Agile Infrastructure why bother?

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1 Citihub Ltd 32 Threadneedle Street, London EC2R 8AY The CMDB is the core component in creating agile infrastructures Richard Croucher London July 9th, 2008 Smart Infrastructure Solutions t + 44 (0) f + 44 (0) Citihub Inc 275 Madison Avenue, 4th floor t Agile Infrastructure why bother? Your Data Centre infrastructure is increasing in cost To support Business growth Increasing energy costs Increasing complexity demands expensive skills It takes too long to support new business initiatives You can save $$millions optimizing resource usage and through automation 2 Agile Infrastructure Logical s Servers are allocated out of the pool, the network and storage devices are Automatically configured to create the desired environment. Physical 3

2 Why OS Virtualization is not enough Operating System virtualization - reduced CAPEX, but increased OPEX More systems to manage (virtual + physical) Increased complexity New environments to manage, skill up, patch e.g. VMware ESX How to reduce the management cost? Too many humans in the loop, too much effort to - Build out new systems, Create virtualized environments, load balance by tweaking the configurations and migrating to new physical servers Market data bursts, online services both suffer from sudden load demands. Open Loop demand v. Traditional enterprise Closed Loop demand applications OS Virtualization only helps whilst there is spare capacity on the physical server SOA and Internet Services - how to size? Do you spend on just in case sizing or risk bad service if undersized 4 Resizable executable partitions Creates variable sized execution partitions Each one executes a specific application or environment. Resources are allocated to partitions based on Service Level Objectives Partitions are isolated except for predefined endpoints connections Uncommitted Capacity Examples of partitions: Fixed Income Grid, F/X Grid also for SOA application, Web Services Live examples in the Online Services World Enables resources to be moved between them, based on business needs Typical time to provision is 5mins to 1 hour Headroom of uncommitted capacity kept available to deal with surges 5 Automation for Agile Infrastrcuture Partition Level Policy Reporting, Logging, Trend Analysis Sensors - Monitoring, Observers Uncommitted Capacity Virtual Resources Vmware, XEN, VLAN, LUN, NAS Physical Resources Server, Storage, Network, InfiniBand SW Prov Provisioning Effectors HW Prov Orchestration Configuration Management Database Relationships, Discovered, Expected and Desired states 6

3 Drag and Drop deployment 1. Drag and drop from previously defined components and connect together to create a desired deployment state. 2. Workflow based approval process. 3. Automatically verify available resources. 4. Instantiates environment using Effectors to configure the infrastructure. 7 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. 8 Page 8 Physical Device States Enables life cycle management Pre-Rack the device has been, or is about to ordered, but it has not get been received. Enables configuration to be pre-defined e.g. intended location In Build the device has been received and is currently being assembled, racked or cabled. Communication to the device is unstable. In Test the device is built and is ready for or currently undergoing testing Healthy the device is in working order. It is available for use, or may already have been allocated. Failed - Faults have been logged on this device such that it is no available for use. Partial failures, where a device could still be used, will remain as healthy. In Repair the device is currently queued for, or undergoing repair. Disposal the device is marked for disposal. It should not be re-allocated or tested. 9

4 Managed Elements switch Expresses how a ME is currently being used Acts as a switch for Alarm routing and escalation Permits allocation of physical resources to either Test or Production roles facilitates DR Assumes appropriate isolation mechanisms are in place Enables instantiation of Pre- Prod environments on Demand with subsequent promotion to Prod following successful Test. 10 Service States Describes the State of a Service, used with Monitoring and Alarm systems Off The Service is turned off. Standby The Service is configured ready to provide service but is currently blocked from receiving any requests. It is currently Out of Service (OOS) Re-Configuration the Service is currently out of service currently and is being deployed or is undergoing re-configuration. Running it is currently in service Failed the service has failed. This may translate to difference significance depending on the level, since a horizontally scalable Service can still be considered Running, even though some it s Instances may be in a Failed state. The ServiceHealth is a way to determine this partial status, since large Services will almost always have some level of underlying failure. Unknown this is used to represent that the current service state is unknown. 11 Every Managed Entity needs to be :- Observers Observable - independent viewer, watchdog and/or performance metrics Monitor Provision Configure Monitored reports status and performance Provisionable deploy software and/or firmware Configurable via automation, Web service API Discover Discoverable determine actual configuration Managed Entity (Server, switch, device, OS, Application) 12

5 Configuration States Change request Alarms Ought-ness Desired State CLM/SLM Expected State reconcile allocate drift request Provision Automation + Rules Actual State Discovery Build Entity is-ness Monitoring Alarms 13 Page CMDB level of detail 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 Software package descriptions configuration and personalization Service Configuration Test, Production Organization Access permissions, escalation, responsibilities Health Includes performance, Links back to incident management, often federated access to an external system + Relationships Physical Server Example 15

6 Logical Server example 16 Logical based deployment descriptions Each ServerGroup has a description of the software packages necessary to deploy and its resource requirements. Endpoints describe service access points, annotated with attributes to include LB and Multicast properties. ReqConnections describe Endpoints it needs to be connected to. Described using a recognized modelling syntax Graphical tools to compose, XML, XSD and APIs for automation 17 Model Based Automation Model based automation enables the physical configuration to be derived from a logical representation of the required configuration which is then instantiated through standardised and well tested drivers to configure the devices and provision the servers, storage and network. It requires a robust description of the entire data centre infrastructure that is accessible via rich APIs to automation tools. This can be provided by a Configuration Management DB (CMDB). A number of standards exist for modelling the DC Common Information Model (CIM) defined by the DMTF ( Service Modelling Language ( draft w3c standard. CIM is supported using WEBEM tooling. Heavily supported by Microsoft (Windows Management Instrumentation (WMI) which is CMI based, Sun and Cisco. Standardization activities are starting to converge around Service Modelling Language (SML) promoted by BEA, BMC, Cisco, Dell, EMC, HP, IBM, Intel, Microsoft and Sun. And now accepted by w3c as a draft standard. Potential to eventually replace CIM. SML is a meta language for producing XML descriptions within Component Model Libraries in a portable way that facilitates integration between different products which have adopted SML. CML are described as XML Schema Documents (XSD). Existing XML/XSD tooling can be utilized. 18

7 CMDB Requirements for Agile infrastructures Desired, Expected and Discovered Configuration State Sufficiently detailed configuration data to enable full provisioning of Servers, Network Switches and devices, Storage Arrays etc. Physical Device States and Switch Relationships between them to identify Service impact and assist root cause correlation. Web services API s to allow loosely coupled automation bi-directional for both import and export 19 Agility maturity model Storage virtualization OS virtualization Server standards Paper policies Builds standards Asset Management FOUNDATIONAL Cost recovery Software provisioning Virtual machine management Script-based automation Configuration discovery Configuration management BASIC Chargeback Bare-metal provisioning VM Live migration Manual orchestration Configuration enforcement INTERMEDIATE Event-triggered actions Alarm correlation Rental chargeback Policy engine Declarative rules Workflow orchestration Config. states Model-based deployment AUTOMATED Proactive alarm prevention Fine-grained chargeback Multiple service providers Derived rules Multiple DC instances Automated state reconciliation Derived physical configurations ADVANCED 20 About Citihub Citihub is a specialist IT infrastructure consultancy for the financial services industry Our people are proven industry practitioners with an appetite for complex challenges, particularly around applications infrastructure We're passionate about our clients'success; the industry s leading companies come back to us time and again because we take ownership and we deliver results Richard.Croucher@citihub.com

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