Transcript of a sponsored podcast discussion from HP Discover 2011 in Las Vegas on How HP's converged strategy is designed to meet the challenges facing IT today.
How the Modern Data Center Extends Across Remote Locations Due to Automation ...Dana Gardner
A discussion on how new demands from the industrial edge, 5G networks, and hybrid deployment models will lead to more diverse types of data centers in more places.
Inside Out and Upside Down - FOO Camp 2016 - Peter CoffeePeter Coffee
Four "truths" of IT are still true enough to yield ROI by pursuing their further development -- but you'll never realize how much you left on the table by failing to appreciate their transformation in a massively connected world.
How the Modern Data Center Extends Across Remote Locations Due to Automation ...Dana Gardner
A discussion on how new demands from the industrial edge, 5G networks, and hybrid deployment models will lead to more diverse types of data centers in more places.
Inside Out and Upside Down - FOO Camp 2016 - Peter CoffeePeter Coffee
Four "truths" of IT are still true enough to yield ROI by pursuing their further development -- but you'll never realize how much you left on the table by failing to appreciate their transformation in a massively connected world.
Crowdsourced topic rankings at Snowforce 2017 in Salt Lake City drove this one-hour "Top 10" -- from evolving role of CIO, up through AI-leveraged connection, into a culture of innovation. (Peter Coffee, VP for Strategic Research at Salesforce)
Big Data Pushes Enterprises into Data-Driven Mode, Makes Demands for More App...Dana Gardner
Transcript of a BriefingsDirect podcast on how creating big-data capabilities are new top business imperatives in dealing with a flood of data from disparate sources.
O'Reilly ebook: Machine Learning at Enterprise Scale | QuboleVasu S
Real-world data science practitioners offer perspectives and advice on six common Machine Learning problems
https://www.qubole.com/resources/ebooks/oreilly-ebook-machine-learning-at-enterprise-scale
Putting Buyers and Sellers in the Best Light, How Etsy Leverages Big Data for...Dana Gardner
Transcript of a sponsored discussion on how Etsy uses data science to improve their buyers and sellers’ experience as well as theiown corporate destiny.
A sample of my book "Business unIntelligence - Insight and Innovation beyond Analytics and Big Data", published by Technics Publications, 2013.
Chapter 5 shows the evolution of the Data Warehouse architecture and provides a description of some aspects of a modern Information architecture.
The book can be ordered in hard and softcopy formats at http://bit.ly/BunI-TP1
Why Big Data Analytics Needs Business Intelligence Too Barry Devlin
Business and IT are facing the challenge of getting real and urgent value from ever-expanding information sources. Building independent silos of big data analytics is no longer enough. True progress comes only by integrating data from traditional operational and informational sources with the new sources that are becoming available, whether from social media or interconnected machines.
In this April 2014 BrightTALK webinar, Dr. Barry Devlin describes the thinking, architecture, tools and methods needed to achieve a new joined-up, comprehensive data environment.
Business unIntelligence - a Whistle Stop TourBarry Devlin
The old world of business intelligence is being transformed into a new biz-tech ecosystem. Analytics is forcing the recombination of operational and informational systems in a consistent and coherent IT environment for all business activities. Big data—despite the hype—introduces two very different types of information that transform how business processes interact with the external world. Together, these directions are driving a new BI, so different to its prior form that I call it “Business unIntelligence”. This session covers:
- Business drivers and results of the biz-tech ecosystem
- Modern conceptual and logical architectures for information, process and people
- Positioning of all forms of business analytic and big data
Data-Ed Online Webinar: Monetizing Data ManagementDATAVERSITY
Many data professionals struggle with the ability to demonstrate tangible returns on data management investments. In a webinar that is designed to appeal to both business and IT attendees, your presenter will describe multiple types of value produced through data-centric development and management practices. One of our examples, the healthcare space, offers the unique opportunity to demonstrate additional types of return on investment or value outcomes, namely returns in the form of lives saved through increased rates of Bone Marrow Donor matches. In addition to metrics around increasing revenues or decreasing costs, i.e. investments that directly impact an organization’s financial position, these additional statistics of lives saved can be used to justify data management and quality initiatives.
Takeaways:
Learn to think about data differently, in terms of how it can drive organizational needs. Data is not an IT solution but an information solution.
Take a broad view to ensure data sharing across organizational silos
Start small and go for quick wins: Build momentum and support
How Unisys and Microsoft Team Up To Ease Complex Cloud Adoption For Governmen...Dana Gardner
A discussion how public and private sector IT organizations can ease cloud adoption using cloud-native apps, services modernization, automation, and embedded best practices.
Every year around this time a group of us at Tableau try to slow down and take a look around. We take some time to talk about what’s happening in the market—what’s new, what’s surprising, what’s meaningful. And what a time to be in the world of data and analytics! Smart new platforms are launched seemingly every month. Organizations are starting to see the benefits of broadly empowering people with data. People are using data in ways that were science fiction just a couple of years ago.
It’s always a great discussion. It’s this discussion that drives our Top 10 Trends in Business Intelligence for 2015.
Need for Fast Analytics Across All Kinds of Healthcare Data Spurs Converged S...Dana Gardner
Transcript of a sponsored discussion on how a triumvirate of big players have teamed to deliver a rapid and efficient analysis capability across disparate data types for the healthcare industry.
The Long Road of IT Systems Management Enters the Domain of AIOps-Fueled Auto...Dana Gardner
A discussion on how IT management technologies and methods have evolved to optimize and automate workloads to exacting performances and cost requirements.
Rethinking Employee Well-Being in the New World of Digital Work: New Models D...Dana Gardner
Transcript of a discussion on the current state of employee well-being and how new pressures and complexity from distance working may need new forms of employer-managed support.
IT and Business solutions through Cloud and Big Data transformation for stron...Rolta
Rising tide of data velocity and multiplication of IT environment has caused problems to the organizations in holding their market presence. In a bid to outperform competition, and problem organizations need heavy research to get to a feasible solution. To conquer these difficulties, Rolta delivers a range of services which help organizations in building strong IT infrastructure with minimal support costs.
Crowdsourced topic rankings at Snowforce 2017 in Salt Lake City drove this one-hour "Top 10" -- from evolving role of CIO, up through AI-leveraged connection, into a culture of innovation. (Peter Coffee, VP for Strategic Research at Salesforce)
Big Data Pushes Enterprises into Data-Driven Mode, Makes Demands for More App...Dana Gardner
Transcript of a BriefingsDirect podcast on how creating big-data capabilities are new top business imperatives in dealing with a flood of data from disparate sources.
O'Reilly ebook: Machine Learning at Enterprise Scale | QuboleVasu S
Real-world data science practitioners offer perspectives and advice on six common Machine Learning problems
https://www.qubole.com/resources/ebooks/oreilly-ebook-machine-learning-at-enterprise-scale
Putting Buyers and Sellers in the Best Light, How Etsy Leverages Big Data for...Dana Gardner
Transcript of a sponsored discussion on how Etsy uses data science to improve their buyers and sellers’ experience as well as theiown corporate destiny.
A sample of my book "Business unIntelligence - Insight and Innovation beyond Analytics and Big Data", published by Technics Publications, 2013.
Chapter 5 shows the evolution of the Data Warehouse architecture and provides a description of some aspects of a modern Information architecture.
The book can be ordered in hard and softcopy formats at http://bit.ly/BunI-TP1
Why Big Data Analytics Needs Business Intelligence Too Barry Devlin
Business and IT are facing the challenge of getting real and urgent value from ever-expanding information sources. Building independent silos of big data analytics is no longer enough. True progress comes only by integrating data from traditional operational and informational sources with the new sources that are becoming available, whether from social media or interconnected machines.
In this April 2014 BrightTALK webinar, Dr. Barry Devlin describes the thinking, architecture, tools and methods needed to achieve a new joined-up, comprehensive data environment.
Business unIntelligence - a Whistle Stop TourBarry Devlin
The old world of business intelligence is being transformed into a new biz-tech ecosystem. Analytics is forcing the recombination of operational and informational systems in a consistent and coherent IT environment for all business activities. Big data—despite the hype—introduces two very different types of information that transform how business processes interact with the external world. Together, these directions are driving a new BI, so different to its prior form that I call it “Business unIntelligence”. This session covers:
- Business drivers and results of the biz-tech ecosystem
- Modern conceptual and logical architectures for information, process and people
- Positioning of all forms of business analytic and big data
Data-Ed Online Webinar: Monetizing Data ManagementDATAVERSITY
Many data professionals struggle with the ability to demonstrate tangible returns on data management investments. In a webinar that is designed to appeal to both business and IT attendees, your presenter will describe multiple types of value produced through data-centric development and management practices. One of our examples, the healthcare space, offers the unique opportunity to demonstrate additional types of return on investment or value outcomes, namely returns in the form of lives saved through increased rates of Bone Marrow Donor matches. In addition to metrics around increasing revenues or decreasing costs, i.e. investments that directly impact an organization’s financial position, these additional statistics of lives saved can be used to justify data management and quality initiatives.
Takeaways:
Learn to think about data differently, in terms of how it can drive organizational needs. Data is not an IT solution but an information solution.
Take a broad view to ensure data sharing across organizational silos
Start small and go for quick wins: Build momentum and support
How Unisys and Microsoft Team Up To Ease Complex Cloud Adoption For Governmen...Dana Gardner
A discussion how public and private sector IT organizations can ease cloud adoption using cloud-native apps, services modernization, automation, and embedded best practices.
Every year around this time a group of us at Tableau try to slow down and take a look around. We take some time to talk about what’s happening in the market—what’s new, what’s surprising, what’s meaningful. And what a time to be in the world of data and analytics! Smart new platforms are launched seemingly every month. Organizations are starting to see the benefits of broadly empowering people with data. People are using data in ways that were science fiction just a couple of years ago.
It’s always a great discussion. It’s this discussion that drives our Top 10 Trends in Business Intelligence for 2015.
Need for Fast Analytics Across All Kinds of Healthcare Data Spurs Converged S...Dana Gardner
Transcript of a sponsored discussion on how a triumvirate of big players have teamed to deliver a rapid and efficient analysis capability across disparate data types for the healthcare industry.
The Long Road of IT Systems Management Enters the Domain of AIOps-Fueled Auto...Dana Gardner
A discussion on how IT management technologies and methods have evolved to optimize and automate workloads to exacting performances and cost requirements.
Rethinking Employee Well-Being in the New World of Digital Work: New Models D...Dana Gardner
Transcript of a discussion on the current state of employee well-being and how new pressures and complexity from distance working may need new forms of employer-managed support.
IT and Business solutions through Cloud and Big Data transformation for stron...Rolta
Rising tide of data velocity and multiplication of IT environment has caused problems to the organizations in holding their market presence. In a bid to outperform competition, and problem organizations need heavy research to get to a feasible solution. To conquer these difficulties, Rolta delivers a range of services which help organizations in building strong IT infrastructure with minimal support costs.
Viele CIOs fragen sich:
- Wohin in Zukunft mit meiner ICT Infrastruktur?
- Was ist dran an der Microsoft Cloud Vision?
Praxisnahe Antworten finden Sie hier.
Enterprise transformation with cloud computing Jan 2014Gaurav "GP" Pal
We concluded on Jan 31, 2014 another fabulous edition of the Digital Innovation Breakfast. Over 60 people registered and listened to the keynote address by Mr. Bernie Mazer, CIO, US Department of the Interior. This was followed by a lively panel discussion that included US Department of the Interior, US Department of the Treasury, Accenture, Microsoft and Gartner. We are now set to execute on the third edition of the event scheduled for late April 2014/early May 2014 titled “Big Data in Financial Services”.
Desktop to Cloud Transformation PlanningPhearin Sok
Traditional desktop delivery model is based on
a large number of distributed PCs executing operating system
and desktop applications. Managing traditional desktop
environments is incredibly challenging and costly. Tasks like
installations, conguration changes, security measures require
time-consuming procedures and dedicated deskside support. Also
these distributed desktops are typically underutilized, resulting
in low ROI for these assets. Further, this distributed computing
model for desktops also creates a security concern as sensitive
information could be compromised with stolen laptops or PCs.
Desktop virtualization, which moves computation to the data
center, allows users to access their applications and data using
stateless thin-clientdevices and therefore alleviates some of
the problems of traditional desktop computing. Enterprises can
now leverage the exibility and cost-benets of running users'
desktops on virtual machines hosted at the data center to enhance
business agility and reduce business risks, while lowering TCO.
Recent research and development of cloud computing paradigm
opens new possibilities of mass hosting of desktops and providing
them as a service.
However, transformation of legacy systems to desktop clouds
as well as proper capacity provisioning is a challenging problem.
Desktop cloud needs to be appropriately designed and provisioned
to offer low response time and good working experience
to desktop users while optimizing back-end resource usage and
therefore minimizing provider's costs. This paper presents tools
and approaches we have developed to facilitate fast and accurate
planning for desktop clouds. We present desktop workload
proling and benchmarking tools as well as desktop to cloud
transformation process enabling fast and accurate transition of
legacy systems to new cloud-based model.
Data Center, Private Cloud/IT transformationCisco Canada
The private cloud is one of today’s fastest growing data center solutions, and the significance of a secure architecture for business applications agnostic to the infrastructure is increasing. Cisco IT is building the foundation for business resiliency; however, resiliency, at every layer of the business environment requires a holistic approach to managing and orchestrating infrastructure, platform, and application resources within a data center and across multiple data centers.
In this short talk, Ishow some great ways you can use Jenkins to supercharge both the development AND deployment of your Ruby projects. Finally, I will demonstrate how you can extend the Jenkins CI server (which is written in Java) with nothing Ruby code.
If you aren't getting the most out of your CI tools, or you aren't using a CI tool at all, then this is for you! Implementing a proper CI is a game changer to the way you and your team develop software.
AWS re:Invent 2016: [JK REPEAT] The Enterprise Fast Lane - What Your Competit...Amazon Web Services
Fed up with stop and go in your data center? Shift into overdrive and pull into the fast lane!
Learn how AutoScout24, the largest online car marketplace Europe-wide, are building their Autobahn in the Cloud.
The secret ingredient? Culture! Because “Cloud” is only one half of the digital transformation story: The other half is how your organization deals with cultural change as you transition from the old world of IT into building microservices on AWS with agile DevOps teams in a true „you build it you run it“ fashion.
Listen to stories from the trenches, powered by Amazon Kinesis, Amazon DynamoDB, AWS Lambda, Amazon ECS, Amazon API Gateway and much more, backed by AWS Partners, AWS Professional Services, and AWS Enterprise Support.
Key takeaways: How to become Cloud native, evolve your architecture step by step, drive cultural change across your teams, and manage your company’s transformation for the future.
Data Center 3.0 Infrastructure Transformationdigitallibrary
The data center is the center of the IT universe. It is the primary source for computing cycles, storage capacity, business applications, and information of all forms. This central positioning also causes the data center to be a target - for budget overruns, user blame, power shortages, security breaches, and worst of all, business shortfalls. Learn how to ensure your data center delivers on its business promise and makes the most cost-effective and efficient use of data center resources - from networks to servers to storage to power.
When customers think about moving to the cloud, one of their first considerations is cost. AWS helps lower customer costs through its “pay only for what you use” pricing model. In this session, we explain our TCO analysis methodology and explore the financial considerations of owning and operating a traditional data center or managed hosting provider compared with using AWS services. Customers also share their processes for developing the right cost savings and optimization model.
Next Generation Data Center - IT TransformationDamian Hamilton
Computerworld CIO Event in Hong Kong sponsored by Dimension Data, EMC & Cisco.
Insights into Dimension Data's DC strategy and recent Client engagements
The People Model and Cloud Transformation | AWS Public Sector Summit 2016Amazon Web Services
A successful cloud transformation journey incorporates the three pillars of transformation: people, process, and technology. While leveraging the technology, the people component drives transformations. But far too often, cloud transformation efforts concentrate on the process improvement strategies and technology implementation, while essentially ignoring the human aspect of the change initiative and the opportunity to develop a more agile, DevOps culture. Many leaders who look back on previous change initiatives reflect that process and technology were simple to change compared to the people part of the organization. A central perspective within the AWS Cloud Adoption Framework, the "people perspective," guides organizations about aspects that affect people to reduce the risk and accelerate the value realization from cloud adoption. This session covers best-practice methods that enable customers to address challenges in setting up the right organizational structure to manage cloud operations, roles and job responsibilities during transition and post-cloud adoption, assessing gaps in skills and competencies required, building effective training models, and shaping a DevOps culture.
These slides--based on the webinar featuring Dennis Drogseth, VP of research at leading IT analyst firm Enterprise Management Associates (EMA)--leverage EMA’s consulting expertise and extensive research in digital and IT transformation, IT analytics and requirements to optimize IT for cost and value.
Fast-Changing Demands on Data Centers Drives the Need for Automated Data Cent...Dana Gardner
Transcript of a BriefingsDirect podcast on how organization need to deal with the impact that IT and big data is having on data centers and how DCIM can help.
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...Dana Gardner
Transcript of a discussion on how improving end-user experiences and using big data analytics helps head off digital disruption and improve core operations.
BIG DATA is having an enormous impact on the profile of workforces around the world. If you've ever seen the technology and experienced the impact it has on the pace of innovation in a business then the predictations made by McKinsey Global Institute will come as no surprise ( and just in case you've been on holiday for around two years, McKinsey is suggesting that by 2018 the US will face a shortfall of close to 200,000 analysts and 1.5 million managers with the right skills. In this presentation I outline the impact of BIG DATA on workforce design. I hope you find it informative and fun to read. Ian.
Platform 3.0 Ripe to Give Standard Access to Advanced Intelligence and Automa...Dana Gardner
Transcript of a BriefingsDirect podcast on how The Open Group is working to stay ahead of challenges organization face with an increase in data volume and sources.
Transcript of a BriefingsDirect podcast on how a major telecom company has improved its IT performance to deliver better experiences and payoffs for its businesses and end users alike.
Survey Says: Investing in IT Distinguishes Industry Leaders from Industry Lag...Dana Gardner
Transcript of a sponsored BriefingsDirect podcast on the results of a survey that shows that innovation focusing on information and KPIs drives substantial positive business results.
The Evolution of Data Center Infrastructure Has Now Ushered in The Era of Dat...Dana Gardner
A discussion on how intelligent data center designs and components are delivering what amounts to data centers-as-a-service to SMBs, enterprises, and public sector agencies.
How HPE ‘Moments’ Provide A Proven Critical Approach To Digital Business Tra...Dana Gardner
Transcript of a discussion with HPE Pointnext Services experts as they detail a multi-step series of “Moments” that guide organizations on their transformations.
Closing the Digital Transformation GapDana Gardner
Transcript of a discussion on how intelligence gleaned from business applications, data, and networks provides the best new hope for closing the digital transformation gap at many companies.
The Right Data Warehouse: Automation Now, Business Value ThereafterInside Analysis
The Briefing Room with Dr. Robin Bloor and WhereScape
Live Webcast on April 1, 2014
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=7b23b14b532bd7be60a70f6bd5209f03
In the Big Data shuffle, everyone is looking at Hadoop as “the answer” to collect interesting data from a new set of sources. While Hadoop has given organizations the power to gather more information assets than ever before, the question still looms: which data, regardless of source, structure, volume and all the rest, are significant for affecting business value – and how do we harness it? One effective approach is to bolster the data warehouse environment with a solution capable of integrating all the data sources, including Hadoop, and automating delivery of key information into the rights hands.
Register for this episode of The Briefing Room to hear veteran Analyst Robin Bloor as he explains how a rapidly changing information landscape impacts data management. He will be briefed by Mark Budzinski of WhereScape, who will tout his company’s data warehouse automation solutions. Budzinski will discuss how automation can be the cornerstone for closing the gap between those responsible for data management and the people driving business decisions.
Visit InsideAnlaysis.com for more information.
Big Data Meets HCI—How South African Insurance Provider King Price Gives Deve...Dana Gardner
Transcript of a discussion on how an insurance innovator built a modern hyperconverged infrastructure environment that rapidly replicates databases to accelerate developer agility.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
The Art of the Pitch: WordPress Relationships and Sales
HP's Converged Infrastructure and Data Center Transformation Models Define the Modern IT Strategy
1. HP's Converged Infrastructure and Data Center
Transformation Models Define the Modern IT Strategy
Transcript of a sponsored podcast discussion from HP Discover 2011 in Las Vegas on How HP's
converged strategy is designed to meet the challenges facing IT today.
Listen to the podcast. Find it on iTunes/iPod and Podcast.com. Download the transcript. Sponsor:
HP
Dana Gardner: Hi. This is Dana Gardner, Principal Analyst at Interarbor Solutions, and you're
listening to BriefingsDirect. Today, we present a sponsored podcast discussion in
conjunction with the HP Discover 2011 conference in Las Vegas.
We’ll explore some major news around converged infrastructure and data center
transformation, and learn how these strategic business goals of enterprises are
more tightly aligned than ever to how IT infrastructure modernization takes root.
[Disclosure: HP is a sponsor of BriefingsDirect podcasts.]
Until fairly recently, large IT organizations were grappling with a lot of unknown unknowns
when it comes to the rapidly shifting requirements for their infrastructure and facilities. There
was a sizable risk of locking in too quickly or in adopting unproven technology and then paying
a dear price later, either in wasted investments or ending up with insufficient resources.
But now, after a series of rapidly maturing trends around application types, cloud computing,
mobility, and changing workforces, the proper IT requirements mix seems much clearer. In just
the past few years, the definition of what a modern IT infrastructure needs and what it needs to
do has finally come into focus.
We know, for example, that we’ll see most data centers converge their servers, storage, and
network platforms intelligently. We know that we’ll see higher levels of virtualization across
these platforms and more applications, and that, in turn, will support the adoption of hybrid and
cloud models.
We’ll surely see more compute resources devoted to big data and business intelligence (BI)
values that span ever more applications and data types. And of course, we’ll need to support far
more mobile devices and distributed IT-savvy workers.
There is no longer a lot of risk in describing the quintessential data center of today and tomorrow
and in recognizing that it will need to be highly energy efficient, automated, flexible, and
modular. It will need to scale up and down and to adapt without complexity, delay, or undue
waste.
It’s now also no great leap of faith to recognize that how well companies modernize and
transform, these strategic and foundational IT resources will hugely impact your success and
2. managing their own agile growth and in controlling ongoing costs and margins. Indeed the
mingling of IT success and business success is clearly inevitable.
So, now comes the actual journey. At HP Discover, the news is largely about making the
inevitable future happen more safely by being able to transform the IT that supports businesses in
all of their computing needs for the coming decade. IT executives must execute rapidly now to
manage how the future impacts them and to make rapid change an opportunity, not an adversary.
How to execute
We're here with a panel of HP executives to explore the how, no longer dwelling on the why or
when, to best execute on converged infrastructure and data center transformation.
Please join me now in welcoming our panel. We're here today with Helen Tang,
Solutions Lead for Data Center Transformation and Converged Infrastructure
Solutions for HP Enterprise Business. Welcome, Helen.
Helen Tang: Thanks, Dana. Great to be here.
Gardner: We are also here with Jon Mormile. He is the Worldwide Product
Marketing Manager for Performance-Optimized Data Centers in HP Enterprise
Storage Servers and Networking, or ESSN group, within HP Enterprise Business. Welcome, Jon.
Jon Mormile: Thanks, Dana. Glad to be here.
Gardner: And, we're here with Jason Newton. He is the Manager of Announcements and Events
for HP ESSN. Welcome, Jason.
Jason Newton: Thanks, Dana.
Gardner: And lastly, Brad Parks, Converged Infrastructure Strategist for HP Storage in the HP
ESSN organization. Welcome, Brad.
Brad Parks: Thanks. Glad to be here.
Gardner: Helen, let me start with you. You've been looking at these trends, and we’ve summed
up a little bit of the urgency, but also the clarity when it comes to what’s needed. You’ve done
additional research leading up to the Discover conference here in Las Vegas. What are some of
the findings, and how are the trends from your perspective coming together to make this IT
transformation inevitable?
Tang: Last year, HP rolled out this concept of the Instant-On Enterprise, and it’s really about the
fact that we all live in a very much instant-on world today. Everybody demands instant
gratification, and to deliver that and meet other constituent’s needs, an enterprise really needs to
become more agile and innovative, so they can scale up and down dynamically to meet these
demands.
3. In order to get answers straight from our customers on how they feel about the state of agility in
their enterprise, we contracted with an outside agency and conducted a survey
earlier this year with over 3,000 enterprise executives. These were CEOs,
CIOs, CFOs across North America, Europe, and Asia, and the findings were
pretty interesting.
Essentially, there were three buckets of questions asked in the survey titled
"The State of Enterprise Agility." The first set of question was, "How important
do you believe agility is in the enterprise?" Not surprisingly, over 95 percent of
respondents said, it's very critical. It’s important to their overall enterprise
success, not just in IT.
The second bucket question was, "If that’s the case, how agile do you feel your current
organization is?" Less than 40 percent of our respondents said, "I think we are doing okay. I
think we have enough agility in the organization to be able to meet these demands."
Not surprising
So the number is so low, but not very surprising to those of us who have worked in IT for a
while. As you know, compared to other enterprise disciplines, IT is a little bit more pre-Industrial
Revolution. It’s not a streamlined. It’s not a standardized. There's a long way to go. That clearly
spells out a big opportunity for companies to work on that area and optimize for agility.
The last area or bucket of questions we asked was, "What do you think is going to change that?
How do you think enterprises can increase their agility?" The top two responses coming back
were about more innovative, newer applications.
But, the number one response coming from CEOs was that it’s transforming their technology
environment. That’s precisely what HP believes. We think transforming that environment and by
extension, converged infrastructure, is the fastest path towards not only enterprise agility, but
also enterprise success.
Gardner: Let’s look at some of the news. There are various parts, and they are related. If we
take them into certain order, I think we can then look at why this whole is greater than the sum of
the parts.
Let’s start with Brad Parks. Looking at the Storage Foundation, HP Storage, tell me how we got
here. Why has storage been, in fact, fractured, difficult to manage, and quite expensive. And
then, what have we done now here at Discover to help bring that together and make that part of a
larger converged infrastructure?
Parks: A couple of years ago, HP took a step back from the current trajectory that we were on as
a storage business and the trajectory that the storage industry as a whole was on. We took a look
4. at some of the big trends and problems that we were starting to hear from customers around
virtualization or on the move to cloud computing, this concept of really big everything.
We’re talking about data, numbers of objects, size, performance requirements, just everything at
massive, massive scale. When we took a look at those trends, we saw that we
were really approaching a systemic failure of the storage that was out there in
the data center.
The challenge is that most of the storage deployed out in the data center today
was architected about 20 years ago for a whole different set of data-center
needs, and when you couple that with these emerging trends, the current
options at that time were just too expensive.
They were too complicated at massive scale and they were too isolated, because 20 years ago,
when those solutions were designed, storage was its own element of the infrastructure. Servers
were managed separately. Networking was managed separately, and while that was optimized for
the problems of the day, it in turn created problems that today’s data centers are really dealing
with.
Thinking about that trajectory, we decided to take a different path. Over the last two years, we’ve
spent literally billions of dollars through internal innovation, as well as some external
acquisitions, to put together a portfolio that was much better suited to address today’s trends.
Common standard
At the event here, we're talking about HP Converged Storage, and this addresses some of the
gaps that we’ve seen in the legacy monolithic and even the legacy unified storage that’s out
there. Converged Storage is built on a few main principles we're trying to drive towards common
industry-standard hardware, building on ProLiant BladeSystem based DNA.
We want to drive a lot more agility into storage in the future by using modern Scale-Out software
layers. And last, we need to make sure that storage is incorporated into the larger converged
infrastructure and managed as part of a converged stack that spans servers and storage and
network.
Gardner: Looking at some of the specifics, it seems as if cost is a big issue here. You've done a
lot to bring cost down, going standard, and making utilization of storage more integrated into the
other facets of the infrastructure. What sort of cost savings are we looking at, when you really do
this well and when you look at it strategically?
Parks: There are really different aspects to cost, thinking about first capital expense. When we're
able to design on industry-standard platforms like BladeSystem and ProLiant, we can take
advantage of the massive supply chain that HP has and roll out solution that are much lower
upfront cost point from a hardware perspective.
5. Second, using that software layer I mentioned, some of the technologies that we bring to bear are
like thin provisioning, for example. This is a technology that helps customers cut their initial
capacity requirements around 50 percent by just eliminating their over-provisioning that is
associated with some of the legacy storage architectures.
Then, operating expense is the other place where this really is expensive. That's where it helps to
consolidating the management across servers and storage and networking, building in as much
automation into the solutions as possible, and even making them self-managing.
For example, our 3PAR Storage solution, which is part of this converged stack, has autonomic
management capabilities which, when we talk to our customers, has reduced some of their
management overhead by about 90 percent. It's self-managing and can load balance, and because
of its wide straightening architecture, it can respond to some of the unpredictable workloads in
the data center, without requiring the administrative overhead.
Gardner: I suppose there's a bit of a catalytic effect, when you do the storage properly or with
more of a modern architecture. You start to be able to move to a greater efficiencies in terms of
the data lifecycle, managing data with an intelligent path in terms of where it's used and not used.
Is there a larger role here for data that also plays into BI, at least addressing data as a lifecycle,
rather than a problem asset?
Parks: One of the things we've seen and talk about with customers worldwide is that data just
doesn't go away. It is around forever and that has contributed to this massive amount of data
growth. So, one of the things we're looking at within HP Converged Storage portfolio is how do
we not only help customers store that information -- for example, the ability to you have to look
across up to 16 petabytes through a single pane of glass, that management view across that
massive amount of information -- but how do they extract more value out of it.
Jason might talk a little bit more about the Vertica AppSystem solution, but within the storage
domain, we're looking at building in intelligent search capabilities into these solutions and
automated tiering to move data around either by physical location or physical tier to get more
efficient and to extract more value out of that content.
Gardner: Let's now move to Jason Newton. Jason, tell about the big converged system’s
portfolio news and perhaps a bit more about that AppSystem that was referenced by Brad.
Converged Infrastructure
Newton: We're really excited about this announcement. If you've heard anything from HP over
the last few years, you've certainly heard a lot about the Converged Infrastructure and our
strategy. In 2009, we started looking at the sprawl that customers were dealing with and the
impact it was having on their business and environment. We saw that if you look ahead 5 or 10
years, convergence is a dominant trend.
6. That's the direction that things were going. We felt like we were in a great position as HP to be
the ones to deliver on a promise of converging server, storage, network, management, security
application all into individual solutions.
So, 2009 was about articulating the definition of what that should look like and what that data
center in the future should be. Last year, we spent a lot of time in new innovations in blades and
mission-critical computing and strategic acquisitions around storage, network, and other places.
The result last year was what we believe is one of the most complete portfolios from a single
vendor in marketplace to deliver converged infrastructure. Now, what we’re doing in 2011 is
building on that to bring all that together and simplify that into integrated solutions and
extending that strategy all the way out to the application.
If we look at what kind of applications customers are deploying today and the ways that they’re
deploying them, we see three dominant new models that are coming to bear. One is applications
in a virtualized environment and on virtual machines and that have got very specific
requirements and demands for performance and concerns about security, etc.
We see a lot of acceleration and interest in applications delivered as a service via cloud. Security
concerns also require new demands on capacity and resource planning, on automation, and
orchestration of all the bits and bytes of the application and the infrastructure.
The third way that we wanted to address was a dedicated application environment. These are
data warehousing, analytics types of workloads, and collaboration workloads, where
performance is really critical, and you want that not on shared resources, but in a dedicated way.
But, you also want to make sure that that is supporting applications in a cloud or virtual
environment.
So in 2011, it's about how to bring that portfolio together in the solution to solve those three
problems. The key thing is that we didn't want to extend sprawl and continue the problem that’s
still out there in the marketplace. We wanted to do all that on one common architecture, one
common management model, and one common security model.
If you look at this trend toward integration and convergence, and you see some of the answers
out there in the marketplace, you’ll see, for example, unique architectural stacks dedicated to a
data warehouse environment or a BI environment. Then, you’ll see a completely different
physical and software architecture for a virtual environment.
Then, if you look at cloud, you see a whole other island of different tools, different parts,
different pieces. With our converged infrastructure strategy, we had the opportunity to do
something really special here.
7. Individual Solutions
What if we could take that common architecture management security model, optimize it,
integrate it into individual solutions for those three different application sets and do it on the stuff
that customers are already using in the legacy application environment today and they could have
something really special?
What we’re announcing today at Discover is this new portfolio we called Converged Systems.
For that virtual workload, we have VirtualSystems or the dedicated application environment,
specifically BI, and data management and information management. We have the AppSystems
portfolio. Then, for where most customers want to go in the next few years, cloud, we announce
the CloudSystem.
So, those are three portfolios, where common architecture addresses a complete continuum of
customer’s application demands. What's unique here is doing that in a common way and being
built on some of the best-of-breed technologies on the planet for virtualization, cloud, high
performance BI, and analytical applications.
Gardner: This is an example where truly converged infrastructure has now gotten us to the level
where we’re looking at not quite business process, but certainly a solution set and some very
powerful capabilities now being executed on at that level.
Let's just quickly dig into one of those levels because it intrigued me. It was from the Vertica
acquisition. We now, basically have a data warehouse, big data, real-time crunching capability,
and a modern architecture designed just for that, but placed on the converged infrastructure. Tell
me why that’s important and why that could be a game changer when it comes to analytics?
Newton: There are a couple of things. You hit on two points there. One is Vertica software, in
and of itself. The architecture is one of the most modern architectures out there today to handle
the analytics in real time.
Before, analytics in a traditional BI data warehouse environment was about reporting. Call up the
IT manager, give them some criteria. They go back and do their wizardry and come back with
sort of a status report, and it's just looking at the dataset that’s in one of the data stores he is
looking.
It sort of worked, I guess, back when you didn’t need to have that answer tomorrow or next
week. You could just wait till the next quarterly review. With the demands of big everything, as
Brad was speaking of, the speed and scale at which the economy is moving the business, and
competition is moving, you've got to have this stuff in real-time.
So we said, "Let’s go make a strategic acquisition. Let’s get the best-in-class, real-time analytics,
a modern architecture that does just that and does it extremely well. And then, let’s combine that
with the best hardware underneath that with HP Converged Infrastructure, so that customers can
8. very easily and quickly bring that capability into their environment and apply it in a variety of
different ways, whether in individual departments or across the enterprise.
Real-time analytics
There are endless possibilities of ways that you can take advantage of real-time analytics with
this solution. Including it into AppSystem makes it very easy to consume, bring it into the
environment, get it up and running, start connecting the data sources literally in minutes, and
start running queries and getting answers back in literally seconds.
What’s special about this approach is that most analytic tools today are part of a larger data
warehouse or BI-centered architecture. Our argument is that in the future of this big everything
thing that’s going on, where information is everywhere, you can’t just rely on the data sources
inside your enterprise. You’ve got to be able to pull sources from everywhere.
In buying a a monolithic, one-size-fits-all OLTP, data warehousing, and a little bit of analytics,
you're sacrificing that real-time aspect that you need. So keep the OLTP environment, keep the
data warehouse environment, bring in its best in class real-time analytic on top of it, and give
your business very quickly some very powerful capabilities to help make better business
decisions much faster.
Gardner: Very good. Jon Mormile, tell me a bit now how these developments we’ve heard from
Brad and Jason now come together and are supported by the news around the data center
transformation here at Discover.
Mormile: Thanks, Dana. First of all, when you talk about today’s data centers, most of them
were built 10 years ago and actually a lot of our analyst’s research talks about how they were
built almost 14-15 years ago. These antiquated data centers simply can’t support the
infrastructure that today’s IT and businesses require. They are extremely inefficient. More of
them require two to three times the amount of power to run the IT, due to inefficient cooling and
power distribution systems.
In addition to these systems, these monolithic data centers are typically over-provisioned and
underutilized. Because most companies cannot build new facilities all the time and continually,
they have to forecast future capacity and infrastructure requirements that are typically outdated
before the data centers are even commissioned.
A lot of our customers are facing similar challenges. As I mentioned, we're talking about the
ability to accommodate today’s IT, and there's the lack of scalability. But, they also have other
driving factors that are affecting your businesses, such as the ability to build scalar facilities
quickly.
They need to reduce construction cost, as well as operational expenses. This places a huge strain
on companies' resources and their bottom lines. By not changing their data center strategy,
businesses are throttled and simply just can’t compete in today’s aggressive marketplace.
9. Gardner: What are you doing to help them with that? What’s coming out? I'm intrigued by the
EcoPOD, but there is more to it than that.
Mormile: As I mentioned, for some of these challenges that customers are facing today, HP
absolutely has a solution. It’s basically surrounding our modular computing portfolio and it helps
to solve these problems.
Modular computing
Our modular computing portfolio started about three years ago, when we first took a look at and
modified an actual shipping container, turning it into a Performance Optimized Data Center
(POD).
This was followed by continuous innovation in the space with new POD designs, the deployment
of our POD-Works facility, which is the world’s first assembly line data centers, the addition of
flexible data center product, and today, with our newest edition, the POD 240A, which gives all
the benefits of a container data center without sacrificing traditional data center look and feel.
Also, with the acquisition of EYP, which is now HP Critical Facilities Services, and utilizing HP
Technical Services, we are able to offer a true end-to-end data center solution from planning and
installation of the IT and the optimized infrastructure go with it, to onsite maintenance and onsite
support globally.
Gardner: So, we really have a continuum here. We're talking about AppSystems, where we've
got appliances running specific apps, some of the Microsoft SQL databases, some of the SAP,
ERP implementations, and then we are going in a concerted fashion down into the infrastructure,
talking about virtualization, and then right into the facilities, where we have these PODs and
modular approaches with efficiencies built in for cooling and energy conservation.
It's sort of end-to-end, but what’s fascinating to me, and I'd like your take on this, Jon, is that it
doesn’t have to be adopted all at once. This is something that you have many different entry
points.
Depending on the specifics of your enterprise, your service provider, whatever stage of
development and maturity you are at, there is a way for you to jump on board, but at least you
can start taking action. That, I think, is the key here. Jon, can you speak about the ability to jump
in at any point, but still makes a significant progress?
Mormile: That’s basically the whole basis of a modular computing portfolio and converged
infrastructure. HP can deliver the server, storage, and networking solution. We actually offer
these solutions to 8 out of the 10 leading social media companies.
When you combine in-house rack and power engineering, delivering finely tuned solutions to
meet customers’ growing power and rack needs, it all comes together. You're talking about taking
10. that IT and those innovations and then taking it to the next level as far as integrating that into a
turnkey solution, which should actually be a POD or modular data center product.
You take the POD, and then you talk about the Factory Express services where we are actually
able to take the IT integrate it into a POD, where you have the server, storage, and networking.
You have integrated applications, and you've cabled and tested it.
The final step in the POD process is not only that we're providing Factory Express services, but
we're also providing POD-Works. At POD-Works, we take the integrated racks that will be
installed in the PODs and we provide power, networking, as well as chilled water and cooling to
that, so that every aspect of the turnkey data center solution is preconfigured and pre-tested. This
way, customers will have a fully integrated data center shipped to them. All they need to do is
plug-in the power, networking, and/or add chilled water to that.
Game changer
Being able to have a complete data center on site up and running in a little as six weeks is a
tremendous game changer in the business, allowing customers to be more agile and more
flexible, not only with their IT infrastructure needs, but also with their capital and operational
expense.
When you bring all that together, PODs offer customers the ability to deploy fully integrated,
high performing, efficient scalable data centers at somewhere around a quarter of the cost and up
to 95 percent more efficient, all the while doing this 88 percent faster than they can with
traditional brick and mortar data center strategies.
Gardner: Jason, going to you now, pretty much the same question. We have this comprehensive
ability. We have a much more rapid physical plant capability. This now allows for people to
come in at different points in their maturity, but still have a roadmap or vision of how to get to a
converged infrastructure, a transformed data center. What’s the process that you encounter at that
AppSystem level, where people can get involved quickly? What would you recommend that they
do first?
Newton: That depends on the customer. The whole point of the Converged System portfolio is
that if you like the concept of a converged infrastructure and you want to get there, we have a
very simple, flexible, optimized answer for you, for workload, virtual cloud, and dedicated
application environment.
As to where a customer can start, go back and look at what your business priorities are, and your
level of maturity. We've got quite a few experts that will sit down to talk to you and assess where
you are in that continuum. The best place to start is what is your business asking for and what are
the problems that you're trying to solve? What are the outcomes? What can you deliver? That's
the place to go.
11. A reason someone would be looking at apps is because someone in the business is saying, "I
need to make much better decisions much faster." Maybe it's supply chain decisions or it could
be something in retail. Or, "I need to do some better financial analysis or make better offers to
my banking customers. And, I need something much more powerful than just the data that I
have, and we need to do it very quickly."
I would say to look at a Vertica real-time analytic system or a data warehouse solution that we've
co-developed in Microsoft. That would be a perfect place to start. The good news is that if your
next priority, after getting that software in the business, is you get that virtual environment more
cleaned up and running more efficiently, more optimized and simplified in terms of management,
VirtualSystem would be your next step.
If you're already doing a lot of virtualization today with HP on BladeSystem, on 3PAR, or on our
LeftHand technology, I would say to build on that same architecture, keep all that in place, and
upgrade that to a complete CloudSystem environment.
There are a lot of entry points. It really depends on the business priority at what you are trying to
do. The good news of this approach is that you can come in at any point and you can scale and
and extend and know that when you solve those different application needs, you're going to be
doing it in a common way, not sacrificing best of class.
Gardner: We should also point out, Jason, that at Discover here we're seeing a lot of
professional services and support announcements as well that dovetail and supplement these
other announcements. Maybe you could give us a very quick recap of where the professional
services kick in, and perhaps that's also a starting point.
Start services
Newton: You're right. There is a multitude of those at this show. We have some new
professional services. I call them start services. We have an AppStart, a CloudStart, and a
VirtualStart service. These are the services, where we can engage with the customer, sit down,
and assess their level of maturity -- what they have in place, what their goals are.
These services are designed to get each of these systems into the environment, integrated into
what you have, optimized for your goals and your priorities, and get this up and running in days
or weeks, versus months and years that that process would have taken in the past for building and
integrating it. We do that very quickly and simply for the customer.
We have got a lot of expertise in these areas that we've been building on the last 20 years. Just
like we're doing on the hardware-software application side simplifications, these start services do
the same thing. That extends to HP Solutions support, which then kicks in and helps you support
that solution across that lifecycle.
There is a whole lot more, but those are two really key ones that customers are excited about this
week.
12. Gardner: Brad Parks, you've been hearing from Jason and Jon. They supplement and support
what you are doing in storage. But, when it comes to getting started, do you have any
recommendations, whether it's professional services or some sort of a path or model for working
the storage transformation and modernization process into these other larger activities around,
AppSystems and facilities?
Parks: The approach is very consistent across the board. Converged Storage is a foundational
building block that is materialized inside the VirtualSystem, CloudSystem, and AppSystem,
those internal part of that larger converged data center that Jon talked about. Along that way, you
can have different entry points ,and we certainly have a full set of services to help people get
started.
One of the things that we announced this week is the Technology Services Organization. HP
recently did a complete reinvention of their consulting portfolio.
As we've seen customers trying to modernize their storage infrastructure and take advantage of
some of these converged storage trends, they have responded with a set of workshops, start
services, to get people down that path, as well as enterprise services for those customers who are
looking to start to bridge between internal IT and cloud environments that might be hosted
externally. Our HP 3PAR Utility Storage platform is now a standard offering as an outsourced
storage service within enterprise services.
Last, we know that internal IT folks have to upscale and continually learn these new
technologies, so that they can feed those back into their business. HP ExpertONE has recently
come out with a full set of training and certification courseware to help our channel partners, as
well as internal IT folks that are customers, to learn about these new storage elements and to
learn how they can take these architectures and help transform their information management
processes.
Gardner: Let's go to Helen Tang for the last word today. Helen, based on the research that
you’ve conducted and the fact that we have these large trends, some organizations are working
towards cloud-computing models, for example, more rapidly than others. Some organizations
focus just on converting apps and modernizing them, or perhaps adopting appliance models.
What is it about the research and the fact that there are so many different ways the organizations
need to react rather to these trends that makes sort of the über view of what's been announced
this week such a good fit?
Tang: Clearly, ever since HP launched our Converged Infrastructure strategy and portfolio in
2009, we’ve seen great traction among the analyst community, and more importantly, our
customers. We’ve helped over 1,000 customers on different stages of this journey, taking their
existing data center environments and transforming them, so they can embrace convergence and
be able to maximize the enterprise agility that we talked about earlier.
13. This set of announcements that we’re talking about in the show this week, and hopefully, for the
remainder of this year, are significant additions in each of their own markets, having the potential
to transform, for example, storage, shaking up an industry that’s been pretty static for the last 20
years by offering completely new architecture design for the world we live in today.
That’s the kind of innovation we’ll drive across the board with our customers and everybody that
talked before me has talked about the service offering that we also bring along with these new
product announcements. I think that’s key. The combination of our portfolio and our expertise is
really going to help our customers drive that success and embrace convergence.
Gardner: Very good. You’ve been listening to a sponsored podcast discussion in conjunction
with the HP Discover 2011 Conference on some major news around Converged Infrastructure
and data center transformation. There is lots more information available through the various
landing pages, and press reports on these events this week.
I’d like to thank our guests for adding some more context, depth, and analysis. We’ve been
joined by Helen Tang, Solutions Lead for Data Center Transformation and Converged
Infrastructure Solutions. We’ve also been joined by Jon Mormile, Worldwide Product Marketing
Manager for Performance-Optimized Data Centers And, Jason Newton, Manager of
Announcements and Events for HP ESSN, and as well as Brad Parks, Converged Infrastructure
Strategist for HP Storage. Thanks to you all.
This is Dana Gardner, Principal Analyst at Interarbor Solutions. Thanks also to our listeners, and
come back next time.
Listen to the podcast. Find it on iTunes/iPod and Podcast.com. Download the transcript. Sponsor:
HP
Transcript of a sponsored podcast discussion from HP Discover 2011 in Las Vegas on How HP's
converged strategy is designed to meet the challenges facing IT today. Copyright Interarbor
Solutions, LLC, 2005-2011. All rights reserved.
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