Smart Infrastructure Solutions London New York Singapore www.citihub.com etrading & Market Data Agile infrastructure Telecoms Data Centre Grid Learning from the Cloud providers to use the CMDB to drive cost savings through automation Richard Croucher Pragmatic Configuration Management for IT Services Reducing Cost and Risk
Cloud or Fog? Disruptive influences No clear definition, multiple interpretations No longer just for SME s, large organisations are beginning to adopt cloud services 2
Cloud definition Lots of descriptions available, probably the best is:- Clouds are hardware-based services offering compute, network and storage capacity where: Hardware management is highly abstracted from the buyer Buyers incur infrastructure costs as variable OPEX Infrastructure capacity is highly elastic (up or down) McKinsey and Company 3
Cloud service abstractions Software as a Service SaaS Delivers an application as a service Examples Salesforce.com, Gmail, SAP Business ByDesign Platform as a Service PaaS Provides an execution environment Defined by a set of API s Examples Amazon Web Service, Google App Engine, Microsoft Azure, Force.com, IBM Blue Cloud, Sun Network.com, Amazon S3 Infrastructure as a Service IaaS Provides a virtualised infrastructure Examples Amazon EC2, GoGrid, 4
Cloud Types Public Cloud Open to anyone (with a credit card) Targeting developers, startups, SMB today i.e. Large numbers, low touch users Scale up/down in minutes, full multi-tenancy Caged Cloud Evolution of managed hosting offerings to support scale-down as well as up Dedicated to individual client at point in time Offered by leading Service providers Scale up/down in days or weeks, limited multi-tenancy Private Cloud Exploitation of cloud management technologies to provide private cloud capabilities to internal users - build your own Cloud Continue to satisfy Enterprise privacy, legal and compliancy requirements Departmental sharing e.g. Shared Test environments 5
What makes Clouds so effficent? Cloud providers are leading the industry by optimising all layers of the stack 1. Massive scale lowers unit cost 2. Engineer app from ground up, abstract from hardware create a reliable service using cheap, low-cost, unreliable components. 3. Automate everything possible 4. Self Service Portals - quicker setup time and minimises support costs 5. Efficient Data Centres PUE (Google reports 1.2) 6. Transparent costs (incentivising appropriate behaviour) 6
Unit CPU hour cost Barrier to Entry The barrier to entry to build your own infrastructure will increase as Cloud charges decrease Cloud service charge SME Large Enterprise Factor in the value of right-sizing to match business volumes 7
Physical resource demand Physical resource demand Internal / external platform balancing Service packaging & pricing Source a % of capacity from external providers without assets Limit pre-provisioning inefficiency Rapid upwards scalability Ability to downsize without sunk asset cost Likely to require internal workload rebalancing Traditional model Balanced model Inefficient preprovisioning Missed opportunities during market spikes Over-provision & sunk cost during down-cycle No preprovisioning Rapid scalability Limited overprovisioning Internal provision or sourced with assets Internal provision or sourced with assets Up Down Up t Up Down Up t Type of market Type of market 8
Multi Service Solution END USERS DEVELOPERS CONSUMERS iservice PORTAL BUY MANAGE BILL PARTICIPATE BROKERING / WORKFLOW ORCHESTRATION / AUTOMATION SERVICE LAYER INTERNAL SERVICES WHITE LABELLED SERVICES EXTERNAL SERVICES 9
Automation in action Standards Components Patterns Planning + Analysts Developers Orchestration Prov Monitor Windows Prov NW Prov Alarms Service Desk SA + Operations Build Tools IDE Logical Inf. Release Build Tools Physical Inf. 10
Drag and Drop Self Provisioning Virtualized Data Centers Examples : 3Tera AppLogic, Egenera PAN Mgr, Voltaire GridVision, Virtualiron Scalent + DS FabricServer, LiquidIQ, Q-Layer 11
Asset Physical lifecycle Demand Receiving Specify Requirement Evaluate and Test sample SKU Definition Purchasing Order SKU Retire Supplier RMA No Remove Item Create type Yes Pass? Soak Testing CMDB Change Status Faulted Add Item Change Owner Change location Mark Available Allocated to Business Build out Burn In & sizing Pass? Yes Available Resource Pool No Resource Req/de-alloc. 12
Configuration States in CMDB Change request Alarms Ought-ness Maybe-ness Desired State reconcile drift Expected State request allocate Provision approve Automation + Rules Actual State Discovery is-ness Manage Entity Monitoring Alarms 13
Automation is dependent on the CMDB Relationships Allocation and ownership Organization structure, business units, services, access permissions, escalation Physical Configuration Describe the physical devices All ports to enable full cabling plan to be defined Location vector (Building-Hall-Cage-Rack-Slot-Port) Device State Pre-rack, Build, Test, Use, Available, Failed, Repair, Retirement Logical Configuration An instantiated server and how they are interconnected Network endpoints - exposed and accessed, can then derive network configuration rules Software package descriptions configuration and personalization Service Configuration Environment Test, Production, DR, Standby Switch alert destination as environment changes Health Includes performance and alerts. Links back to incident management, often federated access to an external system All exposed by a bi-directional web services API 14
DC Model - blueprints Physical views Logical Views
Automation - Business benefit examples Service & Operations Automation Platform Efficiency (CAPEX saves) Typical potential for 20-45% savings through consolidation and server rightsizing A top tier bank removed 2,200 servers through just in time test environments Operational Efficiency (OPEX saves) SA to server ratio of 1:1,440 achieved by Agile leader ecommerce giant grew by 10,000 server / month without increasing staffing Compliancy and Audit Automated processes make predictable and audited changes Easier to prove compliancy for PCI and SOX Example audit effort reduced from months to days Business agility real examples Leading service provider reduced deployment time for a 30 server Web farm from 30 days to 3 days Middleware and application deployment reduced from >8 hours to <5 minutes 16
Thank You Richard.Croucher@Citihub.com www.citihub.com Citihub Smart Infrastructure Solutions 10 years experience offering Trusted, independent advice 17