Fabrizio Renzi. Infrastruttura IT e business

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1 Fabrizio Renzi Infrastruttura IT e business

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4 I cicli delle macchie solari ed i cicli del business

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6 The New Enterprise Data Center An evolutionary new model for efficient IT service delivery Fragmented, inefficient islands of computing Efficient, dynamic and responsive Initiatives Consolidation and Virtualization Energy Efficiency Business Resilience and Security Service Management Information Infrastructure

7 The New Enterprise Data Center An evolutionary new model for efficient IT service delivery Fragmented, inefficient islands of computing Efficient, dynamic and responsive Initiatives Consolidation and Virtualization Energy Efficiency Business Resilience and Security Service Management Information Infrastructure

8 Che cos è la virtualizzazione? Essere in potenza, essere possibile... nel Prendere una grande risorsa e crearne altre singole e più piccole. - oppure - Far si che molte risorse agiscano come una sola. La rappresentazione logica delle risorse non vincolata a limitazioni fisiche Creare molte risorse virtuali con un solo dispositivo fisico Visualizzare e gestire moltitudini di risorse virtuali come se fossero una Cambiare e adattare dinamicamente l infrastruttura.

9 Il profilo della virtualizzazione dei sistemi e l offerta IBM Crescita / Affidabilità System z & System p,i SMP Logical Partitioning Consolidamento / Ottimizzazione Rimozione dei vincoli fisici System z Parallel Sysplex HACMP Clusters Clusters Virtual Tapes and Disk Hardware Distributed Mach OS Amoeba IBM AIX Container zos (MVS) Virtual Memory Sistemi Operativi Hypervisor zvm VMware Xen IBM DB2 HADR, Oracle RAC WebSphere XD Clusters Software Service Provider Model Server & Storage Virtualization Grid WebSphere ND Cloud Il Fil Rouge di una soluzione E2E Salendo nello stack Manage Server Virtualization Manage Virtualized Asset IBM Tivoli Software Manage Storage Virtualization Manage Network Virtualization

10 Qualità ed esperienza, scalabilità illimitata 2008 Cloud Computing 1990 Grid Computing Risolvere grandi problemi con parallel computing 2000 Utility Computing Offrire risorse di elaborazione come servizio a consumo Software as a Service Abbonamenti network-based alle applicazioni On Demand Computing Business integrated end to end per rispondere velocemente a richieste dei clienti, opportunità di mercato o problemi esterni Accesso illimitato alle risorse IT Sempre e dovunque fornito dinamicamente come servizio

11 Forze che spingono verso il Cloud Computing Explosion of data intensive applications on Internet Fast growth of mobile commerce Increased network capacity and availability Advances in computer architecture and price/performance Requires massively scalable cloud infrastructures to serve billions of heterogeneous browser-based clients

12 Architettura del Cloud Computing Monitor Systems and Resource Utilization Provisions VMs and Application Software Stack Offers a Virtualizad and Dynamic IT Operating Environment Systems Management Provisioning Web 2.0 UI Cloud Services Catalog Cloud User s Portal Contract Management Defines Resources and their usage time, QoS

13 IBM Blue Cloud Delivers a massively scalable and flexible compute platform for hosting both existing and emerging data-intensive workloads. Apache Virtual Machine Virtual Machine Virtual Machine Virtual Machine Tivoli Monitoring Agent Linux with Xen, PoweVM, etc. Virtualized Infrastructure IBM Monitoring v.6 Monitoring DB2 Provisioning Manager v.5.1 Provisioning Baremetal & Virtual Machines WebSphere Application Server Provisioning Management Stack Virtualization: Virtualization: all all physical physical machines machines act act as as virtual virtual machine machine hosts; hosts; all all workloads workloads run run on on virtual virtual machines machines Provisioning: Provisioning: dispense dispense preloaded preloaded virtual virtual machines machines in in minutes minutes Monitoring: Monitoring: ensure ensure systems systems that that go go down down are are recycled recycled quickly quickly

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15 Quali Benefici dal Cloud Computing? Technology Incubation Collaborative Innovation Data Intensive Workloads Academic Initiative Government-led Initiatives Software Development

16 Scale UP Due modi per creare nuvole con ensembles Enterprise SMP Scale Up / Consolidated Platforms z/os AIX Linux Linux i5/os Linux AIX Windows IBM System x Windows Linux Solaris IBM System Storage IBM BladeCenter Windows AIX Linux Solaris Scale Out / Distributed Platforms Scale OUT

17 Ensemble scale out distribuito idataplex Availability, provisioning and scaling BladeCenter ensemble Storage

18 Ensemble scale up tutto d un pezzo System z Ensemble omogeneo by design Industry standard per alta utilization Business-driven service management Standard di riferimento per la security Just-in-time capacity by design

19 The New Enterprise Data Center An evolutionary new model for efficient IT service delivery Fragmented, inefficient islands of computing Efficient, dynamic and responsive Initiatives Consolidation and Virtualization Energy Efficiency Business Resilience and Security Service Management Information Infrastructure

20 The New Enterprise Data Center An evolutionary new model for efficient IT service delivery Fragmented, inefficient islands of computing Efficient, dynamic and responsive Initiatives Consolidation and Virtualization Energy Efficiency Business Resilience and Security Service Management Information Infrastructure

21 Footprint IT sulla CO2 legata alle attività umane. Stime gartner/mondo, IDC/USA, Uguale circa all industria aeronautica Previsto il raddoppio in 4 anni. Data sources: Green IT: A New Industry Shock Wave, Gartner Symposium/ITxpo, October 2007, IDC US DOE, F. Renzi carbon footprint

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23 Tematica verde e aziende I key drivers Da dove cominciare? Rispetto regolamenti e leggi Costi Clienti e prodotti Strategia Supply chain Persone Azienda Immagine Business development IT Edifici Informazione

24 Le possibile aree di azione IBM sul tema CO 2 Strategia verde Clienti Brand Image Green Marketing Prodotti Product Lifecycle Management Eco-Design (design for the environment) Operations e Supply Chain Manufacturing Logistics / Distribution Centres Procurement Persone Vision (green agenda) Governance Green Policies (travel, home working ) Organisation Structure Employee Engagement Infrastruttura Buildings Data Centres IT Equipment Production Plant Distribution Centres Energy Management (reduction in use, renewable sources) Informazioni Compliance (inventory, readiness) Carbon Dashboard Carbon Trading Change Management sul comportamento sostenibile

25 Progetto BIG GREEN Mobilitazione IBM su scala globale Investimento di un miliardo l anno Approccio metodologico a step

26 Progetto Big Green 1 Billion $ allocato ogni anno per accelerare lo sviluppo di servizi e tecnologie green : - Sviluppo di soluzioni tecnologiche composte da hdw, sfw e servizi con l obiettivi di ridurre i consumi IT. - Sviluppo metodologie e competenze per servizi e consulenza in ambito Green. Prime azioni e risultati Premi e Riconoscimenti 2005 Computer Program Charter Member 1992 Business Environmental Leadership Council FORTUNE 500 Top , 2005, 2006 Charter Member Charter Member , 1999, 2001 Gli sforzi di IBM sono pubblicati e verificati Charter member 2003 WRI Green Power Market Development Group Charter member 2000 Since inception USEPA Climate Protection Award 1998 and 2006 The Climate Group 2005 Green Power Purchaser Award (b) voluntary emissions reporting since % Tra il 1990 e il 2005 le iniziative IBM di risparmio energetico hanno ridotto o evitato le emissioni di CO 2 per un ammontare pari al 40% delle emissioni IBM relative al Obiettivi futuri 12% Dal 2005 al 2012: Ulteriore riduzione delle emissioni di CO 2 dovute al proprio consumo di energia del 12%. Questo a fronte di un raddoppio previsto nei consumi ICT.

27 La commoditization dell IT. L IT ed in particolare la tecnologia è diventata una commodity? No...o forse SI Ma è poi così male essere una commodity?

28 Perchè la rivincita delle commodities?

29 Nuove sfide anche per l IT Bank of China: 350 milioni di conti correnti 30 milioni di transazioni in meno di 60 minuti. La risposta è sempre e solo quella dal 1964

30 La crisi energetica dei data centers Data center watts/sq. ft Low High or earlier Current By 2011 Solo la parte IT senza la parte UPS/condizionamento 0.5 Euro per power&cooling ogni Euro per acquisizione hdw Source: Gartner, U.S. Data Centers: The Calm Before the Storm, ID #G , September 25, 2007

31 Dove si consumano realmente i watts in un data center? 100 Data Center Servers Hardware Server Loads Typical Utilization Mainframe 80 90% Unix 10 20% Wintel 5 12% HVAC, UPS 40% IT power 60% AC/DC losses; 25% DC/DC losses; 10% Fans; 9% Processor 30% Idle; 80% Used Resource 20% = 3,6% of total Standby; 2% Drives; 6% PCI; 3% Planar; 4% Memory; 11% Need one more W of compute energy? 27 W data center X1,7 16 W equiv IT power x3 5 W equiv processor x5 +1 W equiv. used ressource Servizi Sites & Facilities GTS Systems Design

32 Power everywhere

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34 Efficenza energetica a partire dal chip Power6 Power Reduction: Monitor and reduce power to idle logic within cores NAP Mode: Power off inactive cores, restore power when needed Thermal Tuning: Sensors monitor and reduce power to overactive circuits Power and Heat Heat BTU 70,000 60,000 50,000 40,000 30,000 20,000 10,000 - IBM p6 p570-16cores HP Superdome -Sun M GHz 36Cores - 52Cores 25,000 20,000 15,000 10,000 5,000 - Watts BTU Watt 34

35 Efficenza energetica dei servers 100 Data Center Servers Hardware Server Loads Typical Utilization Mainframe 80 90% Unix 10 20% Wintel 5 12% HVAC, UPS 40% IT power 60% AC/DC losses; 25% DC/DC losses; 10% Fans; 9% Processor 30% Idle; 80% Used Resource 20% = 3,6% of total Standby; 2% Drives; 6% PCI; 3% Planar; 4% Memory; 11% Need one more W of compute energy? 27 W data center X1,7 16 W equiv IT power x3 5 W equiv processor x5 +1 W equiv. used ressource Servizi Sites & Facilities GTS Systems Design

36 Suddivisione dei consumi energetici di un Server Dove usiamo il power in un server? Potenza consumata 500 IBM Control 280 Processor 270 Memory 255 Disk 235 Planar PCI 205 Standby 150 AC/DC, DC/DC & Cooling Little IBM influence IBM Can Influence

37 IBM nell efficenza energetica può aiutare end to end 100 Data Center Servers Hardware Server Loads Typical Utilization Mainframe 80 90% Unix 10 20% Wintel 5 12% HVAC, UPS 40% IT power 60% AC/DC losses; 25% DC/DC losses; 10% Fans; 9% Processor 30% Idle; 80% Used Resource 20% = 3,6% of total Standby; 2% Drives; 6% PCI; 3% Planar; 4% Memory; 11% Need one more W of compute energy? 27 W data center X1,7 16 W equiv IT power x3 5 W equiv processor x5 +1 W equiv. used ressource Servizi Sites & Facilities GTS Systems Design

38 The New Enterprise Data Center An evolutionary new model for efficient IT service delivery Fragmented, inefficient islands of computing Efficient, dynamic and responsive Initiatives Consolidation and Virtualization Energy Efficiency Business Resilience and Security Service Management Information Infrastructure

39 Concludendo: sull IT si può e si deve agire. Perche? Quando? Come? Con chi? Grazie per la vostra attenzione