Post on 24-Jan-2015
description
11
DataSynapse OverviewDataSynapse Overview
2
Enterprise IT Problem DomainReducing Datacenter Costs & Improving IT Operations
Business Drivers
“Datacenter spend is a large, growing and very inefficient portion of the total IT budget in many technology intensive industries…..”
Poor demand & capacity planning across functions
Senior management holding CIOs accountable for operational efficiency
6% server utilization, 56% facility utilization
Current StateInfrastructure Utilization Datacenter assets dramatically under-utilized
Infrastructure Growth Rates Demand for infrastructure growing rapidly
Application Time to Deploy Takes too long to deploy enterprise applications
Applications PerformanceApplications that don’t consistently meet to SLAs
IT Costs CapEx budgets can’t satisfy demand for infrastructure OpEx commitments that continue to grow
3
DataSynapse Value PropositionReferenceCustomers
Low InfrastructureUtilization
High InfrastructureGrowth Rates
Rising IT InfrastructureCosts
Delayed ApplicationRoll-Out
Sub-optimalApp Performance
Common Challenges
60-80 % Higher Utilization
20-40% Lower Growth Rates
10-20% IT Cost Reductions
90%+ FasterTime to Deploy
100% Applications Meeting SLAS
DataSynapse ValueCommon Use CasesDataSynapse Platform
Cloud Computing
VirtualizationManagement
IT Consolidation andStandardization
Self ServiceApp Infrastructure
Grid Computing
Shared InfrastructureServices
• Resource Pooling• Virtualization• Grid computing• Public Cloud Integration
Application Mgmt. Services
• Resource brokering• Automated deployment• SLA Management• Self-Service
Application PackagingServices
• Standard packaging and deployment
• Application Repository• Application Meta Data
FinancialServices
Global Telecom
Government
Manufacturing
DocumentedResults
DART BusinessValue Methodology
Validated by
4
GridServer
Service execution platform that dynamically scales enterprise services based on performance and business requirements
5
Typical GridServer Customer Example
• Customer Profile- Capital markets division of a global financial services organization- Selling more diverse products: structured debt products, CDOs, mortgage backed securities,
complex derivatives
• Business Problem:- Product diversity has driven the amount of risk processing required- Business has no CapEx for thousands of new servers required to get risk results to bankers in
a reasonable timeframe
Before GridServer- Executing 1000 risk calculations per day- Average risk calculation takes 2 – 12 hours - No real-time risk data available
After GridServer- Executing 10K+ risk calculations per day- Average risk calculations 10-20 minutes - Business now has real-time risk view
• Benefits- Order of magnitude improvements time to results – on the same (or less) hardware
6
So is Grid Computing a universal solution?
Customers started to ask us?
Can I run my standard Web apps on the Grid
Can I run my packaged apps on the Grid?
Can I run legacy apps on the Grid?
Really only applicable to a subset of enterprise applications – those applications where the processing of information is easily parallelized
7
FabricServer - Basics
FabricServer
Package OncePackage Once
FabricServer provides tools and templates required to build
self-contained, runnable packages of applications and platforms
Platforms Packaged Legacy
Tools
Self-ContainedPackages
ConfigurationInformation
FabricServer
Run AnywhereRun Anywhere
FabricServer manages those packages and can activate on any runtime environment (physical,
virtual, cloud)
CloudsVirtualPhysical
Automated Deployment
ServiceRepository
Run-TimeBroker
PolicyEngine
Manage RuntimeManage Runtime
FabricServer allows production support teams to create policies
for how applications will be managed at run time
CloudsVirtualPhysical CloudsVirtualPhysical
FabricServerService
Repository
Run-TimeBroker
PolicyEngine
FabricServerService
Repository
Run-TimeBroker
PolicyEngine
Closed Loop Policy-Based
Allocationof Infrastructure
8
Bringing Cloud Computing In-House
• Automated deployment and provisioning• Self-service access for developers
• Component / application catalogue• Policy engine for defining business rules • Run-time broker for workload management
• Shared pools of infrastructure • Run-time optimization,
auto-scale up/down• Deep support for virtualization, • Integration of public clouds
Self-Service Portal
Physical Virtual Clouds
Shared Infrastructure
ServiceRepository
Run-TimeBroker
PolicyEngine
9
ApplicationInfrastructure
(e.g. your app platform)
Bare Metal Server
App SpecificConfiguration
Application Code
Operating System
Hypervisor (VM)
Platform as a Service (PAAS)
SAAS Software as a Service
PAAS Platform as a Service
IAAS Infrastructure as a Service
• Users access service running on the cloud• Users don’t manage or control any or application capabilities
• Users access service to build and deploy applications on the cloud • Users don’t manage infrastructure, but do control application
hosting configurations
• Users access service to provision processing, storage, networks, and other fundamental computing resources
• Users don’t does manage or control the underlying cloud infrastructure but can configure operating systems, storage, and possibly networking components (e.g., firewalls, load balancers).
Your
App
licati
on S
tack
Much of the technology and investments for internal IAAS already in place:
• Virtualization and virtualization management • Bare metal provisioning • Systems management software
Enterprise IT is already building web apps
IAAS
SAAS
• The same enterprise application stacks you already run• Auto provisioned, on-demand for use by
business application developersPAAS
10
FabricServerFabricServer
Key Features of FabricServer:Key Features of FabricServer:
The first and only platform for packaging, deploying and managing true enterprise applications (e.g., distributed, complex, multi-tier) on
physical, virtual or cloud-based datacenter environments:
Multi-Component Application Management
Self-Service Ready for Virtualized & Private Clouds Extensible Policy Engine
- Deploy complex enterprise applications via the Web
- Snapshot running systems for automated re-purposing
- Package complex, distributed multi-tier applications
- Repurpose Applications easily on any environment
- Build business rules to manage deployment and run-time of complex apps
- Integrate 3rd party datacenter technology(DCA /VMware)
1111
DataSynapse OverviewDataSynapse Overview