Heidi Fraser-Krauss, Director of IT at the University of York explores some of the issues she encountered in trying to understand the true costs of the central IT provision at the university
A presentation by James Nicholas of Tigunia to the Dynamics 365 Business Central / Dynamics NAV User Group meeting in Colorado during Q1 2019 on Demystifying the Cloud.
Heidi Fraser-Krauss, Director of IT at the University of York explores some of the issues she encountered in trying to understand the true costs of the central IT provision at the university
A presentation by James Nicholas of Tigunia to the Dynamics 365 Business Central / Dynamics NAV User Group meeting in Colorado during Q1 2019 on Demystifying the Cloud.
User's data and desk top can share between Windows XP, Windows Vista and Windows 7.
No need migration when start to use new PC with any version of Widows.
Data Center Infrastructure Management (DCIM) solutions are combining best practices from facilities & IT, and are simplifying capacity management, increasing availability, and extending the life of existing data centers. But to experience these benefits, you need to choose the solution that best fits your data center. Join Viridity Software co-founder and CTO, Mike Rowan, as he discusses how DCIM software helps you manage your data center more efficiently. This webinar will include a quick demonstration of Viridity EnergyCenter and will be open to your questions.
A deck on Data Center challenges and how DCIM Software can help to overcome them. It also shows the origin of DCIM over the various Traditional Data Center monitoring tools and methods.
This presentation shows that Data Center Infrastructure Management (DCIM) Software to a Data Center Manager is what ERP software is to a VP - Manufacturing. This is the 2nd presentation from a series of 3-part series from GreenField Software on the subject: DCIM for High Availability.
DCIM Software charts out the relationship maps for assets by identifying various dependencies among them. Threshold-based alerts on critical parameters, combined with impact analysis of Move-Add-Change, mitigates risks of DC failures.
GreenField Software’s Mission is to help Data Centers control capital expenditures reduce operating expenses and mitigate the risks of Data Center failures. Besides DCIM Software, GFS offers Data Center Advisory Services in the areas of best practices, capacity planning, energy efficiency and business continuity of data centers.
Practical Considerations for Implementing Prefabricated Data CentersSchneider Electric
Implementing prefabricated modular data centers results in well understood benefits including speed of deployment, predictability, scalability, and lifecycle cost. The process of deploying them – from designing the data center, to preparing the site, to procuring the equipment to installation the equipment, to installation – is quite different than that of a traditional data center. This paper presents practical considerations, guidance, and results that a data center manager should expect from such a deployment
The Trellis DCIM (Data Center Infrastructure Managment) Solution is a Dynamic infrastructure optimization Platform. It's the first holistic DCIM platform of hardware, software and services to bridge the critical gap between IT equipment and data center physical infrastructure.
Trellis ensures Availability, Efficiency, Agility for the modern Data Center Infrastructure.
A breakdown of data center tier standards based on the Uptime Institute data center tier ratings. Find out which data center will be the right fit for your business. Whether you're a small, medium, or enterprise level business, understanding data center tiers will better prepare you to make the right hosting decision.
A brief presentation that explains the origin of Data Center Infrastructure Management (DCIM) Software and its role in Data Center operations. With example of a DCIM Software's functional capabilities, the presentation highlights the business benefits and value it brings to an enterprise. The presentation concludes with Case Study of a DCIM Software deployment in a leading financial services enterprise in India.
Cloud Modeling vs Internal vs Global Market using Burstorm PlatformScott Goessling
Designing using Cloud and Infrastructure services can be very challenging. It is a big and complex market that moves very fast and changes every day. Are you getting ahead of falling behind?
User's data and desk top can share between Windows XP, Windows Vista and Windows 7.
No need migration when start to use new PC with any version of Widows.
Data Center Infrastructure Management (DCIM) solutions are combining best practices from facilities & IT, and are simplifying capacity management, increasing availability, and extending the life of existing data centers. But to experience these benefits, you need to choose the solution that best fits your data center. Join Viridity Software co-founder and CTO, Mike Rowan, as he discusses how DCIM software helps you manage your data center more efficiently. This webinar will include a quick demonstration of Viridity EnergyCenter and will be open to your questions.
A deck on Data Center challenges and how DCIM Software can help to overcome them. It also shows the origin of DCIM over the various Traditional Data Center monitoring tools and methods.
This presentation shows that Data Center Infrastructure Management (DCIM) Software to a Data Center Manager is what ERP software is to a VP - Manufacturing. This is the 2nd presentation from a series of 3-part series from GreenField Software on the subject: DCIM for High Availability.
DCIM Software charts out the relationship maps for assets by identifying various dependencies among them. Threshold-based alerts on critical parameters, combined with impact analysis of Move-Add-Change, mitigates risks of DC failures.
GreenField Software’s Mission is to help Data Centers control capital expenditures reduce operating expenses and mitigate the risks of Data Center failures. Besides DCIM Software, GFS offers Data Center Advisory Services in the areas of best practices, capacity planning, energy efficiency and business continuity of data centers.
Practical Considerations for Implementing Prefabricated Data CentersSchneider Electric
Implementing prefabricated modular data centers results in well understood benefits including speed of deployment, predictability, scalability, and lifecycle cost. The process of deploying them – from designing the data center, to preparing the site, to procuring the equipment to installation the equipment, to installation – is quite different than that of a traditional data center. This paper presents practical considerations, guidance, and results that a data center manager should expect from such a deployment
The Trellis DCIM (Data Center Infrastructure Managment) Solution is a Dynamic infrastructure optimization Platform. It's the first holistic DCIM platform of hardware, software and services to bridge the critical gap between IT equipment and data center physical infrastructure.
Trellis ensures Availability, Efficiency, Agility for the modern Data Center Infrastructure.
A breakdown of data center tier standards based on the Uptime Institute data center tier ratings. Find out which data center will be the right fit for your business. Whether you're a small, medium, or enterprise level business, understanding data center tiers will better prepare you to make the right hosting decision.
A brief presentation that explains the origin of Data Center Infrastructure Management (DCIM) Software and its role in Data Center operations. With example of a DCIM Software's functional capabilities, the presentation highlights the business benefits and value it brings to an enterprise. The presentation concludes with Case Study of a DCIM Software deployment in a leading financial services enterprise in India.
Cloud Modeling vs Internal vs Global Market using Burstorm PlatformScott Goessling
Designing using Cloud and Infrastructure services can be very challenging. It is a big and complex market that moves very fast and changes every day. Are you getting ahead of falling behind?
Operational systems manage our finances, shopping, devices and much more. Adding real-time analytics to these systems enables them to instantly respond to changing conditions and provide immediate, targeted feedback. This use of analytics is called "operational intelligence," and the need for it is widespread.
This talk will explain how in-memory computing techniques can be used to implement operational intelligence. It will show how an in-memory data grid integrated with a data-parallel compute engine can track events generated by a live system, analyze them in real time, and create alerts that help steer the system’s behavior. Code samples will demonstrate how an in-memory data grid employs object-oriented techniques to simplify the correlation and analysis of incoming events by maintaining an in-memory model of a live system.
The talk also will examine simplifications offered by this approach over directly analyzing incoming event streams from a live system using complex event processing or Storm. Lastly, it will explain key requirements of the in-memory computing platform for operational intelligence, in particular real-time updating of individual objects and high availability using data replication, and contrast these requirements to the design goals for stream processing in Spark.
A presentation deck that highlights the features of Informix v11.70 release. The release had made lots of noise in the area of High Availability Cluster, Performance, OLTP Characteristics, etc. Get to know more about it.
Embeddedsystem basic for Engineering StudentsElectro 8
Electro8 Is a Leading Embedded System Development Company in Chennai,We Offering Final Year Embedded and Matlab projects,We are the Vendor of Godraj and Spoorthi,Global ad ,Micron solution
Summary
Background
Information Technology Systems
Environmental Conditions
Air Management
Cooling Systems
Electrical Systems
Other Opportunities for Energy Efficient Design
Data Center Metrics & Benchmarking
• Janet Cloud Services frameworks
• Knowing IT costs to make informed decisions
• The outputs you will receive
• Benchmarking with peers
• How Janet works with you
• Our charges
• Modelling costs of cloud vs in-house
• Questions & discussion
• Electricity Incentivisation Scheme (EIS) at the University of Cambridge
• Design of Engineering’s Data Centre cooling system
• Energy use from 2010 onwards
• Next steps
What does central IT really cost? An attempt to find out! - Heidi Fraser-Krau...JISC's Green ICT Programme
• To understand where money is spent.
• To be able to compare our costs with those of other providers- cloud.....
• To be able to price services that we offer to others.
• Curiosity!
• To have evidence to argue for more resource.
• To understand central vs. local provision costs.
The Welsh Video Network: Supporting Video Conferencing in Welsh Education: Us...JISC's Green ICT Programme
Geoff Constable of the Welsh Video Network and the University of Aberystwyth describes the work of the WVN, and the experiences of users of the service
Jonathan Owen, Audi Visual Service at the University of Warwick describes the way that the university has improved the range of of the service it offers and greatly improved uptake, use and user satisfaction
Heppie Curtis, researcher on the JISC funded Greening Events II project at the University of Bristol describes the findings of the first part of the project
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
Leading Change strategies and insights for effective change management pdf 1.pdf
Data Centre Compute and Overhead Costs - Delivering End-to-end KPIs
1. Data Centre Compute and Overhead Costs
Delivering End-to-end KPIs
Michael Rudgyard (CTO)
Concurrent Thinking Ltd
2. Our Background
•
Background in High Performance Computing & Scale-out Computing
– Gives us a unique perspective on DCIM
•
Founded Concurrent Thinking in 2010
–
–
–
–
Focussed on tools for operational efficiency in the Data Centre
Exploit an existing & mature product that was originally developed for HPC
Investment from Carbon Trust Investments
Launched new products at DatacenterDynamics, Nov 2011
3. Bridging the Divides – Facilities, IT & Management
It‟s all about
virtualization
It‟s all about
procurement
What constitutes an efficient data centre ??
It‟s about staff
efficiency
It’s all about
cooling
4. What we do…
Data Centre Infrastructure Management
•
Continuous monitoring & active management of IT & Facilities systems
–
–
–
–
–
–
Building management systems
Environmental systems (temperature, humidity, air-conditioning..)
Power (at the distribution board, rack PDU and server PSU level …)
IT equipment (including server health)
Operating systems & Virtual Machines
Application Performance
• We leverage standards-based protocols
– OPC, Modbus, 1-wire, SNMP, IPMI, Intel Node Manager, WMI
• …and offer monitoring agents and extensible means to monitor
non-standard M&E equipment
5. Why Data Centre Infrastructure Management ?
•
Aims
–
–
–
–
–
•
To truly understand where operational savings can be made
To understand how factors vary over time / with load etc
To give ample warning of potential (often critical) issues
To report factual information to management
To drive continuous iterative improvement over time
Real energy and productivity savings require a „joined-up‟ approach
– Managing buildings, data-centre facilities and IT in a unified manner
– .. opening the door to the possibility of orchestration of the data-centre
6. Our Approach
• We provide a tool that:
–
–
–
–
–
–
Tracks power to the server/network (and OS/VM/application) level
Allows for reporting by department, customer or end-user
Offers a simple interface to present data for different purposes
Has integrated IT asset management
Generates business intelligence on end-to-end service delivery
Is both user-extensible and built to scale (visually & architecturally)
7. What are the important data centre metrics ?
•
We don‟t push particular metrics (eg. PUE, ITUE, ITEE, FVER..)
•
DCIM is a tool that should enable a customer to define his own KPIs
Compute
Utilisation
Effectiveness
1
0.8
0.6
0.4
0.2
0
Network
Utilisation
Effectiveness
Storage
Utilisation
Effectiveness
8. Example 1 – OS performance monitoring
•
Potential performance metrics:
– CPU utilisation (* CPU benchmark) per watt
– IOPS per watt
– Bytes per watt
• To produce these metrics we monitor:
–
–
–
–
OS metrics via SNMP (Linux/MS) or WMI (MS)
Server power usage (via a managed PDU or IPMI)
(CPU benchmark figure)
Power overhead for cooling and power
distribution etc (and apportion this for this
server)
– Power cost (at different times)
9. Example 2– Microsoft Exchange
•
For a typical MS Exchange service, the most useful metrics might be:
– Power usage per email (OPEX only)
– Cost per email (OPEX or OPEX + CAPEX)
– CO2 per Email
• WMI now provides the necessary application
performance metrics
– The number of email transactions
– Server power usage (as above)
– Power overhead for cooling and power distribution etc.
(as above)
– Power Cost (as above)
– Asset depreciation model
10. Example 3 – Linux MySQL Server
•
For a web service, the most useful metric might be:
– Power per database query
– Cost per database query
– CO2 per database query
• SNMP now provides the application
performance information
11. Example 4 – Linux Apache Web Server
•
For a web service, the most useful metric might be:
– Power per HTML query
– Cost per HTML query
– CO2 per HTML query
• Unfortunately, SNMP support for Apache is poor
– Best option was to install the Apache „status module‟
– Read the number of web transactions from the
status module web page
12. Application performance on virtual machines
• Assume a single application per virtual machine
• Issue now is: what is the power used by a virtual machine ?
• Our solution: „inferred metrics‟
– Use another metric (eg. CPU utilisation) as a proxy for power usage
– Attribute the power used by a server to individual VMs
13. Using this information (1)
• Which servers are underused/inefficient/should be virtualised ?
• Which servers are better at delivering a particular service ?
– Provides useful procurement information !
– (or which application gives better performance on the same hardware ?)
• When should I retire old servers ?
– Sweating IT assets is often a very bad idea indeed !
14. Using this information (2)
• Which departments are using their IT resources wisely ?
– Define server groups and report by department
• Charge departments for individual power usage
15. Conclusions and open questions
• It is straightforward to monitor many KPIs for a data centre
–
–
–
–
From PUE, to ITUE and “application utilisation efficiency”
Requires a proper monitoring & reporting tool, with inbuilt asset management
Requires power monitoring hardware (managed PDUs or modern servers)
Requires suitable configuration (relatively easy for small numbers of apps)
• It is straightforward to apportion costs by racks, servers and by
department (if application servers are not shared)
• The ROI can be very significant
• Can we monitor granular information by user at the app level ?
– On going collaborations with University of Hertfordshire and Surrey University
– Collaboration on HPC with HPC Wales and STFC Daresbury