Cloud Platforms Today: The Big Picture

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1 Cloud Platforms Today: The Big Picture David Chappell Chappell & Associates Mobile Workforce Big Data Cloud Computing Social Enterprise Privacy and Security

2 The traditional world

3 The new default On-premises packaged applications are becoming SaaS applications Cloud platforms are the new foundation for competitive advantage This isn t the post- PC era, but it is the PC+ era

4

5 A simple summary Compute Data Everything else Run new applications Might run existing packaged and custom applications Store and access information Analyze information Identity, machine learning, media services, integration, This category keeps on growing

6 Compute services Infrastructure as a Service (IaaS) Platform as a Service (PaaS) Application Create and use virtual machines VM VM Supporting Services VM VM Provide applications VM Images

7 Data services Blobs Relational Can also run a relational or NoSQL DBMS in IaaS VMs NoSQL

8 Others Identity Machine Learning Lots More SaaS and On-Premises Applications Data Machine Learning Algorithms... Directory Service Application Model

9 Example vendors and technologies Compute Data Others IaaS PaaS Blobs Relational NoSQL Identity Machine Learning Microsoft Azure Amazon Web Services Google Cloud Platform Salesforce.com Force.com

10 October 2012 AWS is out in front Microsoft and Google don t yet offer IaaS What?

11 August 2013 Google doesn t yet offer IaaS AWS is further out in front Microsoft began offering IaaS two months earlier IBM is in real trouble

12 May 2014 AWS is still in front But it s a twohorse race Google has finally entered the market Look where the other big enterprise vendors are

13 May 2015 AWS still leads Microsoft has closed the gap a bit HP is gone Google has moved up some IBM s position has gotten worse

14 Microsoft Supports Windows Server and Linux Compute Data Others IaaS PaaS Blobs Relational NoSQL Identity Machine Learning Microsoft Azure Virtual Machines App Service, Service Fabric, Cloud Services Blobs SQL Database DocumentDB, Tables, Azure Active Directory Azure ML Amazon Web Services Google Cloud Platform Salesforce.com Force.com

15 An assessment Microsoft was slow in offering IaaS Although it s recovering quickly from that delay Microsoft has strong customer relationships Microsoft is a core enterprise vendor for most organizations Microsoft emphasizes hybrid clouds Connecting on-premises resources with cloud resources

16 Amazon Compute Data Others IaaS PaaS Blobs Relational NoSQL Identity Machine Learning Microsoft Azure Virtual Machines App Service, Service Fabric, Cloud Services Blobs SQL Database DocumentDB, Tables, Azure Active Directory Azure ML Amazon Web Services Elastic Compute Cloud (EC2) Elastic Beanstalk Simple Storage Service (S3) Relational Database Service (RDS) DynamoDB, Amazon ML Google Cloud Platform Salesforce.com Force.com

17 An assessment AWS is a startup that got it right immediately Their first offerings were IaaS and blobs These are still the two most widely used cloud platform technologies Amazon is viewed as a leader in this market They were the first mover in public cloud platforms AWS is focused on the public cloud Amazon has called private cloud false cloud

18 Google Compute Data Others IaaS PaaS Blobs Relational NoSQL Identity Machine Learning Microsoft Azure Virtual Machines App Service, Service Fabric, Cloud Services Blobs SQL Database DocumentDB, Tables, Azure Active Directory Azure ML Amazon Web Services Elastic Compute Cloud (EC2) Elastic Beanstalk Simple Storage Service (S3) Relational Database Service (RDS) DynamoDB, Amazon ML Google Cloud Platform Compute Engine App Engine Cloud Storage Cloud SQL Cloud Datastore, Prediction API Salesforce.com Force.com

19 An assessment Google began with App Engine Like Microsoft, Google initially bet that the market wanted PaaS Their IaaS offering is relatively new Google appears serious about cloud platforms (finally) Compute Engine now supports Windows Server But they don t monetize their cloud platform through ads it s odd for them Expect them to be a price leader They ve said that cloud platform prices should follow Moore s Law

20 Salesforce Compute Data Others IaaS PaaS Blobs Relational NoSQL Identity Machine Learning Microsoft Azure Virtual Machines App Service, Service Fabric, Cloud Services Blobs SQL Database DocumentDB, Tables, Azure Active Directory Azure ML Amazon Web Services Elastic Compute Cloud (EC2) Elastic Beanstalk Simple Storage Service (S3) Relational Database Service (RDS) DynamoDB, Amazon ML Google Cloud Platform Compute Engine App Engine Cloud Storage Cloud SQL Cloud Datastore, Prediction API Salesforce.com Force.com Force.com Force.com Database Salesforce Identity

21 An assessment Force.com is typically sold as an adjunct to Salesforce CRM It s PaaS, so it s intended for new custom apps Force.com is aimed at enterprise developers Some apps can be built solely with point-and-click tools Developers can also use Apex, a Salesforce language Customer lock-in to Force.com is total The platform, language, and tools are all proprietary There s no lock-in like cloud lock-in Microsoft Dynamics CRM includes xrm, a similar PaaS platform

22 March 2015 In front because this MQ is focused on enterprise applications Released before Azure, yet still a challenger But it s a twohorse race The rest of the PaaS market is a crowded mess

23 An assessment IBM s overall revenue has declined for 13 consecutive quarters IBM began with various halfhearted cloud initiatives None seemed serious None got much traction with customers IBM bought SoftLayer for $2 billion in mid-2013 SoftLayer was half hoster, half cloud provider IBM highlights SoftLayer s ability to provide both VMs and physical servers IBM announced a plan to spend $1.2 billion on cloud But it s spread across many datacenters Microsoft spends this to build a single datacenter

24 An assessment Initially encouraged hosters to offer IaaS with vcloud Hosters didn t much like this Uptake was limited Currently offer vcloud Air themselves It provides IaaS based on vsphere in VMware datacenters vcloud Air isn t a complete public cloud platform It s mostly VMs Customers can also buy some Google Cloud Platform services through vcloud Air, e.g., blobs

25 July 2015 AWS is in the leaders quadrant So is Azure Google is a ways behind Everybody else is a niche vendor

26 Microsoft IaaS PaaS Storage

27 A summary Amazon Google Salesforce.com Microsoft IBM VMware HP

28

29 A more detailed look Collaboration Productivity SaaS Applications Custom Applications Public Cloud Platform IaaS PaaS Blobs NoSQL Identity ML CRM... Relational... PCs/Laptops Clients Tablets Phones

30 Microsoft Exchange Online SharePoint Online Office Online SaaS Applications Custom Applications Microsoft Azure Virtual Machines App Service, Service Fabric Blobs Tables, DocumentDB Azure AD Machine Learning Dynamics CRM... SQL Database... Windows 10 Clients Windows 10 Windows 10 Mobile

31 Amazon Workmail Collaboration Productivity SaaS Applications Custom Applications Amazon Web Services EC2 Elastic Beanstalk S3 DynamoDB Identity Machine Learning CRM... RDS... PCs/Laptops Clients Kindle Fire Phones

32 Google Gmail Collaboration Google Docs SaaS Applications Custom Applications Google Cloud Platform Compute Engine App Engine Cloud Storage Cloud Datastore Identity Prediction API CRM... Cloud SQL... Chrome Clients Android Android

33 Salesforce.com Collaboration Productivity SaaS Applications Custom Applications Force.com IaaS App Logic Blobs Database Identity ML CRM... Relational... PCs/Laptops Clients Tablets Phones

34 IBM Collaboration Productivity SaaS Applications Custom Applications SoftLayer Virtual Servers Bluemix Object Storage Cloudant Identity ML CRM... Relational... PCs/Laptops Clients Tablets Phones IBM is partnering with Apple here

35 VMware Collaboration Productivity SaaS Applications Custom Applications vcloud Air IaaS PaaS Object Storage NoSQL Identity ML CRM... Relational... PCs/Laptops Clients Tablets Phones

36

37 David Chappell is Principal of Chappell & Associates (www.davidchappell.com) in San Francisco, California. Through his speaking, writing, and consulting, he helps people around the world understand, use, and make better decisions about new technology. David has been the keynote speaker for more than a hundred events and conferences on five continents, and his seminars have been attended by tens of thousands of IT leaders, architects, and developers in fifty countries. His books have been published in a dozen languages and used regularly in courses at MIT, ETH Zurich, and other universities. In his consulting practice, he has helped clients such as Hewlett-Packard, IBM, Microsoft, Stanford University, and Target Corporation adopt new technologies, market new products, and educate their customers and staff.

38 #latamcxoforum join the conversation

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