of companies or industries completely going However there is a disruption in the away because of disruption are actually quite business model that is driving this change. In today’s era of rare,” said Omar Abbosh, CEO of Accenture’s Many businesses historically sell products Media and Technology business. “Much volatility, there is through intermediaries. Consumer products more common is what we call compressive through retail stores, airlines and hotels no other way but disruption; where the profit streams of through travel agents, TV studios through to re-invent. The companies become squeezed over time…. And networks of TV stations. Car manufacturers that’s a giant problem because it actually feels through dealers. Until recently, companies only sustainable normal.” didn’t have a direct connection to the advantage you can As much as CEOs fear disruptors cropping consumers of their products. Even where have over others up in their industry, concern might be better direct contact was possible most retailers placed on the readiness of their organization or taxi companies, for example, didn’t know is agility, that’s it. to innovate. We see three levels of innovation who was in their stores or cars. The digital Because nothing helping companies move forward and stay connection to each customer is the new else is sustainable, competitive; incrementally better services capability driving digital transformation. (the table stakes), new gap-filling value Netflix knows what it’s viewers are everything else you creators (addressing pain in the market), and watching, Amazon knows what it’s create, somebody entirely new customer experiences leveraging customers are buying. Tesla knows how you else will replicate. emerging technologies (unexpected offerings). drive your car. Think about a company that These are the kinds of innovations that grant makes door locks. They send boxes of metal enterprises sustainable advantages, market to a hardware store and hope they are sold. Jeff Bezos, Amazon share, and customer loyalty. In every case, your Warranty returns need to be minimized, founder executive insights but could be used to find problems in the their customers, and embrace fast changes. product, and their IT department primarily They’ve used cloud computing to support a supported employees doing design and huge increase in the scale and global reach manufacturing. But if the lock company of their operations. We see this first-hand makes a connected door lock, they can tell because AWS is a key supplier and partner If you run how long it sits on the shelf in the store for the biggest and most successful digital your software before being installed, they can see how transformations. often it’s used, how long the battery lasts, innovation in the and when the lock is replaced. To remain Four blockers of innovation: Culture, skill, same traditional competitive, the lock company needs to organization, and risk model as a create an electronic device with software If the vast majority of business leaders update capability, build a secure IoT web physical product agree that their business must digitally service, create a mobile application, and transform to survive, why aren’t they revving innovation cycle, setup a data lake so they can understand their innovation engines to arrive at the how to optimize the product. Their you will be left future sooner than their competitors? In developers and IT department need to reality, businesses and IT departments are behind. learn many new technologies, and run them in a balancing act; straddling old and new globally at scale. That’s transformation and worlds. In the old world, employees worked its driven by the need to connect directly on computers at their desks, sales channels with customers. were mostly indirect, factories and supply To go through a digital transformation, you chains used a lot of paper forms and offline need to support a lot of innovation, and tools, and marketing consisted of television, much of it is software-driven innovation. radio, and print advertising. In the new world, The pace of development for physical IT creates mobile productivity applications products is relatively slow, so existing for employees, and automation is pervasive development processes tend to be slow. and integrated. Factories and supply If you run your software innovation in chains are connected and instrumented the same traditional model as a physical in detail to optimize quality and minimize product innovation cycle, you will be left work in progress, sales and delivery are behind. The digital transformation winners connected directly to the end user, products have innovated quickly to personalize are communicating constantly with their customer experiences, harness customer supplier, and every customer’s voice can analytics, manage new direct channels to be heard instantly around the world on executive insights social media. IT is no longer just a cost Skills shortages are often cited as blocking center supporting employees. Technology new technology adoption. As the pace of has become the business. As we work on technology increases, it’s not practical to digital transformations for the world’s think of skills as a fixed thing that is hired largest enterprises, four common innovation as part of building a team to run a project blocking patterns emerge: culture, skills, based on a specific technology. Technology organization, and risk. skills are continuously developed by teams Culture is the set of common understandings of developers exploring new technologies and operating principles in an organization. as they emerge and mature. Leaders should It is hard to maintain a consistent culture foster a “learning organization” culture, across an organization. It takes time to build where new ideas are explored and shared or change a culture, and culture is too easy as a matter of course. To make the learning to destroy. Many organizations lack focused culture work leaders offer incentives that principles or have grown through acquisition, encourage staff to learn new skills and stick and have a “warring tribes” culture that around when they become experienced. renders parts of the business dysfunctional. There is always a market for the latest Culture starts with the CEO, and will be and most valuable skills, so staff tend to reflected in who they hire and promote, as move on to better paid opportunities. As well as how they manage incentives, goals an extreme example, Netflix has an annual and decision making across the organization. “mark-to-market” compensation process Slow and centralized decision making, low that pays staff what they would make if trust, and ineffective feedback loops sink they were being hired today, with what they many enterprise transformations. Jeff Bezos know today. Given that Netflix deliberately created a culture around leadership principles runs at the leading edge of technology, The speed at which and customer feedback practices at Amazon. this helps them build and retain one of the most experienced and skilled development data is available This culture has scaled into a large, fast growing and diverse global enterprise. Reed organizations - which is also one of the most dictates the speed Hastings optimized Netflix for extreme agility highly paid development organizations. at which decisions by focusing on a single product, centralizing For more insight on the Netflix approach to the team, and using a high-trust culture of talent management, read the book Powerful can be made. freedom and responsibility to create a hard- by Patty McCord. But beware: this book will to-copy sustained advantage. make conventional HR heads explode! A more executive insights realistic approach might be to have a skills service, and operates it.
Recommended publications
  • Velocity London 2018
    Building Resilient Serverless Systems @johnchapin | symphonia.io John Chapin • Currently Partner, Symphonia • Former VP Engineering, Technical Lead • Data Engineering and Data Science teams • 20+ yrs experience in govt, healthcare, travel, and ad-tech • Intent Media, RoomKey, Meddius, SAIC, Booz Allen Agenda • What is Serverless? • Resiliency • Demo • Discussion and Questions What is Serverless? Serverless = FaaS + BaaS! • FaaS = Functions as a Service • AWS Lambda, Auth0 Webtask, Azure Functions, Google Cloud Functions, etc... • BaaS = Backend as a Service • Auth0, Amazon DynamoDB, Google Firebase, Parse, Amazon S3, etc... go.symphonia.io/what-is-serverless Serverless benefits • Cloud benefits ++ • Reduced cost • Scaling flexibility • Shorter lead time go.symphonia.io/what-is-serverless Serverless attributes • No managing of hosts or processes • Self auto-scaling and provisioning • Costs based on precise usage (down to zero!) • Performance specified in terms other than host size/count • Implicit high availability, but not disaster recovery go.symphonia.io/what-is-serverless Resiliency “Failures are a given and everything will eventually fail over time ...” –Werner Vogels (https://www.allthingsdistributed.com/2016/03/10-lessons-from-10-years-of-aws.html) K.C. Green, Gunshow #648 Werner on Embracing Failure • Systems will fail • At scale, systems will fail a lot • Embrace failure as a natural occurrence • Limit the blast radius of failures • Keep operating • Recover quickly (automate!) Failures in Serverless land • Serverless is all about using vendor-managed services. • Two classes of failures: • Application failures (your problem, your resolution) • All other failures (your problem, but not your resolution) • What happens when those vendor-managed services fail? • Or when the services used by those services fail? Mitigation through architecture • No control over resolving acute vendor failures.
    [Show full text]
  • How Are the Leaders of the Most Digitally Savvy Companies
    Executive Traits for Recognizing the Bountiful Opportunities Ahead CONCLUSION Author By Krishnan Ramanujam President, Business and Technology Services, Tata Consultancy Services Industries are being reordered today by the confluence of four technologies: cloud computing (which makes supercomputing power affordable even for startup firms), artificial intelligence (which ups the IQ of products, people and processes), big data and analytics (which turn operational chaos into coherency), and the internet of things (which lets us track products, people, customers, and premises around the clock/around the world). But why do so many companies ignore the transformation that is happening now around them? In their new book, MIT professors Andrew McAfee and Erik Brynjolfsson argue (as Kuhn did about scientific revolutions) that it is difficult to change long-accepted beliefs. “Existing processes, customers and suppliers, pools of expertise, and more general mindsets can all blind incumbents to things that should be obvious, such as the possibilities of new technologies that depart greatly from the status quo,” they write in Machine, Platform, Crowd: Harnessing Our Digital Future.70 It’s why “so many of the smartest and most experienced people and companies … [are] the least able to see” a transformation that they won’t escape. 70 Andrew McAfee and Erik Brynjolfsson, Machine, Platform, Crowd: Harnessing Our Digital Future (W.W. Norton & Company), published June 2017. http://books. wwnorton.com/books/Machine-Platform-Crowd/ Accessed July 28, 2017. 91 Is such blindness avoidable? I think so. To most successful companies of the last do so, senior executives need to sharpen 10 years—Apple, Amazon, and Netflix— or develop five traits that may have rapidly recognize the potential of AI and sat dormant in them, but which I think automation, cloud computing, IoT and reside in all of us.
    [Show full text]
  • AWS with Corey Quinn
    SED 745 Transcript EPISODE 745 [INTRODUCTION] [00:00:00] JM: Amazon Web Services changed how software engineers work. Before AWS, it was common for startups to purchase their own physical servers. AWS made server resources as accessible as an API request, and AWS has gone on to create higher-level abstractions for building applications. For the first few years of AWS, the abstractions were familiar. S3 provided distributed reliable objects storage. Elastic MapReduce provided a managed cloud Hadoop system. Kinesis provided a scalable queuing system. Amazon was providing developers with managed alternatives to complicated open source software. More recently, AWS has started to release products that are completely novel. They’re unlike anything else. A perfect example is AWS Lambda, the first function as a service platform. Other newer AWS products include Ground Station, which is a service for processing satellite data; and AWS DeepRacer, a miniature race car for developers to build and test machine learning algorithms on. As AWS has grown into new categories, the blog announcements for new services and features have started coming so frequently that is hard to keep track of it all. Corey Quinn is the author of Last Week in AWS, a popular newsletter about what is changing across Amazon Web Services. Corey joins the show today to give his perspective on the growing shifting behemoth that is Amazon Web Services as well as the other major cloud providers that have risen to prominence. Corey is the host of the Screaming in the Cloud podcast, which you should check out if you like this episode.
    [Show full text]
  • K12 Education Leaders! on Behalf of AWS, We Are Excited for You to Join Us for AWS Re:Invent 2020!
    © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Welcome K12 Education Leaders! On behalf of AWS, we are excited for you to join us for AWS re:Invent 2020! This year’s virtual conference is going to be the industry event of the year. It is free of charge and will offer 5 Keynotes, 18 Leadership Sessions, and unlimited access to hundreds of sessions. We are happy to have you along for the journey! To help you prepare and be ready for this 3-week event, we’ve created this guide of suggested sessions and keynotes for K12 education. This is only a starting point. There is much more content on the AWS re:Invent website. Step 1: Register for re:Invent Once you register you will be able to search all 500+ sessions. Step 2: Register for Edu Rewind AWS education has also created weekly re:Invent Rewind sessions for education organizations to discuss announcements and takeaways throughout the event. Step 3: Follow @AWS_EDU on Twitter to join the conversation. We look forward to seeing you there! Learn 500+ sessions covering core services and emerging technologies will be available at your fingertips over 3 weeks. With hours of content to comb through, our team recommends the following sessions for K12 education professionals. K12 Session Recommendations LEADERSHIP TALKS Reimagine business applications from the ground up BIZ291-L DEC 1, 2020 | 2:15 PM - 3:15 PM EST Harness the power of data with AWS Analytics ANT291-L DEC 9, 2020 | 12:15 PM - 1:15 PM EST AWS security: Where we’ve been, where we’re going SEC291-L DEC 8, 2020
    [Show full text]
  • Analyzing Dynamic Capabilities in the Context of Cloud Platform Ecosystems - a Case Study Approach
    Junior Management Science 2(3) (2017) 124-172 Volume 2, Issue 3, December 2017 Advisory Editorial Board: DOMINIK VAN AAKEN JUNIOR FREDERIK AHLEMANN CHRISTOPH BODE ROLF BRÜHL MANAGEMENT JOACHIM BÜSCHKEN LEONHARD DOBUSCH RALF ELSAS DAVID FLORYSIAK SCIENCE GUNTHER FRIEDL WOLFGANG GÜTTEL CHRISTIAN HOFMANN Yasmin Le, The State of the Art in Cryptocurrencies 1 KATJA HUTTER LUTZ JOHANNING Fabian Müller, Einfluss von Commitment und Affekten STEPHAN KAISER auf das Investitionsverhalten in Projekten 11 ALFRED KIESER NATALIA KLIEWER Marcus Pfeiffer, Biases bei betriebswirtschaftlichen Junior Management Science Entscheidungen in Großprojekten und DODO ZU KNYPHAUSEN-AUFSEß SABINE T. KÖSZEGI Lösungsansätze: Aktueller Stand der Theorie ARJAN KOZICA und Empirie 48 TOBIAS KRETSCHMER HANS-ULRICH KÜPPER Simon Hux, Ankereffekt und Risikoprämie anhand einer REINER LEIDL Crowdfunding-Kampagne 73 ANTON MEYER GORDON MÜLLER-SEITZ Anastasia Kieliszek, Corporate Divestment Decision GÜNTER MÜLLER-STEWENS Factors: A Systematic Review 104 BURKHARD PEDELL MARCEL PROKOPCZUK Kevin Rudolph, Analyzing Dynamic Capabilities in the TANJA RABL Context of Cloud Platform Ecosystems - A Case SASCHA RAITHEL Study Approach 124 ASTRID REICHEL KATJA ROST MARKO SARSTEDT DEBORAH SCHANZ ANDREAS G. SCHERER STEFAN SCHMID UTE SCHMIEL CHRISTIAN SCHMITZ PHILIPP SCHRECK GEORG SCHREYÖGG LARS SCHWEIZER DAVID SEIDL journal homepage: www.jums.academy THORSTEN SELLHORN ANDREAS SUCHANEK ORESTIS TERZIDIS ANJA TUSCHKE SABINE URNIK STEPHAN WAGNER BARBARA E. WEIßENBERGER ISABELL M. WELPE HANNES WINNER CLAUDIA B. WÖHLE THOMAS WRONA THOMAS ZWICK Published by Junior Management Science e. V. Analyzing Dynamic Capabilities in the Context of Cloud Platform Ecosystems - A Case Study Approach Kevin Rudolph Technische Universität Berlin Abstract Dynamic capabilities (DCs) refer to a firm’s abilities to continuously adapt its resource base in order to respond to changes in its external environment.
    [Show full text]
  • Download.Oracle.Com/Docs/Cd/B28359 01/Network.111/B28530/Asotr Ans.Htm
    SCUOLA DI DOTTORATO IN INFORMATICA Tesi di Dottorato XXIV Ciclo A Distributed Approach to Privacy on the Cloud Francesco Pagano Relatore: Prof. Ernesto Damiani Correlatore: Prof. Stelvio Cimato Direttore della Scuola di Dottorato in Informatica: Prof. Ernesto Damiani Anno Accademico 2010/2011 Abstract The increasing adoption of Cloud-based data processing and storage poses a number of privacy issues. Users wish to preserve full control over their sensitive data and cannot accept it to be fully accessible to an external storage provider. Previous research in this area was mostly addressed at techniques to protect data stored on untrusted database servers; however, I argue that the Cloud architecture presents a number of specific problems and issues. This dissertation contains a detailed analysis of open issues. To handle them, I present a novel approach where confidential data is stored in a highly distributed partitioned database, partly located on the Cloud and partly on the clients. In my approach, data can be either private or shared; the latter is shared in a secure manner by means of simple grant-and-revoke permissions. I have developed a proof-of-concept implementation using an in-memory RDBMS with row-level data encryption in order to achieve fine-grained data access control. This type of approach is rarely adopted in conventional outsourced RDBMSs because it requires several complex steps. Benchmarks of my proof- of-concept implementation show that my approach overcomes most of the problems. 2 Acknowledgements I want to thank
    [Show full text]
  • Failure Modes and Effects Analysis (FMEA)
    A R C 3 3 5 - R Designing for failure: Architecting resilient systems on AWS Adrian Cockcroft Harsha Nippani Vinay Kola VP, Cloud Architecture Solutions Architect Software Engineer Amazon Web Services Amazon Web Services Snap Inc. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Agenda • Risk and resilience • Technical considerations • Customer use case: Snap • Continuous resilience • Related sessions • AWS whitepaper © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. “Everything fails, all the time” - Werner Vogels (CTO, Amazon.com) Business continuity How much data can you afford to How quickly must you recover? recreate or lose? What is the cost of downtime? Disaster Recovery point (RPO) Recovery time (RTO) Data loss Downtime mission Availability by the numbers Level of availability Percent uptime Downtime per year Downtime per day 1 Nine 90% 36.5 Days 2.4 Hours 2 Nines 99% 3.65 Days 14 Minutes 3 Nines 99.9% 8.76 Hours 86 Seconds 4 Nines 99.99% 52.6 Minutes 8.6 Seconds 5 Nines 99.999% 5.26 Minutes 0.86 Seconds Daily Downtime in Seconds 1 Nine 2 Nines 3 Nines 4 Nines 5 Nines 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 Daily Downtime in Seconds Multi-AZ architecture Region • Enables fault-tolerant applications Availability Zone • AWS Regional services designed to withstand AZ failures • Leveraged in the Amazon S3 design for 99.999999999% durability Availability Zone Availability Zone Multi-AZ Zero blast radius! Well-Architected Framework AWS Shared Responsibility Model Resilient AWS infrastructure
    [Show full text]
  • Startup Attendee Guide
    © 2020, Amazon Web Services, Inc. its affiliates. All rights reserved. or Welcome! © 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. On behalf of AWS, we are excited for you to join us for re:Invent 2020! This year’s virtual conference is going to be the industry event of the year. It will offer 5 Keynotes, 18 Leadership Sessions, and unlimited access to hundreds of sessions. We are happy to have you along for the journey! To be sure you are prepared and ready to take on our 3-week event, we’ve created this guide full of tips and tricks provided directly from re:Invent alumni, teams, and staff on how to maneuver our free virtual event successfully. Step 1 – Register Be sure to take advantage of the resources outlined in this document. We’ve curated them to offer you advice on how to plan a successful 3-week agenda. The full schedule, including dates, times, and locations, goes live in early November. In the meantime, use this document to start thinking about how you’ll plan your 3 weeks. We look forward to seeing you there! Leadership Partners & Overview Keynotes Learn Make a Plan Communities Play Checklist Contact Sessions Sponsors Continuous Content Every Week Access hours of sessions led by AWS experts, hear from cloud leaders, and be the first to learn what's next and new from AWS. AWS re:Invent attendees should expect to: • Learn firsthand about AWS services from recognized world experts. • Focus on key services that matter most to their businesses and interests.
    [Show full text]
  • Chief of the Year: Amazon's Werner Vogels
    Jan. 9, 2009 Chief Of The Year: Amazon’s Werner Vogels Amazon’s CTO is the face of the new tech leader: a technologist who can articulate the business value of a technology like cloud computing to customers. This report examines how Vogels ended up in this role at the cutting edge of business technology leadership. IN THIS REPORT The New Face Of Tech Leadership . .2 Vogels On Architecture And His Role . .9 What We Can Learn From This Year’s Chief . .14 Copyright 2009 United Business Media LLC. Important Note: This PDF is provided solely as a reader service. It is not intended for reproduction or public distribution. For article reprints, e-prints and permissions please contact: PARS International Corp., 102 West 38th Street, Sixth Floor, New York, NY 10018 ; (212) 221-9595; www.magreprints.com/quickquote.asp Werner Vogels The New Face Of Tech Leadership FROM AN EIGHTH-FLOOR CONFERENCE ROOM at Amazon .com’s headquarters on Beacon Hill, with an expansive view of down- town Seattle to the north, Werner Vogels contemplates how large companies might use cloud computing. He points to system automa- tion and “autoscaling” beyond what IT departments have implement- ed internally. He envisions “partner clouds” of shared IT resources, Amazon’s data, and applications. He even suggests FedEx could one day run its customer-facing vital package-tracking application in the cloud. CTO and cloud evangelist is “For most of these things, redefining the role it’s really Day 1,” says of the business Amazon’s bearish CTO— technologist he’s 6 feet, 5 inches tall— dressed, as usual, in gray and black.
    [Show full text]
  • Data-Intensive Text Processing with Mapreduce
    Data-Intensive Text Processing with MapReduce Synthesis Lectures on Human Language Technologies Editor Graeme Hirst, University of Toronto Synthesis Lectures on Human Language Technologies is edited by Graeme Hirst of the University of Toronto.The series consists of 50- to 150-page monographs on topics relating to natural language processing, computational linguistics, information retrieval, and spoken language understanding. Emphasis is on important new techniques, on new applications, and on topics that combine two or more HLT subfields. Data-Intensive Text Processing with MapReduce Jimmy Lin and Chris Dyer 2010 Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 Introduction to Linguistic Annotation and Text Analytics Graham Wilcock 2009 Dependency Parsing Sandra Kübler, Ryan McDonald, and Joakim Nivre 2009 Statistical Language Models for Information Retrieval ChengXiang Zhai 2008 Copyright © 2010 by Morgan & Claypool All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher. Data-Intensive Text Processing with MapReduce Jimmy Lin and Chris Dyer www.morganclaypool.com ISBN: 9781608453429 paperback ISBN:
    [Show full text]
  • Response Resolver Maps Response from Data Source to Graphql Response Via Velocity Template
    M O B 3 1 8 - R AWS AppSync does that: Support for alternative data sources Josh Kahn Senior Solutions Architect Amazon Web Services © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS AppSync • Fully managed API layer • Implemented in GraphQL • Database agnostic • Enterprise security built in • Real-time support (via GraphQL subscriptions) • Offline SDKs (AWS Mobile SDK for iOS, AWS Mobile SDK for Android, AWS SDK for JavaScript in the Browser) Out-of-the-box data sources Amazon Elasticsearch Service Amazon DynamoDB /graphql AWS AppSync AWS Lambda Amazon Aurora Serverless HTTP AWS services “Seldom can one database fit the needs of multiple distinct use cases. The days of the one-size-fits-all monolithic database are behind us, and developers are now building highly distributed applications using a multitude of purpose-built databases.” Dr. Werner Vogels CTO of Amazon.com © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS AppSync bookstore • What functionality do we need? • What data sources might power that functionality? AWS AppSync bookstore: Cart detail • What functionality do we need? • What data sources might power that functionality? AWS AppSync bookstore architecture AWS Cloud Amazon ES DynamoDB Amazon DynamoDB Lambda Streams function VPC Lambda Amazon ElastiCache AWS AppSync function Lambda Amazon Neptune function AWS Step Functions workflow Amazon Simple Queue Lambda Lambda REST API Service function function Goodreads AWS AppSync resolvers Request resolver Maps payload to underlying data source via Velocity template to execute query/mutation. /graphql AWS AppSync DynamoDB Response resolver Maps response from data source to GraphQL response via Velocity template.
    [Show full text]
  • Amazon Strategy Teardown
    Amazon Strategy Teardown AMAZON’S BARRELING INTO PHYSICAL RETAIL, FINANCIAL SERVICES, HEALTHCARE, AND AI-LED COMPUTING 1 Seattle-based Amazon is doubling down on AI for AWS and the ecosystem around its AI assistant, Alexa. It’s seeking to become the central provider for AI-as-a-service. But it’s not leaving retail behind either, running grocery, book, and convenience stores across the US. Amazon is the exception to nearly every rule in business. Rising from humble beginnings as a Seattle-based internet bookstore, Amazon has grown into a propulsive force across at least 5 major industries: retail, logistics, consumer technology, cloud computing, and most recently, media & entertainment. Notably, Amazon’s $13.7B purchase of grocery chain Whole Foods last year shook up the grocery industry, highlighting Amazon’s increasingly deep push into brick-and-mortar retail. Of course, the company has had its share of missteps — the expensive Fire phone flop comes to mind — but Amazon is also rightly known for strokes of strategic genius that have launched it ahead of competitors in promising new industries. This was the case with the launch of cloud business AWS in the mid-2000s, as well as the more recent consumer hit Amazon found with its Echo device and Alexa AI assistant. Today’s Amazon is far more than just an “everything store;” it’s a leader in consumer-facing AI and enterprise cloud services. And its insatiable appetite for new markets means competitors must always be on guard against its next moves. As the United States’ biggest online retailer, the company accounts for about 4% of all retail and about 44% of all e-com- merce spending in the US.
    [Show full text]