Improving Agility of Cloud Ecosystems with MODAClouds Introduction and objectives for the second year

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1 Improving Agility of Cloud Ecosystems with MODAClouds Introduction and objectives for the second year Elisabetta Di Nitto Politecnico di Milano

2 MODAClouds () 2

3 MODAClouds objectives Multi-Cloud Dev&Ops Management Dev Biz increase reduce Deployment speed Flexibility Elasticity/Adaptability Set of services Lock-in Ops Unpredictability of performance 3

4 MODAClouds objectives Multi-Cloud Dev&Ops Management Dev Biz Cloud Providers Supply (IaaS/PaaS) Increase visibility of Small European providers Ops 4

5 Cloud adoption: motivations 5 Bitcurrent survey

6 Cloud adoption: perceived problems 6 Bitcurrent survey

7 Solving Real Problems #1 need ways to avoid lock-in for cloud infrastructures and applications Biz meets Cloud Alternative Organizations Biz & IT departments #2 need ways to provide business agility and flexibility with cloud infrastructures and applications: Interoperability and BEV #3 need IT departments operating in a more optimized, automated and agile way #4 need to include Business and Cost Issues into decision making for Dev & Ops

8 Solving Real Problems Building Cloud Applications Architects & Developers #1 need to build applications avoiding Cloud Providers and Stacks lock-in #2 lack of Tools and Frameworks to build from an agnostic perspective of underlying providers & stacks

9 Solving Real Problems #1 need to operate, monitor and assure performance & quality of cloud applications on multi-cloud environments Operating Cloud Applications Operators (Application & Systems) #2 need to migrate application s components between clouds providers seeking for Best Execution Venues #3 need to automate operations & reduce operational overhead of multicloud management (simple governance, dashboard monitoring, unified metrics and user-defined SLA policies between platforms)

10 Solving Real Problems #1 need to offer services in a very fragmented and crowded market Selling Cloud Services PaaS & IaaS Providers and Vendors #2 market dominated by large providers, hinders innovative or niche solutions #3 long-tail Providers Visibility and Interoperability to the rescue

11 Our concept of Multi-Cloud (1) Application can be deployed on different clouds IaaS 1 PaaS A Your App PaaS B SOFTEAM, BOC, ATOS case studies 11

12 Our concept of Multi-Cloud (2) Application is replicated on different clouds Social Network service Call Center Smart City planner Cloud 1 Electric company Gas company Smart City planner Cloud 2 Siemens case study 12

13 Product Definition Cloud Development Tools IDE + MODACloudML (agnostic and QoS ready)language Adapters & Abstraction Library Flexible Multi-Cloud Apps Management, Monitoring & Operation Environment maximizes automation with Quality of Service Engine, Monitoring, Inter-Operability and Portability of underlying infrastructure providers (IaaS and PaaS) Decision Support System Is a system on its own enables selection of BEV provider at development & testing phase; and adds automation of runtime adaptation 13

14 MODAClouds Design-time IDE CCIM Feasibility Study Eng. Decison Support System Feasible Services Application Developer Functional Modelling Environment & Data Mapping Architecture & Functional Requirement s QoS Engineer QoS Modelling QoS Requirement s & Monitoring Rules Data Model CPIM CPSM Data Definition Scripts Data Mapping Application Developer Code Generation Deployment & Provisioning Application Provider Deployment & Provisioning Design Alternatives & Deployment Design Alternatives & Deployment QoS Modelling & Analysis QoS Engineer QoS Modelling & Analysis QoS Requirement s & Monitoring Rules Monitoring Rules & Ontology Application Code & Deployable Artefacts Application Developer Application Provider QoS Engineer Selfadaptation Policies

15 Design-time MODAClouds architecture MODACloudML QoS Engineer Modaclouds IDE Filling the Gap Design- Time Manager QoS modelling and analysis tool (WP5) Application Developer Functional Modelling Environment (WP4) Shared Models Decision Support System (WP2) Feasibility Study Eng. Application Developer Data Mapping Component (WP4) MODACloudML Deployment and Provisioning Component (WP4) Application Provider Runtime Cloud App Admin Monitoring Rules and Ontology Runtime platform Runtime GUI History DB Monitoring Platform Policies for selfadaptation Initial Deployment Model & Artifacts Execution Platform Flexiant Self Adaptation Reasoner PaaS Unified Library mosaic jclouds Cost Model Cloud App Cloud App Cloud App 15

16 Contexts of Use Individual Technology Adoption DSS, MODACloudML Language, MODAClouds SLA & QoS, Monitoring, Runtime Data Synchronization, other capabilities by organizations or cloud management software... Standalone System for individual organizations embracing DevOps tools internally for multi-cloud testing or production Platform Scenarios as a standalone cloud broker providing services or in combination with third parties to extend their value proposition 16

17 Project evolution at a glance M1 M6 M12 M18 M24 M30 M36 Tool development Case studies development Integrated platform 17

18 Already Creating Impact Scientific Dissemination Research and Scientific Community Impact & Knowledge Transfer Standardization Oasis TOSCA & ETSI CSC Events and Conferences 18

19 Future Impact Scientific Dissemination Standardization Oasis TOSCA & CAMP ETSI CSC Social Media and Online Channels Community Building DevOps & IaaS/PaaS Providers Product Marketing Future Research Projects MODAClouds Products Under Exploration (M13-M30) 19

20 Thank you questions? 20

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