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C90-01A - Fundamental Cloud Computing(C90.01) - Dump Information

Vendor : SOA
Exam Code : C90-01A
Exam Name : Fundamental Cloud Computing(C90.01)
Questions and Answers : 69 Q & A
Updated On : February 15, 2019
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C90-01A Questions and Answers

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C90-01A Fundamental Cloud Computing(C90.01)

Study Guide Prepared by SOA Dumps Experts C90-01A Dumps and Real Questions

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C90-01A exam Dumps Source : Fundamental Cloud Computing(C90.01)

Test Code : C90-01A
Test Name : Fundamental Cloud Computing(C90.01)
Vendor Name : SOA
Q&A : 69 Real Questions

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SOA Fundamental Cloud Computing(C90.01)

Cloud Computing and SOA Convergence: where we are, How We came, and the way to repair It | Real Questions and Pass4sure dumps

IT has turn into the one-most seen aspect of latency when a company needs to change. despite the fact, it doesn't ought to be this fashion. David S. Linthicum discusses how things bought astray and how SOA and Cloud Computing can repair it.

This chapter is from the e-book 
  • There are painters who transform the solar to a yellow spot, but there are others who with the assist of their paintings and their intelligence, radically change a yellow spot into the sun.
  • —Pablo Picasso (1881–1973)
  • it is Thursday morning, you're the CEO of a large, publicly traded company, and also you just referred to as your executives into the convention room for the exciting information: the board of administrators has approved the acquisition of a key competitor, and you are trying to find a name-to-action to get every person planning for the subsequent steps.

    You check with the revenue executives about the integration of each earnings forces inside three months, and they're excited about the new potentialities. You talk to the human supplies director, who is able to tackle the adjustments HR should make within two months. You talk to the buildings and upkeep director, who can have everybody moved who has to be moved within three months. Your heart is full of satisfaction.

    despite the fact, should you ask the CIO about changing the core business procedures to pressure the mixed corporations, the response is a lot much less enthusiastic. "i'm now not sure we are able to trade our IT structure to accommodate the adjustments in lower than 18 months, and that i'm now not even bound if it's viable," says the CIO. "We without difficulty won't have the capability or the capacity to integrate these systems. we will need new methods, a bigger statistics middle. . . ." You get the thought.

    because the CEO, you're nonplussed. while the different departments are capable of accommodate the company probability in fewer than 4 months, IT needs practically two years?

    In essence, IT has develop into the only-most seen aspect of latency when a business needs to trade. consequently, the ability to exchange is limited through IT. in this case, the merger isn't economically possible, and the executive team is left scratching their heads. They thought IT changed into about new tips on how to automate the business and had no idea how sluggish the IT individuals are to react to exchange.

    however, it doesn't ought to be this fashion. The survival of many agencies will depend upon a fundamental change within the manner we believe about and create our IT infrastructure going forward—that is, when you are willing to confess where you're and are willing to trade. there's much work to be carried out, and analyzing this ebook is a very good first step.

    IT considerations are most fulfilling understood via knowing its conventional background over the final 30 years as well as your enterprise's selected IT history. background tells you why things are they method they're. inspecting your business's IT heritage is well-nigh like collaborating in a 12-step program: you admit you have got a problem and are willing to look at how you came.

    it's additionally vital that you just check your ego at the door. IT folks customarily do not want to focus on blunders made during the past. certainly, many will defend unless the day they die all IT-linked selections that had been made in the past. however the point of analyzing the IT history is not about placing blame—it is ready recognizing what you're at the moment coping with and discovering how to repair it. in case you cannot open your eyes and mind to the latest problems, then analyzing the rest of this booklet will do you little or no respectable.

    If there is one difficulty that comes to intellect each and every and every time we study it's past mistakes, it is managing-via-journal. In essence, these charged with constructing and managing IT techniques regularly did not study what became top of the line for the enterprise however seemed as an alternative at what changed into most popular on the time or at what turned into being promoted within the general computer journals as the technology "required" to solve all issues.

    yet another concern is managing-by-inertia, or failing to do anything just since it is new and unknown. This issue is opposite to managing-with the aid of-journal: as an alternative of doing whatever just since it is familiar, we without problems take a seat on our current IT structure. typically, this lack of motion is rooted within the concern of change and the hazards linked to it.

    We had the structured computing revolution, which grew to become the item-oriented computing revolution, which became disbursed objects, which became part building, which grew to be enterprise aid planning, which grew to become client relations administration, which became carrier orientation—you get the conception. Of direction, i am lacking a bunch of alternative applied sciences that we "needed to have," including statistics warehousing, business intelligence, enterprise technique management—the record goes on and on.

    now not that these applied sciences have been bad issues; most have been not. youngsters, they'd the effect of distracting these in IT from the core issues of their company and focusing their consideration greater on the productized expertise than on the needs and requirements of the business. The distraction changed into effortless because analyzing and documenting company requirements changed into not as enjoyable as experimenting with new technologies and became now not a résumé-enhancing adventure.

    This focus extra on the solution than on the problem led to a layering effect within the commercial enterprise architectures. In essence, the architectures grew more complicated and cumbersome because the regularly occurring products of the day were being dragged into the statistics core and became an extra layer of complexity that each increased costs and made the enterprise structure much too fragile, tightly coupled, and complex to change.

    today we now have IT infrastructures and commercial enterprise architectures that are only too costly to preserve and complex to unattainable to trade. As company wants trade, including upturns and downturns in the economy, it's having an more and more harder time adjusting to meet the needs of enterprise. As in our instance initially of this chapter, CEOs are discovering that it's usually the latency within the business that causes delays and value overruns, and IT doesn't add price to the enterprise as it as soon as did. remember when IT become the solution and never the issue?

    IT departments have been more productive once they have been coding functions in COBOL on mainframes since it required them to be lean and cautious with their use of resources. today, we've practically too tons expertise and too many alternate options. We gave IT sufficient rope to dangle themselves, or at the least to get their IT architectures in a state that makes them tons less valuable to the business.

    5 primary SOA ideas that nonetheless practice to microservices | Real Questions and Pass4sure dumps

    Cloud computing and virtualization cleared the path for the emergence of microservices, however neither brought about the demise...

    of definite SOA concepts. to look where both align, take a step back from the particulars of implementation, and check out the benefits.

    The mission of SOA

    provider-oriented structure (SOA) construction addressed the onrush of authentic networked software. For 50 years, builders customarily developed software from modules that were constantly part of a larger monolithic application. advancements in networking brought forth the probability of distributing, scaling and redeploying accessories as mandatory.

    The primary SOA model aimed to capitalize on these networking advancements to be able to distribute utility accessories, find components via a listing service and fix them with out sacrificing safety or reliability. accessories might now supply capabilities to other accessories and purposes, trade requests and responses over a community, and use an API broker to find one one more.


    SOA and microservices share the conception of componentization. both architectures presume that purposes will divide into accessories and that a network connection will link these add-ons.

    Componentization allows for work to spread throughout diverse servers, which improves efficiency. It also helps crew building due to the fact add-ons be a part of at a standard, well-described interface.

    If we reinvented SOA these days from scratch, we'd just about definitely invent microservices instead.

    SOA additionally based the theory of network coupling, which specializes in the potential for an structure to deal with a element accessed by way of a network connection as although it turned into a native part. SOA implementations customarily carried out this through an evolved version of the historic far flung technique call, referred to as primary Object access Protocol.

    against this, microservices use the internet-oriented relaxation model. This difference effectively displays adjustments in programming practices caused by using the web. relaxation calls the features components, where SOA calls them objects, however the two are equivalent.

    Integration and discovery

    community coupling is also associated with the thought of discovery and late binding. A component would not integrate at building time -- which might be referred to as early binding -- however rather connects at runtime, which entails a discovery manner for the interface to the element, primary as the API.

    With SOA, the invention system hyperlinks to the time-honored Description, Discovery and Integration (UDDI) listing, whereas microservices use an API broker for a similar mission. This integration and discovery model makes it effortless to trade a carrier without interfering with the rest of the application or related applications.

    service independence

    yet another some of the SOA principles that still applies in microservices is language independence. functions do not should use the equal programming language, middleware or OS so long as they aid the regular API.

    Microservices are just a little greater independent of each other, considering that the RESTful APIs best use commonplace net-related equipment and programming conventions. This implementation independence helps with code reuse and helps disperse work throughout the widest variety of servers.

    provider classification

    SOA principles delivered the suggestion of different classifications of features. extensively, services can aid a enterprise function, akin to order entry, or a platform function, like journaling for compliance logging. Some SOA documents really outline four certain provider classes, further dividing the purposeful facet of the model.

    Microservices also follows this provider classification precept. although, SOA features are typically greater specific, whereas microservices usually classify functions with the aid of the facets they deliver in preference to how they're invoked and structured.


    an additional SOA concept that remains with microservices is the idea of software orchestration. With SOA, most purposes have been built round a service bus that provided message steerage according to enterprise guidelines, frequently authored in the enterprise procedure Execution Language.

    purposes linked to microservices can use lots of tools for orchestration, including the API broking service, a storefront part or even a mobile app.

    The exact differences

    SOA and microservices commonly vary greater on implementation than on principle. As a depend of follow in preference to policy, most SOA functions are built around an business provider bus that no longer handiest gives work steering inside an utility, however additionally between related purposes. SOA principles arguably subordinate componentization to within specific purposes, however this is more a remember of practice, as stated.

    yet another refined implementation change is that microservices are basically infrastructure tools instead of application equipment. SOA creates basic services, but with microservices, the components are as separated as sites are on the information superhighway. there is frequently more reuse of microservices amongst functions, making it extra vital to control the APIs and greater complex to count on software-selected models of deployment, redeployment and scaling.

    If we reinvented SOA nowadays from scratch, we would just about absolutely invent microservices as a substitute. it truly is now not because microservices are absolutely distinctive and new, however as a result of they solve an extended-standing issue rooted in software and networking concepts. SOA solved most of these complications in its time, and the primary concepts it brought are only as legitimate these days.

    The respectable news and the terrific news concerning the circulation to a carrier-based cloudy world | Real Questions and Pass4sure dumps

  • put up
  • secret_paopix

    provider Oriented architecture (SOA) market size is expected to attain 16.four billion USD with the aid of 2020, in keeping with ResearchMoz. “The 2014 analyze has 679 pages, 250 tables and figures. global markets are poised to obtain huge boom because the cloud computing for utility infrastructure and the sensible phone communications systems for apps are put in area.”


    additionally, again in 2012 TechNavio launched a report that predicts the international provider oriented architecture (SOA) governance market to grow at a compounded annual increase fee (CAGR) of 10.35% over the length 2011-2015. one of the vital key components contributing to this market growth is the automation of SOA governance, the record states. Cloud governance is additionally using this market — the SOA governance equipment and processes realized over the last decade at the moment are underpinning cloud initiatives as they scale across corporations.

    an awful lot of this increase, in line with both stories, will come from cloud computing, and some massive information increase as smartly. Clouds are provider-based, accordingly using SOA is pretty a whole lot the manner you’ll get to the cloud solutions. by way of default, SOA is a huge deal once more. as it continues to figure this out, we’re seeing market growth that no person is in reality noticing, nevertheless it’s there then again.

    SOA has become a bit of of a nasty or over-played buzzword. while heavily promoted about 10 years in the past, now it’s dwindled into the historical past at the back of cloud computing and massive information. youngsters, these in the be aware of remember that cloud computing and SOA are a good deal the same thing. Now many businesses are compelled to seem back at the fundamentals of SOA when it’s time to design and construct cloud-based mostly programs.

    The greatest fable of about SOA is that it’s whatever you purchase. It’s basically some thing you do—architecture. whereas the early drivers of SOA (myself included) tried to make this clear to the realm, in some way SOA as an idea became high-jacked by means of the advertising departments of colossal commercial enterprise application agencies. That’s when SOA grew to be commercial enterprise carrier buses (ESBs), utility servers, and service administration tools.

    The fact of the matter is that the use of functions within businesses become now not hampered by way of missing know-how accessories, but generally by means of the shortcoming of understanding of what service-primarily based options intended, and the way they should had been built and deployed. Many considered SOA a generally failed theory, however the fact of the remember is that it in no way failed and has never left us. The expertise might also have come up brief, seeing that that it changed into customarily over-priced and underwhelming. besides the fact that children, the SOA patterns have confirmed to be bullet proof, if carried out correctly.

    the use of carrier-based mostly structure is relatively an awful lot all cloud computing is these days. I just got back from Cloud Slam 2014 this week, the place the speak turned into about what’s critical to construct cloud-based techniques. using APIs, or functions, all the time comes up as the most effective solution to access cloud-based mostly platforms, and consequently via default they're all constructing provider-based mostly architectures. Let’s just name them SOAs…despite the fact that few use the S-be aware to any extent further.

    The decent information is, SOA continues to adapt. the way we described and leveraged SOA approaches 10 years in the past are a little bit distinct from the style we do them nowadays when the use of cloud. principally, these days we now have:

  • The increasing use of infrastructure functions, equivalent to storage, compute, and useful resource provisioning. Clouds assist you to access these services the use of net services or APIs. indeed, most cloud-primarily based capabilities are invoked to control capabilities, however they're carrier-primarily based architectures at the conclusion of the day.
  • The expanding use of analytical functions, which can be really information features that sit down in entrance of massive facts shops to provide static or dynamic analytical behaviors. as an instance, picking out the risk of a fiscal change, or even discovering fraud inside a enormous database.
  • The ability to stronger manipulate capabilities as tiers. An instance would be managing great-grained functions which are uncovered via IaaS suppliers, comparable to storage, at the lowest or most primitive tier. Or, managing services as companies, akin to provisioning or de-provisioning businesses of functions that help a critical application. Managing corporations of functions typically requires a aid governance device, or cloud management platforms (CMPs), which are actually used to manipulate multi-cloud structure. take into account that CMPs are truly about service governance, however typically manipulate logical groupings of functions.
  • The functions are a lot more mild weight, usually using rest. again in the day, it become cleaning soap (in lots of cases), which changed into manner too heavy for use in widely dispensed programs. Let’s no longer forget that bandwidth has improved vastly, as has the can charge and the energy of servers.
  • the upward push within the value and use of carrier catalogs. these days we've cloud services catalogs, typically present in CMP or different governance systems, that are built from the floor as much as music using public and personal cloud features, in addition to services from typical systems. These come to be being the “middle of the universe,” when it comes to where to control functions and summary these complexities far from users and from functions that leverage these cloud and non-cloud services.
  • So, what do we do now? Nothing. simply go along with it.

    It truly does not be counted in case you name the latest use of carrier-based mostly approaches SOA or blue cheese, it’s all about breaking down clouds, techniques, databases, and instruments as sets of capabilities, and comfortable, govern, and music these capabilities from a single listing system or cloud features catalog. by means of addressing methods as set of capabilities, we’re able to combine and suit these capabilities within applications or company tactics to solve company issues.

    What’s important here is that the use of services enables us to without delay create options, which adds a very good deal of cost to the business. youngsters, these capabilities also enable us to change the solutions, as crucial, to give organizations with the delivered talents of business agility. It’s no mystery that the core values of cloud computing are business agility and time-to-market, and people values come without delay from the service-oriented elements of cloud computing. Now do you take note the links somewhat enhanced?

    here is a narrative that remains being written. the use of functions is nothing new. SOA is certainly nothing new. Even facets of cloud computing are nothing new. What’s new is the cost that all of this generates for us, and how SOA’s very useful and efficient means of doing architecture in reality ‘made’ the cloud. possibly we’re coming full circle.

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    Fundamental Cloud Computing(C90.01)

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    Cloud Fundamentals Video – the State of Cloud Computing | real questions and Pass4sure dumps

    A new video was just published in Microsoft’s already well-known list of clips focused on cloud computing, included in the Cloud Fundamentals Video Series.

    However, unlike the previous episodes that focused on various aspects that cloud computing involved, or on the manner in which customers can assess whether a services provider could deliver better than another, the new installment takes a different approach.

    Featuring Scott Charney, corporate vice president for Trustworthy Computing at Microsoft, the video is meant to provide a series of details on the state of cloud computing at the moment. Of course, all is seen through the eyes of Scott Charney.

    In the clip, which can be seen embedded at the bottom of this article, you can watch Tim Rains, director, Trustworthy Computing, and Scott Charney discussing cloud computing and the changing relationship between people and computers.

    “Now we are talking about this massive computing power and aggregation of data in the cloud. Some of the issues are really extensions of existing computing paradigms,” Charney notes.

    “If you are thinking about moving your data to the cloud, to some extent you’re outsourcing your computing capability. You have to think about the capability of the outsourcer.”

    According to him, the cloud can deliver a great opportunity to aggregate, analyze and disseminate data at a much larger scale than ever before.

    He also explains that the new computing models that are based on virtualization can easily scale up and down, and that there is a focus on multi-tenancy, which implies that the security of customers’ data is dependent on the virtualized compartments that separate it from other data.

    “Scott notes we will have massive capabilities to analyze data in new ways that provide great societal benefits, but arguably pose risk to privacy,” Tim Rains explains.

    You can have a look at Scott’s perspective on cloud computing in the video below, or you can access some more videos in the Cloud Fundamental Series, to learn additional details on what Microsoft’s Trustworthy Computing has to say on the matter.

    Future Trends in Cloud Computing All Point to Optimization | real questions and Pass4sure dumps

    Given our focus on public cloud cost control, we here at ParkMyCloud are always trying to understand more about the future trends in cloud computing, specifically the public cloud infrastructure (IaaS) market. Now that public cloud has reached a key peak in growth, there’s a common theme. While new services and products continue to develop, more and more of them are focusing on not just creating capabilities that were previously lacking – they’re focused on optimizing what already exists.

    Are Cloud Services Still Growing?

    Before we dive into optimization, let’s take a look at how the cloud market continues to grow in 2019 and beyond. Gartner estimates that $206B will spent on public cloud services in 2019, up 17% from 2018 as outlined in the table below:

    And according to IDC, almost half of IT spending was cloud-based in 2018, “reaching 60% of all IT infrastructure and 60-70% of all software, services and technology spending by 2020.” So, between Gartner and IDC, no one expects cloud adoption and spending to slow down any time soon. So what’s driving this growth and what are the future trends in cloud computing we should be on the lookout for in 2019 and beyond?

    The Future Trends in Cloud Computing You’ve Probably Heard About

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    There is definitely a lot of hype around Blockchain, Quantum Computing, Machine Learning, and AI, as there should be. But at a more basic level, cloud computing is changing businesses in many ways. Whether it is the way they store their data, improving agility and go to market for faster release of new products and services, or how they store and protect their secure information, cloud computing is benefitting all businesses in every sector. Smart businesses are always looking for the most innovative ways to improve and accomplish their business objectives, i.e., make money.

    When it comes to cloud technology, more and more businesses are realizing the benefits that cloud can provide them and are beginning to seek more cloud computing options to conduct their business activities. And obviously, Amazon, Microsoft, Google, Alibaba, IBM, and Oracle plan to capture this spend by providing a dizzying array of IaaS and PaaS offerings to help enterprises build and run their services.

    How These Trends Make Computing Better

  • Containers Become Mainstream: Application containerization is more than just a new buzz-word in cloud computing; it is changing the way in which resources are deployed into the cloud. More and more companies utilized containers in 2018. This is another trend that will continue into 2019 and beyond. How it Optimizes: at a development level, containerization allows applications to be developed and deployed faster than ever before. If used efficiently, they can also result in a lower cloud bill.
  • Multi-Cloud and Hybrid Cloud: Once predicted as the future, the time of multi-cloud and hybrid cloud has arrived and will continue to grow. Most enterprises (74 percent) described their strategy as hybrid/multi-cloud in 2018. In addition, 62 percent of public cloud adopters are using 2+ unique cloud environments/platforms. These numbers will only go up in 2019. While this offers plenty of advantages to organizations looking to benefit from different cloud capabilities, using more than one CSP complicates governance, cost optimization, and cloud management further as native CSP tools are not multi-cloud. As cloud computing costs remain a primary concern, it’s crucial for organizations to stay ahead with insight into cloud usage trends to manage spend (and prevent waste).How it Optimizes: it’s a complex problem, but we do see many organizations adopting a multi-cloud strategy with cost control in mind, as it avoids vendor lock-in and allows flexibility for deploying workloads in the most cost-efficient manner (and at a high level, keeps the cloud providers competitive against each other to continually lower prices).
  • Growth of Managed Services: The global cloud managed services market grew rapidly in 2018 and is expected to reach USD 82.51 billion by 2025, according to a study conducted by Grand View Research, Inc. Enterprises are focusing on their primary business operations, which results in higher cloud managed services adoption. Business services, security services, network services, data center services, and mobility services are major categories in the cloud managed services market. Implementation of these services will help enterprises reduce IT and operations costs and will also enhance productivity of those enterprises.How it Optimizes: managed service providers – the good ones, anyway – are experts in their field and some of the most informed consumers of public cloud. By handing cloud operations off to an outside provider, companies are not only optimizing their own time and human resources – they’re also pushing MSPs to become efficient cloud managers so they can remain competitive and keep costs down for themselves and their customers.
  • Cloud Trends Are Always Evolving

    While today, it sometimes seems like we’ve seen the main components of cloud operations and all that’s left to do is optimize them, history tells us that’s not the case. Cloud has been and will continue to be a disruptive force in enterprise IT, and future trends in cloud computing will continue to shape the way enterprises leverage public, private and hybrid cloud. Remember: AWS was founded in 2006, the cloud infrastructure revolution is still in early days, and there is plenty more XaaS to be built.

    Author: Jay Chapel

    Jay Chapel is a co-founder and the CEO of ParkMyCloud, a lightweight web app to schedule on/off times for AWS EC2 instances. Prior to co-founding ParkMyCloud, Jay founded Ostrato in 2013, a provider of cloud management software. Before that, he spent 10+ years with Micromuse and IBM Tivoli, a… View full profile ›

    Top cloud providers 2019: AWS, Microsoft Azure, Google Cloud; IBM makes hybrid move; Salesforce dominates SaaS | real questions and Pass4sure dumps

    Special Feature

    The Art Of The Hybrid Cloud

    Cloud computing is insatiably gobbling up more of the backend services that power businesses. But, some companies have apps with privacy, security, and regulatory demands that preclude the cloud. Here's how to find the right mix of public cloud and private cloud.

    Read More

    The top cloud providers for 2019 have maintained their positions, but the themes, strategies, and approaches to the market are all in flux. The infrastructure-as-a-service wars have been largely decided, with the spoils going to Amazon Web Services, Microsoft Azure, and Google Cloud Platform, but new technologies such as artificial intelligence and machine learning have opened the field up to other players.

    Meanwhile, the cloud computing market in 2019 will have a decidedly multi-cloud spin, as the hybrid shift by players such as IBM, which is acquiring Red Hat, could change the landscape. This year's edition of the top cloud computing providers also features software-as-a-service giants that will increasingly run more of your enterprise's operations via expansion.

    One thing to note about the cloud in 2019 is that the market isn't zero sum. Cloud computing is driving IT spending overall. For instance, Gartner predicts that 2019 global IT spending will increase 3.2 percent to $3.76 trillion with as-a-service models fueling everything from data center spending to enterprise software.

    In fact, it's quite possible that a large enterprise will consume cloud computing services from every vendor in this guide. The real cloud innovation may be from customers that mix and match the following public cloud vendors in unique ways.

    Key 2019 themes to watch among the top cloud providers include:

  • Pricing power. Google recently raised prices of G Suite and the cloud space is a technology where add-ons exist for most new technologies. While compute and storage services are often a race to the bottom, tools for machine learning, artificial intelligence and serverless functions can add up. There's a good reason that cost management is such a big theme for cloud computing customers--it's arguably the biggest challenge. Look for cost management and concerns about lock-in to be big themes.
  • Multi-cloud. A recent survey from Kentik highlights how public cloud customers are increasingly using more than one vendor. AWS and Microsoft Azure are most often paired up. Google Cloud Platform is also in the mix. And naturally these public cloud service providers are often tied into existing data center and private cloud assets. Add it up and there's a healthy hybrid and private cloud race underway and that's reordered the pecking order. The multi-cloud approach is being enabled by virtual machines and containers.
  • Artificial intelligence, Internet of things and analytics are the upsell technologies for cloud vendors. Microsoft Azure, Amazon Web Services and Google Cloud Platform all have similar strategies to land customers with compute, cloud storage, serverless functions and then upsell you to the AI that'll differentiate them. Companies like IBM are looking to manage AI and cloud services across multiple clouds.
  • The cloud computing landscape is maturing rapidly yet financial transparency backslides. It's telling when Gartner's Magic Quadrant for cloud infrastructure goes to 6 players from more than a dozen. In addition, transparency has become worse among cloud computing providers. For instance, Oracle used to break out infrastructure-, platform- and software-as-a-service in its financial reports. Today, Oracle's cloud business is lumped together. Microsoft has a "commercial cloud" that is very successful, but also hard to parse. IBM has cloud revenue and "as-a-service" revenue. Google doesn't break out cloud revenue at all. Aside from AWS, parsing cloud sales has become more difficult.
  • To that end, we're taking a different approach to our cloud buying guide and breaking the players into the big four infrastructure providers, the hybrid players, and the SaaS crowd. This categorization has pushed IBM from being a big infrastructure-as-a-service player to a tweener that spans infrastructure, platform, and software. IBM is more private cloud and hybrid with hooks into IBM Cloud as well as other cloud environments. Oracle Cloud is primarily a software- and database-as-a-service provider. Salesforce has become about way more than CRM.

    Must read
  • 2018 Annual revenue: $25.65 billion
  • Annual revenue run rate based on latest quarter: $29.72 billion
  • AWS sees 2019 as an investment year, as it ramps its technology buildout as well as add sales personnel. Amazon didn't quantify the higher investment, but said it would update throughout the year.

    On a conference call with analysts, CFO Brian Olsavsky said 2018 was a lighter than expected year for capital expenditures. "AWS maintained a very strong growth rate and continued to deliver for customers," he said. "2018 was about banking the efficiencies of investments in people, warehouses, infrastructure that we had put in place in 2016 and '17."

    The cloud provider is the leader in infrastructure-as-a-service and moving up the stack to everything from the Internet of Things to artificial intelligence, augmented reality, and analytics. AWS is far more than an IaaS platform these days.  AWS grew 45 percent in the fourth quarter -- a clip that has been stable for the last year.

    When it comes to developers and ecosystem, AWS is hard to top. The company has a wide range of partners (VMware, C3, and SAP) and developers growing the ecosystem. AWS is typically the first beachhead for enterprise players before they expand to a multi-cloud approach.

    The big question is how far AWS can extend its reach. AWS can be a threat to Oracle on databases as well as a bevy of other companies. Via its VMware partnership, AWS also has a strong hybrid cloud strategy and can meet enterprise needs multiple ways.

    AWS' strategy was evident at its re:Invent conference. The show featured a barrage of services, new products, and developer goodies that was hard to track. Artificial intelligence is a key area of growth and a core sales pitch for AWS as it becomes a machine learning platform. According to 2nd Watch, AWS customers are going for these high-growth areas and seeing the cloud provider as a key cog for their machine learning and digital transformation efforts.

    Must read

    2nd Watch found that AWS' 2018 fastest growing services were the following:

  • Amazon Athena, with a 68-percent compound annual growth rate (measured by dollars spent with 2nd Watch) versus a year ago)
  • Amazon Elastic Container Service for Kubernetes at 53 percent
  • Amazon MQ at 37 percent
  • AWS OpsWorks at 23 percent
  • Amazon EC2 Container Service at 21 percent
  • Amazon SageMaker at 21 percent
  • AWS Certificate Manager at 20 percent
  • AWS Glue at 16 percent
  • Amazon GuardDuty at 16 percent
  • Amazon Macie at 15 percent
  • Based on 2nd Watch usage, the most popular AWS services are:

  • Amazon Virtual Private Cloud
  • AWS Data Transfer
  • Amazon Simple Storage Service
  • Amazon DynamoDB
  • Amazon Elastic Compute Cloud
  • AWS Key Management Service
  • AmazonCloudWatch
  • Amazon Simple Notification Service
  • Amazon Relational Database Service
  • Amazon Route 53
  • Amazon Simple Queue Service
  • AWS CloudTrail
  • Amazon Simple Email Service
  • Also: What serverless architecture really means, and where servers enter the picture

    Analytics and forecasting may be one area worth watching for AWS. As AWS rolls out its forecasting and analytics services, it's clear that the company can become more intertwined with real business functions. 

    aws-forecast-integration.png (Image: ZDNet)

    AWS' reach continues to expand in multiple directions, but perhaps the one to watch the most is the database market. AWS is capturing more database workloads and has emphasized its customer wins. A move to launch a fully managed document database takes direct aim at MongoDB. Should AWS capture more enterprise data, it will be entrenched for decades to come as it continues to evolve services and sell them to you. 

  • Commercial cloud annual revenue run rate as of latest quarter: $36 billion
  • Estimated Azure annual revenue run rate: $11 billion
  • Microsoft Azure is the solid No. 2 to AWS, but it's difficult to directly compare the two companies. Microsoft's cloud business -- dubbed commercial cloud -- includes everything from Azure to Office 365 enterprise subscriptions to Dynamics 365 to LinkedIn services. Nevertheless, Microsoft's strong enterprise heritage, software stack, and data center tools like Windows Server give it a familiarity and hybrid approach that wears well.



    (Image: Microsoft)

    For differentiation, Microsoft has focused heavily on AI, analytics, and the Internet of Things. Microsoft's AzureStack has been another cloud-meets-data center effort that has been a differentiator.

    Must read

    CEO Satya Nadella, on Microsoft's second quarter earnings conference call, said the company's cloud unit is honing in on verticals such as healthcare, retail, and financial services. This approach comes right out of the enterprise software selling playbook. 

    Nadella said:

    From a mix of services, it starts always with, I would say, infrastructure. So this is the edge and the cloud, the infrastructure being used as compute. In fact, you could say the measure of a company going digital is the amount of compute they use. So that's the base. Then on top of that, of course, all this compute means it's being used with data. So the data estate, one of the largest things that happens, is people consolidate the data that they have and so that they can reason over it.  And that's where things like AI services all get used. So we definitely see that path where they're adopting the layers of Azure.

    Simply put, Microsoft is selling a wide range of cloud products, but it's hard to break out software-as-a-service versus Azure, which would more directly compete with AWS.

    Macquarie estimates that Azure revenue in Microsoft's fiscal second quarter was $2.75 billion for an annualized run rate of about $11 billion. Sarah Hindlian, an analyst at Macquarie, said in a research note:

    Microsoft has been able to differentiate Azure in several critical ways, such as the company being both enterprise friendly and aggressive in layering in unique and incremental services such as Artificial Intelligence, Azure Stack, Azure Sphere, and a broad focus on edge computing and more advanced and complex workloads.

    Indeed, Microsoft's ability to target industries has also been a win. Notably, Microsoft has won over large retailers that don't want to partner with AWS since they compete with Amazon. Microsoft also began highlighting more customer wins including Gap as well as Fruit of the Loom.

    That take was also echoed elsewhere. Daniel Ives, an analyst at Wedbush, said AWS remains the big dog, but Microsoft has some unique advantages in the field -- notably a strong organization and ground game. Ives wrote:

    While Jeff Bezos and AWS continue to clearly be a major force in the emerging cloud shift over the coming years, we believe Microsoft with its army of partners and dedicated sales force have a major window of opportunity in 2019 to convert enterprises to the Azure/cloud platform based on our recent in-depth discussions with partners and customers.

    Simply put, Microsoft can couple Azure with its other cloud services such as Office 365 and Dynamics 365. With Azure, Microsoft has a well-rounded stack, ranging from infrastructure to platform to applications to run a business.

    Must read
  • Annual revenue run rate: $4 billion+
  • Google Cloud Platform has been winning larger deals, has a new leader with Oracle veteran Thomas Kurian and is seen as a solid counterweight to AWS and Microsoft Azure. However, Google isn't divulging annual revenue run rate or providing much guidance on its cloud financials.

    On Google's fourth quarter earnings conference call, CEO Sundar Pichai cited numerous data points for Google Cloud Platform (GCP). However, analysts were frustrated by the lack of revenue disclosed. To kick off 2018, Pichai said Google's cloud revenue was $1 billion a quarter evenly split between G Suite and GCP.

    In 2019, Pichai held back on his run rate chatter, so it's unclear whether GCP is gaining on AWS or Azure or just growing because the overall cloud pie is growing. Specifically, Pichai outlined the following:

  • The number of Google Cloud Platform (GCP) deals worth more than $1 million doubled.
  • The number of multiyear contracts doubled. "We're getting large wins, and I look forward to executing here," said Pichai.
  • G Suite has 5 million paying customers.
  • There's an uptick in the number of deals worth more than $100 million.
  • CFO Ruth Porat said:

    GCP does remain one of the fastest-growing businesses across Alphabet. As Sundar said, we've doubled the number of GCP contracts greater than $1 million. We're also seeing early nice uptick in the number of deals that are greater than $100 million, and really pleased with the success and penetration there. At this point, not updating further.

    Add it up, and GCP appears to be a solid No. 3 to AWS and Azure, but how distant it falls behind those two remains to be seen. Wall Street firm Jefferies is predicting that GCP will gain share over time.



    (Image: Jefferies)

    One move that could boost Google's cloud revenue is a move to increase G Suite prices for some users. G Suite, which competes directly with Microsoft's Office 365, is raising its prices for the first time. G Suite Basic will raise prices from $5 per user per month to $6. G Suite Business will go from $10 per user per month to $12. According to Google, G Suite Enterprise, which runs $25 per user a month, isn't impacted by the price increase.

    Competitively, the pricing moves are in line with Office 365.

  • Annual revenue run rate: $3.85 billion
  • Alibaba is the leading cloud provider in China and an option for multi-national companies building infrastructure there.

    In its December quarter, Alibaba delivered cloud revenue growth of 84 percent to $962 million. The company has rapidly added customers and is currently in the cloud buildout phase. To wit:

    Add it up, and Alibaba has a strong home-field advantage in China, but it also has global ambitions. Alibaba launched 678 products in the December quarter. Relationships with the likes of SAP are likely to put it on the radar for more enterprises with operations in China.

    While the big cloud providers add more to their stacks with AI as the differentiator, there's a market being carved out to manage multiple cloud providers. This crowd of cloud players used to focus on hybrid architecture to bridge data centers with public service providers, but now aim to be the infrastructure management plane.

    Also: What Kubernetes really is, and how orchestration redefines the data center

    Research by Kentik highlighted how the most common cloud combination was AWS and Azure, but there are customers working in Google Cloud Platform, too. According to the Kentik survey, 97 percent of respondents reported their companies use AWS, but 35 percent also said they actively use Azure too. Twenty-four percent use AWS and Google Cloud Platform together.



    (Image: Kentik)

    Also: What a hybrid cloud is in the 'multi-cloud era,' and why you may already have one 

  • Annualized as-a-service run rate: $12.2 billion
  • IBM's cloud strategy and its approach to AI have a lot in common. Big Blue's plan is to enable customers to manage multiple systems, services and providers and become the management console. IBM wants to be a part of your cloud environment as well as help you run it. In 2018, IBM launched OpenScale for AI, which is designed to manage multiple AI tools likely provided by the major cloud providers. IBM also launched multi-cloud tools. Think of IBM as the Switzerland of cloud adoption and computing services strategies.

    The move by enterprises to use multiple public cloud providers is interesting and provides the rationale for IBM's acquisition of Red Hat for $34 billion. IBM has its own public cloud and will deliver everything from platform-as-a-service to analytics to Watson and even quantum computing through it, but the big bet is that Big Blue with Red Hat can make it a leading cloud management player. For its part, IBM is taking its core intellectual property -- Watson, AI management, cloud integration -- and delivering it through multiple clouds.

    The Red Hat acquisition is a bet the farm move by IBM. It remains to be seen how the IBM and Red Hat cultures come together. On the bright side, the two companies have been hybrid cloud partners for years.

    Must read

    Indeed, IBM CFO James Kavanaugh on the company's fourth quarter earnings conference call reiterated the Red Hat reasoning and noted Big Blue is seeing more deals for IBM Cloud Private and its approach to "hybrid open" cloud environments. Kavanaugh added:

    Let me pause here to remind you of the value we see from the combination of IBM and Red Hat, which is all about accelerating hybrid cloud adoption. The client response to the announcement has been overwhelmingly positive. They understand the power of this acquisition and the combination of IBM and Red Hat capabilities in helping them move beyond their initial cloud work to really shifting their business applications to the cloud. They are concerned about the secure portability of data and workloads across cloud environments, about consistency in management and security protocols across clouds and in avoiding vendor lock-in. They understand how the combination of IBM and Red Hat will help them address these issues.

    Also: The AI, machine learning, and data science conundrum: Who will manage the algorithms? 

    IBM's as-a-service revenue run rate exiting the fourth quarter was $12.2 billion to make it a strong cloud provider, but not comparable to the likes of AWS and Azure today. It is quite possible that the strategies of all the large cloud providers ultimately converge.

    The new hybrid and multi-cloud landscape may be one of the more critical things to watch in the cloud wars for 2019. 

    Here are some key players to consider:

    VMware: It is part of the Dell Technologies portfolio, and it has had traditional data centers in the fold for years. The company emerged as a virtualization vendor and then adopted everything from containers to OpenStack to whatever else emerged. Perhaps, the best move for VMware was its tight partnership with AWS. This hybrid cloud partnership is a win-win for both parties and both companies have continued to build on their initial efforts. The partnership is so interesting that VMware is helping to bring AWS on premises. To wit:

    Of course, VMware also has its vRealize Suite, vCloud Air, VMware HCX, Cloud Management Platform, vSphere, and networking products.

    Dell Technologies and HPE: Both of these vendors have multiple products to operate data centers and are plugging into cloud providers. 

    HPE's plan boils down to multi-cloud, hybrid infrastructure that extends to the edge.



    (Image: HPE)

    And then, there's Cisco, which via acquisitions has built out a sizeable software portfolio. Cisco outlined a data center anywhere vision that revolves around plugging its application centric infrastructure (ACI) into multiple clouds. No matter how you slice the hybrid cloud game, the end state is the same: Multiple providers and private infrastructure seamlessly connected. Cisco also has partnerships with Google Cloud. Kubernetes, Istio, and Apigee serve as the glue in the Cisco-Google effort.

    While the hybrid cloud market was widely panned as legacy vendors cooking up new ways to sell hardware, the new multicloud world has more acceptance even among the former upstarts who wanted to turn the likes of IBM, VMware, Dell, and HPE into dinosaurs.

    The SaaS market also highlights how vendors and their changing strategies and acquisition plans make cloud classification more difficult. In the 2018 edition of our cloud rankings, Oracle was lumped into the AWS, Azure, and GCP crowd largely because it was trying to play in the IaaS market.

    While CTO Larry Ellison still seems to be obsessed with AWS, Oracle is essentially a software- and database-as-a-service company. Perhaps Oracle's efforts to automate the cloud and cook up next-gen infrastructure pay off, but for now, the company is really about software. Salesforce via the acquisition of MuleSoft has also changed its stripes a bit and added an integration spin to the cloud strategy (and even a bit of traditional software licensing). SAP has grown into a sizable cloud player and Workday has opened its ecosystem.

    Covering every SaaS player is beyond the scope of this overview, but there are a group of vendors that could be called SaaS+. These cloud service providers extend into platforms and all of these vendors have multiple SaaS products that can run your business.

  • Annual cloud services and license support revenue run rate: $26.4 billion
  • ERP and HCM annualized revenue: $2.6 billion
  • In Gartner's 2018 Magic Quadrant for IaaS, the research firm narrowed the field to just cloud companies. Oracle made the cut. It wouldn't be surprising if Oracle was reclassified in 2019 out of the infrastructure race.

    Let's get real: Oracle is a SaaS provider and there's no shame in that. In fact, Oracle is damn good at the SaaS game and has everything covered from small- and mid-sized enterprises via NetSuite to large companies migrating on-premise software to the cloud.

    But the real differentiation with Oracle is its database. The company has a massive installed base, an autonomous database that aims to take away grunt work and the potential to put its technology on more clouds beyond its own. Oracle is pitching itself as a Cloud 2.0 player.

    For now, Oracle is a bit obsessive about AWS. Consider:

    Andy Mendelsohn, executive vice president of database server technologies at Oracle, said it's very early in the cloud migration of databases. "In the SaaS world it's a mature market where enterprise customers have accepted they can run HR and ERP in the cloud," he said. "Database in the cloud has very little adoption."

    Mendelsohn said what Oracle sees more of is customers using services like Cloud at Customer and a private cloud approach to moving databases. Initiatives like Oracle's autonomous database may be more about a private cloud approach, he said.

    Among smaller companies, databases are more prevalent in the cloud because there's less investment needed.

    "The big battleground will revolve around the data. It's the core asset at every company out there," he said.

    Cloud at Customer is part of how Oracle sees its multi-cloud strategy. Analysts have raised concerns that Oracle should run its software and databases on more clouds.

    Following Oracle's second quarter earnings in December, Stifel analyst John DiFucci said:

    While we continue to think Oracle is well-positioned in the SaaS market, we remain more cautious around PaaS/IaaS, both in terms of top-line revenue and associated cap-ex implications.

    While there is little question in our mind that Oracle's installed base is extremely secure, we believe that a large portion of net new database workloads are going to non-Oracle platforms (hyperscale solutions, NoSQL, open source, etc).

    We remain cautious on Oracle's IaaS efforts and support the notion of Oracle increasing support for other clouds.

    Mendelson said that Oracle has worked with multiple vendor strategies throughout its history, so it's not much of a stretch to see multi-cloud emerge over time.

  • Annual cloud revenue run rate:$14 billion
  • Sales Cloud annual revenue run rate: $4 billion
  • Service Cloud annual revenue run rate: $3.6 billion
  • Saleforce Platform & Other annual revenue run rate: $2.8 billion
  • Marketing and Commerce Cloud annual revenue run rate: $2 billion
  • Salesforce started as a CRM company 20 years ago and has expanded into everything from integration to analytics to marketing to commerce. Woven throughout the Salesforce clouds are add-ons such as Einstein, an AI system.

    Simply put, Salesforce wants to be a digital transportation platform that is targeting fiscal 2022 goal of revenue between $21 billion to $21 billion.

    Most cloud vendors -- public, private, hybrid or otherwise -- will tell you the game is capturing data under management. Salesforce also sees the promise of being the data platform of record.



    (Image: Salesforce)

    Enter Salesforce's Customer 360. The master plan is to use Customer 360 to enable Salesforce customers to connect all their data into one view. The idea isn't exactly original, but Salesforce's argument is that it can execute better and put the customer at the center of the data universe.

    Add it up, and Salesforce is becoming a platform bet for its customers. Salesforce co-CEO Keith Block said the company is landing more deals worth $20 million or more and recently renewed a nine-figure win with a financial services company. Marc Benioff, co-CEO and chairman, said that Einstein AI is being added into all of the company's clouds.

    Must read

    Salesforce has also partnered well with the likes of Apple, IBM, Microsoft (in some areas), AWS, and Google Cloud.

    The go-to-market strategy for Salesforce revolves around selling multiple clouds and developing industry specific applications such as the company's Financial Services Cloud.

    Block said:

    I've traveled around the world meeting with more than 100 CEOs and world leaders. The conversation is consistent everywhere I go. It's about digital transformation. It's about leveraging our technology. It's about our culture, and it's about our values. This C-level engagement is translating into more strategic relationships than ever.

    For 2019, there's little on the radar -- short of a broad economic downturn -- that would derail Salesforce's momentum. Yes, Oracle and SAP remain fierce rivals with the latter actively pitching its next-gen CRM system, but Salesforce is seen as a digital transformation engine. Microsoft is another competitor worth watching, since it also wants to offer a single view of the customer. Dynamics 365 is becoming more competitive with Salesforce. With its Marketing Cloud, Salesforce competes with Adobe. As Salesforce continues to expand so will its competitive set.

    More on Salesforce:
  • Annual cloud subscriptions and support revenue: €5 billion
  • Annual cloud revenue run rate: €5.64 billion
  • SAP has a sprawling cloud software business that runs from ERP and HR to expenses (Concur) as well as Ariba. The company is primary enterprise software, but customers are migrating to the cloud. SAP's approach rhymes with Oracle's strategy, but there's a key difference: SAP will run on multiple clouds.

    CEO Bill McDermott noted the SAP cloud partners on the company's fourth quarter earnings call. "SAP has strong partnerships with Microsoft, Google, Amazon, Alibaba, and others to embrace this value creation opportunity," he said. "Customers can run on-premise, in a private cloud or in the public cloud. It's their choice."



    (Image: SAP)

    The SAP cloud lineup consists of the following:

  • SAP S/4HANA Cloud
  • SAP SuccessFactors
  • SAP Cloud Platform, Data Hub (which are hybrid plays)
  • SAP C/4 HANA
  • Business network software (Ariba, Concur, and Fieldglass)
  • In the end, SAP is a mix of traditionally licensed software and cloud versions. CEO Bill McDermott also outlined some big growth goals. For 2019, SAP is projecting cloud subscription and support revenue between €6.7 to €7.0 billion.

    Going forward, SAP is projecting cloud subscription and support revenue of €8.6 to €9.1 billion. By 2023, SAP wants to triple cloud subscription and support revenue from the 2018 tally.

    More on SAP:
  • Annual cloud revenue run rate: $3 billion
  • Workday made its name with human capital management, expanded into financials and ERP, and is adding analytics via a series of acquisitions.

    Before AWS became an Oracle obsession, Workday was a primary target of Larry Ellison's rants. Those verbal barbs from Ellison became a tell that Workday was faring well.

    Most of Workday's revenue derives from HCM, but the company is starting to sell financials along with it. In other words, Workday is trying to develop that multi-cloud playbook that Salesforce has going. That said, Workday also has a lot of runway for HCM. Workday hasl half of the Fortune 50 as customers and about 40 percent of the Fortune 500.

    The analytics business for Workday is being developed via acquisition. Workday acquired Adaptive Insights, a business planning player, and will target analytics workloads.

    While Workday fared well on its own, the company was slow to broaden its ecosystem and run on infrastructure from the public cloud giants. Workday has opened up to allow customers to run on AWS and that's a big move that could pay dividends in the future.

    The company also launched the Workday Cloud Platform, which allows customers to write applications inside of Workday via a set of application programming interfaces. The Workday Cloud Platform, launched in 2017, makes its platform more flexible and open.

    In 2019, you can expect Workday to explore expansion ito more industries beyond education and government. Healthcare could be an option for a broader effort.

    Robynne Sisco, CFO of Workday, said at an investor conference in December:

    When you think about expanding in terms of industry operational systems, there's really a lot that we could do going forward. We could do retail. We could do hospitality. As of right now, we've got a lot of things we're working on. So we're staying where we are. But industry does become very important when you talk about selling financials.

    Workday is also targeting more mid-sized businesses with Workday Launch, a fixed-fee, preconfigured application package.

    The competitive set for Workday is Oracle and SAP for HCM and Financials. Also watch Salesforce, which is a Workday partner and potential foe in the future. Another wild card for Workday will be Microsoft, which is integrating LinkedIn more for HR analytics.

    More on Workday: More on cloud management: More on vendor management: More on Internet of Things: More on cloud vs data center:

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    SOA C90-01A Exam (Fundamental Cloud Computing(C90.01)) Detailed Information


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