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Vendor Name : IBM
Exam Code : 000-578
Exam Name : Fundamentals of Applying Tivoli Service Availability and Performance Management Solutions V3
Questions and Answers : 120 Q & A
Updated On : January 18, 2019
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000-578 exam Dumps Source : Fundamentals of Applying Tivoli Service Availability and Performance Management Solutions V3

Test Code : 000-578
Test Name : Fundamentals of Applying Tivoli Service Availability and Performance Management Solutions V3
Vendor Name : IBM
Q&A : 120 Real Questions

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IBM begun purchasing red Hat twenty years in the past | killexams.com Real Questions and Pass4sure dumps

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information that IBM is purchasing red Hat is, of route, a big moment for the realm of free utility. it's extra proof, as if any had been obligatory, that open source has won, and that even the mighty large Blue ought to make its obeisance. Admittedly, the company is not somewhat the behemoth it become back within the 20th century, when "no person ever obtained fired for buying IBM". nonetheless it continues to be a benchmark for serious, mainstream—and yes, a little bit boring—computing. Its acquisition of crimson Hat for the not inconsiderable sum of $34 billion, hence, proves that selling free stuff is now considered as a completely regular company mannequin, acknowledged by means of even the most conservative organisations.

Many interesting analyses have been and should be written about why IBM bought pink Hat, and what it potential for open supply, pink Hat, Ubuntu, cloud computing, IBM, Microsoft and Amazon, amongst different issues. however one point of the deal americans may have neglected is that in a vital feel, IBM truly begun buying purple Hat 20 years in the past. in any case, $34 billion acquisitions don't spring fully shaped out of nowhere. attaining the element where IBM's administration agreed it become the appropriate component to do required a experience. And, it became a particularly drawn-out and intricate adventure, given IBM's beginning point not just because the embodiment of typical proprietary computing, but its very inventor.

Even the longest experience begins with a single step, and for IBM, it become taken on June 22, 1998. On that day, IBM introduced it will ship the Apache internet server with the IBM WebSphere software Server, a key component of its WebSphere product family. in addition, in an unprecedented movement for the enterprise, it could present "industrial, enterprise-degree guide" for that free utility.

When i was writing my publication rebellion Code: interior Linux and the open source revolution in 2000, I had the first rate fortune to interview the important thing IBM employees who made that take place. The routine of two years before still have been fresh of their minds, and that they explained to me why they determined to push IBM towards the bold method of adopting free utility, which ultimately resulted in the enterprise purchasing pink Hat twenty years later.

a type of americans turned into James Barry, who became introduced in to analyze IBM's lineup in the net server sector. He discovered a large number there; IBM had around 50 products at the time. throughout his contrast of IBM's method, he realized the relevant nature of the net server to all of the different items. at that time, IBM's providing was internet Connection Server, later re-branded to Domino Go. The issue turned into that IBM's net server held just 0.2% of the market; 90% of internet servers got here from Netscape (the primary cyber web business, most advantageous general for its browser), Microsoft and Apache. Negligible market share intended it changed into intricate and costly to locate personnel who had been educated to use IBM's answer. That, in its turn, supposed it became difficult to sell IBM's WebSphere product line.

Barry, for this reason, realized that IBM crucial to undertake one of the crucial mainstream internet servers. IBM pointed out purchasing Netscape. Had that happened, the heritage of open source would were very distinctive. As part of IBM, Netscape probably will not have released its browser code because the free utility that grew to be Mozilla. No Mozilla would have supposed no Firefox, with the entire knock-on results that suggests. but for a variety of reasons, the thought of purchasing Netscape didn't figure out. considering Microsoft changed into too costly to acquire, that left only 1 chance: Apache.

For Barry, coming to that realization turned into handy. The difficult half was convincing the rest of IBM that it become the appropriate issue to do. He tried twice, unsuccessfully, to get his inspiration adopted. Barry succeeded on the third event, in part because he teamed up with someone else at IBM who had independently come to the conclusion that Apache turned into the manner ahead for the business.

Shan Yen-Ping turned into working on IBM's e-enterprise strategy in 1998 and, like Barry, realized that the web server changed into key in this area. Ditching IBM's own software in want of open source become prone to be a stressful experience for the enterprise's engineers, who had invested so tons in their personal code. Shan's idea to request his senior developers to research Apache in element proved key to successful their guide. Shan says that after they all started to dig deep into the code, they were shocked through the magnificence of the structure. As engineers, they needed to admit that the open-supply venture became producing high-quality software. To cement that view, Shan requested Brian Behlendof, one of the vital creators and leaders of the Apache challenge, to are available and speak with IBM's desirable net server architects. They too have been impressed through him and his team's work. With the great of Apache dependent, it was less demanding to win over IBM's builders for the move.

shortly after the announcement that IBM would be adopting Apache as its web server, the enterprise took an extra small however key step toward embracing open supply extra broadly. It concerned the Jikes Java compiler that had been written by using two of IBM's researchers: Philippe Charles and Dave Shields. After a binary version of the application for GNU/Linux was launched in July 1998, Shields started receiving requests for the supply code. For IBM to deliver access to the underlying code changed into unheard of, however Shields mentioned he would are trying to steer his bosses that it will be a great circulation for the enterprise.

A Jikes user recommended he should talk to Brian Behlendorf, who put him involved with James Barry. IBM's contemporary adoption of Apache lead the way for shelter's personal efforts to liberate the enterprise's code as open supply. Shields wrote his suggestion in August 1998, and it become accepted in September. the hardest part became no longer convincing administration, but drawing up an open-source license. Shields noted this concerned "analysis attorneys, the attorneys on the utility division who dealt with Java, the trademark attorneys, patents attorneys, contract attorneys". everybody worried was conscious that they had been writing IBM's first open-source license, so getting it appropriate was vital. definitely, the usual Jikes license of December 1998 become later generalized into the IBM Public License in June 1990. It was a key second, since it made releasing greater IBM code as open supply much less complicated, smoothing the manner for the business's continuing march into the world of free software.

Barry described IBM as being like "a large elephant: very, very tricky to movement an inch, but when you point the elephant towards the appropriate direction and get it relocating, it be also very problematic to cease it." The last nudge that set IBM relocating inexorably toward the embody of open source came about on January, 10, 2000, when the company announced that it could make all of its server systems "Linux-pleasant", together with the S/390 mainframe, the AS/four hundred minicomputer and the RS/6000 pc. IBM become aiding GNU/Linux across its entire hardware latitude—a enormous vote of self assurance in freely available software written with the aid of a allotted group of coders.

the person who turned into appointed on the time as what amounted to a Linux Tsar for the business, Irving Wladawsky-Berger, talked about that there have been three leading strands to that historic resolution. One became readily that GNU/Linux became a platform with a big market share in the UNIX sector. an extra changed into the early use of GNU/Linux by means of the supercomputing group—whatever thing that at last resulted in each one of the most world's correct 500 supercomputers operating some variety of Linux these days.

The third strand of considering inside IBM is in all probability the most interesting. Wladawsky-Berger brought up how the rise of TCP/IP as the de facto standard for networking had made interconnection effortless, and powered the upward push of the web and its excellent enlargement. americans within IBM realized that GNU/Linux may do the same for application building. As he instructed me again in 2000:

The entire thought setting apart utility building from the underlying deployment platform has been a Holy Grail of the industry since it would the entire surprising unshackle the application builders from caring about all that plumbing. I suppose with Linux we have the superior opportunity to do that. The incontrovertible fact that it be now not owned by using anybody company, and that or not it's open supply, is an immense part of what permits us to do that. If the answer had been, well, IBM has invented a brand new operating device, let's get everybody on this planet to undertake it, which you could think about how far that might go with our opponents.

far from inventing a "new operating device", with its purchase of red Hat, IBM has now completely embraced the only 1 matters to any extent further—GNU/Linux. In doing so, it confirms Wladawsky-Berger's prescient evaluation and completes that captivating experience the enterprise began all those years in the past.


IBM’s challenge Debater AI helps humans procedure advanced arguments | killexams.com Real Questions and Pass4sure dumps

IBM is launching a new device these days as a way to let determination makers talk through advanced selections with an AI system referred to as assignment Debater. The platform is designed to help people practice their reasoning, strengthen smartly-informed arguments, and reach legitimate conclusions.

IBM analysis has been engaged on the AI at the back of mission Debater for seven years and expects the know-how can be used to power applications across lots of use situations. If the identify sounds established, that’s since the press bought a look at the know-how lower back in June, however for the primary time it is now open to public use in the kind of an experimental crowdsourced debating software called task Debater — Speech by Crowd.

Speech by way of Crowd collects text arguments from a wide audience and makes use of the challenge Debater AI to analyze the validity and strength of those arguments, prepare key aspects, and edit collectively a concise, persuasive argument of its own.

Speech via Crowd “should be the first time we check [Project Debater] with the general public,” Aya Soffer, vp of AI know-how at IBM analysis, advised VentureBeat. “With that noted, we envision the expertise as an AI provider in the IBM Cloud. … We have an interest in speakme with clients about their use cases, which we could potentially discover collectively extra.”

IBM says assignment Debater has so far drawn activity from academia, “in particular folks that have debate golf equipment,” and from political consultants attracted to using Debater to test-run coverage ideas.

The challenge, which is led by Noam Slonim and Ranit Aharonov out of IBM research Haifa, may have applications across a few fields, together with company, training, legislation, and govt, in keeping with Soffer. An example of business use can be to let all employees submit professionals and cons on a subject the business is taking into consideration over and have undertaking Debater carry a concise view of the important thing arguments on either side. Soffer provided a further illustration: “in govt, the mayor of a metropolis may use Speech by Crowd to take the pulse of his/her neighborhood about a new tax on soda. residents may weigh in with their opinions, assisting the reputable to make a decision.”

Above: Dr. Noam Slonim and Ranit Aharonov, IBM analysis – Haifa

The team at the back of the know-how expects it could assist eliminate bias in decision-making, in addition to improving computer-human communique. They don’t predict it to work completely right out of the gate, notwithstanding: “until we open task Debater – Speech by Crowd up to loads, we received’t comprehend precisely how it will function. You may see some error or apparently random comments in the closing speeches. [The Speech by Crowd experimental app is] all part of the method to be trained and advance challenge Debater, and AI in ordinary,” Aharonov and Slonim wrote in a weblog submit announcing the mission’s public debut.

An previous examine of undertaking Debater fared reasonably well. In June, it went up against 2016 Israeli countrywide debate champion Noa Ovadia in front of a small crowd and won in an viewers poll.

IBM might be demoing project Debater — Speech via Crowd this week at the customer Electronics exhibit in Las Vegas. The technology will even be on reveal right through a livestreamed experience at think 2019 in San Francisco, the place it'll go up against a world champion debater.


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000-578 exam Dumps Source : Fundamentals of Applying Tivoli Service Availability and Performance Management Solutions V3

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Test Name : Fundamentals of Applying Tivoli Service Availability and Performance Management Solutions V3
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Fundamentals of Applying Tivoli Service Availability and Performance Management Solutions V3

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Database 2018 Surprises and 2019 Predictions | killexams.com real questions and Pass4sure dumps

Given the speed with which technology changes, we thought it would be interesting to ask IT executives to share their thoughts on the biggest surprises in 2018 and their predictions for 2019. Here's what they told us about databases:

2018 Surprises

Harry Sverdlove, CTO & Founder, and Sean Lutner, Infrastructure Architect, Edgewise Networks

Databases contain organizations’ most sensitive data, but companies are still leaving their databases exposed. Given the number and frequency of data breaches, it’s surprising that companies continue to assume their systems are secure and don’t bother with encryption or other data-centric security.

Philip Rathle, VP of Products, Neo4j

MongoDB and Elastic hitting $4B in market cap in the public markets and Snowflake hitting roughly that same valuation in the private markets. This strongly validates the need for specialized databases that take on discrete valuable parts of the data problem: an excellent indicator that we are going to be seeing successful, large companies built around this premise.

Stan Geiger, Director of Product Management, IDERA

Microsoft fully embraced big data clusters by incorporating SPARK and the Hadoop Distributed File System to solve the need for large storage clusters. Microsoft also extended Windows 10 to run a Linux subsystem as they continued to support more and more Linux platform functionality. In addition, the big players like Oracle and SQL Server enhanced their autonomous database offerings as cloud adoption continues to ramp up. And perhaps most exciting, the innovation found in NoSQL databases is becoming increasingly absorbed into mainstream relational databases making them more relevant again.

Brajesh Goyal, Vice President, Engineering, Cavirin Systems

The exponential growth of cloud databases. Cost and inertia were major drivers – why break something that is working. Organizations must be more confident and secure with their existing cloud-delivered services.

2019 Predictions

Harry Sverdlove, CTO & Founder, and Sean Lutner, Infrastructure Architect, Edgewise Networks

Big data is dead. Data is a business driver and so companies amass as much as they can, putting it in as many systems as they can. Despite new regulations (like GDPR and the CA Consumer Privacy Act), companies won’t take an overwhelmingly different approach to securing their databases in 2019.

Venkat Rajaji, VP of Product Management, Quest Software

Given recent shifts in how applications are deployed and integrated across the organization, the lines of business will find themselves increasingly empowered to make significant decisions around IT spend and how IT is architected to support specific business needs. I predict the lines of business will either choose SaaS-based IT Stacks, or they will develop their own solutions through shadow IT such as Citizen Data Scientists. This empowerment will enable LOB decision makers to explore their imaginations, consider creative alternatives, and find new ways to drive greater business value. At the same time, this will represent a fundamental shift in the role IT plays within the organization. A few factors driving this prediction include the universal adoption of SaaS and cloud-based applications that can integrate with on-premises databases, decreasing barriers to new task-specific ISVs which can directly impact LOB productivity by addressing specific pain points, and the rise of DevOps.

Philip Rathle, VP of Products, Neo4j

Some people will start to realize that big RAM-- which in recent years has grown cheaper and bigger faster than the data it's called to process-- can offer significantly better TCO and real-time performance for certain kinds of complex data problems than the commodity scale-out model that's become popular in recent years.

Ben Slater, CPO, Instaclustr

Because Kubernetes and Apache Cassandra are both incredibly popular technologies, developers are increasingly looking to use these solutions in tandem - a trend that will rise in 2019. The tricky part has been that while Cassandra databases on Kubernetes are relatively simple to start with, custom scripts (or the use of a specially-designed operator) is required to overcome limitations in Kubernetes’ understanding of the database. Expect Database-as-a-Service (DBaaS) providers to put their expertise toward making it demonstrably easier for developers to unlock the full advantages of Kubernetes’ container orchestration and popular high-availability, high-scalability databases like Cassandra.

Jason Lewis, Lead Developer, Vertical Motion

2018 showed a significant shift in the database market as NoSQL databases such as MongoDB became the new darling of the development world. 2019 will show a stabilization of the market as the shine comes off the new kids on the block and developers once again focus on the best tool for the job.

Kunal Agarwal, CEO, Unravel Data

There will be a growing interest in using persistent and serverless query environments rather than transient environments. As a result, newer SQL engines like Amazon Athena, Google BigQuery, Cloudera Impala, and Apache Presto will continue to see rising adoption. Despite popular myths, these newer SQL engines show they can offer the same reliability, scalability, and performance of transient execution environments.

Madhukar Kumar, Vice President of Technical and Product Marketing, Redis Labs

In 2019, companies will increasingly rely on high-performing in-memory multi-model databases that can support all data types and use cases, especially as adoption of microservices increases. Taking a microservices approach can offer a slew of benefits, but only if companies leverage appropriate databases so storing, managing and sharing data across services is near zero latency.

Stan Geiger, Director of Product Management, IDERA 

The role of the database administrator is changing. As autonomous databases, AI/machine learning and data analytics become more prevalent, DBAs will need to educate themselves on these technologies to remain relevant. Spending on analytics tools and personnel will grow at a greater rate as the adoption of big data in organizations continues. In addition, AI and the explosion of data in multiple database platforms will require increased investment in data governance within the enterprise. We will also continue to see adoption of cloud-based NoSQL, graph and analytics database platforms to support the increased adoption of AI tools and machine learning by organizations.

Brajesh Goyal, Vice President, Engineering, Cavirin Systems

Cloud databases (SQL, IDS) will experience massive growth, both database vendors and those offered by the cloud providers.

Rick Spencer, V.P. of Engineering, Bitnami

Influx will become the dominant time series database used for both service metrics and IoT, especially in AWS.

Monte Zweben, CEO, Splice Machine

Oracle’s defections to scale-out SQL will reach the point where the company includes a risk factor in their quarterly disclosures. Additionally, we will see massive growth on cloud-based SQL data platforms.

Claire Giordano, V.P., Citus Data

A change in databases might make an appearance in the new year, making the lives of DevOps engineers easier. Thanks to the creation of auto-recommendation and auto-tuning features, perhaps powered by machine learning systems, these automated tuning features will remove the challenges of capacity planning and performance optimization that plague DevOps engineers today.

Rob Strechay, S.V.P., Product, Zerto 

The big challenge for backup vendors is how to minimize the impact frequent backups can have on production. To solve this, the absolute fundamentals of backup are going to have to change. Organizations want real convergence of solutions with fast recovery and more granularity without the negative impact on compute or network bandwidth. In 2019, whether businesses want to roll back seven seconds, or seven days, their backup system should let them do this quickly and easily — minimizing the disruption of data loss from any cause.

Gijsbert Janssen van Doorn, Technology Evangelist, Zerto 

In 2018 we saw hardware vendors trying to converge the software layer into their product offering, but all they’ve really created is a new era of vendor lock-in — a hyper-lock-in in many ways. In 2019 organizations will rethink what converged solutions mean. As IT professionals increasingly look for out-of-the-box ready solutions to simplify operations, we’ll see technology vendors work together to bring more vendor-agnostic, comprehensive converged systems to market.

Gary Watson, CTO of StorCentric, and Founder, Nexsan

This year we have seen people gravitate towards high capacity storage, which is being fueled by the growing volume and complexity of data. 2018 was full of the challenges that having a massive media library comes with, but with the upcoming implementation of high density and scalable storage in 2019, these challenges will be significantly reduced. One of the main struggles we have seen is the difficulty of storing data in different locations, but with automation tools improving and becoming more accessible, users will be able to make decisions about where their data is stored and for how long. In 2019, we are most likely to see organizations taking advantage of this in a hybrid cloud model, creating the perfect IT balance.

Nikita Ivanov, Founder and CTO, GridGain Systems

The database world is rapidly moving towards a database-platform-as-a-service or “dbPaaS” model in which databases are consumed as a service from cloud providers. I anticipate this trend to increasingly also apply to in-memory computing solutions. In-memory-computing-platform-as-a-service or imcPaaS solutions will enable companies to easily consume in-memory computing platforms as PaaS solutions on major cloud services such as AWS, Microsoft Azure, Oracle Cloud, Huawei Cloud and more. We already see leading companies across a range of industries from financial services to online business services to transportation and logistics deploying the GridGain in-memory computing platform on private and public clouds for large-scale, mission-critical use cases. In-memory computing vendors are already making their products available as dbPaaS or imcPaaS solutions and I predict those solutions will increase in functionality add new services at an increasing rate in 2019. 

Anupam Singh, GM of Analytics, Cloudera

Enterprise business units want agility from their data warehouses so that they can answer business questions at a very high velocity. IT teams have petabytes of data on their on-premise clusters with the ability to bring up thousands of containers with minimal admin costs. Business users will use this cloud-native infrastructure to build self-service, transient, and short-lived data applications. With new technologies that allow us to share data context across multiple clouds, we’ll see organizations move seamlessly between private cloud and public clouds. With this shared data, we expect a blurring of data residing between public and private cloud.

Ravi Mayuram, CTO, Couchbase

Database sprawl will continue as different types of databases proliferate. App developers are creating a lot of data in a lot of different ways, but it’s all bumping into each other without a servicized solution that offers flexibility to house and manage this data. As it stands, developers are using multiple databases for each individual application, creating a database sprawl as users cobble together multiple databases to plug different holes in the system. While the short-term gain of being able to use emerging technologies and have many choices seems great upfront, companies need to consider their long-term goals, rather than select a cobbled together, quick solution.


Service delivery management: Integrating IT management tools | killexams.com real questions and Pass4sure dumps

Every company has its enterprise network management software ninjas who launch into action when alerts go off or users complain – not to ensure an internal service level agreement but to determine whether the problem is a network issue at all.

In fact, every IT silo -- servers, applications, storage -- has these ninjas running their own tools in isolation from one another, all hoping to prove the problem is someone else's fault.

In the meantime, crucial applications perform poorly. So, for many enterprises, this finger-pointing just isn't good enough anymore. That's why network management software vendors and IT management vendors are moving toward service assurance strategies in which all IT management tools, including enterprise network management software, feed into a single service delivery management console that gives applications teams, IT executives and business unit managers a unified view of how the entire IT infrastructure works together to deliver an application. When something goes wrong, the IT silos can work together to resolve the issue rather than retreating to their individual toolsets.

CA Technologies has reorganized much of its IT management portfolio into a service delivery management product line in which many of its tools, including recently acquired NetQoS Performance Center, roll into a CA Spectrum Service Assurance console. Today, NetScout introduced nGenius Service Delivery Manager, which takes the network traffic collection capabilities of the company's enterprise network management software and gives customers a high-level view of how different components of IT infrastructure are working together to deliver applications. NetScout has also designed the product to integrate with some of the major IT management vendors' products, including IBM Tivoli and HP Openview.

How one service delivery management model works

For the last two years, Craig Yappert has been leading the effort to institute a service delivery management model at Oracle, where he serves as senior director of enterprise monitoring solutions for the company's global IT organization. He has been working to combine network management tools from Monolith Software and NetScout with Oracle's own Enterprise Management product and an internal configuration management database (CMDB) into a custom-built service assurance platform. The project has led to a transformation of how Oracle troubleshoots its internal applications.

"In the past … a help desk ticket … would go to the team responsible for the application, and they would begin troubleshooting. The server team would go off and try to solve the problem. The application team would try to solve the problem. The storage team would try to solve the problem and the network team would try to solve the problem," Yappert said. "Having a consolidated view of what is going on internally reduces the time and the complexity of communication [between silos]…. They're working from an application layer into a network layer, and they can say, 'The reason we're having a problem is because the firewall is overloaded.'"

Service delivery management also enables network managers to cull trends from network monitoring data in a more proactive manner.

"We can say from a capacity perspective, this is what your service looks like," Yappert said. "We're seeing a lot of network activity increase from month to month, and we're seeing an increase in storage activity. We see that you're moving a lot of data from storage to your application layer across the network. We need to optimize that. Maybe we need to look at a new architecture, or we can look at partitioning you off and giving you more bandwidth."

Network managers should be ready for a service assurance initiative or internal SLA

Networking teams have to keep their eye on the emergence of service assurance models in their companies, since they typically don't drive the shift toward service delivery management.

"The network guys are typically the last ones invited to the party," said Jim Frey, research director for Enterprise Management Associates. "Service assurance usually comes from the CIO down. It usually starts at the help desk and moves into application support and then into the data center. Then the network guys get brought in after that."

Network managers shouldn't sit and wait for it to happen, however. They should make sure that the enterprise network management software they have today will fit inside a service assurance model.

"Every network monitoring tool over time needs to understand how to present the data they collect in a business-oriented or service-oriented manner," Frey said. "You've got to be able to provide information back to the operations team that says what services are affected [by an event] and what business group this is affecting. Those that are part of a broader suite can do it intrinsically. Those that aren't have to integrate with someone who has a service assurance model."

Yappert recently replaced a legacy network monitoring product with a product from Monolith Software because it had open APIs that Oracle could use to integrate the product into its overall service delivery management technology.

"When we select vendors now, and what we are driving existing vendors to do, is to ensure they provide us with open APIs so we can access information and repurpose that information to fit the specific needs of the business rather than changing our business needs to fit the tool," he said.

Service delivery management begins with the right tools

Jason Hall, director of IT systems for furniture retailer Rooms To Go, is a CA customer who uses many of the enterprise network management software and application management software products that make up CA's service assurance package. His company uses CA NSM, CA Spectrum Infrastructure Manager and CA eHealth Performance Manager. Hall is not quite ready to add the Spectrum Service Assurance product to tie it all together because he simply has too many other projects on his plate at the moment.

However, he recently added NetQoS Performance Center to fill a gap in the company's ability to manage and monitor application performance and bandwidth utilization, which has given him the basic tools to start managing infrastructure from a service delivery management perspective. Before installing NetQoS, Hall had no visibility into how end users were experiencing application and service performance across the WAN or LAN.

"It was purely the end user," he said. "We waited for someone to call. Operationally, that gives the end user the perspective that the systems are slow … and that we're not doing anything about it. It decreases their confidence in the actual systems. Sneakernet is never a reliable source of information. Once it gets to the third person, the information is not that good anymore. You end up chasing phantoms real quick."

Hall said that adding NetQoS's performance management capabilities to his suite of tools has helped him monitor the delivery of critical centralized applications, such as a point of sale application that is used by all of his company's stores. It's also helped him solve some service delivery mysteries, particularly with his company's intranet.

"We discovered that the server [hosting the intranet] was pretty much awful," he said. "We'd had people complain. The developers looked at the application and said, 'We don't see anything.' We went back and forth with them."

Hall's team used NetQoS to demonstrate that the network was performing just fine when delivering intranet applications, and they were able isolate the problem to the server.

Ultimately, Hall wants to combine all his management tools into a single service assurance console. That way, he will avoid jumping from console to console to find the answers.

"That's exactly it … being able to get the answer quicker with a unified view and being able to tie it all together instead of having the pieces and the slices spread around," he said. "That is a place we need to head to, but right now I just don't have the time to undertake another project."

Let us know what you think about the story; email: Shamus McGillicuddy, News Editor


Business Application Software analyzes systems performance. | killexams.com real questions and Pass4sure dumps

Press Release Summary:

FactFinder(TM) v3.0 enables users to monitor/manage application system performance and troubleshoot system components in physical, virtual, or cloud environments. It analyzea performance via AppSmart(TM) technology which, names URL sets, hostnames, and application pools, and provides system dependency maps to measure load curves for capacity planning. Scaling to thousands of servers, program also drills down into individual application systems of up to 250 servers.

Original Press Release: BlueStripe Software Only Provider to Allow Monitoring and Measuring of Application Service Requests across Entire Application Systems in Any Environment - Physical, Virtual, or Cloud

FactFinder(TM) 3.0 monitors production business application systems, identifies slowdowns, and delivers service request response time performance metrics, hop-by-hop, across entire application systems

RTP, N.C. - September 15, 2009 - BlueStripe Software today announced FactFinder 3.0, the only Application Service Management (ASM) solution that enables Service Delivery, IT Operations, and Application Support teams to monitor and manage application system performance and troubleshoot system components across any application environment: physical, virtual, or cloud. This capability radically improves IT operations' ability to quickly isolate and identify causes of slow applications by delivering real-time, hop-by-hop, visibility into critical service request performance metrics across heterogeneous environments.

FactFinder uniquely provides application service request performance metrics across tiers and between nodes, at the process-level, for each application component across an entire application system. FactFinder manages applications as full systems, isolating requests for discrete systems enabling Service Delivery and Application Managers to better meet service-level requirements. When application components are spread across different platforms - physical, virtual and cloud - FactFinder identifies the application and provides the visibility needed to ensure proper application performance.

"Multi-tier application systems have layered architectures that make monitoring IT service levels and aligning them with business performance extremely complicated," said Milind Govekar, research vice president, Gartner, Inc. "The challenge of managing these systems signifies that application support needs to become more systematic, as ITIL and ITSM, in theory, address. Solutions that track production application performance and analyze individual components will expedite IT service initiatives and unlock more business value."

FactFinder, using BlueStripe's patented AppSmart(TM) technology, delivers unprecedented visibility into application systems by automatically generating real-time Application System Maps, providing live views of application requests across tiers and components, and delivering load curve analysis to know how applications will scale. These monitoring capabilities provide the facts IT support teams need to analyze production application performance across any application environment. Key new features in FactFinder 3.0 include:

o Automatic Application System Identification: In 10 minutes, FactFinder, using AppSmart Technology, automatically maps application transaction systems and highlights discrete systems within the IT infrastructure, naming URL sets, hostnames and app pools for monitoring and fast triage. System dependency maps measure real-time load curves for proactive capacity planning.

o Application Transaction System Monitoring: Provides a dashboard of multiple applications, including URL-level visibility and hop-by-hop service request response times at every level across application tiers.

o Rewind Problem Replay: In addition to FactFinder's existing real-time & historical problem analysis, FactFinder's new Rewind capability gives a "black-box flight recorder" for application server platforms, enabling complete replay of application problems for systems not already under monitoring.

o Enterprise Fleet Scaling: Scales to thousands of servers across physical, virtual and cloud platforms, and drills down into individual application systems of up to 250 servers for complete visibility of response times and component usage across an enterprise. Federates multiple FactFinder deployments for problem solving collaboration.

Real-World Data for Pragmatic ITSM Application Management

FactFinder delivers the key performance indicators, including service request response times, of applications that span multiple technology silos that ITSM Service Delivery Managers have been seeking to improve application service. With the ability to monitor business-critical production applications in real time through FactFinder, enterprises have the actionable data they need to quickly locate performance degradation and improve IT service to the business.

"FactFinder 3.0 focuses on individual applications amongst the sea of system components our customers are charged with managing," said BlueStripe Co-Founder and CEO Chris Neal. "By monitoring the overall application system, FactFinder makes it easier for all levels of support teams to make sense of complex applications that cross different platforms. It only takes one overloaded server or poorly configured cloud service in the chain of an application system to affect end-user response time and lose revenue. The BlueStripe mission is to help our customers resolve application slowdowns wherever they occur, whenever they occur."

Find the Facts on BlueStripe and ITSM

o FactFinder 3.0 will make its debut at the itSMF USA Fusion 09 conference on September 20-23, 2009, in Dallas, Texas. Press and analysts interested in a demonstration or briefing at the event should contact Toni Iafrate at bluestripe@daviesmurphy.com.

o BlueStripe Co-Founder and COO Vic Nyman will also present as part of a webinar on ITSM strategies hosted by Senior Analyst Glenn O'Donnell of Forrester Research on September 18, 2009. Register for the event at bluestripe.com/resources/media/forrester-itsm.

o Download a complimentary copy of "Troubleshooting Application Slowdowns" white paper: bluestripe.com/resources/thought-leadership/whitepapers/aberdeen-summary.html.

Availability and Pricing

The new FactFinder 3.0 is available beginning September 22, 2009. Pricing starts at $10,000. Product trials will be available at bluestripe.com.

About BlueStripe Software

BlueStripe Software provides the only Application Service Management (ASM) solution that gives IT Organizations the visibility into exactly what IT components make up important business applications, where the application service requests go in those systems, and exactly where the requests are spending time and why. BlueStripe's flagship product, FactFinder, provides 24x7 monitoring and problem management for important production applications across any application architecture, across any server platform: physical, virtual, or cloud.

Based in the Research Triangle Park area of N.C., BlueStripe is led by an executive team that has built some of the industry's leading enterprise application management companies, including Wily Technology, Relicore, Computer Associates, Remedy and IBM/Tivoli. For additional information, please visit bluestripe.com.

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