We're hosting this event again on March 9, 2012! Register today at http://visi.com/resources/events/data-center-decisions-build-versus-buy.aspx
The discussion will focus on the capacity, assessing growth, consolidation, risk and benefits related to operating your own data center or colocating your equipment with a data center facility. The conversation will focus on the most effective and efficient ways to understand and determine your future Data Center strategic 'Road Map'.
Excipio will discuss some of the real life challenges and solutions such as:
• How do we determine our future Data Center Strategy?
• We always seem to be running out of power or cooling in our Data Center? Is this common?
• Are there advantages to making a long-term commitment to build a Data Center, or would we be better off utilizing a current hosted facility to meet our needs?
• How do I know when we are going to run out of Data Center capacity?
• What are the issues with consolidating servers, storage and other equipment; do I risk cooling and power capacity issues?
Determining your data center strategy is critical in this expanding world of big data, cloud and mobility. Should you build your own data center, consider a wholesale arrangement, colocate with another carrier or transfer your critical information to the cloud? Or, does some combination of these options best suit your needs? Where do you even begin when planning these large enterprise decisions?
Join Randy Ortiz, VP of Data Center Design and Engineering, from Internap as he breaks down the steps you need to take to achieve a successful outcome for your data center initiatives.
Key topics include:
*Important decision-making considerations
*Why flexibility matters
*Top trends to watch today
The document provides a five-step process for planning a new data center: 1) Determine design parameters like capacity, budget, growth plan, etc. 2) Develop a system concept by selecting a reference design. 3) Determine user requirements like preferences and constraints. 4) Generate a specification. 5) Generate a construction design. It emphasizes involving the right stakeholders, communicating at the right level of abstraction, and avoiding common mistakes like poor budgeting or an IT-focused rather than business-focused design. Following the standardized process can help complete projects on time and on budget by eliminating potential pitfalls.
Project Report On Data Center ManagementDipak Bora
This document discusses implementing and managing a data center for Topcem Cement Ltd. It aims to centralize IT infrastructure and management to reduce downtime and improve efficiency. Currently, IT assets are spread across multiple locations, making management difficult. The objectives are to study current IT workflows, identify issues, and see improved business growth after centralizing systems in a new data center. The research examines Topcem's IT processes through questionnaires, discussions with staff, and reviews of secondary sources. The data center implementation aims to enhance security, visibility, and remote management capabilities while reducing physical site access and system downtime.
What Does It Cost to Build a Data Center? (SlideShare)SP Home Run Inc.
http://DataCenterLeadGen.com
What Does It Cost to Build a Data Center? (SlideShare).
The “build a data center” decision is not to be taken lightly. Consider these different cost factors to see if a build or lease is better.
Copyright (C) SP Home Run Inc. All worldwide rights reserved.
This document provides an overview of the design and methodology for an enterprise data center. It discusses foundational philosophies of data center design including keeping the design simple, flexible, scalable, and modular. It also outlines ten key data center design guidelines. The document then covers various aspects of data center design such as determining project scope and budget, criteria, structural layout, support systems, security, and planning for expansion.
This document provides an overview of data center design and infrastructure. It discusses the history and evolution of data centers from large computer rooms in early computing to modern facilities. Key aspects covered include facilities layout, mechanical and electrical systems for power, cooling, fire protection and more. Modern data center design principles emphasize modularity, scalability, efficiency and resiliency. The document also examines data center infrastructure management tools and the use of modular or containerized data center solutions.
Determining your data center strategy is critical in this expanding world of big data, cloud and mobility. Should you build your own data center, consider a wholesale arrangement, colocate with another carrier or transfer your critical information to the cloud? Or, does some combination of these options best suit your needs? Where do you even begin when planning these large enterprise decisions?
Join Randy Ortiz, VP of Data Center Design and Engineering, from Internap as he breaks down the steps you need to take to achieve a successful outcome for your data center initiatives.
Key topics include:
*Important decision-making considerations
*Why flexibility matters
*Top trends to watch today
The document provides a five-step process for planning a new data center: 1) Determine design parameters like capacity, budget, growth plan, etc. 2) Develop a system concept by selecting a reference design. 3) Determine user requirements like preferences and constraints. 4) Generate a specification. 5) Generate a construction design. It emphasizes involving the right stakeholders, communicating at the right level of abstraction, and avoiding common mistakes like poor budgeting or an IT-focused rather than business-focused design. Following the standardized process can help complete projects on time and on budget by eliminating potential pitfalls.
Project Report On Data Center ManagementDipak Bora
This document discusses implementing and managing a data center for Topcem Cement Ltd. It aims to centralize IT infrastructure and management to reduce downtime and improve efficiency. Currently, IT assets are spread across multiple locations, making management difficult. The objectives are to study current IT workflows, identify issues, and see improved business growth after centralizing systems in a new data center. The research examines Topcem's IT processes through questionnaires, discussions with staff, and reviews of secondary sources. The data center implementation aims to enhance security, visibility, and remote management capabilities while reducing physical site access and system downtime.
What Does It Cost to Build a Data Center? (SlideShare)SP Home Run Inc.
http://DataCenterLeadGen.com
What Does It Cost to Build a Data Center? (SlideShare).
The “build a data center” decision is not to be taken lightly. Consider these different cost factors to see if a build or lease is better.
Copyright (C) SP Home Run Inc. All worldwide rights reserved.
This document provides an overview of the design and methodology for an enterprise data center. It discusses foundational philosophies of data center design including keeping the design simple, flexible, scalable, and modular. It also outlines ten key data center design guidelines. The document then covers various aspects of data center design such as determining project scope and budget, criteria, structural layout, support systems, security, and planning for expansion.
This document provides an overview of data center design and infrastructure. It discusses the history and evolution of data centers from large computer rooms in early computing to modern facilities. Key aspects covered include facilities layout, mechanical and electrical systems for power, cooling, fire protection and more. Modern data center design principles emphasize modularity, scalability, efficiency and resiliency. The document also examines data center infrastructure management tools and the use of modular or containerized data center solutions.
Data center design standards for cabinet and floor loadingkotatsu
This document discusses data center design standards for cabinet and floor loading. It notes that modern data center equipment cabinets can weigh 2,500-3,000 pounds due to increased hardware density, posing challenges for building floors not designed to support such weight. To address this, data center designers must either strengthen floors, spread the load over more floor area using methods like raised floors or dunnage, or space cabinets farther apart to avoid overloading floors which could cause sagging or collapse and disrupt the data center. Proper consideration of increased equipment weight is important for data center design.
CERTIFIED Data Center Professional - CDCPAPEXMarCom
The document provides information about a 2-day Certified Data Center Professional (CDCP) course on managing mission critical data center facilities. The course aims to teach participants best practices for designing, maintaining, and operating data centers with high availability and efficiency. It will cover key components of data centers like power, cooling, security, and cabling and how to set them up and improve them. The course also addresses operations and maintenance aspects. The target audience includes IT professionals, facilities professionals, and operations professionals. The benefits of the course include learning how to identify the best site for a data center, understand components for high availability, and apply industry standards to improve efficiency, security, and maintenance.
This document provides an overview of data center design standards, specifically the TIA-942 standard. It describes what a data center is and why standards are important for comparison. It then explains the TIA-942 standard in depth, covering the 20 areas it addresses, its tier classification system, and how it compares to the Uptime Institute standard. The tiers represent levels of redundancy, with higher tiers equating to greater availability. The document concludes by discussing how to determine a data center's criticality level and tier requirements.
This Slide's will help those guys who are looking for to study the Data Center Design . In these Slide's, you can understand the concept of raised floor, importance of raised floor, why raised floor is needed in a Data Center, and many more concepts ..
Hope it will gave you the good understanding to related topic.
Multi tiered hybrid data center designMehmet Cetin
This document discusses a multi-tiered hybrid data center design that allows for modular and flexible infrastructure. It proposes designing the data center with separate tiered sections (Tier II, III, IV) that can each be scaled independently as needed. This approach provides a more cost effective and energy efficient solution than a single-tiered design, allows the data center to meet varying operational needs simultaneously, and facilitates future-proofing and scalability as demands change over time.
Datacenter 101 provides an overview of key concepts related to data centers including:
1) Data centers are facilities used to house large amounts of electronic equipment like computers and communication hardware.
2) Reasons for data center consolidation include safety during disasters and efficient data storage and hardware virtualization.
3) Physical infrastructure of data centers includes thick walls, HVAC, racks, UPS/generators, and security cameras. Network infrastructure consists of routers, switches, firewalls, peering, bandwidth, and carrier services.
Attom Micro Modular Data Center is a plug and play, fully integrated solution with built in cabinet, power, cooling, monitoring fire and security systems.
Simplifying your IT system with this pre-manufactured, self-contained and readily scalable data center infrastructure solution.
Ideal for edge computing applications to reduce latency, improve cyber-safety, and save network cost.
Design once and deploy anywhere.
Here are the key points of a collapsed multitier design:
- All server farms are directly connected without physical separation between Layer 2 switches. This reduces hardware costs.
- Services like load balancing, firewalling, etc. are concentrated at the aggregation layer rather than being distributed between tiers.
- Less hardware is required compared to an expanded design as there is no need for separate switches and devices at each tier.
- However, it provides less control and scalability compared to an expanded design as tiers are not physically isolated. For example, if one tier needs to be scaled out, it affects the other tiers.
- Security may also be weaker as there is no firewall segmentation between tiers.
Myths and realities about designing high availability data centersMorrison Hershfield
This presentation offers definitions of tiers, a discussion on nines, diagrams of Tier III and IV issues, factors affecting performance, reliability and availability, causes of critical failures and key takeaways.
Best Practices for Creating Your Smart Grid Network ModelSchneider Electric
A real-time model of their distribution network enables
utilities to implement Smart Grid strategies such as
managing demand and integrating renewable energy
sources. They build this model in an Advanced
Distribution Management System (ADMS) based on
accurate and up-to-date information of the distribution
network infrastructure. Yet, a recent survey shows that
less than 5% of utilities are confident about the quality
of the network data. This paper discusses best practices
for ensuring complete, correct, and current data for a
Smart Grid network model.
Schneider Electric provides a comprehensive approach to cyber security for critical infrastructure. They recognize cyber attacks have expanded from disrupting IT systems to endangering physical assets and human life. The document outlines Schneider's investments in security technologies and services to protect customers across industries. It describes their defense-in-depth strategy including secure product design, testing, compliance with standards, and security services to monitor, detect, and respond to threats. The goal is to help customers comply with regulations and mitigate risks through an integrated portfolio.
Data center power availability provisioningLivin Jose
Data center power availability provisioning, Power provision - Concurrently maintainable, Power provision - Fault tolerant, Power provision - Single Path, Power provision - Single path with resilience
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.
ScottMadden has developed an approach for analyzing data center requirements and driving improvements in existing data center retrofits. Our approach takes into account the technological requirements, the physical attributes of a data center, and the requirements for a rigorous measurement and verification program needed to ensure improvements actually capture the energy efficiently gains and the resultant greenhouse gas reductions.
Our approach addresses the latest trends in data center management such as virtualization and cloud computing and provide a framework for developing metrics needed to drive changes in data center performance.
Data centers today lack a formal system for classifying infrastructure management tools. As a result, confusion exists regarding which management systems are necessary and which are optional for secure and
efficient data center operation. This paper divides the realm of data center management tools into four distinct subsets and compares the primary and secondary functions of key subsystems within these subsets. With a classification system in place, data center professionals can begin to determine which physical infrastructure management tools they need – and don’t need – to operate their data centers.
Data-center SDN is located in St.Petersburg, Russia. It is one of the largest and most modern data-centers in the North-West of Russia, constructed and operated in accordance with the Uptime Institute TIER III level recommendations. PCI DSS certified.
St.Petersburg – is one of the main gateways of IP connectivity between Russian and Europe. Data-center SDN can provide you the best connectivity with the largest Russian telecom operators (Beeline, Megafon, MTS) as well as with the international operators Orange and RETN. The data-center has direct interconnections with all the main St.Petersburg and Moscow internet exchange points.
Ownership of land ground area 7,5 acre
The design capacity of the data-center – 1437 racks 42-48U
Administrative building – 1500 sq m
Utility power supply 10 MW with increase option up to 14 МW (2 feeders 10 kV). High voltage distribution station 10 kV
Up to 8 diesel-rotary UPS, 1600 кVА each
Load per a rack – up to 40 KW
Total cooling capacity - 8,4 MW
Fuel storage 2 х 50 м3
5 sequrity perimeters
Estimated power usage effectiveness (PUE) = 1,03 – 1,2
The document provides information about a server room project being undertaken by group members Shivani, Balateja, Ranadheer, and Iftekhar. It discusses common elements of a server room including hardware, racks, cabling systems, power, UPS, and operations. It also covers server room design essentials such as infrastructure, physical security, fire protection, and environment control. The importance of a server room is highlighted for on-site investment, security, visibility, latency, and bespoke builds. Server racks, types of server racks, and maintenance types are also summarized.
Power Strategies for Data Center Efficiency – Identifying Cost Reduction Opportunities
In a survey conducted by the Uptime Institute, enterprise data center managers responded that 42% of them expected to run out of power capacity within 12-24 months and another 23% claimed that they would run out of power capacity in 24-60 months. Greater attention to energy efficiency and consumption is critical.
To view the recorded webinar presentation, please visit http://www.42u.com/power-strategies-webinar.htm
This document provides guidance on developing a co-location strategy for an organization's data center. It discusses factors for success in co-location including conducting requirements gathering, cost comparisons, server profiling, establishing criteria, and using a formal RFP process. Organizational size and level of service do not determine success. Successful co-location requires at least 3 months of planning and due diligence.
Data center design standards for cabinet and floor loadingkotatsu
This document discusses data center design standards for cabinet and floor loading. It notes that modern data center equipment cabinets can weigh 2,500-3,000 pounds due to increased hardware density, posing challenges for building floors not designed to support such weight. To address this, data center designers must either strengthen floors, spread the load over more floor area using methods like raised floors or dunnage, or space cabinets farther apart to avoid overloading floors which could cause sagging or collapse and disrupt the data center. Proper consideration of increased equipment weight is important for data center design.
CERTIFIED Data Center Professional - CDCPAPEXMarCom
The document provides information about a 2-day Certified Data Center Professional (CDCP) course on managing mission critical data center facilities. The course aims to teach participants best practices for designing, maintaining, and operating data centers with high availability and efficiency. It will cover key components of data centers like power, cooling, security, and cabling and how to set them up and improve them. The course also addresses operations and maintenance aspects. The target audience includes IT professionals, facilities professionals, and operations professionals. The benefits of the course include learning how to identify the best site for a data center, understand components for high availability, and apply industry standards to improve efficiency, security, and maintenance.
This document provides an overview of data center design standards, specifically the TIA-942 standard. It describes what a data center is and why standards are important for comparison. It then explains the TIA-942 standard in depth, covering the 20 areas it addresses, its tier classification system, and how it compares to the Uptime Institute standard. The tiers represent levels of redundancy, with higher tiers equating to greater availability. The document concludes by discussing how to determine a data center's criticality level and tier requirements.
This Slide's will help those guys who are looking for to study the Data Center Design . In these Slide's, you can understand the concept of raised floor, importance of raised floor, why raised floor is needed in a Data Center, and many more concepts ..
Hope it will gave you the good understanding to related topic.
Multi tiered hybrid data center designMehmet Cetin
This document discusses a multi-tiered hybrid data center design that allows for modular and flexible infrastructure. It proposes designing the data center with separate tiered sections (Tier II, III, IV) that can each be scaled independently as needed. This approach provides a more cost effective and energy efficient solution than a single-tiered design, allows the data center to meet varying operational needs simultaneously, and facilitates future-proofing and scalability as demands change over time.
Datacenter 101 provides an overview of key concepts related to data centers including:
1) Data centers are facilities used to house large amounts of electronic equipment like computers and communication hardware.
2) Reasons for data center consolidation include safety during disasters and efficient data storage and hardware virtualization.
3) Physical infrastructure of data centers includes thick walls, HVAC, racks, UPS/generators, and security cameras. Network infrastructure consists of routers, switches, firewalls, peering, bandwidth, and carrier services.
Attom Micro Modular Data Center is a plug and play, fully integrated solution with built in cabinet, power, cooling, monitoring fire and security systems.
Simplifying your IT system with this pre-manufactured, self-contained and readily scalable data center infrastructure solution.
Ideal for edge computing applications to reduce latency, improve cyber-safety, and save network cost.
Design once and deploy anywhere.
Here are the key points of a collapsed multitier design:
- All server farms are directly connected without physical separation between Layer 2 switches. This reduces hardware costs.
- Services like load balancing, firewalling, etc. are concentrated at the aggregation layer rather than being distributed between tiers.
- Less hardware is required compared to an expanded design as there is no need for separate switches and devices at each tier.
- However, it provides less control and scalability compared to an expanded design as tiers are not physically isolated. For example, if one tier needs to be scaled out, it affects the other tiers.
- Security may also be weaker as there is no firewall segmentation between tiers.
Myths and realities about designing high availability data centersMorrison Hershfield
This presentation offers definitions of tiers, a discussion on nines, diagrams of Tier III and IV issues, factors affecting performance, reliability and availability, causes of critical failures and key takeaways.
Best Practices for Creating Your Smart Grid Network ModelSchneider Electric
A real-time model of their distribution network enables
utilities to implement Smart Grid strategies such as
managing demand and integrating renewable energy
sources. They build this model in an Advanced
Distribution Management System (ADMS) based on
accurate and up-to-date information of the distribution
network infrastructure. Yet, a recent survey shows that
less than 5% of utilities are confident about the quality
of the network data. This paper discusses best practices
for ensuring complete, correct, and current data for a
Smart Grid network model.
Schneider Electric provides a comprehensive approach to cyber security for critical infrastructure. They recognize cyber attacks have expanded from disrupting IT systems to endangering physical assets and human life. The document outlines Schneider's investments in security technologies and services to protect customers across industries. It describes their defense-in-depth strategy including secure product design, testing, compliance with standards, and security services to monitor, detect, and respond to threats. The goal is to help customers comply with regulations and mitigate risks through an integrated portfolio.
Data center power availability provisioningLivin Jose
Data center power availability provisioning, Power provision - Concurrently maintainable, Power provision - Fault tolerant, Power provision - Single Path, Power provision - Single path with resilience
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.
ScottMadden has developed an approach for analyzing data center requirements and driving improvements in existing data center retrofits. Our approach takes into account the technological requirements, the physical attributes of a data center, and the requirements for a rigorous measurement and verification program needed to ensure improvements actually capture the energy efficiently gains and the resultant greenhouse gas reductions.
Our approach addresses the latest trends in data center management such as virtualization and cloud computing and provide a framework for developing metrics needed to drive changes in data center performance.
Data centers today lack a formal system for classifying infrastructure management tools. As a result, confusion exists regarding which management systems are necessary and which are optional for secure and
efficient data center operation. This paper divides the realm of data center management tools into four distinct subsets and compares the primary and secondary functions of key subsystems within these subsets. With a classification system in place, data center professionals can begin to determine which physical infrastructure management tools they need – and don’t need – to operate their data centers.
Data-center SDN is located in St.Petersburg, Russia. It is one of the largest and most modern data-centers in the North-West of Russia, constructed and operated in accordance with the Uptime Institute TIER III level recommendations. PCI DSS certified.
St.Petersburg – is one of the main gateways of IP connectivity between Russian and Europe. Data-center SDN can provide you the best connectivity with the largest Russian telecom operators (Beeline, Megafon, MTS) as well as with the international operators Orange and RETN. The data-center has direct interconnections with all the main St.Petersburg and Moscow internet exchange points.
Ownership of land ground area 7,5 acre
The design capacity of the data-center – 1437 racks 42-48U
Administrative building – 1500 sq m
Utility power supply 10 MW with increase option up to 14 МW (2 feeders 10 kV). High voltage distribution station 10 kV
Up to 8 diesel-rotary UPS, 1600 кVА each
Load per a rack – up to 40 KW
Total cooling capacity - 8,4 MW
Fuel storage 2 х 50 м3
5 sequrity perimeters
Estimated power usage effectiveness (PUE) = 1,03 – 1,2
The document provides information about a server room project being undertaken by group members Shivani, Balateja, Ranadheer, and Iftekhar. It discusses common elements of a server room including hardware, racks, cabling systems, power, UPS, and operations. It also covers server room design essentials such as infrastructure, physical security, fire protection, and environment control. The importance of a server room is highlighted for on-site investment, security, visibility, latency, and bespoke builds. Server racks, types of server racks, and maintenance types are also summarized.
Power Strategies for Data Center Efficiency – Identifying Cost Reduction Opportunities
In a survey conducted by the Uptime Institute, enterprise data center managers responded that 42% of them expected to run out of power capacity within 12-24 months and another 23% claimed that they would run out of power capacity in 24-60 months. Greater attention to energy efficiency and consumption is critical.
To view the recorded webinar presentation, please visit http://www.42u.com/power-strategies-webinar.htm
This document provides guidance on developing a co-location strategy for an organization's data center. It discusses factors for success in co-location including conducting requirements gathering, cost comparisons, server profiling, establishing criteria, and using a formal RFP process. Organizational size and level of service do not determine success. Successful co-location requires at least 3 months of planning and due diligence.
We explore some of the top benefits of data center colocation, and why it is a very big deal for your business. If your current data center is becoming too costly, is running low on expandable space, or lacks redundancy, then colocation is a very good option to consider.
Some of the benefits include:
-Higher redundancy levels
-CAPEX savings
-Better scalability and room to grow
If colocation is something you are beginning to consider for your business, we encourage you to read through this presentation to learn more! It's definitely one of the most worthwhile business decisions you can make.
Data Center Decisions: Build Versus BuyVISIHOSTING
The document discusses strategies for data center decisions around building versus buying data center capacity. It covers trends in decreasing data center sizes and power needs due to virtualization and server consolidation. It also emphasizes the importance of flexibility in data center design given the fast pace of technological changes. The document advocates evaluating both operational needs and facilities capabilities when establishing a data center strategy.
Trying to decide whether to build or buy an omni-channel commerce solution?
This 28-slide deck makes a clear, succinct argument for buying. It also demonstrates EPAM’s market knowledge and experience in providing smart, effective solutions that offer exceptional value. Includes a specific recommendation for Hybris.
One word that you often see associated with any data center is its “tier,” or its level of service. Virtually every data center has a tier ranking of I, II, III, or IV, and this ranking serves as a symbol for everything it has to offer: its physical infrastructure, its cooling, power infrastructure, redundancy levels, and promised uptime.
This presentation takes a look at each of the 4 data center tiers, examining the key components for each tier, as well the total expected uptime level for each tier. If you are in the process of evaluating data centers, this is no doubt a term you will come across in your search, so we hope this presentation helps provide some solid background in to how you can better choose a data center for your specific needs.
For more insights into the data center world, and to learn more about Data Cave, check out our website at www.thedatacave.com.
Moving Your Data Center: Keys to planning a successful data center migrationData Cave
The document discusses key considerations for planning a successful data center migration. It identifies three main areas to focus on: 1) Deciding whether to replicate the existing infrastructure or create something new, noting the tradeoffs of each approach. 2) Carefully planning the logistics of moving equipment and finding experienced help. 3) Anticipating challenges and having contingency plans, and getting buy-in from management and other stakeholders. Thorough preparation from multiple angles can help ensure a smoother transition.
The Role of Cloud Computing In Your Data Center StrategyVISIHOSTING
The document discusses cloud computing trends and options for moving an organization's data center to the cloud. It provides an overview of public versus private cloud, outlines factors to consider when evaluating a cloud migration, and presents a maturity model for data center services from basic colocation to fully outsourced cloud solutions. The key benefits of public cloud include scalability, pay-per-use pricing, and reduced costs, while private cloud offers dedicated resources and more control but requires capital investment and management overhead.
Data Center Planning for Maximum Uptime: Production and Disaster Recovery SitesVISIHOSTING
The document discusses key phases and considerations for developing a disaster recovery strategy for a data center. It outlines 6 phases: 1) identifying and prioritizing business services, 2) mapping services to infrastructure requirements, 3) categorizing recovery time objectives, 4) right-sizing the disaster recovery data center, 5) determining an appropriate location, and 6) considering additional factors like tier level and transportation. It also discusses documenting the strategy in areas like virtualization plans, data management, equipment acquisition, and operations. Financial examples are provided to illustrate the cost differences between maintaining recovery capabilities for all versus critical infrastructure.
This document discusses disaster recovery strategies for data centers. It outlines several challenges to disaster recovery including outages having greater business impacts and misunderstanding the costs of maintaining technology services. It also discusses various disaster recovery options that are becoming more effective and cost-efficient due to technological advances. The document then describes the key phases in developing a disaster recovery strategy, including identifying business services, mapping services to infrastructure, determining recovery categories, and evaluating locations. It stresses the importance of understanding the current environment and properly sizing the disaster recovery site.
The document discusses key aspects of data centers including:
- Defining what a data center is and its main components: white space, support infrastructure, IT equipment, and operations staff.
- How data centers are managed through coordinated efforts between IT and facilities to maintain systems and infrastructure.
- What a green data center is and how the federal government is involved in improving energy efficiency.
- Common concerns of key stakeholders like IT, facilities, and finance when managing a data center.
- Options for addressing lack of power, space or cooling through optimization, moving locations, or outsourcing.
- Important measurements and benchmarks for data center efficiency like PUE and where to find standards from groups
Windstream Webinar: “Data Centers: Outsource or Own?” with Forrester ResearchWindstream Enterprise
Windstream and Forrester Research analyst Rachel Dines will look at the economics of data centers and how you can maximize IT dollars by outsourcing your data center facilities.
This document outlines over 10 considerations for building a new data center, including availability requirements, power needs, location impacts, design and construction teams, life cycle costs, efficiency metrics, modular approaches, staffing needs, budgets, and regulatory compliance. It emphasizes carefully evaluating availability, growth plans, energy rates, location qualities, and selecting experienced design partners. It also notes the costs of high availability, green initiatives, and regulatory certifications must be considered in planning and budgeting.
Taming Big Science Data Growth with Converged InfrastructureThe BioTeam Inc.
2014 BioIT World Expo presentation
"Many of the largest NGS sites have identified IO bottlenecks as their number one concern in growing their infrastructure to support current and projected data growth rates. In this talk Aaron D. Gardner, Senior Scientific Consultant, BioTeam, Inc. will share real-world strategies and implementation details for building converged storage infrastructure to support the performance, scalability and collaborative requirements of today's NGS workflows. "
For a copy of this presentation please email: chris@bioteam.net
Logistics, Data in Motion and Paradigm Shift of the CIO: The economics and psychology of the flow of information. Advances in IT, especially cloud technologies, are causing a shift in the role of the CIO.
The IT-AAC is a non-partisan think tank focused on sustainable IT acquisition reform for the federal government. It aims to provide decision-makers with alternative expertise and resources to guide the establishment of best-in-class IT acquisition processes and governance. The IT-AAC has analyzed failures in past DoD IT acquisitions, benchmarked industry best practices, and conducted pilots of alternative acquisition approaches. It is working to standardize an agile acquisition framework for rapid adoption across agencies.
As DCIM emerges into a familiar term, a fortified discipline, a new market of solutions, and by definition 'integrates IT and facilities management', what does 'bridging the departmental gap' really mean? Where are the gaps, where will the synergy be, and what will be done differently with DCIM in the mix? Join Michael Tresh, Director of Product Management and Marketing, as he discusses legacy, current, and future data center infrastructure management.
The document is an IBM study that developed a data center operational efficiency model with four stages - Basic, Consolidated, Available, and Strategic. Data centers operating at the Strategic level allocate 50% more resources to new projects compared to Basic centers. Key characteristics of Strategic data centers include optimizing assets for high availability, designing for flexibility, using automation tools, and aligning the data center plan with business goals. The study found Strategic data centers delivered greater investment in initiatives, efficiency, and flexibility compared to Basic centers.
Aitp presentation ed holub - october 23 2010AITPHouston
This presentation from Gartner discusses 10 top IT infrastructure and operations trends for organizations to watch. The trends covered include virtualization, big data, energy efficiency, unified communications, staff retention, social networks, legacy migrations, compute density, cloud computing, and converged fabrics. For each trend, the presentation provides details on how the trend affects organizations and recommendations on how to prepare and respond. The overall message is that IT leaders need to be aware of these emerging trends and develop strategies to leverage and adapt to them.
This document discusses the importance of having a robust IT technical support strategy. As businesses become more reliant on integrated IT systems, downtime can have far-reaching impacts across an organization. The costs of downtime have increased significantly in recent years. The document recommends taking a holistic view of technical support using a framework that considers people, processes, and technology. It also advises conducting an assessment of the current support structure to identify areas for improvement and prioritization. The overall message is that proactively managing technical support can help businesses optimize costs and mitigate risks from downtime in today's complex IT environments.
Real time big data analytical architecture for remote sensing applicationLeMeniz Infotech
Real time big data analytical architecture for remote sensing application
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This document discusses the importance of having a robust technical support strategy to mitigate the risks and costs of downtime. It begins by outlining how downtime can negatively impact organizations through a "ripple effect" as business processes have become increasingly dependent on integrated IT systems. It then presents IBM's framework for a comprehensive technical support strategy covering people, processes, and technology. The document advocates conducting an assessment of an organization's current support maturity level and developing a roadmap to prioritize improvements. Finally, it argues that a managed support solution through a third party can help optimize support more cost-effectively across an organization's entire IT environment.
Managing 'Big Data': Federal use cases for real-time data infrastructureSchneider Electric
OSIsoft's PI System - a software data infrastructure for real-time and event data is a necessary underpinning for monitoring, measurement, and incremental improvement in complex critical infrastructure environments. Hear about use cases and return on investment relevant to federal projects where energy management, operations optimization, and real-time situational awareness are priority goals.
When does it make sense to upgrade to more efficient servers? Most data centers operate on a 3 to 5 year tech refresh cycle. Is this really the best way to decide when to refresh old equipment? By continuously monitoring the cost to run older equipment, you can determine when you have hit the break-even point with your existing servers. Join Viridity co-founder and CTO, Mike Rowan, as he reviews best practices for technology refresh.
The document discusses the growing issue of power management in data centers, noting that energy costs are the fastest growing expense and many data centers will soon run out of power capacity. It explains that while IT infrastructure has become more dynamic, facilities have remained static, creating a large gap between power consumption and delivery. The document argues that in order to address this challenge, CIOs must be given power budgets and power must be measured at the equipment level to incentivize changes and connect power usage to business needs.
The document discusses the business case for cloud computing and provides critical legal, business, and diligence considerations. It outlines benefits like cost avoidance, improved agility, and focusing on core business functions. Evaluation considerations include functionality, security, disaster recovery, and contractual requirements. Privacy and regulatory compliance are also important factors to examine for a cloud migration.
VMware streamlined its architecture approval process using Troux to close the gap between IT and business. Troux helped operationalize tribal knowledge, improve business understanding of changes, and show how IT aligns with business capabilities. It reduced impact analysis time from 3 weeks to 1.5 weeks. Troux also helped improve governance, reduce risk and non-compliance, and increase mobile access to applications. The initial data collection into Troux required more time than planned to ensure accuracy.
Similar to Data Center Decisions: Build versus Buy (20)
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.