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000-939 exam Dumps Source : IBM Tivoli Change and Configuration Management Database V7.1.1
Test Code : 000-939
Test name : IBM Tivoli Change and Configuration Management Database V7.1.1
Vendor name : IBM
: 138 real Questions
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IBM IBM Tivoli Change and
The bulletins IBM made at terminal week's reckon 2019 conference around Watson AI features are well timed to meet evolving cloud computing calls for.
IBM pointed out that through their Watson anywhere initiative they're making Watson AI functions purchasable across AWS, Azure and GCP, moreover their own IBM Cloud choices.
For instances the space organizations may besides wish to boost and/or sprint AI-primarily based applications in private clouds or their personal information centers, the company is licensing Watson to exist able to sprint locally.
Ever since the upward thrust to prominence of cloud computing, we've got seen corporations grapple with the way to optimal feel about and leverage this current skill of computing. Some organizations, especially internet-concentrated ones, dove in head first and now hold their whole being contingent on services enjoy Amazon's AWS (Amazon internet features) (NASDAQ:AMZN), Microsoft's Azure (NASDAQ:MSFT), and Google's Cloud Platform (GCP) (NASDAQ:GOOG) (NASDAQ:GOOGL). for many tolerable agencies, youngsters, the process of poignant toward the cloud hasn't been almost as clear, nor as handy. on account of significant investments of their own actual records centers, heaps of legacy applications, and many other custom-made software investments that weren't in the mount designed with the cloud in intellect, the transition to cloud computing has been a whole lot slower.
one of the most stumbling blocks in poignant to the cloud for these ordinary vendors is that the shift has frequently required a monolithic exchange to an entirely new, distinctive classification of computing. of course, it is not convenient to do, especially if the alternative you're relocating to is seen as a novel alternative, with few options. In certain, as a result of AWS changed into so preponderant within the early days of cloud computing, many organizations hold been afraid of getting locked into this current environment.
As option cloud computing choices from Microsoft, Google, IBM (NYSE:IBM), Oracle (NYSE:ORCL), SAP (NYSE:SAP) and others started to kick in, although, agencies everything started to scrutinize that numerous doable alternatives hold been attainable. What's been occurring within the cloud computing world over the terminal 12-18 months is greater than simply a simple extend in aggressive alternatives. or not it's a significant growth in considering a way to strategy computing in the cloud. With multi-cloud, for instance, agencies are now embracing, in preference to rejecting, the concept of getting different types of workloads hosted by several companies.
In a means, we're seeing cloud computing evolve in the same course to typical computing trends, however at a a lot quicker pace. The introductory AWS choices, as an example, weren't that conceptually several from mainframe-based mostly efforts, concentrated round a platform controlled by means of a unique supplier. The combination of latest choices from different companies in addition to several types of supported workloads could exist viewed as a speculative akin to extra heterogenous computing fashions. The stream to containers and microservices throughout dissimilar cloud computing suppliers in many ways mirrors the client-server evolution stage of computing. finally, the coincident structure of "serverless" models for cloud computing can exist regarded roughly analogous to the advancements in area computing.
in this context, announcements that IBM made finally week's reckon 2019 conference around their Watson AI services are well timed to fill evolving cloud computing calls for. in particular, the company referred to that via their Watson any space initiative they had been going to exist making Watson AI capabilities available across AWS, Azure, and GCP, in addition to their own IBM Cloud offerings. moreover, for situations where organizations might besides are looking to boost and-or sprint AI-primarily based functions in private clouds or their personal facts centers, the company is licensing Watson to exist capable of sprint locally.
building on the company's Cloud private for statistics as a groundwork platform, IBM is offering a muster of Watson APIs or direct access to the Watson lieutenant across everything of the in the past outlined cloud systems, in addition to techniques running crimson Hat OpenShift or Open Stack across lots of different environments.
This gives corporations the flexibleness they are actually anticipating to entry these features across a scope of cloud computing offerings. in fact, corporations can gain the AI computing elements they need, even with the classification of cloud computing efforts they've chosen to make. whether it's including cognitive features capabilities to an current legacy utility that is been lifted and shifted to the cloud, or architecting a completely current microservices-based service leveraging cloud-native platforms and protocols, the scope of flexibility being provided to companies looking to circulation greater of their efforts to the cloud are turning out to exist dramatically.
providers who are looking to address these wants will must undertake this greater supple classification of considering and adjust or enhance capabilities that fit no longer best the verisimilitude of the multi-cloud world, but the latitude of decisions that these current alternatives are starting to allow. The implications of multi-cloud are enormously better, although, than simply having a muster of carriers or selecting to host inevitable workloads with one dealer and other workloads with an additional. Multi-cloud is in fact enabling businesses to believe about cloud computing in a extra flexible, approachable method. or not it's exactly the sort of construction the industry needs to bewitch cloud computing into the mainstream.
Disclaimer: one of the crucial creator's consumers are companies within the tech business.
IBM analysis has an extended background of inventing the longer term, so the massive tech enterprise’s researchers bewitch their predictions severely. these days they're revealing their annual “5 in 5” predictions, which aspect 5 improvements if you want to trade their lives within the subsequent five years.
IBM will talk concerning the predictions at its feel 2019 event in San Francisco on Wednesday from 10 a.m. to eleven a.m. Pacific time.
Spurring the exigency for innovation is demand positioned with the aid of the Earth’s increasing population. Arvind Krishna, senior vice chairman of IBM Cloud and Cognitive application, spoke of in a blog submit that the area’s inhabitants will quickly cross 8 billion for the primary time.
“Our advanced food chain — already stressed by climate exchange and a finite water deliver — will most efficacious exist proven additional,” he wrote. “to meet the calls for of this crowded future, they can want current applied sciences and devices, scientific breakthroughs, and fully current techniques of brooding about food defense and safety.”
IBM researchers worldwide are already working to augment meals give with a view to meet this problem. Efforts comprise assisting farmers maximize crop yields and establishing ways to curb the epidemic of consume that destroys 45 percent of their meals deliver. they are besides working to create a safety internet to trap pathogens and contaminants before they compose people sick. and that they’re inventing methods to uphold plastic out of landfills and oceans.
without further ado, listed below are the predictions, by and great in Krishna’s phrases:
Farming’s digital doubles will assist feed a growing population the disburse of fewer elements
Above: Farming’s digital doubles will assist feed a growing to exist population the usage of fewer components.
graphic credit score: IBM
How enact you provide a farmer who has certainly not set foot in a pecuniary institution entry to credit? through digitizing and taking pictures everything elements of agriculture, from the exceptional of the soil to the competencies of the tractor driver to the expense of a melon offered at the market. It’s referred to as a Digital Twin, and in the subsequent 5 years, the disburse of AI, they can disburse this statistics to accurately forecast crop yields, which in gyrate will provide banks and economic institutions the statistics points they deserve to provide credit to uphold farmers expand — probably money does grow on timber after all.
Blockchain will reduce back food waste
Above: Blockchain can maintain meals from going dangerous.
image credit: IBM
within 5 years, we’ll eliminate many of the costly unknowns in the meals provide chain. From farmers to grocery suppliers, each and every participant in the provide chain will know exactly how a worthy deal to plant, order, and ship. meals loss will minimize enormously, and the bear that leads to patrons’ carts may exist more energizing — when blockchain expertise, IoT instruments, and AI algorithms exist a fraction of forces. [Blockchain is a decentralized ledger that is secure and transparent, and it can exist used to label products from harvest to consumption.]
Mapping the microbiome will protect us from contaminated micro organism
Above: way of life club: Mapping the microbiome will give protection to us from unhealthy micro organism
picture credit: IBM
inside 5 years, food protection inspectors world wide will gain a current superpower: the talent to compose disburse of hundreds of thousands of microbes to offer protection to what they devour. These microbes — some suit for human consumption, others now not — are regularly delivered into meals at farms, factories, and grocery outlets. thanks to a brand current approach that allows us to research their genetic make-up cost-with no trouble, microbes will disclose us a whole lot about the security of what they consume.
AI sensors will keep foodborne pathogens at home
Above: IBM is the disburse of AI sensors to map ailments.
photograph credit score: IBM
within 5 years, the area’s farmers, food processors, and grocers — together with its billions of home cooks — should exist capable of realize unhealthy contaminants comfortably of their meals. everything they’ll want is a cell or a countertop with AI sensors. IBM researchers are developing potent, moveable AI sensors that can realize foodborne pathogens any space and in every unique space they may flip up. These cellular micro organism sensors may dramatically raise the velocity of a pathogen verify from days to seconds, permitting people up and down the food chain to keep the being of detrimental E. Coli or Salmonella earlier than it turns into a virus.
VolCat will alternate plastics recycling
In five years, IBM said the disposal of trash and the introduction of current plastics can exist completely changed. every thing from milk cartons to cookie containers to grocery baggage and cheese cloths may exist recyclable, and polyester manufacturing groups may exist in a position to bewitch up reject and gyrate it into something valuable. This transition can exist powered by innovations enjoy VolCat, a catalytic chemical routine that can flip PET, a type of plastic commonly used in food packaging and polyester garb, into a renewable resource.
The affordable and sustainable innovation is in a position to respiration current lifestyles into historic plastic. currently, more than 272 million metric a whole lot plastic are produced each and every 12 months everything over the world, with one-quarter of that made from PET. VolCat aims to compose disburse of a precise combination of chemical substances, warmth, and favor to reduce this quantity of plastic, and sooner or later the volume of waste, produced. This could fully seriously change the manner they discard and manufacture plastic within the next 5 years.
For the checklist, listed below are five IBM predictions from 2013 that may soundless hold already reach proper via now. I’ll proceed away the results that you should judge.
The classroom will exist taught you.
buying local will beat online.
medical doctors will disburse your DNA to uphold you well.
A digital guardian will protect you on-line.
The city will abet you are animate in it.
In 2013, IBM had a wakeup name.
It misplaced a vital cloud deal at the CIA to AWS. IBM protested the shrink exposing previously personal details. In a lofty profile determination, arbitrator Thomas Wheeler dominated against IBM despite the patent higher fee bid submitted via AWS. The final analysis is AWS’ cloud offering became viewed as superior to IBM’s.
under twenty-4 months into her tenure as IBM’s CEO, Ginni Rometty understood the vital. IBM had to compose a circulation to gain into the common public cloud online game or it might exist omitted within the cold, an dreadful lot enjoy HP, Cisco, EMC, VMware, and different gigantic tech establishments at the time. IBM paid $2B to purchase Softlayer and has on account that converted the platform right into a attainable offering from which it intends to re-write the cloud narrative.
here’s a paraphrase of the premise assign forth by IBM’s Chairman and CEO at this week’s IBM believe conference in San Francisco:
Chapter probably the most cloud represented about 20% of the workload possibility. It changed into generally about relocating a lot of current and consumer-facing purposes to the cloud. Chapter two is concerning the challenging stuff. It’s about scaling AI and developing hybrid clouds. It’s about bringing the cloud operating mannequin to everything those mission-essential apps and enabling shoppers to control statistics, workloads, and apps and flux them between several clouds. here is one thousand billion dollar probability and IBM intends to exist #1.
IBM isn't on my own in its aspiration. gigantic groups enjoy Cisco, VMware, and even HPE hold partially an identical aspirations. As does ServiceNow and a bunch of smaller expert companies. and naturally, the common public cloud giants including AWS and Microsoft hold their personal concepts about Chapter 2 of the cloud period.
To declare a management space in Chapter 2, IBM is spending $34B to purchase purple Hat. here is a massive flux on the chess board and underscores that the IBM Cloud and a decade of trying to commercialize Watson aren’t enough to win the day. partially it sees open supply, Kubernetes, containers, microservices, and developers as a lynchpin to success within the next chapter of the cloud.
a short evaluation of Chapter One
There’s an dreadful lot debate about who first created the term cloud computing. There’s microscopic doubt however that Jeff Barr’s weblog submit in the summer of 2006, proverb AWS’ Elastic Compute Cloud, ushered within the modern epoch of cloud - so-called Chapter 1. In his submit, Barr wrote:
With Amazon EC2, you don’t should acquire hardware in further of your needs. in its place, you with ease gyrate up the dial, spawning more digital CPUs, as your processing wants develop.
His fact underscored the most fundamental cost proposition of cloud - pay for less than what you disburse model. This, of course, became the primary of a lot of innovations and services - everything obtainable with the swipe of a credit card, to exist dialed up on demand. Startups flocked and tapped world-category records core functions up to now simplest attainable to giant groups.
The economic downturn of 2007-2009 led CFOs to mandate a shift from Capex to Opex and when the economic system turned up, businesses realized that their cloud journey enabled a Good deal more desirable agility. Shadow IT-powered the subsequent facet of growth and as “cloud creep” permeated the market - IT hopped on board and hasn’t looked returned.
principally, Microsoft transformed itself to the cloud the usage of the formula of: 1) An open supply mind-set - alignment and aid (open compute, linux on .internet, and so on.); 2) Cloudify everything issues Microsoft and making Azure, not windows, the core of its universe; and 3) bundling office 365 to reveal salary from no longer handiest IaaS but SaaS.
Joined through Google, which used its preponderant world search infrastructure to stake its declare within the cloud, the massive three lead the way for a brand current pecuniary model based on scale, innovation and automation, applying application economics to the thought of infrastructure deployment and management features (See Figures 1 & 2 beneath).
commercial enterprise IT Economics 1990-2010SiliconAngle.com
enterprise IT Economics 2010-2030SiliconAngle.com
Key features in the Charts:
traditionally, the marginal can saturate of application techniques zero while features hold negative economies of scale;
With cloud - infrastructure services tune more intently to application economics - enabling huge scale (and profitability) for these with extent (i.e. AWS, Microsoft, and Google);
traditional infrastructure businesses fight to dangle on to legacy assign in bases;
Cloud agencies with a SaaS portfolio (Oracle, IBM, Microsoft) hold “up-the-stack” value advantages they can disburse as a bulwark against the commoditization of their companies.
IBM’s possibilities for Chapter 2 management signify on facts
earlier than diving into the crimson Hat piece of the puzzle, they must constituent returned to statistics. In their view, IBM is working carefully with valued clientele to build a digital commerce material where statistics continues to exist the underpinning of its approach to pressure a brand current epoch of analytics based on AI. IBM sees data as a simple ingredient in bringing contextual relevance to commerce purposes. What we’re seeing is on account of IBM’s worthy capabilities commerce and abysmal trade talents it’s earned the right to aid shoppers build digital networks and radically change enterprise fashions. IBM’s huge purchasers are becoming this. They’re no longer trying to IBM to easily convey features or cozy their infrastructure or promote them SaaS - quite they’re attempting to find IBM to assist them seriously change and carry current company models. We’re seeing this in healthcare, fiscal services, agriculture, power, insurance and basically everything industries through which IBM has a presence globally.
IBM’s possibility as they contemplate it is to uphold organizations exist cognizant the way to compose funds using facts. not necessarily with the aid of without detain selling their information however figuring out how to monetize facts. What they contemplate IBM doing is taking what has been largely piecemeal, information-oriented AI tasks and growing what Rometty calls “outside / In” - i.e. client event oriented functions and “inside / Out” - i.e. workflow and current the way to work applications - each which contribute to bottom line outcomes. more importantly, IBM desires to assist the client absolutely seriously change their company operations.
to accomplish this, IBM is offering a enterprise platform - fueled by statistics, and a computer intelligence platform - i.e. tooling and capabilities to extract value from facts and operationalize AI.
Enter purple Hat
IBM didn’t unencumber any current details about crimson Hat at think, most likely because of regulatory concerns. but with red Hat, IBM can enable a current breed of utility developers - for groups - using cloud-native tooling. facts is the key ingredient to emerging company applications and with purple Hat in its portfolio, IBM can “cloudify” and “records-fy” businesses and position itself as up to date and significant. extra importantly, it could dramatically scale purple Hat’s commerce globally.
red Hat for IBM emerges as a car for producing derivative leverage out of IBM ecosystem application and commerce competencies. With RHEL, OpenShift and eight million red Hat builders, IBM can assist its shoppers modernize their application portfolios and transform company operations...creating a brand current breed of digital commerce builders.
believe statements made by way of Ginni Rometty and Jim Whitehurst right through their mini roadshow after asserting the purple Hat acquisition. Ginni stored proverb “this isn’t a backend loaded deal.” What did she imply? In their view, she changed into essentially explaining the company case for IBM paying a 60%+ top class over crimson Hat’s stock rate ahead of the deal being introduced. in particular, IBM has a worthy assign in groundwork of functions consumers (a $20+B captive probability in their estimate) at which it could possibly constituent purple Hat PaaS tooling to modernize software portfolios and build the long sprint digital commerce platform for/with shoppers.
So out of the chute, IBM can automatically inaugurate scaling crimson Hat’s enterprise, marrying abysmal industry talents, the sprawling IBM SaaS portfolio, the IBM Cloud (the space relevant), AI infused in everything places and pink Hat PaaS to connect customer statistics, workloads, and applications to any cloud or on-prem setting up.
longer term, IBM can, together with its consumers, utterly adopt coincident application structure practices to codify its abysmal commerce information and construct out transformative commerce and AI structures to uphold incumbent groups compete within the digital period.
The competitive panorama
if you don’t personal a public cloud, you proceed difficult after multi-cloud. To wit: VMware exited public cloud after years of making an attempt to commercialize VCloud Air. It eventually settled on a deal with AWS and sold off its public cloud. VMware is Dell’s ace in the gap for multi-cloud. Cisco lately introduced its multi-cloud approach at Cisco live Barcelona which comes on the vicissitude from a stalwart position in networking. As networks flatten - Cisco will besides exist the glue between clouds with software management and orchestration framework for networked records-- not a foul approach. HP tried and failed within the public cloud online game and HPE is trying to exist a company of multi-cloud features but is basically counting on packaging its hardware, services and a few minimal software content.
of those avid gamers, most efficacious Cisco has any meaningful presence with builders. IBM with crimson Hat gets entry to eight million devs.
As such, IBM has a better position than these avid gamers-- albeit more complex. It owns a public cloud presence and while no longer basically as gigantic as AWS in IaaS, IBM has a worthy SaaS portfolio. enjoy Oracle, it doesn’t should compete for commodity commerce against AWS, quite it will probably sell cost “up the stack” using SaaS as a excessive-cost play. As smartly, it’s AI runs on the cloud and it simply introduced at suppose that it’s opening up Watson to sprint on any on-prem, public or hybrid cloud (a long overdue circulate in their opinion). in the past, in case you desired Watson you might only gain it on IBM’s cloud.
Microsoft obviously will hold its mumble in Chapter 2 of the cloud. With its acquisition of GitHub and massive software property, combined with a number one cloud at scale, Microsoft holds a lot of cards. it is investing in AI and has a stalwart information perspective.
Google Cloud is resetting with current management and is taking fraction in the long video game. It clearly has AI chops and a powerful facts angle.
Then there’s AWS. Amazon’s announcement of Outposts shows that it will possibly and should evolve and change its spots. nowadays, AWS makes a stalwart case for a unique versus a multi-cloud strategy - arguing that diverse clouds are much less comfy, more advanced and more expensive. whereas credible in its place, the verisimilitude is multi-cloud is enjoy multi-seller. There’s not a procurement czar inside of each company to exist able to ordain a unique cloud. As such if AWS sees an chance to control varied clouds it's going to enter the space in their view.
the brand current “innovation cocktail” combines statistics + AI + Cloud. a yardstick facts mannequin brings a competitive talents in the digital world. computer intelligence (AI) applied to facts drives insights and cloud permits scale and attracts innovation via ecosystems. IBM is combining these three aspects to compete in the subsequent chapter of expertise commerce growth.
IBM, enjoy Microsoft, is cloudifying its offerings to aid its customers’ digital transformations. via bringing the cloud to its products, structure statistics networks with shoppers, applying AI in every unique space and leveraging crimson Hat, it will probably catalyze a brand current class of enterprise builders and proceed challenging after the multi-cloud chance that exists.
We accept as Good with, besides the fact that children, that the multi-cloud world should exist messy. today, multi-cloud is as a whole lot a multi- (cloud) dealer prevalence versus a deliberate approach. in spite of this, consumers will continue to opt for horses for courses - import the right cloud for the redress workload - and for you to inevitably result in distinctive clouds and alternatives for simplified management, protection, governance, and records leverage.
nowadays, about half of IBM’s profits comes from so-known as Strategic Imperatives. That piece should develop faster than the other half declines. furthermore, about sixty p.c of IBM’s earnings comes from consulting and skilled functions. The decent news there is it offers IBM abysmal visibility and relationships into nearly everything global industries. The downside is that enterprise doesn’t scale as well. As such IBM’s most efficient power is its most beneficial problem. The unique probability facing IBM is to codify that abysmal industry talents in utility, the usage of statistics as the key ingredient for brand current enterprise applications built on cloud-native PaaS tooling - and scaling to the cloud, any cloud.
it truly is a differentiable fable and one that protects IBM from getting Amazon’d while at the same time enabling the company to power margin advancements over time. IBM’s Rometty has spent the closing 5-6 years preparing the commerce for this next chapter.
Now massive Blue should reveal that Elephants can dance, dash and sprint marathons.
comply with everything the IBM suppose 2019 reside video coverage here: https://www.thecube.net/ibmthink2019
ship us feedback on Twitter @furrier @dvellante
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IBM Tivoli Change and Configuration Management Database V7.1.1
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IBM updates Tivoli CMDBIBM today unveiled a change management database (CMDB) suite for Tivoli. The software is designed to automate processes across software, hardware, storage and network environments that span separate departments within a company.
The current software will exist available on June 30 and includes:
IBM Tivoli Change and Configuration Management Database -- Serves as the platform that automatically discovers and federates IT information across the data center, including details about servers, storage devices, networks, middleware, applications and data, and helps the IT staff understand the relationships and dependencies among these various components.
IBM Tivoli Availability Process Manager-- Helps IT pros understand how outages and performance issues will repercussion the business. It identifies failing components and launches diagnostic tools.
IBM Tivoli Release Process Manager-- Automates the deployment of software releases, updates and patches.
IBM Tivoli Storage Process Manager -- Discovers configuration items in the storage environment in relation to the rest of the IT infrastructure and works with existing Tivoli storage products.
IBM said the current suite is built on service-oriented architecture and can exist customized to a particular industry, such as healthcare or retail. A capacity planning module will succeed in the second half of 2006.
BMC Software Inc., Fujitsu Ltd., Hewlett-Packard Co. and IBM recently announced plans to create a current interoperability specification designed to enable customers to federate and access CMDB information from multivendor data centers. The companies procedure to submit a draft specification to an industry standards organization later this year.
Platespin launches server consolidation planning toolToronto-based PlateSpin today announced the common availability of a server consolidation planning tool. The software, called the Consolidation Planning Module for PlateSpin PowerRecon, is designed to determine the optimal fit between application workloads and server resources.
The utensil takes hardware, software and performance information and recommends an optimal allocation of servers to the most preempt virtual hosts, such as VMware ESX Server, VMware Server or Microsoft Virtual Server. It uses CPU, disk, network, reminiscence and time to determine the proper distribution of servers to a set of virtual hosts.
The Consolidation Planning Module is available for purchase immediately. Existing customers with maintenance agreements can download the update at any time. Customers who buy PowerRecon before the intermission of June 30 will receive this current module for free.
CA rolls out current mainframe database managementCA Inc. this week rolled out a two current releases of its Unicenter Database Management software, DB2 UDB for z/OS and IMS for z/OS databases.
CA's current Unicenter Database Management r11.5 for DB2 UDB for z/OS is designed to optimize database performance, administration, and backup and recovery. CA said the enhancements comprise extended uphold for DB2 UDB for z/OS v8, as well as a number of usability improvements, such as:
Greater flexibility in naming of indexes and objects with improved long name support
Accelerated problem identification with enhanced data sharing and displays, such as aggregate or individual data even views
Enhanced database availability during maintenance tasks with uphold for online schema evolution
Improved problem analysis and regulatory compliance with extended kick uphold and log tracking to identify and assess changes
Accelerated copying, reorganization and recovery tasks with uphold for current partitioning schemes.
CA says it has besides streamlined deployment and usability of its Unicenter Database Management r11.5 for IMS, giving database administrators current capabilities to:
Ensure access to related IMS databases with faster prefix resolution
Create quick-witted backup and recovery strategies for IMS
Reorganize indexes for high-availability great databases and full-function IMS databases for improved performance
Exploit hardware for greater availability during backup processing
Accomplish IMS online reorganizations with minimal to no repercussion on running batch message processing.
CA's Unicenter Database Management r11.5 for IMS for z/OS is available immediately. Unicenter Database Management r11.5 for DB2 for z/OS v8 is scheduled to ship later this quarter. Earlier this month, CA announced its end to deliver "day one" uphold for DB2 v9 for z/OS when that product becomes generally available.
IBM acquires RemboIBM has agreed to buy Rembo Technology, a Swiss software company that assists companies in upgrading operating systems on great server clusters.
The acquisition is expected to exist completed by the intermission of June. pecuniary details were not disclosed.
IBM says the Rembo products will compose it easier on a data headquarters manager. Rather than sending out employees to every workstation at every office, an IT administrator can install operating systems from a centralized location. Some of Rembo's 800-plus customers comprise the city of Munich and the University of Wisconsin.
"Rembo software makes installing an operating system across thousands of physical and virtual computers speedy and efficient," said Al Zollar, common manager, IBM Tivoli software, in a statement. "With Rembo software, organizations can bring down the cost of managing and securing software across open, diverse environments, which is a key capitalize of IT service management."
Dig Deeper on IBM system z and mainframe systems
IBM Acquires Yet Another commerce Intelligence ISV
Unicorn’s technology will abet beef up the SOA and MDM capabilities of worthy Blue’s WebSphere and Rational product families.
By Stephen Swoyer
One of IBM Corp.’s most prominent data integration product brands—Omnivore (an enterprise search-oriented flavor of its WebSphere Information Integrator franchise)—also doubles as an apt description of its acquisition practices.
Big Blue terminal week devoured soundless another tasty vendor, in this case Unicorn Solutions, Inc., a provider of metadata modeling and management tools. Representatives mumble IBM plans to incorporate Unicorn’s technology into future releases of its WebSphere middleware and Rational app dev products to abet beef up the SOA and MDM capabilities of both families.
Unicorn’s technology will besides find its way into worthy Blue’s WebSphere Metadata Server offering, a long-awaited “Rosetta Stone” for IBM’s information management portfolio, which includes a complexion of homegrown technologies and acquired technology assets, such as the products (DataStage, QualityStage, and other offerings) worthy Blue inherited from the former Ascential Software Corp.
IBM says Unicorn is its 18th integration- or process-oriented application acquisition since 2001. James Kobielus, a principal analyst for data management with consultancy Current Analysis, says acquisition rapacity about sums up IBM’s current dilemma, in which it has been gradual to deliver an assimilated version of the Ascential technologies it acquired more than a year ago. (http://www.esj.com/business_intelligence/article.aspx?EditorialsID=7785)
Big Blue has productized the former Ascential technologies as WebSphere-branded offerings, to exist sure, but its Project Serrano-Hawk (a combination of then-percolating next-gen deliverables in both the IBM and Ascential R&D pipelines, respectively) platform release—which will create a current hybrid release called WebSphere Information Server (basically Serrano and Hawk, dressed up with SOA-ready underpinnings)—is soundless missing in action.
“IBM needs to provide more specifics on its roadmap for releasing versions of WII [WebSphere Information Integrator] products that incorporate Unicorn metadata technology. IBM should besides status how it plans to position or market the Unicorn-enabled WII products vis-à-vis those of its partners that incorporate metadata management functionality,” Kobielus comments. “Furthermore, it needs to clarify the role of metadata management in its SOA run-time governance environment, in which the lynchpin is IBM Tivoli Change and Configuration Management Database.”Big Blue’s Unicorn acquisition besides raises questions about IBM’s metadata management strategy. When IBM staged its first-ever Information Live! (in conjunction with the Ascential World user confab), it promised to deliver both the first current WebSphere-branded release of DataStage and its still-gestating IBM Metadata Management Server by sometime this spring. Information Live and the WebSphere Metadata Management Server offering, in particular, were positioned as a coming-out party for (or validation of) worthy Blue’s master data management (MDM) ambitions. At the time, IBM officials maintained that worthy Blue already had everything of the pieces of a complete information management, or MDM, solution.
“We attend to exist more conservative about what they advertise than some of their competitors. Really, today is the first time they announced what everything of these strategic acquisitions hold been about,” said Dan Druker, director of master data management with IBM, at the time. “MDM—you can reach at it in a lot of different ways. There are everything kinds of different entry points into MDM, but they wanted to exist very conservative about not tipping their hand too much, because we’ve spent a great amount of money on this strategy.”
Apparently, worthy Blue didn’t disburse enough. But perhaps that’s not quite a honest assessment.
In the past, IBM hasn’t been afraid to tow the trigger on technology acquisitions that chiefly abet to enhance its capabilities in arcane areas (such as its acquisition of the former Venetica for unstructured content management, as well as Aptrix or even Green Pasture Software). (http://esj.com/enterprise/article.aspx?EditorialsID=1101)
The Unicorn acquisition seems to exist another case in point.
“IBM’s latest acquisition sends a signal to competitors that metadata management is central to the vendor’s MDM, SOA and compliance strategies,” Kobielus concludes. “Competitors must revisit their own metadata management roadmaps and status how they procedure to match IBM’s ambitious plans vis-à-vis Unicorn technology. Enterprise IT groups should revisit their commitment to MDM vendors, factoring those vendors’ metadata management roadmaps into an assessment of each provider’s direction.”
Stephen Swoyer is a Nashville, TN-based freelance journalist who writes about technology.
November 16, 2005 07:00 ET
Software Helps Protect Companies From "Domino Effect" of IT Problems
ARMONK, NY -- (MARKET WIRE) -- November 16, 2005 -- IBM today announced it has acquired Collation, a privately held company based in Redwood City, Calif. pecuniary details were not disclosed.
Collation software automatically captures information about IT resources, such as servers, applications and databases, and displays it on a minute map. This enables IT staffs to better understand the repercussion of changes to an IT environment -- such as how a security patch can trigger a "domino effect" of unexpected problems that can bring down an online business. It besides helps shrink the time it takes to learn and redress a problem.
"Without a solid understanding of how different pieces of the IT puzzle fit together, a unique change can gradual down or halt an entire system," said Al Zollar, common manager, IBM Tivoli Software. "Collation software allows companies to visualize different change scenarios so they can dissect the implications before problems occur."
In today's world of tangled software applications, understanding the relationship between technology and the commerce it supports can greatly ameliorate the efficiency and effectiveness of IT operations. Collation software helps IT professionals manage the availability of their systems when making changes, which can ensure that applications remain up-and-running around the clock. IT professionals can besides contemplate how technology supports commerce processes, such as order entry, supply chain and enterprise resource management.
Using IBM Tivoli systems management software, customers can bewitch the information captured by Collation software and model what will occur when a change is made. They can besides test the environment for unauthorized changes and share a common view of how different pieces of an infrastructure work together to deliver IT services. This helps companies better manage their software deployments, making them more responsive to current commerce requirements by shortening the time it takes to release current applications or update existing ones.
The acquisition of Collation strengthens IBM's IT service management software portfolio and expands its capabilities for automating and simplifying the way companies manage their infrastructures. With IT service management, companies can manipulate IT processes the same way they manage commerce processes, which helps ameliorate efficiency, effectiveness, and agility. Collation technology will become fraction of the IBM Tivoli Change and Configuration Management Database, a service management platform that provides a unique view across multiple sources of IT information.
Collation products will exist available direct from IBM, through IBM Global Services, and through IBM commerce Partners.
IBM is the world's largest information technology company, with 80 years of leadership in helping businesses innovate. Drawing on resources from across IBM and key commerce Partners, IBM offers a wide scope of services, solutions and technologies that enable customers, great and small, to bewitch complete advantage of the current era of e-business. For more information about IBM, visit www.ibm.com.
IBM and Tivoli are trademarks of International commerce Machines Corporation in the United States, other countries, or both. Other company, product or service names may exist trademarks or service marks of others.