Datacenter Transformation Offering

Transcription

1 Highlights End to End architecture and infrastructure design support for creating/transforming to a Next Generation Datacenter (NGDC). Proven methods, expertise, and best practices that enable faster deployment and return on investment (ROI). Differentiated capabilities through a repeatable solution set of technology and services. Our services include: Assessment and Strategy Blueprinting Architecture and Infrastructure Design Instrumentation and Automation Value / Investment Model Creation Program Management Design and Oversight Table of Contents Datacenter Limitations... 1 Efficiency Tailored Design... 3 Deployment Architecture... 4 Platform Architecture... 5 Datacenter Design Principles... 6 Adaptivity Engagement... 7 NGDC Program... 8 Introduction Today s IT organizations face a dual challenge of keeping the lights on while providing new services at unprecedented rates with reduced investment support from the business. At the same time the very business model of IT is changing how applications, content, information, and infrastructure are delivered. These demands and changes must account for the fact that external facing customer experience and corporate branding, as well as internal operational systems, depends heavily on the datacenter for services. Disruptions in this service can literally induce significant financial losses or even paralyze an organization completely. One of the biggest barriers to business execution and innovation today is managing datacenter complexity. This forces the largest IT investment spend to be focused on keeping the lights on and containing infrastructure sprawl. The enterprise s inability to focus a majority of its time and investment dollars on innovating and differentiating business through IT leads to continued missed expectations and disappointment within the business user community. Problem: The Limitations of Current Datacenter Infrastructure Approaches It is essential to understand that past design choices are why datacenter services are not meeting the needs of the business. In particular, these design choices have resulted in complexity, waste, performance barriers, and cost models that don t work for the customer or best in class distinction. The lack of understanding and transparency of what has been done in the past, and what could be done now, results in continued misalignment with business needs. Moreover, this prevents business agility and reduces shareholder value. The legacy of past design choices cause data center services to consistently miss business expectations. Practically, entire datacenters cannot be converted overnight. In addition, even if organizations adopt and build an optimal footprint/design, it requires a bridge strategy to intersect with legacy design and infrastructure. The bridge strategy needs to begin with understanding the traditional datacenter design limitations. To change this, IT will need to change its approach. Any successful approach must begin with where digital service executes the datacenter infrastructure.

2 The typical data center layout incorporates homogenous pooling and linear use of various classes of resources: Resource Type Organization Location Servers Pools Throughout Datacenter Storage Network: Load Balancers, Switches and Routers Files, Blocks, or RAW Grouped Functions Generally concentrated in its own area of the Datacenter Clustered throughout Datacenter This approach is not designed for business impact, optimal workload throughput, time to provision or ideal space / power usage. With this type of data center layout, the average provisioning cycle is measured in weeks or months versus the minutes or days needed to provision, troubleshoot or perform to meet the needs of the business. While it is clear that this does not align with the business needs, firms still continue to employ this strategy. Supply Driven Management: Most data center infrastructure is designed and managed from the bottom up. The typical approach is to standardize, partition, allocate and implement a vanilla solution that is attached to the network based on the topology of the data center floor. Provisioning is then designed for peak workloads, leveraging the bottom up platform. The business workload and service requirements that incorporate performance, price or efficiency factors are not incorporated, which result in inconsistent service delivery and a misalignment of needs. Past Decisions Affecting Today s Data Center Performance that comprise a service unit. This results in significant performance impacts whereby compute, memory, I/O fabric, disk, storage and connectivity to external feeds are provided in terms of layout not in terms of service delivery. This approach impacts performance by 30 times and creates waste with unnecessary network traffic and bandwidth usage all causing return on equity (ROE) to suffer. Proximity of Devices: Traditional datacenter infrastructure design does not consider proximity of the various devices comprising a service unit that delivers processing to users. This results in significant performance impacts (user experience of the business suffers) whereby compute, memory, I/O fabric, disk, storage, and connectivity to external feeds are provided in terms of layout not in terms of service delivery. Performance can be impacted by 30 times due to this approach. Moreover, this creates waste in terms of unnecessary network traffic congestion and bandwidth usage (ROE suffers). One Size Fits All: Data center infrastructure and vendor strategy are usually built around a perceived standardized footprint. The problem is that this is typically designed bottom up with little or no correlation to the workflows, workloads, information, content and connectivity requirements or the competitive needs of the business. Such disconnects result in poor performance, unnecessary costs and waste and agility Layout: The typical datacenter layout issues for both the business and IT. incorporates homogenous pooling of various classes of resources. Servers by Spaghetti Transaction Flow: multiple classes are typically in multiple Transaction flow across traditional data pools; storage by file or block are in center infrastructures is not organized to different pools in their own area of the consider the proximity of various devices datacenter; network load balancers, network switches, and network routers are pooled/deployed across various areas of the datacenter. This approach is sound in terms of physical floor organization, but is not designed for optimal workload throughput or time to provision. The average provisioning cycle in datacenters with this type of layout are measured in weeks or months versus the minutes or days needed to provision, troubleshoot, or perform to meet the needs of the business. Silo Operational Model: Typically, datacenter lifecycle management is a collection of disparate processes. This is a result of two primary factors: reactive planning for datacenter infrastructure management processes, and bottom up silo design and evolution of new components. This creates disconnected management and processes that fail to deliver the service needed by the business. Legacy Skill Sets: Most organizations talent planning is implemented in silos. Specifically, personnel are trained for a finite role definition without any consideration of the corresponding impact of the role/skills on end to end service delivery. This creates a barrier to change that must be addressed when creating a new datacenter infrastructure. Insanity: doing the same thing over and over again and expecting different results. Page 2

3 Solution Approach: A Demand Driven Efficiency Tailored Datacenter Infrastructure Design There are proven architectures, technologies, and operating models that can resolve the design limitations outlined above. Strategically oriented organizations have, can, and will start to orient future designs and deployments of datacenter infrastructure that will align and differentiate their businesses. To realize this objective, a top down approach must be employed to map business processing demands with processing resources. These mapped relationships can then be correlated against infrastructure qualities to capture, visualize and isolate how to optimize datacenter infrastructure to meet the goals of performance, availability, cost and efficiency. Core to the Next Generation Datacenter infrastructure design is the development of a holistic footprint of infrastructure (network, storage, compute, memory, disk, I/O, housing container, power, cabling, etc.) that is efficient and effective in design, deployment and provisioning. This footprint concept has to be thought of as a composition of service delivery units that can be consumed in a variable manner on demand consumption and real time reconfiguration. Adaptivity provides a powerful combination of key technologies and transformation services to successfully bridge the gap from legacy to next generation datacenter infrastructures. This integrated set of capabilities enables organizations to implement a demand driven efficiency tailored operational design that consistently results in best in class next generation datacenter transformation. Page 3

4 Next Generatio Efficient High Perfor Datacenter Transformation Offering Deployment Architecture Key Design Attributes Business Driven Execution Design: Applications and services grouped by value chain function and processing types eliminating spaghetti transactions that cause negative business performance impacts Fit for Purpose SM Data Center Design: Tailored functional ensembles of components and services within the data center footprint that are engineered in a demand based manner to meet the needs of the business value chain function and drive optimal performance, cost and efficiency Page 4

5 n Datacenter mance with Control Platform Architecture Key Design Attributes Dynamic Application Service Management (DASM): A unified management fabric providing dynamic and automated provisioning, configuration management, real time metering and runtime control of business application and infrastructure services across the virtual data center footprint Process Unanticipated Peaks: A data center operates as a service utility that reflects a demand based model where services are used as needed and pools of resources are allocated on demand as required Facilitate & Control Growth: Simplified engineering combined with dynamic management promotes greater efficiency and enables greater agility of new services, while reducing costs, waste and unnecessary consumption resulting in sustainable growth efficiency Page 5

6 Next Generation Datacenter Design Principles The Next Generation Datacenter (NGDC) Architecture is used to guide the realization of efficient, reliable, and timely deployment of applications into an operational infrastructure that is managed and operated as a utility. The NGDC Architecture guides the creation of an infrastructure for the NGDC based on design principles; below is a sampling: Efficient Customizable Infrastructure Footprints: In financial market firms the trade incorporating quality of service, content acceleration, switching, routing and load balancing as needed. This eliminates the lifecycle executing across the digital supply design limitations of systems that are not chain experiences fluctuating volumes, connected in a way that provides the best frequency and workload types. Firms have performance and least amount of infrastructure dynamically. This drives speed, to tailor the infrastructure service footprint into an ensemble of components and capabilities that can ensure optimal service scale and cost efficiencies. delivery and efficiency for variable processing requirements in areas, including market Service and Change Management: Dynamic models of operation require processes and procedures of service, delivery data collection and delivery, data delivery into the trading process, trade engine execution, trading decision support and on and change management to accommodate the on the fly and as needed, when demand risk and post trade processing. needed operations of IT. Unified Fabric: The unified fabric combines integrated infrastructure service Abstracted: The design of each infrastructure component and layer needs to footprints that encapsulate compute, memory, disk, I/O, storage and various process have sufficient abstraction so that the operational details are hidden from all other ing appliances into a single footprint while collaborating components and layers. This maximizes the opportunity to create a virtualized infrastructure, which aids in rapid deployment and simplicity of operation. Dynamic Provisioning: To promote organizational agility, the typical delay between application release and deployment must be shortened from weeks to days. Application teams are better positioned to determine how their configurations should be arranged. A facility is required that enables application teams to safely deploy changes to applications eliminating wasteful coordination cycles with Datacenter personnel. The Datacenter staff spends less time patching and provisioning applications, and less confusion minimizes configuration drift over time. High Performance Economic Model: Define the business Specifically, quality attributes and operational requirements of the business in terms and IT linkage of demand and supply. Orient the analysis and model creations of calendar events, demographics, competitive benchmarking across the straight around the interactive dynamics of consumption of IT resources by the business through processing (STP) value chain. and the fulfillment behavior of processing Fit for Purpose SM Operational Footprints: The categorization of the de by IT. This needs to be correlated with the value chain function and the corresponding products or services that are differentiated mand s operational qualities allow for the by business type (liquidity, risk transference, advice), business importance (margin, direction of processes to optimized infrastructure resources that match the required labor, flow) and cost to transact. characteristics. Tailored and coordinated operational footprints are organized in tightly coupled physical environments called Processing Execution Destinations (PEDs). Demand Mapping: In natural language terms (no geek speak!), define and capture the day in the life of the business, what it expects and where there are problems. Be sure to understand sensitivities to cost, bottlenecks and timing constraints as well. Simplified Engineering: The utility will only be viewed as a success if it is easy to use, reduces time to deploy, provisioning is highly reliable, and it is responsive to demand. Applying the above principles simplifies engineering and meets the objectives that will make the utility a success. Simplified engineering promotes greater efficiency, enables the Datacenter to migrate to a green status, enables greater agility in the deployment of new services, all while reducing cost, eliminating waste, decreasing time to deploy, and providing a better quality service. Product and Portfolio Management: Coalescing business and technical priorities in continuous capability adoption to ensure sustainment and differentiation of your business through IT. Page 6

7 With Control Implement Virtual Resources: Once tion of service delivery units that can be runtime management, resource management and instrumentation are in place, only demand consumption and real time consumed in a variable manner on then do you implement everything virtual. This is a critical lesson that traps reconfiguration. Consumption Management: Instrument and capture objective factual data of most organizations where they start bottom up without the ability to manage which users, accessing what applications, and ensure business alignment. consume what server, network, application Virtual Infrastructure Lifecycle and storage resources and for how long. In Management: Policy and event driven, particular, ensure that end to end delivery is correlated against consumption measures of latency, availability, throughput, bare metal provisioning of infrastructure services that supplement dynamic peak data aggregation and persistence, disk transaction loads and near real time provisioning of additional capacity on demand in swapping, memory volatility and coherence, compute time, event size and I/O a coordinated manner based on business time. priority. Dynamic Runtime Orchestration Management: Runtime control and execution enforcement ensuring that the right work gets done at the right time with the right resources. Business operates dynamically in real time, your infrastructure needs to as well. Think of it as a composi Real Time: Infrastructure allocation, reprovisioning, demand monitoring, and resource utilization must react as demand and needs change, which translates into less manual allocation. Instead, a higher degree of automation is required, driving business rules about allocation priorities in different scenarios to the decision making policies of the infrastructure which can then react in sub seconds to changes in the environment. Dynamic Economic Model: a defined business and IT linkage of demand and supply. The model must be created around the interactive dynamics of IT resources by the business and the fulfillment behavior of processing by IT. Business Policy and IT Security Enforcement: Comprehensive, realtime business and security policy enforcement execution in bare metal speed timeframes. The ability to implement point ofpolicy enforcement and administration that serves both business agility requirements with guaranteed, non repudiated transactions and secure data delivery creates a competitive advantage and significant efficiencies compared to traditional, regulatory driven entitlement strategies. Next Step: Contact Adaptivity Our approach helps firms quickly establish a strong foundational core. This can be leveraged to drive mass customizable, reusable building blocks of new IT capabilities that differentiate qualities of user experience while achieving new levels of lean efficiencies. We institute a sustainable culture of continuous innovation for new business capabilities through IT. Our offerings arm firms with tools necessary to enable the Service Orientation of IT Operations. We build these capabilities through: Playbooks: Aligning IT Strategy with Business Value; Multi Year Strategic Platform Roadmaps; Creative Funding Models; Change Management Strategies; Packaging and Promotion of Service Offerings; Engineering Performance into Critical Systems; Legacy Infrastructure Transformation; Datacenter in a Box Strategy Execution Blueprints: Business Use Cases/IT Strategies; Workload Patterns/Optimized Architectures; Infrastructure Patterns/Intuitive Deployment Models; Service Oriented Architectures/Service Oriented Infrastructures; Cloud Utility/Applications; Information and Infrastructure as Dynamic Services Operating Models: Strategy and Architecture Program; Service Offerings/Product Management; Portfolio Management; Service Delivery/Service Support Page 7

8 Next Generation Datacenter (NGDC) Program The creation and packaging of technology as consumable NGDC services is a critical component in building and deploying an NGDC infrastructure. There are 10 key components involved in defining and designing an NGDC infrastructure: NGDC Service Design Definition of: what infrastructure services to build, how they will be consumed, what efficiency targets are required are some of the important questions that will be resolved in this step. A workshop exercise leveraging external examples will help the NGDC client team define their service. Packaging in various formats will be identified and completed as part of this scope. NGDC Service Design Qualities Definition of: availability, responsiveness, consistency, appropriateness, flexibility will be completed. A workshop exercise leveraging the service offering definition and best in class service qualities benchmarks will help NGDC client team define the qualities of their service capabilities. Legacy Datacenter Modeling Profiling application and infrastructure dependencies, conducting consumption and usage analysis, decomposing current infrastructure deployment and management strategies. NGDC Service Design Roadmap Design of a communication and planning visual vehicle to interact with current and potential consumers. A workshop and iterative modeling exercise will help NGDC client team create the roadmap of their available, planned and recommended capabilities. Suggested future capabilities will be incorporated into the NGDC roadmap with this scope of effort. NGDC Service Architecture Patterns Design and definition of the service type patterns in terms of workload generation, qualities of experience, etc in support of standardized deployment models. Iterative design sessions will help NGDC client team produce their standardized service patterns for consistency and scale. NGDC Architecture Ensembles Design and definition of the infrastructure patterns representative of the shared services platform both available and planned. These standardized and reusable blueprints of infrastructure design and deployment map corresponding service patterns onto idealized infrastructure service footprints to fulfill the service offering requirements in terms of: performance, costs and efficiencies. Iterative design sessions will help NGDC client team produce their standardized infrastructure patterns. NGDC Infrastructure Processing Execution Destinations (PED) Design and definition of a multi layered reference model incorporating conceptual, logical, physical, functional architectures. Architectural Tradeoffs Analysis Method (ATAM) for each deployment model and key architectural characteristics will be captured. This will be defined through iterative sessions that will help NGDC client team produce their tailored reference architecture. NGDC Architecture Maturity Model Definition of a multi phase, multidimension reference architecture model that evolves in terms of maturity and realization of critical architecture qualities as the platform as a service offerings mature. This will be captured through iterative sessions that will help the client team produce, track and manage the maturity evolution of their shared service platform reference architecture. NGDC Service Design Framework Definition of an ITIL influenced service management, and service support model that integrates into your company s existing and planned support model. The scope will also cover appropriate instrumentation, tooling and reporting necessary to operate a successful shared service platform. This will be created through iterative sessions that will enable your business to implement a service delivery model that ensures the quality of the shared service platform and user experience. NGDC Program Design and Oversight Define a multi phase, multiyear program management discipline that will guide your business through an evolution toward a sustainable NGDC. This will be created through the use of iterative sessions with program stakeholders to maximize potential for consensus building. About Adaptivity Adaptivity helps IT Organizations solve execution gaps and maximize IT s impact on shareholder value. We have institutionalized our award winning and proven track record as end user practitioners into three core execution areas of IT Strategy, IT Architecture and IT Operating Models. We differentiate through our ability to help firms rapidly and incrementally succeed in driving business aligned service level improvements while radically lowering costs. Adaptivity s ADIOS SM Methodology, Fit for Purpose SM Design Framework and Quality of Experience SM Maturity Model serve as change catalyst mechanisms to help firms drive dramatic infrastructure cost reductions, increase growth efficiencies and improve service levels multiple fold. For more information, please visit Entire contents , Adaptivity, Inc. All Rights Reserved Adaptivity Inc. info@adaptivity.com