This document discusses strategies for modernizing data centers through increased abstraction from hardware infrastructure. It advocates for a multi-year strategic planning approach to balance both incremental and transformational changes. Key elements of data center modernization discussed include adopting software-defined, programmable infrastructure through converged solutions, automation, and virtualization. Planning considerations cover people, processes, and technologies to support a transition to software-defined, utility-like operations over time.
Many inventions over the past 70 years lead up to the modern datacenter. This infographic features some of the milestones that changed datacenter history.
The legendary Dr. Seuss created his own special language in many of his books. We at Lenovo have our own language when it comes to Mission-Critical Servers. View this file, the second of two "Lenovo Mission-Critical Server-Speak" files to learn more or visit https://www.linkedin.com/pulse/dr-seuss-meets-max-headroom-x6-katherine-kathy-holoman?trk=prof-post
Lenovo and Red Hat: Changing the Economics of Cloud ComputingLenovo Data Center
Lenovo and Red Hat deliver new cost effective, open standards-based private and hybrid cloud solutions to help you leverage existing IT investments while investing to increase business agility. Gain the benefits of OpenStack while minimizing risks.
How to Reduce IT Complexity with the Right Systems Management PlatformLenovo Data Center
Lenovo XClarity is a new centralized resource management solution that enables administrators to deploy infrastructure faster and with less effort. Analyst firm, Pund-IT, recently published a paper on the benefits of Lenovo XClarity. This presentation is a summary of those findings.
The Software Based Data Center. Is It For You?Dell World
As more and more IT organizations experience the benefits of server virtualization, expanding to a broader implementation that encompasses networking and storage seems like the next logical step. But is it for you? In this session, discover the benefits of tomorrow's software-based data centers and learn how they can help maximize the delivery of IT services.
Many inventions over the past 70 years lead up to the modern datacenter. This infographic features some of the milestones that changed datacenter history.
The legendary Dr. Seuss created his own special language in many of his books. We at Lenovo have our own language when it comes to Mission-Critical Servers. View this file, the second of two "Lenovo Mission-Critical Server-Speak" files to learn more or visit https://www.linkedin.com/pulse/dr-seuss-meets-max-headroom-x6-katherine-kathy-holoman?trk=prof-post
Lenovo and Red Hat: Changing the Economics of Cloud ComputingLenovo Data Center
Lenovo and Red Hat deliver new cost effective, open standards-based private and hybrid cloud solutions to help you leverage existing IT investments while investing to increase business agility. Gain the benefits of OpenStack while minimizing risks.
How to Reduce IT Complexity with the Right Systems Management PlatformLenovo Data Center
Lenovo XClarity is a new centralized resource management solution that enables administrators to deploy infrastructure faster and with less effort. Analyst firm, Pund-IT, recently published a paper on the benefits of Lenovo XClarity. This presentation is a summary of those findings.
The Software Based Data Center. Is It For You?Dell World
As more and more IT organizations experience the benefits of server virtualization, expanding to a broader implementation that encompasses networking and storage seems like the next logical step. But is it for you? In this session, discover the benefits of tomorrow's software-based data centers and learn how they can help maximize the delivery of IT services.
Manage easier, deliver faster, innovate more - Top 10 facts on Dell Enterpris...Dell World
The Dell Enterprise Systems Management software portfolio is a powerful set of systems and data center management tools that help you maximize your investment in Dell enterprise systems and unify the management of your IT resources. Come learn how some of the largest and most innovative companies use Dell’s Enterprise Systems Management solutions to streamline server management, increase overall system reliability and maximize data center efficiency.
It is changing -- and there's a desire to find new ways to deliver applications and services -- to serve the business. Our own Don Frame and Gina Hefner address these challenges specifically for the public sector...
This is the Lenovo 1 and 2 socket rack and tower server customer presentation for the completely new and enhanced portfolio. It describes the portfolio's value proposition and key points to remember. Highlights benefits and features of products in each of the main portfolio categories: entry, mainstream, and performance. Showcases targeted workloads and optimized use cases, including big data, analytics, virtualization, and infrastructure.
Nutanix + Cumulus Linux: Deploying True Hyper Convergence with Open NetworkingCumulus Networks
Web-scale customers have been the early adopters of eliminating proprietary technologies and using next-gen architectures to transform data center networking economics to a scale-out, Clos-fabric based approach. If you’re an enterprise customer and want to reap the benefits of this new design model, check out what Nutanix and Cumulus Networks have to offer your organization and business.
MT48 A Flash into the future of storage…. Flash meets Persistent Memory: The...Dell EMC World
Several key technology trends are redefining the boundaries of the traditional storage infrastructure stack: In a rapidly changing world of system interconnects, emerging memory media, and storage semantics, Server Designers and Storage Architects are engaging and collaborating like never before to exploit breakthrough technology capabilities.
With the backdrop of Big Data volume, Cloud Data ubiquity and IoT Data velocity, Application Developers are entering the Post-POSIX world of real-time, high-frequency, low latency data management frameworks.
This session will address key technology trends in Storage, Networking, and Compute, as they define the parameters of a Memory Centric Architecture (MCA) and the Next Generation Data Center.
Lenovo Dense Servers for the next generation: the NeXtScale SystemLenovo Data Center
This presentation describes Lenovo Dense offering the NeXtScale System, its components and its targeted workloads. NeXtScale is a solution that is built for HPC clusters and workloads like analytics, big data, simulation and modeling and risk assessment.
CloudWeavers is an innovative Private Cloud Solution allowing any SME to have the benefits of virtualization and on premise private cloud infrastructure with no single point of failure at a fraction of the cost compared to the most famous competitors (eg VMWare, Microsoft and Citrix).
Using Open Source technologies to create Enterprise Level Cloud SystemOpenFest team
Using Open Source technologies to create Enterprise Level Cloud System, optimize your costs and offset your carbon footprint on the environment - Венелин Горнишки, Илиян Стоянов
A buyer's guide to Hyper-Converged infrastructureEric Van 't Hoff
A very comprehensive buyer's guide for anyone considering to use a Hyper-Converged Infrastructure to modernize his/her Data-Center. The report is published by Computer Weekly and covers solutions from Dell EMC VxRail or XC, Nutanix, VMware vSAN ReadyNodes, HPE SimpliVity and Pivot3 to name just a few HCI leaders.
DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization Denodo
Watch here: https://bit.ly/2NGQD7R
In an era increasingly dominated by advancements in cloud computing, AI and advanced analytics it may come as a shock that many organizations still rely on data architectures built before the turn of the century. But that scenario is rapidly changing with the increasing adoption of real-time data virtualization - a paradigm shift in the approach that organizations take towards accessing, integrating, and provisioning data required to meet business goals.
As data analytics and data-driven intelligence takes centre stage in today’s digital economy, logical data integration across the widest variety of data sources, with proper security and governance structure in place has become mission-critical.
Attend this session to learn:
- Learn how you can meet cloud and data science challenges with data virtualization.
- Why data virtualization is increasingly finding enterprise-wide adoption
- Discover how customers are reducing costs and improving ROI with data virtualization
ADV Slides: When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
Manage easier, deliver faster, innovate more - Top 10 facts on Dell Enterpris...Dell World
The Dell Enterprise Systems Management software portfolio is a powerful set of systems and data center management tools that help you maximize your investment in Dell enterprise systems and unify the management of your IT resources. Come learn how some of the largest and most innovative companies use Dell’s Enterprise Systems Management solutions to streamline server management, increase overall system reliability and maximize data center efficiency.
It is changing -- and there's a desire to find new ways to deliver applications and services -- to serve the business. Our own Don Frame and Gina Hefner address these challenges specifically for the public sector...
This is the Lenovo 1 and 2 socket rack and tower server customer presentation for the completely new and enhanced portfolio. It describes the portfolio's value proposition and key points to remember. Highlights benefits and features of products in each of the main portfolio categories: entry, mainstream, and performance. Showcases targeted workloads and optimized use cases, including big data, analytics, virtualization, and infrastructure.
Nutanix + Cumulus Linux: Deploying True Hyper Convergence with Open NetworkingCumulus Networks
Web-scale customers have been the early adopters of eliminating proprietary technologies and using next-gen architectures to transform data center networking economics to a scale-out, Clos-fabric based approach. If you’re an enterprise customer and want to reap the benefits of this new design model, check out what Nutanix and Cumulus Networks have to offer your organization and business.
MT48 A Flash into the future of storage…. Flash meets Persistent Memory: The...Dell EMC World
Several key technology trends are redefining the boundaries of the traditional storage infrastructure stack: In a rapidly changing world of system interconnects, emerging memory media, and storage semantics, Server Designers and Storage Architects are engaging and collaborating like never before to exploit breakthrough technology capabilities.
With the backdrop of Big Data volume, Cloud Data ubiquity and IoT Data velocity, Application Developers are entering the Post-POSIX world of real-time, high-frequency, low latency data management frameworks.
This session will address key technology trends in Storage, Networking, and Compute, as they define the parameters of a Memory Centric Architecture (MCA) and the Next Generation Data Center.
Lenovo Dense Servers for the next generation: the NeXtScale SystemLenovo Data Center
This presentation describes Lenovo Dense offering the NeXtScale System, its components and its targeted workloads. NeXtScale is a solution that is built for HPC clusters and workloads like analytics, big data, simulation and modeling and risk assessment.
CloudWeavers is an innovative Private Cloud Solution allowing any SME to have the benefits of virtualization and on premise private cloud infrastructure with no single point of failure at a fraction of the cost compared to the most famous competitors (eg VMWare, Microsoft and Citrix).
Using Open Source technologies to create Enterprise Level Cloud SystemOpenFest team
Using Open Source technologies to create Enterprise Level Cloud System, optimize your costs and offset your carbon footprint on the environment - Венелин Горнишки, Илиян Стоянов
A buyer's guide to Hyper-Converged infrastructureEric Van 't Hoff
A very comprehensive buyer's guide for anyone considering to use a Hyper-Converged Infrastructure to modernize his/her Data-Center. The report is published by Computer Weekly and covers solutions from Dell EMC VxRail or XC, Nutanix, VMware vSAN ReadyNodes, HPE SimpliVity and Pivot3 to name just a few HCI leaders.
DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization Denodo
Watch here: https://bit.ly/2NGQD7R
In an era increasingly dominated by advancements in cloud computing, AI and advanced analytics it may come as a shock that many organizations still rely on data architectures built before the turn of the century. But that scenario is rapidly changing with the increasing adoption of real-time data virtualization - a paradigm shift in the approach that organizations take towards accessing, integrating, and provisioning data required to meet business goals.
As data analytics and data-driven intelligence takes centre stage in today’s digital economy, logical data integration across the widest variety of data sources, with proper security and governance structure in place has become mission-critical.
Attend this session to learn:
- Learn how you can meet cloud and data science challenges with data virtualization.
- Why data virtualization is increasingly finding enterprise-wide adoption
- Discover how customers are reducing costs and improving ROI with data virtualization
ADV Slides: When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
Cloud Computing is a term used to refer to a model of network computing where a program or application runs on a connected server or servers rather than a local computing device such as a PC, tablet or Smartphone.
www.ipsrglobal.com
Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network.[1] At the foundation of cloud computing is the broader concept of converged infrastructure and shared services.
Cloud computing, or in simpler shorthand just "the cloud", also focuses on maximizing the effectiveness of the shared resources. Cloud resources are usually not only shared by multiple users but are also dynamically reallocated per demand. This can work for allocating resources to users. For example, a cloud computer facility that serves European users during European business hours with a specific application (e.g., email) may reallocate the same resources to serve North American users during North America's business hours with a different application (e.g., a web server). This approach should maximize the use of computing power thus reducing environmental damage as well since less power, air conditioning, rackspace, etc. are required for a variety of functions. With cloud computing, multiple users can access a single server to retrieve and update their data without purchasing licenses for different applications.
Cloud computing, or in simpler shorthand just "the cloud", also focuses on maximizing the effectiveness of the shared resources. Cloud resources are usually not only shared by multiple users but are also dynamically reallocated per demand. This can work for allocating resources to users. For example, a cloud computer facility that serves European users during European business hours with a specific application (e.g., email) may reallocate the same resources to serve North American users during North America's business hours with a different application (e.g., a web server). This approach should maximize the use of computing power thus reducing environmental damage as well since less power, air conditioning, rackspace, etc. are required for a variety of functions. With cloud computing, multiple users can access a single server to retrieve and update their data without purchasing licenses for different applications.
ADV Slides: Platforming Your Data for Success – Databases, Hadoop, Managed Ha...DATAVERSITY
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here? In this webinar, we say no.
Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage like a kid in a candy store? We’ll discuss what platforms to use for what data. This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.
Drop the herd mentality. In reality, there is no “one size fits all” right now. We need to make our platform decisions amidst this backdrop.
This webinar will distinguish these analytic deployment options and help you platform 2020 and beyond for success.
Deliver Best-in-Class HPC Cloud Solutions Without Losing Your MindAvere Systems
While cloud computing offers virtually unlimited capacity, harnessing that capacity in an efficient, cost effective fashion can be cumbersome and difficult at the workload level. At the organizational level, it can quickly become chaos.
You must make choices around cloud deployment, and these choices could have a long-lasting impact on your organization. It is important to understand your options and avoid incomplete, complicated, locked-in scenarios. Data management and placement challenges make having the ability to automate workflows and processes across multiple clouds a requirement.
In this webinar, you will:
• Learn how to leverage cloud services as part of an overall computation approach
• Understand data management in a cloud-based world
• Hear what options you have to orchestrate HPC in the cloud
• Learn how cloud orchestration works to automate and align computing with specific goals and objectives
• See an example of an orchestrated HPC workload using on-premises data
From computational research to financial back testing, and research simulations to IoT processing frameworks, decisions made now will not only impact future manageability, but also your sanity.
OPEN'17_4_Postgres: The Centerpiece for Modernising IT InfrastructuresKangaroot
Postgres is the leading open source database management system that is being developed by a very active community for more than 15 years. Gaby Schilders is Sales Engineer at EnterpriseDB, supplier of the EDB Postgres data platform.
Gaby Schilders, Sales Engineer at EnterpriseDB, will be explaining why companies take open source as the centerpiece for modernising their IT infrastructure, thus increasing their scalability and taking full advantage today's technologies offer them.
Hadoop in 2015: Keys to Achieving Operational Excellence for the Real-Time En...MapR Technologies
In this webinar, Carl W. Olofson, Research Vice President, Application Development and Deployment for IDC, and Dale Kim, Director of Industry Solutions for MapR, will provide an insightful outlook for Hadoop in 2015, and will outline why enterprises should consider using Hadoop as a "Decision Data Platform" and how it can function as a single platform for both online transaction processing (OLTP) and real-time analytics.
Best Practices in the Cloud for Data Management (US)Denodo
Watch here: https://bit.ly/2Npt82U
If you have data, you are engaged in data management—be sure to do it effectively.
As organizations are assessing how COVID-19 has impacted their operations, new possibilities and uncharted routes are becoming the norm for many businesses. While exploring and implementing different deployment and operational models, the question of data management naturally surfaces while considering how these changes impact your data. Is this the right time to focus on data management? The reality is that if you have data, you are engaged in data management and so the real question is, are you doing it well?
Join Brice Giesbrecht from Caserta and Mitesh Shah from Denodo to explore data management challenges and solutions facing data driven organizations.
Modern apps and services are leveraging data to change the way we engage with users in a more personalized way. Skyla Loomis talks big data, analytics, NoSQL, SQL and how IBM Cloud is open for data.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
Cloud Computing for Small & Medium BusinessesAl Sabawi
I presented this topic at the Greater Binghamton Business Expo in Upstate New York. It is meant to shed light on utilizing Cloud Computing for Small and Medium size businesses. It should help decision makers consider Software-as-a-Service offerings for their business as a way to save on IT cost and to deliver on better efficiency for their organizations.
Similar to Journey to the Programmable Data Center (20)
1. Journey to the Programmable Data
Center Modernizing our Data Centers – Strategy and
Approach
History, Perspective, Trends
Toby Weiss, Sr. Director, National Infrastructure Practice, Visionary Integration Professionals
Consulting | Technology | Outsourcing
1
3. The Hammer and the Nail
One size does not fit all:
Examples of Context:
Small Business
Business size
organization
needs
application
workloads
Culture,
leadership,
politics
Macro and
industry
economic
trends
Growth versus
maintenance
IT budgets
Technology
drivers like
virtualization &
converged
infrastructure
Rates of
adoption
ROI for our
unique
business needs
• Optimizing the workload already in house;
• Building departments of expertise (that eventually lead to silos)
• Partnerships: likely focused on a single vendors solution
• Leveraging Cloud for Applications and Infrastructure
Med Enterprise
• Mastering centers of expertise into departments (silos)
• Evolving from older platforms that started our business to more
robust and scalable IT
• Beginning to manage technical debt
• More reliance on multi-vendor environments
Larger enterprise
• Breaking through the silos for lean efficiencies
• Technology standardization
• and adoption of converged infrastructure/cloud computing
4. What Would You Predict?
“Computers in the future
may have only 1,000
vacuum tubes and perhaps
only weigh 1 1/2 tons.”
- Popular Mechanics, 1949
The nearly 18,000 vacuum tubes and 6,000 switches of the ENIAC, the
first electronic computer.
Image Sourced from ExplorePAhistory.com
5. Evolution of Computers
99.6% of our history
without Computers!
First mechanical
computer – difference
engine designed 1837.
Today we each have a
“smartphone”.
Image Sourced from Computer History Museum
6. Evolution of Data Centers - What is
Modernization?
Is the utility compute infrastructure our future?
What is relevant to enterprise IT?
7. Industrialized Data Centers and IT Infrastructure
Standardization
Modularity
Scalability
Geo-redundancy
Automation
Orchestration
8. Enablers in Data Center Modernization
Driving DC Modernization
Two Major Trends
1) Advances in Physical Technology
a) Shrinking Hardware Drive Lower Costs With More Power
b) Virtualized functions Converged Infrastructure Appliances
2) Increasing Abstraction from Hardware
c) Virtualization of Hardware Evolved de-facto & industry standards
hypervisor interoperability workload variety
d) OS Overlay Concept GRID GoogleFS/Facebook Hadoop NextGen?
8
9. Historically, Two Approaches to Abstraction from the IT
Infrastructure Layer
Driving freedom from hardware dependencies and pooling resources for greater utilization.
Top Down
Large Workload
Bottoms Up
Small Workloads
Workload (application)
VM
VM
…
Compute (server) Asset Base
Geographically dispersed physical compute assets.
• Federation for aggregated capacity
• Loosely Coupled with middleware libraries
• Type of Parallel computing with common
networks as the “backplane”
• Focused on specific large data set and processing
intensive workloads (scientific traditionally).
Relatively centralized compute assets.
• Un-federated physical capacity to divide and share
• More tightly coupled due to domain of server, rack,
and data center
9
• Higher speed server and data center network as
the “backplane”
• Can support a wider variety of workloads.
10. Programmable or Software Defined Data Center…
Simply Defined
Variety of Workloads
• Complete Abstraction of
Physical Assets
• Hypervisors (software)
Control All Assets, not just
servers
• Top Down and Bottoms up
abstraction of assets
• Lowers I&O costs and
increases agility
VM
VM
…
Compute Assets
11. This is not just about Cloud
• Essential Characteristics
• On-demand self service
• Broad network access
• Resource Pooling
• Rapid Elasticity
• Measured Service
• Service Models
• SaaS, PaaS, IaaS
• Deployment Models
• Private, Community, Public,
Hybrid
Characteristics of DC
Modernization
• Enables and Leverages Cloud
Computing
• Abstracts workloads from
infrastructure
• Enables programmability of
Virtualized Infrastructure
• Modular, Scalable, Geo-dispersed
• Embraces de-facto and industry
standards
• Leverages new operational
process, new organizations, new
roles, new skills
Characteristics of DC
modernization
Characteristics of Cloud
NIST Definition of Cloud
12. What Would You Predict?
“I think there is a world market for maybe five computers.”
- IBM Chairman Thomas
Watson, 1943
14. Abstraction Continues to Enable IT Virtualization
Business Process
Applications
Virtual Infrastructure Layer
GRID Middleware – OS Overlay
Control Software Layer
Physical Infrastructure & OS
Server Machines
Storage Systems
Networking/ Security
Functions
15. Quick Review of Recent History
Mainframe
Client Server
Consolidation
• Monolithic
• Virtualized
• Single Pane of Glass
• Sized for Peaks
• Centralized Control
• Lower Costs*
• Spurs Sprawl
• Processing power
distributes
• Control moves to the
LOBs
• Enables Growth via
LOB Agility
• Creates Isolated
Islands of Storage
• Management of decentralized
computers
• Virtualization drives
consolidation
• Enables Virtual
Sprawl
• Management
Opportunity grows
• SANs simplify storage
via snapshots, dedup,
etc.
• Modular approach
evolves with DC
Containers / PODS
• Data centers
becoming more
complex
Automation &
Converged Inf.
• 1st generation
solutions to simplify
the controlled sprawl
– HP Utility Data
Center and Egenera
• Automation and
management tools
mature
• Hypervisors
concentrate servers,
SANs become
bottlenecks
Increasing Abstraction between the Human and Machine
Cloud
• Converged
Infrastructure at
foundation but still
expensive entry
point.
• Automation evolves
to Orchestration
• Notion of IT-as-aService
• Early in the hype
• Next Generation of
Converged
infrastructure and
Software Defined
Data Centers Evolves
16. What is different today?
Programmable Data Centers
Defined by Software
Evolution of top down Abstraction - OS Overlay
concept: GRID, Hadoop, GoogleFS, etc.
Application Abstraction
The Last Mile: increased flexibility to deploy
networks virtually via NFV and SDN. Control Plane
& Data Plane concept evolve.
Software Defined
Networks
Lessons learned with control of hardware. DevOps,
people, skills, IT organizing differently. Server
virtualization matures.
Facebook and others show us Vanity Free Servers Opencompute.org evolves. Hypervisor
Interoperability.
Evolution of Converged
Infrastructure
Standardized
Infrastructure
17. Evolve architectures to simplified, modular, highly scalable designs
Appliances that simplify & consolidate hardware stacks
Typical Storage Stack Deployment
Replaced with a local controller and Cloud Storage Service
Local Storage
Controller
Images Sourced from Nasuni
18. Evolve architectures to simplified, modular, highly scalable designs
Modular building blocks replace traditional hub & spoke designs
(the Google and Facebook file system concepts)
Layer of Abstraction Decouples Storage
Images Sourced from Nutanix
19. Evolve architectures to simplified, modular, highly scalable designs
Software Defined Data Center Solutions: Data Center Hypervisors
Business Process
Applications
Software Defined Data Center Layer (Virtual Infrastructure or Data Center)
Vendors’ Product: Management, Automation, Orchestration of Physical Assets
Management
Management
Management
SAN
Standard Servers
NAS/DAS
Standard Storage Systems
IDS/IPS
Standard Network
Components
19
20. Elements of Today’s DC Modernization Options
Cloud Deployment
Models
DevOps
Managed Demand
IT Maturity in People
and Process
Abstraction from
infrastructure
landscape
Increased
virtualization of
servers, storage, and
networking
Standardization of
Infrastructure
Hardware
Shared Resource
Pools of servers,
storage, networks
Converged
Infrastructure Point
Solutions
Cloud-first or
“Greenfield”
strategies
Automated
Deployment for
legacy landscapes
Software Defined
Data Center
Solutions
IT-as-a-Service
Consume it, don’t
build it yourself
21. What Would You Predict?
“640K ought to be enough for anybody.”
Microsoft Chairman Bill Gates,1981
23. Multi-Year Strategic Planning to Include
SDDC
Last Inf. Refresh
SDDC Pilots
% SDDC Deployed
• Integrate DC Modernization Strategies with Application Portfolio Planning
• Understand the pace of change for your company and look for entry points to next
generation programmable DC solutions
• Drive out tactical efforts incrementally to lead to a transformation for the larger multiyear picture
• Leverage an IT maturity model from your favorite vendor.
24. Balancing Tactical Efforts with Strategic
Transformation
Pure Tactical
Technology & Process Improvement
Focus on:
“Doing things incrementally
better and with less cost”
Finding the right balance
Pure Strategic
Transformational Changes
Focus on:
“Doing things differently in a big way”
25. Example Planning Framework for Supporting Transform to SDDC
Journey to Data Center Modernization
Best Practices
Planning Layers
Business Strategy
Interim Mode Operations (IMO)
Current Operations (CMO)
(Applications, Architecture,
And infrastructure.)
Process Integration
Organization &
People
Management of
Change
Define
Services, Contracts
and SLAs
Discovery: Current
Technology &
Workloads
Management &
Orchestration tools
Business and IT
process discovery
ITaaS Org Design
Skill Assessments
Readiness
Assessment
POC
Design
Ongoing Governance
Implement Governance
Mechanisms
Governance Plan
Business Case
Technology Strategy
Business strategy
Future SDDC Operations (FMO)
Publish Service Catalog
POC Buildout
Full Buildout
Migrate Application
Workload
Ongoing Refresh and Maintenance
Implement Service Catalog Portal
Define new ITaaS
process and
integration points
to existing
processes
Adopt/modify
Operations Guide
Test Operations
Guide
Updates to Operations Guide
IMO Team leads Workload
Migration
IMO resource
training
IMO resource
transition
MOC Roadmap
Communications
Planning
FMO resource
transition
Steady State Operations – adds, changes,
decommissions, capacity expansions, etc.
Key Announcements and Communications
Line of Business and General IT
Education/Training
Plan Outsourcing
Transition
Transition to
External Service
Provider/Operator
26. Summary of Approach to Modernize Data
Centers
Embrace Multiyear strategic
planning for I&O
Big Picture on
the Puzzle may
be a common
Vision
Balance
Incremental
with
Transformational
Change
Align Pace of
Change across
layers in your
strategic
planning
27. Parting Thoughts
• IT infrastructure may become like a utility, but it is a long way off.
Infrastructure and Operations still relevant today!
• Embrace both on and off premise solutions. DC modernization is also
about leveraging someone else's modernized data center.
• Explore emerging technologies leveraging the ingenuity of the Web
2.0 companies. They may not be right for all of us today, but when
will it be right? Can you predict?
• DC modernization should support your enterprise cloud strategy.
OS OverlayFederation of compute resources for an aggregated total capacityLoosely coupled, heterogeneous, geographically dispersedConstructed with general purpose middleware software librariesUsually non-interactive, computationally intensive workloads with large filesA type of parallel computing in which common networks are the “backplane”Infrastructure VirtualizationTechnology focused abstraction leverages unused capacity by partitioningTightly coupled, heterogeneous goaled, historically centralizedHardware and software comprised of proprietary, de-facto, and industry standardsHigher speeds on the “backplane”More latitude to optimize for variety of workloads due to hardware layer of focusWhat are the costs to each approach? 1 the cost of virtualization may be small but adds up over large environments2 the cost of distributing a large workload is usually the constraints of latency, control, security, etc.