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C2010-023 IBM Tivoli Support Provider Tools and Processes

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Test Code : C2010-023
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For IBM, Storage Is A Lighthouse For Its records-pushed, Multi-Cloud World | killexams.com Real Questions and Pass4sure dumps

IBM Storage announcement held in Rome

IBM

This blog turned into written through Steve McDowell, storage and HCI follow lead for Moor Insights & approach.

The cloud computing world is a one stuffed with surprising pivots, swift turns, and sharp boomerangs. The early hopes that cloud computing, with its desirable charge/improvement equations and ease of management, would change the enterprise statistics center were short-lived.

As firms migrated workloads to the quite a lot of cloud providers, classes have been learned, and a brand new reality set in.  Workloads require records, and statistics has gravity. It’s now not an easy be counted to stream an application to the cloud and hope that your latest storage structure offers the correct set of functions to assist it.  You need to deploy storage architectures designed to bridge on-premises infrastructure with the cloud.  Storage in a multi-cloud atmosphere is not a spot for the meek.

The complexity of mixing on-premise and cloud has come into sharp reduction over the past several months as every player within the enterprise IT value chain moves into new territory.  The be aware "cloud" itself has turn into nebulous, as public cloud providers movement infrastructure and services on-premises, natural OEMs enter the means-on-demand enterprise, and software more and more turns into the defining glue tying all of it collectively.

Google's Cloud subsequent developer conference was held this week in San Francisco, the place the enterprise announced a group of application capabilities its branded "Anthos" to manage functions and workloads across deepest facts centers and Google Cloud features.  Anthos even guarantees to aid workloads on its competitor's Amazon net services and Microsoft organisation's Azure clouds.  Anthos is, not surprisingly, according to containers and Kubernetes, with a storage story that relies on vendors efficiently helping the Container Storage Interface (CSI).

Deploying solutions such as Google’s Anthos, and even Amazon’s Outpost on-web site cloud providing, requires complex integration with a steady eye towards balancing compute and storage. These multi-cloud implementations aren't turn-key, as a substitute relying on tight coordination between partners to installation an commercial enterprise-ready solution.

whereas the cloud suppliers and server OEMs vacillate on what they each agree with is the correct balance of on-premises and cloud technologies, every maintaining excessive-margin turf in the manner, they should discuss IBM, who has emerged as an not going lighthouse for the information-pushed multi-cloud world.

IBM, when you are now not mindful, is the quantity 4 public cloud company worldwide. The enterprise would not get down within the dust and fight for each little bit of company in the identical means that Amazon and Google do. IBM instead focuses its cloud efforts the place it has always focused its company: servicing the needs of the enterprise.

by myself amongst cloud providers and storage expertise providers, IBM has in no way vacillated on its imaginative and prescient. IBM has at all times viewed multi-cloud as an clever mix of infrastructure and cloud, managed by means of a finished blend of application and features. They’ve made it handy for their consumers to deploy multi-cloud options, even if those cloud workloads are containerized or leverage extra typical virtual desktop expertise.

ultimate week in Rome, IBM’s storage crew continued its enablement of commercial enterprise IT to additional its experience into the multi-cloud world.

All about the software

The statistics-pushed multi-cloud world revolves across the software stack,  which makes the capabilities true and manageable. For IBM, that software is its Spectrum Storage suite of products.

probably the most pleasing of IBM’s storage bulletins is its enhancements to IBM Spectrum Virtualize, now offering help for Amazon AWS public cloud.  IBM Spectrum Virtualize for Public Cloud allows for for hybrid multi-cloud mobility to and from AWS and IBM clouds, with non-disruptive migration to, from, and between clouds.

IBM Spectrum Virtualize for Public Cloud is hosted on a pair of AWS EC2 compute situations, where it may well virtualize and manage EBS block storage, and picture to and from S3 storage.  The application provides statistics mobility from IBM’s Storwize family, FlashSystem 9100, SVC, and VersaStack.  It’s an throughout-the-board answer play for IBM.

during its Rome adventure, IBM also up-to-date its Spectrum Scale facts-management tool.  Spectrum Scale has expanded efficiency for SMB and NFS, while additionally aiding new degrees of scalability and resiliency.

one of the crucial more interesting bulletins from IBM is new utility aid for blockchain technology within IBM storage solutions.  As blockchain evolves into a vital skill for managing chains of trust, i will be able to see many purposes leveraging technology in a multi-cloud world. i am anxious to look this evolve and take note how enterprises leverage the ability.

one of the vital niceties of IBM's storage choices is the blueprints that IBM provides to aid enterprise IT and IBM's partners instantly set up options with self assurance. IBM Spectrum Virtualize for Public Cloud extends the library of blueprints, with new offerings defining workload mobility with VMware's NSX, company continuity, and cyber-resiliency with "air-gapped" snapshots.

NVMe everywhere

application is the significant fearful device of the multi-cloud infrastructure, but that utility can only ever be as in a position as the hardware resources its tasked to control.  efficiency in the storage world is defined by using the capabilities provided through the mix of flash memory and the NVMe interconnect. IBM changed into a really early adopter of NVMe-primarily based flash storage, deploying its custom FlashCore modules to convey very excessive-throughput, low-latency, options into its performance product.

The component about multi-cloud is that it doesn’t all the time require the maximum-performing arrays. Deploying multi-cloud solutions requires the performance required by way of a given workload, with satisfactory scalability to live on future evolutions of that workload. To that end, IBM introduced enhancements to its Storwize V5000 household, bringing enhanced capabilities to the lessen-conclusion of its storage offerings, and supplying conclusion-to-end NVMe to its V5100 series.

the new IBM Storwize V5100F and v5100 carry NVMe to a prior to now unimaginable cost-factor. The arrays convey well-nigh 2.5x greater efficiency than the previous V5030F, offerings 9x greater cache than old iterations, are has support for server-type memory. The densities are equally compelling, with the arrays in a position to deliver as much as 2PB of flash in only 2U.  That capability can scale-as much as 23PB, and scale-out to 32PB with 2-way clustering enabled.  The IBM Storwize V5100F redefines how you'll want to feel about cost-effective performance and density.

IBM has also updated its Storwize 5100, bringing new levels of scalability and density to the lower-cost range of its choices.  The up-to-date IBM Storwize V5010E double the IOPS of its predecessor while scaling to 12PB.  The up to date IBM Storwize V5030E additionally offers a nice bump, offering 20% greater max IOPs, with scalability of up to 32PB.

IBM additionally offered updates to its FlashSystem A9000/A9000R to supply more suitable assist for multi-tenant environments.  The updated FlashSystem now allows sharing of physical storage supplies among numerous digital networks, while also helping VLAN tagging on its iSCSI ports. These facets should still lead to more advantageous protection and an overall reduction of fees in multi-tenant environments. These are critical enhancements for MSPs and others who share resources between disparate person groups.

Tying collectively all of IBM’s storage portfolio is its wealthy suite of Spectrum Storage utility, designed to combine IBM storage infrastructure with the multi-cloud world.  The combination of IBM Spectrum Storage utility and the updated arrays offers you an end-to-conclusion solution able for containerized, AI-driven, workloads.  at the same time, this set of updates supply IBM some of the broadest ranges of NVMe-enabled flash storage in the trade.

Concluding options

as the average server OEMs and the general public cloud suppliers hone in on a group of architectures for the information-driven multi-cloud world, it has develop into obvious that the solution was appropriate in front of us the entire time.

IBM has blended cloud and infrastructure from the very early days of its cloud offerings. The company provides essentially the most cohesive set of services and options that scale on-premise and cloud hosted workloads.

IBM's storage crew, in selected, has been aggressive in driving this imaginative and prescient.  Its line of storage arrays are one of the crucial most aggressive in the trade, but in case you couple these arrays with the vigour of the IBM Spectrum Storage utility suite, it becomes unbeatable.  IBM stands basically by myself in offering a comprehensive latitude of storage options that span records middle hardware, deepest cloud, and public cloud.  it's recent embracing of Amazon AWS, and different public cloud opponents is a powerful circulation that merits IBM's enterprise client base.  option is always decent.


IBM facets toward managing multicloud universe | killexams.com Real Questions and Pass4sure dumps

How collaboration apps foster digital transformation

PhoneFactor Launches phone-based Authentication for IBM Tivoli entry supervisor | killexams.com Real Questions and Pass4sure dumps

PhoneFactor Launches cellphone-based Authentication for IBM Tivoli entry manager

source: PhoneFactor

PhoneFactor

July 07, 2010 09:00 ET

IBM Certifies PhoneFactor solution as "competent for IBM Tivoli"

OVERLAND PARK, KS--(Marketwire - July 7, 2010) -  PhoneFactor, Inc., a number one provider of multi-factor authentication capabilities, today announced that it has introduced help for IBM Tivoli access manager to its suite of authentication options and might now seamlessly enable mobile-primarily based two-aspect authentication to secure Tivoli person sign-ons. The PhoneFactor answer has been certified as "able for IBM Tivoli" and is immediately accessible.

IBM Tivoli access manager gives a web single signal-on (SSO) answer for executing safety policies for net and software components. PhoneFactor provides an additional layer of security by using confirming Tivoli signal-ons with an automatic cellphone name or textual content message. The consumer conveniently solutions the name or replies to the text message to authenticate. Tivoli entry supervisor with PhoneFactor integration provides both step-up authentication and multi-aspect authentication capabilities for controlling access to supplies. 

"Tivoli entry supervisor is an impressive platform for managing consumer entry across distinct net portals and functions," said Steve Dispensa, Chief expertise Officer of PhoneFactor. "Securing this entry with two-ingredient authentication is vital, especially in industries that require a regulatory-compliant environment, and PhoneFactor makes that less complicated than ever for IT departments and end clients."

by leveraging a device every person already has -- a phone -- PhoneFactor allows for quick deployment of cost-efficient two-aspect authentication for Tivoli access supervisor. There aren't any security tokens or other gadgets to provision and no application or certificates for conclusion users to install. businesses without problems download and installation PhoneFactor and configure it for Tivoli access supervisor. PhoneFactor integrates with Tivoli's directory equipment in addition to ad and LDAP servers to streamline person management. effortless, automated self-provider alternate options are available throughout the mobilephone and net.

About PhoneFactor

PhoneFactor (www.phonefactor.com) is a leading provider of multi-ingredient authentication services. The company's award-successful platform makes use of any cellphone as a 2d variety of authentication. PhoneFactor's out-of-band structure and real-time fraud alerts supply robust safety for business and consumer purposes. it's handy and most economical to installation and set up. PhoneFactor changed into recently named to the financial institution expertise information FutureNow record of the correct 10 know-how innovators securing the banking industry these days and a finalist in 2010 SC journal Reader believe Awards.

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IBM Tivoli Support Provider Tools and Processes

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For IBM, Storage Is A Lighthouse For Its Data-Driven, Multi-Cloud World | killexams.com real questions and Pass4sure dumps

IBM Storage announcement held in Rome

IBM

This blog was written by Steve McDowell, storage and HCI practice lead for Moor Insights & Strategy.

The cloud computing world is a one filled with sudden pivots, swift turns, and sharp boomerangs. The early hopes that cloud computing, with its attractive cost/benefit equations and ease of management, would replace the enterprise data center were short-lived.

As enterprises migrated workloads to the various cloud providers, lessons were learned, and a new reality set in.  Workloads require data, and data has gravity. It’s not a simple matter to move an application to the cloud and hope that your existing storage architecture provides the right set of services to support it.  You have to deploy storage architectures designed to bridge on-premises infrastructure with the cloud.  Storage in a multi-cloud environment is not a place for the meek.

The complexity of blending on-premise and cloud has come into sharp relief over the past several months as every player in the enterprise IT value chain moves into new territory.  The word "cloud" itself has become nebulous, as public cloud providers move infrastructure and services on-premises, traditional OEMs enter the capacity-on-demand business, and software increasingly becomes the defining glue tying it all together.

Google's Cloud Next developer conference was held this week in San Francisco, where the company announced a set of software capabilities its branded "Anthos" to manage applications and workloads across private data centers and Google Cloud services.  Anthos even promises to support workloads on its competitor's Amazon Web Services and Microsoft Corporation's Azure clouds.  Anthos is, not surprisingly, based on containers and Kubernetes, with a storage story that relies on vendors efficiently supporting the Container Storage Interface (CSI).

Deploying solutions such as Google’s Anthos, or even Amazon’s Outpost on-site cloud offering, requires complex integration with a steady eye towards balancing compute and storage. These multi-cloud implementations are not turn-key, instead relying on tight coordination between partners to deploy an enterprise-ready solution.

While the cloud providers and server OEMs vacillate on what they each believe is the right balance of on-premises and cloud technologies, each protecting high-margin turf in the process, they should talk about IBM, who has emerged as an unlikely lighthouse for the data-driven multi-cloud world.

IBM, if you're not aware, is the number four public cloud provider worldwide. The company doesn't get down in the dirt and fight for every bit of business in the same way that Amazon and Google do. IBM instead focuses its cloud efforts where it has always focused its business: servicing the needs of the enterprise.

Alone among cloud providers and storage technology vendors, IBM has never vacillated on its vision. IBM has always viewed multi-cloud as an intelligent blend of infrastructure and cloud, managed by a comprehensive blend of software and services. They’ve made it easy for their customers to deploy multi-cloud solutions, whether those cloud workloads are containerized or leverage more traditional virtual machine technology.

Last week in Rome, IBM’s storage team continued its enablement of enterprise IT to further its journey into the multi-cloud world.

All about the software

The data-driven multi-cloud world revolves around the software stack,  which makes the capabilities real and manageable. For IBM, that software is its Spectrum Storage suite of products.

The most eye-catching of IBM’s storage announcements is its enhancements to IBM Spectrum Virtualize, now offering support for Amazon AWS public cloud.  IBM Spectrum Virtualize for Public Cloud allows for hybrid multi-cloud mobility to and from AWS and IBM clouds, with non-disruptive migration to, from, and between clouds.

IBM Spectrum Virtualize for Public Cloud is hosted on a pair of AWS EC2 compute instances, where it can virtualize and manage EBS block storage, and snapshot to and from S3 storage.  The software provides data mobility from IBM’s Storwize family, FlashSystem 9100, SVC, and VersaStack.  It’s an across-the-board solution play for IBM.

During its Rome event, IBM also updated its Spectrum Scale data-management tool.  Spectrum Scale has increased performance for SMB and NFS, while also supporting new levels of scalability and resiliency.

One of the more intriguing announcements from IBM is new software support for blockchain technology within IBM storage solutions.  As blockchain evolves into a critical capability for managing chains of trust, I can see many applications leveraging technology in a multi-cloud world. I'm anxious to see this evolve and understand how enterprises leverage the capability.

One of the niceties of IBM's storage offerings is the blueprints that IBM provides to help enterprise IT and IBM's partners quickly deploy solutions with confidence. IBM Spectrum Virtualize for Public Cloud extends the library of blueprints, with new offerings defining workload mobility with VMware's NSX, business continuity, and cyber-resiliency with "air-gapped" snapshots.

NVMe Everywhere

Software is the central nervous system of the multi-cloud infrastructure, but that software can only ever be as capable as the hardware resources its tasked to manage.  Performance in the storage world is defined by the capabilities offered by the blend of flash memory and the NVMe interconnect. IBM was a very early adopter of NVMe-based flash storage, deploying its custom FlashCore modules to deliver very high-throughput, low-latency, solutions into its performance product.

The thing about multi-cloud is that it doesn’t always require the highest-performing arrays. Deploying multi-cloud solutions requires the performance required by a given workload, with enough scalability to survive future evolutions of that workload. To that end, IBM announced upgrades to its Storwize V5000 family, bringing enhanced capabilities to the lower-end of its storage offerings, and delivering end-to-end NVMe to its V5100 series.

The new IBM Storwize V5100F and v5100 bring NVMe to a previously unattainable price-point. The arrays deliver nearly 2.5x more performance than the previous V5030F, offerings 9x more cache than previous iterations, are has support for server-class memory. The densities are equally compelling, with the arrays able to deliver up to 2PB of flash in only 2U.  That capacity can scale-up to 23PB, and scale-out to 32PB with 2-way clustering enabled.  The IBM Storwize V5100F redefines how you should think about affordable performance and density.

IBM has also updated its Storwize 5100, bringing new levels of scalability and density to the lower-cost range of its offerings.  The updated IBM Storwize V5010E double the IOPS of its predecessor while scaling to 12PB.  The updated IBM Storwize V5030E also offers a nice bump, delivering 20% better max IOPs, with scalability of up to 32PB.

IBM also provided updates to its FlashSystem A9000/A9000R to provide better support for multi-tenant environments.  The updated FlashSystem now allows sharing of physical storage resources among multiple virtual networks, while also supporting VLAN tagging on its iSCSI ports. These features should lead to better security and an overall reduction of costs in multi-tenant environments. These are critical enhancements for MSPs and others who share resources between disparate user groups.

Tying together all of IBM’s storage portfolio is its rich suite of Spectrum Storage software, designed to integrate IBM storage infrastructure with the multi-cloud world.  The combination of IBM Spectrum Storage software and the updated arrays gives you an end-to-end solution ready for containerized, AI-driven, workloads.  At the same time, this set of updates give IBM one of the broadest ranges of NVMe-enabled flash storage in the industry.

Concluding thoughts

As the traditional server OEMs and the public cloud providers hone in on a set of architectures for the data-driven multi-cloud world, it has become apparent that the solution was right in front of us the entire time.

IBM has blended cloud and infrastructure from the very early days of its cloud offerings. The company delivers the most cohesive set of services and solutions that scale on-premise and cloud hosted workloads.

IBM's storage team, in particular, has been aggressive in driving this vision.  Its line of storage arrays are some of the most competitive in the industry, but when you couple those arrays with the power of the IBM Spectrum Storage software suite, it becomes unbeatable.  IBM stands nearly alone in offering a comprehensive range of storage solutions that span data center hardware, private cloud, and public cloud.  It's recent embracing of Amazon AWS, and other public cloud competitors is a strong move that benefits IBM's enterprise customer base.  Choice is always good.


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Is there a single-source provider for data management? Not yet | killexams.com real questions and Pass4sure dumps

Architects can, and do, choose a primary cloud service provider and/or Hadoop system to house their data. Moving, transforming, cataloging, and governing data is a different story, so architects come to me after throwing up their arms searching for solutions to tame the information fabric, thinking they must be missing something: "Isn't there a single platform?" they ask.

Sadly, no. There are only best-of-breed tools or data management platforms in transition.

There's history behind this. Data management middleware companies tend to be relatively small. Information management vendors such as IBM, Oracle, and SAP pick off smaller data management vendors and add their offerings as solutions to their overall platform portfolio to sell as enablers of their big data and cloud systems. Small vendors don't have the funds to preemptively build capabilities as markets shift toward new architectures like big data and cloud. Big vendors solve the 80% rule of firms running their businesses on traditional reliable technology. Thus, data management and governance have lagged behind the big data and cloud trends. Ultimately, both vendors have had a wait-and-see strategy, building capabilities and rearchitecting solutions only when customers began to show higher levels of interest (it's in the RFI/RFP).

Our Forrester Wave evaluations document this story. As Forrester saw that 50% of companies were building Hadoop data lakes in 2011 and analytics/BI was moving to the cloud shortly after, data management vendors in their Waves were only just starting to figure out how to work in these environments and run natively in 2015. Even today, many of these vendors still offer one on-premises tool and another cloud tool. Newer ones may only run in the cloud.

Venture capitalists and private equity firms jumped in to fund big data startups early. But few startups emerged when there was already a whole marketplace of open source tools for ingestion, pipelines, security, and metadata. Where was the money in that? Thus, the market shifted to the sexier value proposition of machine learning, and investor money followed. Why care about data when you can have insights?

Well, enterprises care about the data. They always did and always do. It is the biggest area of technical and talent debt in an organization. The failure of big data lakes and stalls in scaled-out system areas such as IoT and AI all stem from lagging data foundations. It's a cart-before-the-horse scenario.

"Great!" you say. "Nice history lesson. So what do we do?"

Recognize new tools for what they are. Ignore the platform and solution labels applied to product names and offers. What is available is loosely consolidated functionality for specific data use cases. Potential for complete solutions is there in commercial products. User interfaces and experiences are better than open source. More communication and collaboration functionality exists. Vendors know that regulatory compliance and security support are table stakes for any enterprise. And if there aren't connectors for the leading cloud and Hadoop platforms, or leading BI and business applications, that's a deal breaker. The baseline strategy for acquiring these tools comes down to knowing your user and their processes, the openness of the metadata repositories, and subscription models. Ultimately, you need to solve for today and give yourself room for growth (check out what my colleague Noel Yuhanna just published on future-proofing). You'll refactor your platform sooner rather than later.

Now, here's what you need to know for the primary data management tools:

  • Metadata management. You will need two or three data catalogs: one for physical and logical metadata management that data engineers need to build and manage systems; one for data stewards to manage logical metadata, semantics, and data policies; and possibly a third data catalog that supports search and consumption capabilities for BI analysts and data scientists to use data if the data governance catalog for data stewards doesn't do the job. Yes, Collibra, EDQ, and Informatica are common bedfellows. Alation with Navigator or Atlas in the Hadoop ecosystem are not unusual for data lakes, either.
  • Master data management. There's usually the traditional relational-based MDM tool running to support complex mappings of data between systems. It lives at the core of the databases and integration. Then you find graph-based MDM to handle complex views for customers and products sitting closer to the BI and business application systems when logical models need more preparation and conversion to semantic or business models. Then there's the DIY MDM living inside data virtualization and Kafka that informs the data model and mapping for BI views, microservices, and ESBs.
  • Data integration. This is where the fun begins as ETL, data virtualization, a data bus, streaming, replication, ingestion tools, and data preparation all live independently or in an integrated pipeline. Workload patterns define which data integration tools are used and where in the data flow or the ecosystem (cloud/on-premises) they are needed. Your data architecture takes on reference patterns aligned to transactions, business processes, automation, analytics, and analytics (OLAP) and operational (OLTP) workloads. Your reference architecture is designed first for data flows, not data sources as traditionally done.
  • Data profiling and lineage. Standalone or embedded — take your pick. But the key is that if the profiling and lineage analysis is embedded, chances are it's oriented toward the foundational solution. Repositories profile for metadata and data source capture. Data governance tools profile for logical and business metadata and source lineage. Data catalogs profile for physical and logical metadata, data relationships, and source lineage. Some might profile data flow metadata. Standalone tools tend to focus on metadata, model, lineage, and data flow analysis for root-cause analysis. Be mindful of who will use the tool, what they need to know, and that profiling and lineage analysis is mandatory for all data responsibilities to understand the data.
  • For more from Forrester on emerging technologies, click here.    

    By Michele Goetz, Principal Analyst

    This post originally appeared here.



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