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IBM Application Development with IBM

appropriate cloud providers 2019: AWS, Microsoft Azure, Google Cloud; IBM makes hybrid circulation; Salesforce dominates SaaS | Real Questions and Pass4sure dumps

special feature

The paintings Of The Hybrid Cloud

Cloud computing is insatiably gobbling up more of the backend capabilities that vigor businesses. but, some groups have apps with privateness, protection, and regulatory demands that preclude the cloud. here's the way to discover the right mix of public cloud and private cloud.

read greater

The precise cloud suppliers for 2019 have maintained their positions, but the themes, techniques, and tactics to the market are all in flux. The infrastructure-as-a-provider wars have been largely determined, with the spoils going to Amazon internet capabilities, Microsoft Azure, and Google Cloud Platform, however new applied sciences similar to artificial intelligence and computer getting to know have opened the container as much as different gamers.

meanwhile, the cloud computing market in 2019 could have a decidedly multi-cloud spin, as the hybrid shift by way of players such as IBM, which is buying red Hat, could alternate the landscape. This 12 months's edition of the appropriate cloud computing providers additionally elements application-as-a-carrier giants in order to more and more run greater of your commercial enterprise's operations by way of enlargement.

One aspect to notice in regards to the cloud in 2019 is that the market is rarely zero sum. Cloud computing is using IT spending common. for instance, Gartner predicts that 2019 global IT spending will boost 3.2 p.c to $3.seventy six trillion with as-a-service models fueling every little thing from data middle spending to enterprise utility.

truly, it be quite feasible that a huge enterprise will consume cloud computing features from every seller during this e-book. The real cloud innovation may be from consumers that mix and healthy right here public cloud providers in wonderful approaches.

Key 2019 topics to observe among the appropriate cloud suppliers include:

  • Pricing vigor. Google recently raised expenses of G Suite and the cloud space is a expertise where add-ons exist for many new technologies. while compute and storage functions are often a race to the backside, equipment for computer learning, synthetic intelligence and serverless functions can add up. there's an outstanding motive that cost management is such a huge theme for cloud computing purchasers--it be arguably the greatest challenge. seek charge administration and considerations about lock-in to be massive issues.
  • Multi-cloud. A recent survey from Kentik highlights how public cloud valued clientele are more and more the use of a couple of supplier. AWS and Microsoft Azure are most frequently paired up. Google Cloud Platform is also within the combine. And naturally these public cloud provider suppliers are sometimes tied into present records middle and private cloud property. Add it up and there's a healthy hybrid and private cloud race underway and that's the reason reordered the pecking order. The multi-cloud method is being enabled through virtual machines and containers.
  • synthetic intelligence, internet of things and analytics are the upsell applied sciences for cloud companies. Microsoft Azure, Amazon web functions and Google Cloud Platform all have identical concepts to land shoppers with compute, cloud storage, serverless capabilities after which upsell you to the AI that'll differentiate them. companies like IBM are looking to manipulate AI and cloud functions across distinctive clouds.
  • The cloud computing landscape is maturing rapidly yet financial transparency backslides. or not it's telling when Gartner's Magic Quadrant for cloud infrastructure goes to 6 avid gamers from greater than a dozen. moreover, transparency has become worse among cloud computing suppliers. as an instance, Oracle used to break out infrastructure-, platform- and utility-as-a-carrier in its monetary reviews. these days, Oracle's cloud company is lumped collectively. Microsoft has a "business cloud" that is awfully a success, but additionally complicated to parse. IBM has cloud revenue and "as-a-carrier" profits. Google doesn't get away cloud income in any respect. other than AWS, parsing cloud revenue has turn into more intricate.
  • To that end, we're taking a distinct method to their cloud buying book and breaking the players into the big 4 infrastructure suppliers, the hybrid avid gamers, and the SaaS crowd. This categorization has pushed IBM from being a large infrastructure-as-a-provider player to a tweener that spans infrastructure, platform, and application. IBM is more inner most cloud and hybrid with hooks into IBM Cloud as well as other cloud environments. Oracle Cloud is primarily a application- and database-as-a-provider company. Salesforce has turn into about method more than CRM.

    have to study
  • 2018 Annual profits: $25.65 billion
  • Annual salary run rate according to newest quarter: $29.seventy two billion
  • AWS sees 2019 as an funding year, because it ramps its expertise buildout in addition to add earnings personnel. Amazon did not quantify the better funding, but stated it could update all the way through the yr.

    On a convention name with analysts, CFO Brian Olsavsky mentioned 2018 become a lighter than anticipated yr for capital expenditures. "AWS maintained a very effective growth fee and continued to carry for purchasers," he spoke of. "2018 was about banking the efficiencies of investments in people, warehouses, infrastructure that they had put in location in 2016 and '17."

    The cloud issuer is the chief in infrastructure-as-a-provider and relocating up the stack to everything from the web of things to artificial intelligence, augmented fact, and analytics. AWS is way over an IaaS platform at the present time.  AWS grew forty five p.c in the fourth quarter -- a clip that has been reliable for the final 12 months.

    When it comes to developers and ecosystem, AWS is hard to top. The enterprise has a wide range of companions (VMware, C3, and SAP) and developers turning out to be the ecosystem. AWS is typically the first beachhead for enterprise players earlier than they extend to a multi-cloud method.

    The large question is how a long way AWS can extend its reach. AWS will also be a danger to Oracle on databases in addition to a bevy of different companies. by way of its VMware partnership, AWS additionally has a robust hybrid cloud strategy and can meet enterprise needs distinct methods.

    AWS' strategy turned into evident at its re:Invent convention. The reveal featured a barrage of features, new items, and developer goodies that became complicated to tune. synthetic intelligence is a key area of growth and a core income pitch for AWS because it becomes a desktop researching platform. based on 2nd Watch, AWS clients are going for these high-increase areas and seeing the cloud issuer as a key cog for their computer studying and digital transformation efforts.

    need to read

    2nd Watch found that AWS' 2018 quickest turning out to be capabilities have been the following:

  • Amazon Athena, with a sixty eight-p.c compound annual boom fee (measured with the aid of dollars spent with 2nd Watch) versus a year ago)
  • Amazon Elastic Container service for Kubernetes at fifty three percent
  • Amazon MQ at 37 p.c
  • AWS OpsWorks at 23 p.c
  • Amazon EC2 Container carrier at 21 percent
  • Amazon SageMaker at 21 p.c
  • AWS certificate supervisor at 20 %
  • AWS Glue at sixteen %
  • Amazon GuardDuty at 16 %
  • Amazon Macie at 15 %
  • based on 2nd Watch utilization, the most universal AWS features are:

  • Amazon digital deepest Cloud
  • AWS facts transfer
  • Amazon fundamental Storage provider
  • Amazon DynamoDB
  • Amazon Elastic Compute Cloud
  • AWS Key administration provider
  • AmazonCloudWatch
  • Amazon primary Notification provider
  • Amazon Relational Database carrier
  • Amazon Route fifty three
  • Amazon basic Queue carrier
  • AWS CloudTrail
  • Amazon elementary e mail service
  • also: What serverless architecture in reality ability, and the place servers enter the image

    Analytics and forecasting could be one area worth gazing for AWS. As AWS rolls out its forecasting and analytics features, or not it's clear that the enterprise can turn into greater intertwined with precise business features. 

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

    AWS' reach continues to expand in varied instructions, however possibly the one to observe the most is the database market. AWS is shooting more database workloads and has emphasised its client wins. A movement to launch a totally managed doc database takes direct goal at MongoDB. should AWS trap more business statistics, it could be entrenched for a long time to come back as it continues to conform functions and sell them to you. 

  • commercial cloud annual earnings run fee as of newest quarter: $36 billion
  • Estimated Azure annual salary run cost: $11 billion
  • Microsoft Azure is the strong No. 2 to AWS, nonetheless it's difficult to without delay evaluate the two groups. Microsoft's cloud company -- dubbed commercial cloud -- contains every little thing from Azure to office 365 enterprise subscriptions to Dynamics 365 to LinkedIn functions. nevertheless, Microsoft's robust enterprise heritage, software stack, and statistics center equipment like home windows Server supply it a familiarity and hybrid approach that wears well.



    (picture: Microsoft)

    For differentiation, Microsoft has concentrated heavily on AI, analytics, and the internet of things. Microsoft's AzureStack has been a further cloud-meets-data middle effort that has been a differentiator.

    ought to study

    CEO Satya Nadella, on Microsoft's 2nd quarter income conference name, said the company's cloud unit is honing in on verticals such as healthcare, retail, and fiscal capabilities. This method comes appropriate out of the business utility selling playbook. 

    Nadella talked about:

    From a mixture of capabilities, it begins always with, i'd say, infrastructure. So this is the part and the cloud, the infrastructure being used as compute. definitely, you could say the measure of a company going digital is the volume of compute they use. So that's the bottom. Then on properly of that, of route, all this compute ability it's being used with facts. So the information estate, one of the crucial greatest issues that occurs, is individuals consolidate the information that they have got and a good way to intent over it.  and that is the reason where things like AI functions all get used. So they basically see that path the place they're adopting the layers of Azure.

    without difficulty put, Microsoft is selling a wide range of cloud items, however's complicated to escape software-as-a-service versus Azure, which would greater directly compete with AWS.

    Macquarie estimates that Azure earnings in Microsoft's fiscal second quarter was $2.75 billion for an annualized run expense of about $11 billion. Sarah Hindlian, an analyst at Macquarie, pointed out in a analysis be aware:

    Microsoft has been able to differentiate Azure in a couple of critical approaches, such as the enterprise being both commercial enterprise friendly and aggressive in layering in unique and incremental features corresponding to artificial Intelligence, Azure Stack, Azure Sphere, and a broad focal point on aspect computing and greater advanced and sophisticated workloads.

    indeed, Microsoft's means to goal industries has also been a win. peculiarly, Microsoft has won over colossal marketers that do not are looking to companion with AWS due to the fact they compete with Amazon. Microsoft also began highlighting greater client wins together with gap in addition to Fruit of the Loom.

    That take became also echoed in different places. Daniel Ives, an analyst at Wedbush, talked about AWS is still the big dog, however Microsoft has some wonderful advantages within the container -- mainly a robust firm and ground game. Ives wrote:

    while Jeff Bezos and AWS continue to certainly be an incredible drive in the rising cloud shift over the arrival years, they believe Microsoft with its military of partners and committed revenue drive have a huge window of possibility in 2019 to convert companies to the Azure/cloud platform according to their contemporary in-depth discussions with partners and purchasers.

    conveniently put, Microsoft can couple Azure with its different cloud services akin to office 365 and Dynamics 365. With Azure, Microsoft has a smartly-rounded stack, ranging from infrastructure to platform to functions to run a business.

    have to study
  • Annual income run rate: $4 billion+
  • Google Cloud Platform has been profitable larger offers, has a brand new leader with Oracle veteran Thomas Kurian and is seen as a high-quality counterweight to AWS and Microsoft Azure. despite the fact, Google is never divulging annual salary run expense or offering a lot assistance on its cloud financials.

    On Google's fourth quarter earnings convention name, CEO Sundar Pichai mentioned a large number of statistics points for Google Cloud Platform (GCP). besides the fact that children, analysts have been pissed off by means of the inability of revenue disclosed. To kick off 2018, Pichai observed Google's cloud income changed into $1 billion 1 / 4 evenly cut up between G Suite and GCP.

    In 2019, Pichai held returned on his run expense chatter, so it's uncertain whether GCP is gaining on AWS or Azure or simply becoming because the typical cloud pie is growing to be. especially, Pichai outlined right here:

  • The variety of Google Cloud Platform (GCP) deals price more than $1 million doubled.
  • The number of multiyear contracts doubled. "We're getting giant wins, and i seem ahead to executing here," observed Pichai.
  • G Suite has 5 million paying purchasers.
  • there's an uptick in the number of offers price more than $100 million.
  • CFO Ruth Porat referred to:

    GCP does remain probably the most fastest-transforming into companies across Alphabet. As Sundar stated, they now have doubled the number of GCP contracts more advantageous than $1 million. We're also seeing early quality uptick within the variety of offers that are stronger than $a hundred million, and in reality happy with the success and penetration there. At this aspect, now not updating extra.

    Add it up, and GCP seems to be an exceptional No. 3 to AWS and Azure, however how distant it falls in the back of those two continues to be to be considered. Wall road enterprise Jefferies is predicting that GCP will benefit share over time.



    (photograph: Jefferies)

    One movement that could increase Google's cloud salary is a circulate to boost G Suite costs for some users. G Suite, which competes without delay with Microsoft's workplace 365, is elevating its prices for the primary time. G Suite primary will carry expenses from $5 per consumer per 30 days to $6. G Suite company will go from $10 per consumer per 30 days to $12. in keeping with Google, G Suite business, which runs $25 per person a month, isn't impacted by means of the expense enhance.

    Competitively, the pricing strikes are based on workplace 365.

  • Annual profits run fee: $3.eighty five billion
  • Alibaba is the leading cloud provider in China and an choice for multi-country wide groups building infrastructure there.

    In its December quarter, Alibaba delivered cloud salary increase of 84 p.c to $962 million. The enterprise has impulsively brought consumers and is at present within the cloud buildout phase. To wit:

    Add it up, and Alibaba has a strong home-field competencies in China, but it surely also has world ambitions. Alibaba launched 678 items in the December quarter. Relationships with the likes of SAP are likely to put it on the radar for greater organizations with operations in China.

    while the big cloud providers add more to their stacks with AI as the differentiator, there is a market being carved out to manipulate dissimilar cloud suppliers. This crowd of cloud avid gamers used to center of attention on hybrid architecture to bridge records facilities with public provider providers, however now aim to be the infrastructure management plane.

    additionally: What Kubernetes really is, and the way orchestration redefines the records center

    research by Kentik highlighted how essentially the most common cloud aggregate was AWS and Azure, but there are purchasers working in Google Cloud Platform, too. in keeping with the Kentik survey, 97 percent of respondents suggested their corporations use AWS, but 35 percent additionally said they actively use Azure too. Twenty-4 percent use AWS and Google Cloud Platform together.



    (graphic: Kentik)

    additionally: What a hybrid cloud is in the 'multi-cloud period,' and why you may additionally have already got one 

  • Annualized as-a-carrier run price: $12.2 billion
  • IBM's cloud strategy and its approach to AI have plenty in normal. massive Blue's plan is to permit purchasers to manipulate dissimilar techniques, functions and suppliers and become the management console. IBM wants to be a part of your cloud environment in addition to assist you run it. In 2018, IBM launched OpenScale for AI, which is designed to manage numerous AI equipment likely supplied with the aid of the main cloud suppliers. IBM also launched multi-cloud tools. feel of IBM because the Switzerland of cloud adoption and computing features techniques.

    The flow with the aid of firms to make use of assorted public cloud providers is enjoyable and gives the reason for IBM's acquisition of red Hat for $34 billion. IBM has its own public cloud and may carry every thing from platform-as-a-carrier to analytics to Watson and even quantum computing through it, but the huge bet is that big Blue with red Hat can make it a number one cloud administration player. For its half, IBM is taking its core intellectual property -- Watson, AI administration, cloud integration -- and supplying it via distinctive clouds.

    The purple Hat acquisition is a chance the farm circulation by using IBM. It is still to be seen how the IBM and red Hat cultures come together. On the brilliant facet, the two groups have been hybrid cloud partners for years.

    must study

    indeed, IBM CFO James Kavanaugh on the business's fourth quarter income convention name reiterated the red Hat reasoning and stated big Blue is seeing more offers for IBM Cloud deepest and its approach to "hybrid open" cloud environments. Kavanaugh introduced:

    Let me pause here to remind you of the value they see from the aggregate of IBM and purple Hat, which is all about accelerating hybrid cloud adoption. The customer response to the announcement has been overwhelmingly tremendous. They have in mind the vigour of this acquisition and the aggregate of IBM and purple Hat capabilities in helping them flow past their initial cloud work to really moving their enterprise functions to the cloud. they are concerned in regards to the relaxed portability of information and workloads throughout cloud environments, about consistency in administration and security protocols across clouds and in fending off dealer lock-in. They keep in mind how the mixture of IBM and crimson Hat will assist them address these concerns.

    also: The AI, machine getting to know, and facts science conundrum: Who will control the algorithms? 

    IBM's as-a-carrier revenue run price exiting the fourth quarter changed into $12.2 billion to make it a powerful cloud company, but not akin to the likes of AWS and Azure nowadays. it's somewhat viable that the techniques of all of the big cloud providers eventually converge.

    the new hybrid and multi-cloud panorama could be some of the extra critical things to observe within the cloud wars for 2019. 

    listed here are some key avid gamers to believe:

    VMware: It is a part of the Dell technologies portfolio, and it has had average records facilities in the fold for years. The business emerged as a virtualization dealer and then adopted every little thing from containers to OpenStack to some thing else emerged. possibly, the optimal circulate for VMware become its tight partnership with AWS. This hybrid cloud partnership is a win-win for each parties and each companies have endured to build on their preliminary efforts. The partnership is so interesting that VMware is helping to carry AWS on premises. To wit:

    Of path, VMware additionally has its vRealize Suite, vCloud Air, VMware HCX, Cloud administration Platform, vSphere, and networking products.

    Dell technologies and HPE: each of these carriers have distinct items to operate facts centers and are plugging into cloud suppliers. 

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



    (picture: HPE)

    and then, there's Cisco, which by the use of acquisitions has built out a immense utility portfolio. Cisco outlined an information core any place imaginative and prescient that revolves around plugging its utility centric infrastructure (ACI) into dissimilar clouds. No be counted the way you slice the hybrid cloud online game, the conclusion state is the same: assorted suppliers and private infrastructure seamlessly linked. Cisco additionally has partnerships with Google Cloud. Kubernetes, Istio, and Apigee serve as the glue within the Cisco-Google effort.

    whereas the hybrid cloud market become largely panned as legacy carriers cooking up new the right way to promote hardware, the brand new multicloud world has extra acceptance even among the many former upstarts who wanted to show the likes of IBM, VMware, Dell, and HPE into dinosaurs.

    The SaaS market additionally highlights how carriers and their changing strategies and acquisition plans make cloud classification greater complicated. within the 2018 version of their cloud rankings, Oracle turned into lumped into the AWS, Azure, and GCP crowd mostly since it became attempting to play within the IaaS market.

    whereas CTO Larry Ellison still seems to be enthusiastic about AWS, Oracle is essentially a application- and database-as-a-service enterprise. possibly Oracle's efforts to automate the cloud and prepare dinner up subsequent-gen infrastructure pay off, but for now, the company is really about utility. Salesforce by way of the acquisition of MuleSoft has also changed its stripes somewhat and delivered an integration spin to the cloud approach (and even a little bit of normal software licensing). SAP has grown into a large cloud participant and Workday has opened its ecosystem.

    overlaying every SaaS participant is past the scope of this overview, but there are a group of providers that could be referred to as SaaS+. These cloud provider suppliers prolong into systems and all of those vendors have distinct SaaS items that can run your enterprise.

  • Annual cloud services and license guide salary run cost: $26.four billion
  • ERP and HCM annualized income: $2.6 billion
  • In Gartner's 2018 Magic Quadrant for IaaS, the research company narrowed the box to just cloud corporations. Oracle made the cut. It wouldn't be magnificent if Oracle was reclassified in 2019 out of the infrastructure race.

    Let's get real: Oracle is a SaaS company and there is no disgrace in that. definitely, Oracle is rattling respectable on the SaaS video game and has every little thing lined from small- and mid-sized organizations by way of NetSuite to colossal corporations migrating on-premise application to the cloud.

    however the real differentiation with Oracle is its database. The company has a enormous installed base, an independent database that goals to get rid of grunt work and the abilities to put its technology on greater clouds beyond its own. Oracle is pitching itself as a Cloud 2.0 player.

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

    Andy Mendelsohn, government vp of database server technologies at Oracle, mentioned it be very early in the cloud migration of databases. "in the SaaS world it be a mature market the place enterprise clients have authorized they could run HR and ERP within the cloud," he talked about. "Database within the cloud has very little adoption."

    Mendelsohn pointed out what Oracle sees greater of is valued clientele the usage of services like Cloud at client and a private cloud strategy to moving databases. Initiatives like Oracle's independent database can be more about a private cloud approach, he talked about.

    amongst smaller groups, databases are more frequent within the cloud as a result of there's much less investment vital.

    "The massive battleground will revolve around the facts. it be the core asset at each enterprise obtainable," he said.

    Cloud at customer is part of how Oracle sees its multi-cloud approach. Analysts have raised concerns that Oracle may still run its application and databases on more clouds.

    Following Oracle's 2d quarter earnings in December, Stifel analyst John DiFucci mentioned:

    whereas they continue to consider Oracle is well-located in the SaaS market, they stay more cautious round PaaS/IaaS, both in terms of good-line salary and associated cap-ex implications.

    while there is little doubt in their intellect that Oracle's put in base is extremely comfortable, they agree with that a large portion of web new database workloads are going to non-Oracle platforms (hyperscale solutions, NoSQL, open source, etc).

    We stay cautious on Oracle's IaaS efforts and assist the notion of Oracle expanding assist for different clouds.

    Mendelson observed that Oracle has worked with distinct vendor suggestions all over its heritage, so or not it's not plenty of a stretch to peer multi-cloud emerge over time.

  • Annual cloud salary run expense:$14 billion
  • earnings Cloud annual profits run rate: $4 billion
  • service Cloud annual profits run cost: $three.6 billion
  • Saleforce Platform & different annual earnings run cost: $2.8 billion
  • advertising and marketing and Commerce Cloud annual earnings run price: $2 billion
  • Salesforce began as a CRM business twenty years in the past and has elevated into every thing from integration to analytics to advertising to commerce. Woven all over the Salesforce clouds are add-ons similar to Einstein, an AI system.

    without difficulty put, Salesforce desires to be a digital transportation platform it's concentrated on fiscal 2022 purpose of income between $21 billion to $21 billion.

    Most cloud companies -- public, inner most, hybrid or in any other case -- will inform you the video game is taking pictures facts below management. Salesforce also sees the promise of being the facts platform of list.



    (photograph: Salesforce)

    Enter Salesforce's client 360. The master plan is to make use of client 360 to enable Salesforce clients to join all their information into one view. The conception is rarely precisely normal, however Salesforce's argument is that it could possibly execute more desirable and put the client at the core of the information universe.

    Add it up, and Salesforce is fitting a platform wager for its shoppers. Salesforce co-CEO Keith Block spoke of the company is touchdown extra deals value $20 million or extra and these days renewed a nine-figure win with a monetary features enterprise. Marc Benioff, co-CEO and chairman, said that Einstein AI is being added into all the company's clouds.

    ought to examine

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

    The go-to-market approach for Salesforce revolves round selling dissimilar clouds and developing trade selected functions such because the enterprise's fiscal capabilities Cloud.

    Block referred to:

    I've traveled all over the world meeting with greater than a hundred CEOs and world leaders. The dialog is consistent all over i'm going. it be about digital transformation. it's about leveraging their know-how. it's about their lifestyle, and or not it's about their values. This C-degree engagement is translating into greater strategic relationships than ever.

    For 2019, there is little on the radar -- in need of a broad financial downturn -- that would derail Salesforce's momentum. sure, Oracle and SAP continue to be fierce rivals with the latter actively pitching its next-gen CRM equipment, but Salesforce is seen as a digital transformation engine. Microsoft is a different competitor price staring at, when you consider that it also desires to present a single view of the customer. Dynamics 365 is fitting greater competitive with Salesforce. With its advertising Cloud, Salesforce competes with Adobe. As Salesforce continues to extend so will its competitive set.

    more on Salesforce:
  • Annual cloud subscriptions and support profits: €5 billion
  • Annual cloud revenue run rate: €5.64 billion
  • SAP has a sprawling cloud software enterprise that runs from ERP and HR to costs (Concur) in addition to Ariba. The company is basic enterprise application, but shoppers are migrating to the cloud. SAP's strategy rhymes with Oracle's method, however there is a key change: SAP will run on diverse clouds.

    CEO bill McDermott noted the SAP cloud partners on the company's fourth quarter earnings name. "SAP has mighty partnerships with Microsoft, Google, Amazon, Alibaba, and others to embody this value introduction possibility," he mentioned. "purchasers can run on-premise, in a non-public cloud or in the public cloud. it be their alternative."



    (photograph: SAP)

    The SAP cloud lineup contains right here:

  • SAP S/4HANA Cloud
  • SAP SuccessFactors
  • SAP Cloud Platform, statistics Hub (which might be hybrid plays)
  • SAP C/4 HANA
  • enterprise network software (Ariba, Concur, and Fieldglass)
  • in the end, SAP is a mix of historically licensed utility and cloud types. CEO invoice McDermott additionally outlined some large increase desires. For 2019, SAP is projecting cloud subscription and assist profits between €6.7 to €7.0 billion.

    Going ahead, SAP is projecting cloud subscription and guide salary of €eight.6 to €9.1 billion. by 2023, SAP wants to triple cloud subscription and support revenue from the 2018 tally.

    greater on SAP:
  • Annual cloud revenue run cost: $3 billion
  • Workday made its identify with human capital administration, expanded into financials and ERP, and is adding analytics by way of a sequence of acquisitions.

    earlier than AWS grew to become an Oracle obsession, Workday was a first-rate target of Larry Ellison's rants. those verbal barbs from Ellison grew to become a tell that Workday turned into faring smartly.

    Most of Workday's income derives from HCM, however the business is starting to promote financials along with it. In other phrases, Workday is trying to strengthen that multi-cloud playbook that Salesforce has going. That pointed out, Workday additionally has lots of runway for HCM. Workday hasl half of the Fortune 50 as purchasers and about 40 percent of the Fortune 500.

    The analytics business for Workday is being developed via acquisition. Workday obtained Adaptive Insights, a company planning participant, and should goal analytics workloads.

    whereas Workday fared neatly by itself, the business turned into gradual to increase its ecosystem and run on infrastructure from the public cloud giants. Workday has unfolded to enable valued clientele to run on AWS and that's a big movement that could pay dividends sooner or later.

    The enterprise additionally launched the Workday Cloud Platform, which allows valued clientele to write down applications interior of Workday by the use of a set of software programming interfaces. The Workday Cloud Platform, launched in 2017, makes its platform more bendy and open.

    In 2019, you can are expecting Workday to discover expansion ito more industries past schooling and government. Healthcare may well be an choice for a broader effort.

    Robynne Sisco, CFO of Workday, talked about at an investor convention in December:

    when you think about expanding when it comes to business operational systems, there is really a lot that they could do going forward. They could do retail. They may do hospitality. As of right now, we've received lots of issues we're engaged on. So we're staying the place they are. however business does develop into very vital should you focus on selling financials.

    Workday is additionally focused on greater mid-sized groups with Workday Launch, a set-price, preconfigured software package.

    The aggressive set for Workday is Oracle and SAP for HCM and Financials. additionally watch Salesforce, which is a Workday companion and competencies foe in the future. an additional wild card for Workday should be Microsoft, which is integrating LinkedIn more for HR analytics.

    extra on Workday: more on cloud administration: greater on dealer management: more on cyber web of issues: greater on cloud vs records core:

    Mendix Unveils video game-altering Native Integration with IBM's Cloud services and Watson | Real Questions and Pass4sure dumps

    BOSTON, Feb. eleven, 2019 /PRNewswire/ -- Mendix, a Siemens business and the leader in low-code for the business, today announced new and drastically improved platform enhancements for Mendix on IBM Cloud to be delivered through Erno Rorive, senior product manager at Mendix, speaking at IBM believe 2019. Mendix is IBM's simplest enterprise-grade, low-code building platform utterly optimized and cloud-natively integrated with IBM Cloud capabilities. Rorive will highlight Mendix's reengineered cloud-native architecture that now totally helps Kubernetes containerization for the IBM ecosystem. Full support for IBM's Kubernetes implementation provides Mendix low-code app builders with seamless entry to the capabilities of Watson, the area's leading issuer of AI cognitive capabilities.

    "The goal of the Mendix-IBM Alliance is to region the benefit of drag-and-drop, low-code application development into the fingers of the commercial enterprise cloud market, leverage Watson's AI capabilities for the largest number of clients, and vastly accelerate the time-to-price deployment of company innovation," says Rorive. "the integration of the Mendix platform with IBM Cloud and Watson represents a golden triangle of commercial enterprise-competent solutions to be able to energy the subsequent wave of smart applications to focus the vigour of AI on vertical trade solutions."

    Mendix's platform enhancements for the IBM Cloud infrastructure consist of:

  • Broader access to IBM Cloud capabilities. Integrating Mendix's low-code app development and deployment with Watson's out-of-the-box AI capabilities will allow business purchasers to test with AI-ready functions, together with entry to weather Channel content material, App identity, and App Launch on IBM Cloud.
  • Full aid for Kubernetes. built-in aid for Kubernetes creation-grade container orchestration is now part of Mendix's cloud-native structure. Native Kubernetes help permits streamlined management and interoperable deployment across public, deepest, and hybrid clouds. This turbocharged integration with IBM Cloud and the Mendix platform eliminates costly IT overhead with automatic healing and horizontal scaling, enabling seamless administration for migrating legacy programs or growing new, cloud-native, microservices-based mostly capabilities.
  • Single sign-on Onboarding. Reengineered platform integration creates a frictionless user adventure for all Mendix low-code functions with one-click on, out-of-the container deployment to IBM Cloud's entire catalog of third-birthday celebration vendors. This enhancement makes it possible for commercial enterprise consumers to function and computer screen mission-critical functions in a single IBM-centric dashboard, putting off the want for additional logins and passwords.
  • integrated Billing with IBM Cloud. The newly streamlined fiscal platform offers business consumers with a single invoice for any purchased IBM Cloud carrier. by way of including the Mendix platform to IBM Cloud's catalog, clients can promptly start to discover Mendix's business-in a position, low-code software building, enabling them to carry commercial benefits at pace and for the lowest viable complete can charge of possession, the usage of their IBM Cloud credits.
  • p>"The billing platform integration will motivate new clients who are seeking an effortless method to evaluate chopping-edge products," says Rorive. "It turns into a great deal greater flexible for agencies to experiment and lengthen their utility panorama with low-code construction, at a a whole lot lower funding risk than regular."

    The IBM believe 2019 conference  at San Francisco's Moscone center is the biggest annual gathering of true executives, company strategists, professional developers, and academic and enablement specialists who will share their stories, insights, and most useful practices for developing price with IBM's cloud-based ecosystem.

    Erno Rorive's presentation, "build functions 10x quicker with the IBM Cloud low-code platform by means of Mendix"takes region on Tuesday, February 12, at 1:30 p.m. at Moscone middle South as a part of IBM suppose 2019's tune on Cloud and Infrastructure: wise begins here.

    to listen to Rorive's talk, register for IBM consider 2019.

    About MendixMendix, a Siemens company and the international leader in low-code for the business, is transforming the world of legacy software and utility construction by bringing business and IT groups collectively to swiftly and collaboratively construct strong and contemporary purposes for the commercial enterprise. The Mendix software building platform at once addresses the huge worldwide application developer ability gap, and contains company and IT on the very birth and all over the complete utility constructing and deployment system. recognized as a "chief" by using properly analysts, together with Gartner and Forrester, Mendix helps purchasers digitally seriously change their companies and industries by way of building, managing, and improving apps at unprecedented speed and scale. more than 4,000 forward-considering firms use the Mendix platform to construct enterprise purposes that satisfaction shoppers and increase operational effectivity. join the Mendix community on LinkedIn and Twitter. start building apps at no cost at

    Press InquiriesKatie McGovernSenior Account manager, SHIFT (617) 779-1867

    Dan BerkowitzSenior Director, international (415) 518-7870

    View original content material to download multimedia:

    source Mendix

    Copyright (C) 2019 PR Newswire. All rights reserved

    setting up IBM Streams applications with the Python API (version 1.6) | Real Questions and Pass4sure dumps

    The IBM data Science adventure (DSX) platform now integrates Streaming Analytics services the use of edition 1.6 of the Python software API, which allows application development and monitoring absolutely in Python. The at the moment supported Python edition is Python 3.5.

    Python builders can use the streamsx kit to:

  • Create IBM Streams functions in DSX Jupyter notebooks.
  • Create apps which are run in the Streaming Analytics service.
  • access information streams from views defined in any app it truly is operating on the carrier.
  • additionally, Python builders can now display screen submitted jobs with the Python leisure API. here's above all enjoyable for developers who wish to retrieve and visualize streaming information in Jupyter notebooks, for example, for debugging or added logging.

    To improve streaming applications with Python three.5 in DSX Jupyter notebooks, that you could use the STREAMING_ANALYTICS_SERVICE context to post a Python software to the IBM Streaming Analytics service.  pattern DSX Jupyter notebooks for Python functions that system streams can be found on the neighborhood web page of DSX:

  • hello World!: Create a simple howdy World! utility to get begun and install this software to the Streaming Analytics provider.
  • Healthcare Demo: Create an software that ingests and analyzes streaming information from a feed, and then visualizes the information within the computing device. You finally submit this software to the Streaming Analytics provider.
  • Neural net Demo: Create a sample statistics set, create a mannequin for the sample records, use that mannequin in a streaming application, visualize the streaming facts, and at last submit the streaming software to the Streaming Analytics carrier.
  • instance: The Neural internet computing device

    as an instance the workflow of constructing a streaming software in DSX, they are able to walk in the course of the Neural web demo listed above. The workflow is made from three simple steps:

  • Use the Python API to compose the streaming utility.
  • publish the utility to be run in a Streaming Analytics provider.
  • Retrieve statistics back into the computer for visualization.
  • The intention of the Neural net laptop is to exhibit how an information scientist can instruct a model on a collection of data, and then instantly comprise that mannequin into a Streaming utility.

    creating a sample records set

    First, they create a sample data set evaluating the temperature of an engine to the probability that it will fail in the next hour:

    xvalues = np.linspace(20,100, one hundred)yvalues = np.array([((np.cos((x-50)/100)*100 + np.sin(x/100)*100 + np.random.normal(0, 13, 1)[0])/one hundred fifty.0 for x in xvalues])yvalues = [y - np.amin(yvalues) for y in yvalues] create_plot(xvalues, yvalues, title="Engine Temp Vs. probability of Failure", xlabel = "probability of Failure", ylabel = "Engine Temp in levels Celcius", xlim = (20,one hundred), ylim = (0,1))

    For brevity, a number of imports and performance definitions had been eliminated, youngsters the entire code is proven within the computing device itself.

    training a model

    Given the data set they created, they use the PyBrain library to educate a Feed forward Neural network (FFN) as a model to foretell failure probabilities given a temperature.

    # The neural net to be trainednet = buildNetwork(1,a hundred,a hundred,one hundred,1, bias = genuine, hiddenclass = SigmoidLayer, outclass = LinearLayer) # construct a data set of the working towards datads = SupervisedDataSet(1, 1)for x, y in zip(xvalues, yvalues):ds.addSample((x,), (y,)) # The practicing harness. Used to instruct the mannequin.trainer = BackpropTrainer(internet, ds, learningrate = 0.0001, momentum=0, verbose = False, batchlearning=False) # teach the model. for i in range(50) # reveal the model in the plot.fig, ax = create_plot(xvalues, yvalues, title="Engine Temp Vs. likelihood of Failure", xlabel = "probability of Failure", ylabel = "Engine Temp in levels Celcius", xlim = (20,100), ylim = (0,1)) ax.plot(xvalues, [net.activate([x]) for x in xvalues], linewidth = 2, color = 'blue', label = 'NN output')

    The utterly expert model, internet, is a simple Python object, which, when provided with a temperature price, produces a probability reading. Above, they can see the output of the mannequin (in blue) plotted against the information set.

    using the mannequin in a Streaming utility

    It isn’t enough to without problems have the net mannequin in the DSX computer, they may wish to ship it into construction to predict failures in actual time. To insert the mannequin into a true-time streaming utility with the streamsx.topology Python API, you have to use courses that create and manipulate streaming records.

    here two classes represent such introduction and manipulation of records, and are necessary accessories of the streaming software. The periodicSource type submits a random number between 20 and one hundred every 0.1 seconds, and is used to simulate pattern temperature readings.

    The NeuralNetModel classification easily takes a knowledge merchandise, feeds it as enter to the neural web, and returns the output onto a move.

    # The supply of their statistics. each 0.1 seconds, a host between 20-a hundred might be inserted into the stream# enter: None# OUTPUT: A float with range [20,100]class PeriodicSource(object):def __call__(self):whereas actual:time.sleep(0.1)yield random.uniform(20,one hundred) # a class which runs the neural web on data it is passed.# input: the enter to the neural web, in this case a floating factor number# OUTPUT: an array containing the output of the neural net, as neatly as the enter to the neural web.category NeuralNetModel(object):def __init__(self, net) = netdef __call__(self, num):return [num,[num])[0]] constructing the Streaming utility

    The application uses the periodicSource class to generate a circulation temperature readings, which can be then processed with the aid of an instance of the NeuralNetModel classification to create a movement of likelihood readings. considering the fact that they are interested in viewing these probability readings, they permit the circulate to be viewable with the view() formulation.

    # define operatorperiodic_src = periodicSource()nnm = NeuralNetModel(net) # construct Graphtop = topology.Topology("myTop")move = properly.source(periodic_src) # Run the temp readings through the neural web and mark the# output as viewable.view = flow.radically change(nnm).view()

    Now that they now have described the software, they submit it to be run on a Streaming Analytics service on Bluemix using a name to put up.

    vs='streaming-analytics': ['name': service_name, 'credentials': json.loads (credentials)] cfg = context.ConfigParams.VCAP_SERVICES : vs, context.ConfigParams.SERVICE_NAME : service_name job = context.publish(context.ContextTypes.STREAMING_ANALYTICS_SERVICE, right, config=cfg)

    You’ll be aware that the credentials and service_name values are used to define a cfg object used for authentication. each of these can be obtained from the Streaming Analytics carrier management page on Bluemix.

    Viewing Streaming information

    once the call to submit has completed effectively, the application is working. they can view its output in DSX using the view object that was created past.

    fig, ax = create_plot([], [], title="Engine Temp Vs. likelihood of Failure", xlabel = "chance of Failure", ylabel = "Engine Temp in degrees Celcius", xlim = (20,one hundred), ylim = (0,1)) xdata = []ydata = [] are attempting:queue = view.start_data_fetch() for line in iter(queue.get, None):xdata.append(line[0])ydata.append(glide(line[1]))ax.traces[0].set_xdata(xdata)ax.strains[0].set_ydata(ydata)fig.canvas.draw()apart from: raisefinally:view.stop_data_fetch()

    each dot in the above graph represents a are living temperature studying used to foretell probability of failure. each time a new temperature studying is shipped throughout the model, its output is mirrored within the graph.

    Closing the loop on DSX

    statistics visualization is becoming an more and more essential part of facts science. After making a model, a data scientist wants instant visible comments on its effectiveness each out and in of a construction ambiance. even if with static or precise-time records, DSX is a tool that helps builders achieve this.

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    Application Development with IBM Rational Application Developer For Web Sphere Software V6.0

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    IBM i Has Been Getting With The Program For Years | real questions and Pass4sure dumps

    February 4, 2019 Timothy Prickett Morgan

    There are many things that one could constructively criticize IBM about when it comes to the Power Systems platform running the IBM i operating system. But, in recent years at least, one of those things would not be – and could not be – that the company has not done enough to embrace the most important elements of the modern programming toolbox.

    In fact, the company has done and increasingly good job of embracing and extending the compilers, interpreters, frameworks, and models of the programming languages that have gone mainstream since Java first took the stage at the beginning of the dot-com boom in 1996 as an attempt to bring a simplified variant of C++, living in an idealized, simplified, and importantly portable hardware abstraction called a virtual machine. Since that time, Big Blue and the IBM i community have worked together, often with the community out in front with the active involvement of the IBMers in the developerWorks organization, to bring the Apache Web server and the Tomcat application server the OS/400, i5/OS and IBM i platform along with programming languages such as Perl, PHP, Python, and Node.js, and versioning tools such as Git, and other systems software that are are essential tools for modern programmers.

    The 2019 edition of the IBM i Marketplace Survey, which was released in January and which is spearheaded by Tom Huntington, executive vice president of technical solutions at HelpSystems, provided some insight into what is going on out there on the programming front. The survey was performed last October and had 700 respondents, with 57 percent coming from the United States but only 2 percent from Canada; another 19 percent came from Europe, 15 percent came from Latin America, and the remainder was split across Australia, Asia, and Africa. As they have pointed out before, this is not precisely representative of the actual IBM i installed base, which is more heavily distributed outside of the United States; but the numbers are gradually shifting in the right direction as HelpSystems translates the survey into more languages and organizations such as IT Jungle encourage readers to take the survey.

    The diversity of operating systems supported on the Power Systems platform and the ability to snap in tools created for Unix-like operating systems into the PASE AIX runtime embedded in OS/400 and its successors is a key element to the ability to get and use tools that other platforms have. (In this way, IBM preserves its own advantages such as RPG business language programming and an integrated relational database management system and grafts on the advantages of other platforms, giving it a kind of hybrid vigor.) And IBM i shops have been embracing that operating system diversity on the platform and becoming less dependent on Windows Server machines running on X86 iron elsewhere in the datacenter, as you can see from this operating system distribution from the survey:


    Only 22 percent of the companies surveyed said that they were only running the IBM i platform, and frankly, they find it hard to believe that this number is not zero percent given how pervasive Windows file and print servers are. But it is possible to go it alone with IBM i, perhaps in factory or remote retail settings, and it is possible so they will take the survey respondents at face value. What is interesting in this chart is that the share of Windows Server is falling. Back in the day, somewhere north of 95 percent of IBM midrange shops reported using Windows Server alongside their OS/400 and i5/OS machines, and this has been trending down as Linux, both on Power Systems iron inside of PowerVM logical partitions and on outboard X86 systems, is on the rise. AIX has gained some penetration at IBM i shops, too, both on distinct Power Systems machinery and on PowerVM partitions on the same machines running IBM i.

    As you might imagine, RPG remains the most popular programming language in use at IBM i shops, with over 84 percent of respondents saying they use RPG to create applications (or bought RPG applications from third party software vendors that do). The SQL database programming language ranks number two, at 72 percent, followed by the CL scripting language native to IBM at 47 percent and Java at 41 percent. Here’s the rundown of programming language adoption:

    There are a couple of interesting things going on here. First, while 68 percent of shops report using Windows Server in their IBM i shops, only 17 percent say they are using the .NET framework from Microsoft for programming, which supports Visual Basic and the Java-inspired (that’s the nice way to say that) C# languages. They would have thought that after two and a half decades, Java would have been up there with RPG and SQL as a preferred language, but that has not happened. The proportion of COBOL is about the historical trend and tends to be concentrated in the financial services and insurance industries where code was ported from mainframes so many decades ago.

    Companies were obviously allowed to put down more than one programming language as part of the survey, and if you add up all of the percentages, you get 320 percent, which implies an arithmetic mean of 3.2 languages in use per site on average across the IBM i installed base. (Well, at least this upper echelon – by which they mean the active portion, not the biggest companies or those with the largest machines – part of the IBM i base. They don’t know anything about the people who don’t take surveys and they think that the data that was gathered for the five years of the IBM i Marketplace Survey are representative of these active shops. That means those that keep their systems and operating systems relatively current and that tend to be more inclined to adopt newer technologies, ranging from storage area networks to high availability clustering to advanced programming techniques.) They are of two minds about this average. First, RPG, SQL, and CL dominate, and combined they give you an average of two languages. They think there are lots of sites that mainly use RPG and SQL, particularly those that have third party application software. It is important to realize that the survey question was not what languages were used to create your applications, but rather what languages are used for new application development. So the base could have a lot more diverse and a higher numerical distribution of compilers and interpreters than this data implies. I don’t think this is the case, but it probably averages more like five languages because whether they know it or not, there’s probably some SQL, CL, or Java running somewhere in the application stack.

    The survey asked companies about what open source technologies they have deployed in their IBM midrange shops, and believe it or not the Apache web server, which IBM first commercialized as the kernel of WebSphere back in 1998, is still on the rise and that is probably happening as fewer and fewer shops use Windows Server for application and Web serving and more shops go native. That the native Apache Web server has only 40 percent penetration tells you what those Windows Server that remain are doing. It is a mix of print, file, Web, and application serving plus a healthy dose of SQL Server for analytical database processing that companies don’t want to deploy natively on their IBM i machines. Python and Node.js are on a steady rise, and the Git versioning tool is finding its own level, too.

    What they can’t know from the first five surveys and what they would like to know in the sixth next year is what percentage of RPG is being coded in the modern free form style that is more like what Java does and what percentage is still using the older school, more tightly constrained older RPG model. My guess is that for new code, it is probably as high as half and half, and that is reflected in the fact that about have of the companies surveyed said that they had bought Rational Developer for i and were using it for at least some application coding. About a third of the companies that have RDi say they are using it for all of their application development, about a third say it is around half and half, and a third say it is less than half. Average that out and it is averaging around half of the applications at half of the companies surveyed are done using RDi, which implies free form RPG.


    The IBM i Base Did Indeed Move On Up

    The IBM i Base Is Ready To Move On Up

    Investment And Integration Indicators For IBM i

    Security Still Dominates IBM i Discussion, HelpSystems’ 2018 Survey Reveals

    The IBM i Base Not As Jumpy As It Has Been

    The Feeds And Speeds Of The IBM i Base

    IBM i Priorities For 2017: Pivot To Defense

    IBM i Trends, Concerns, And Observations

    IBM i Survey Gets Better As Numbers Grow

    Where Do Those IBM i Machines Work?

    Finding IBM i: A Game Of 40 Questions

    It Is Time To Tell Us What You Are Up To

    IBM i Marketplace Survey: The Importance Of Being Earnest

    What’s Up In The IBM i Marketplace?

    IBM i Marketplace Survey Fills In The Blanks

    IBM Buys Cloud-Based Software Testing Platform Green Hat | real questions and Pass4sure dumps

    In its first acquisition of 2012, IBM has announced the purchase of cloud-based software testing platform Green Hat. Financial terms of the deal were not disclosed.

    Founded in 1996, Green Hat allows developers to test software applications prior to delivery in the cloud. Developers can test TIBCO, webMethods, IBM WebSphere MQ, SOA, BPM, SOAP, REST and Cloud applications with the company’s platform as well as Virtualize unavailable applications and test application performance.

    Green Hat, says IBM, creates a virtual environment that simulates a wide range of IT infrastructure problems and issues, without the constraints of hardware or software services because the platform is based in the cloud. The virtual test environment can be set up in a matter of minutes versus weeks, and for a fraction of the cost for developers.

    According to IBM, software testing represents more than 50 percent of overall development costs, and testing teams often spend upwards of 30 percent of their time managing the complexity of the test environment. Green Hat will join IBM’s Rational Software business, and will help Big Blue’s enterprise clients manage software development costs, test cycle times and risk.

    Green Hat customers include British Airways, H&M, T-Mobile, JP Morgan, Goldman Sachs and Virgin Mobile.

    MyEclipse Blue + Spring = Bling IDE | real questions and Pass4sure dumps


    MyEclipse Blue + Spring = Bling IDE
  • By John K. Waters
  • 07/13/2011
  • Genuitec, creator of the MyEclipse Java EE integrated development environment (IDE), and Spring dev tools maker Skyway Software today released a new IDE aimed at IBM shops adopting Spring in their WebSphere-deployable applications.

    Dubbed MyEclipse Bling, the new IDE combines the WebSphere tooling found in the MyEclipse Blue Edition with Skyway's advanced bootstrapping and auto code generation.

    The MyEclipse Blue IDE is customized for IBM's WebSphere application server. Genuitec bills it as alternative to Big Blue's own Rational tooling. Spring is the most popular Java framework on the market with the highest adoption rate among developers, according to several industry surveys.

    A spokesperson for Genuitec told ADTmag that the development of Bling was driven "solely their IBM customers," adding, "IBM Rational just doesn't do a good job on Spring support when deployed to WebSphere, but their tools do a good job with enhancements on top of the SpringSource/VMware offerings, such as the Spring code auto generation and building apps for cloud, mobile, and desktop environments simultaneously while deploying to WebSphere."

    Genuitec's Vice President of Technology Todd Williams called the announcement "a revolutionary product launch" for his company.

    The Bling IDE integrates with WebSphere to allow developers to use Spring code generation tools to create many project types simultaneously. It's designed to allow them to scaffold and bootstrap projects for iPhone, Adobe Flex, Spring MVC, Spring Web Flow, and JSF 2.0, among others. They can even prepare projects for Google's App Engine, the company says. Bling supports Java EE 6, HTML 5, Windows and Linux, ICEFaces 2, JSF 2.0, JPA 2.0, and control of EJB and EAR deployments. It comes with Java editors, HTML editors, Inspectors, Maven, Hibernate, ALM dashboards and project team synchronization capabilities.

    Texas-based Genuitec's MyEclipse is both a Java EE IDE and a Web development tool suite for the Eclipse platform. The company promotes the tool for developers using UML, JSP, XML, Struts, JSF and EJBs. It supports Ajax, Web Services development, Java Persistence, extended database support, and application server integration, the company says. Genuitec is a founding member of the Eclipse Foundation.

    Tampa, Florida-based Skyway Software is a provider of an open-source code generation tool and scaffolding for Spring-based Web application development. The company's Skyway Builder is an Eclipse-based code generation tool for Spring apps. Skyway also provides a model-centric development and deployment environment called Visual Perspectives, which focuses on Web services and RIAs for Spring and Spring MVC.

    The two companies collaborated last year to create the MyEclipse for Spring STS Edition plug-in for the SpringSource Tool Suite (STS). When the collaboration was announced, Skyway president Sean Walsh described the two companies' technologies as particularly complementary.

    "We serve the same software developer market but offer different products that complement each other extremely well," Walsh said at the time. "Now that Skyway Builder runs seamlessly inside of MyEclipse, they have the reach to bring their powerful Spring development accelerators into the hands of millions of Java and Spring developers."

    Bling is available now via a subscription model. More information is available on the Genuitec Web site here.

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