Combining Data Centre and Cloud Services in a Single Strategy

Transcription

1 Combining Data Centre and Cloud Services in a Single Strategy Data Centre Briefing May 12,2015 Bratislava, Slovakia

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4 With the virtualization of workloads and removing the dependence of applications on dedicated x86 hardware, many more options now exist for running workloads. But with each option comes further questions: 1. What are the security implications of sharing infrastructure? 2. What sort of control am I giving up? Can I live with it? 3. Will I save money? 4. Can my organization take full advantage of this new flexibility? Page 3

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14 The common misconception with cloud computing is that it directly saves money. This is not the case. By offering more flexible infrastructure that can scale up and, more importantly, scale down the organization can start to save money by using the flexibility. This goes back to the point about challenging the business process to take advantage of this flexibility. The SaaS, IaaS etc adoption figures represent the percentage of respondents that are using each technology. Case with Cycle computing. High Capacity compute environment for human genome mapping. 10,000 cores scaled in 1 hour, with a subsequent 8 hour run time. Cost if infrastructure was procured traditionally circa $5million, cost of using AWS for 9 hours $24,000. However ROI in 3 years if it was being used constantly. Page 13

15 Introducing the thought process behind Gartner s Bimodal IT research. Traditional mode 1 methods are very much ITIL driven, long implementation times verses rapid, continuous improvement Mode 2 deployments. Page 14

16 The example of road haulage vs Formula1 is not necessarily one of speed. The haulage industry is now heavily automated, with systems monitoring routes, cargo temperature and crew rest periods, making it far more efficient. The Formula1 example is developing new technology, tweaking the car between and even during races and constantly building on technological developments based on the car s performance. Page 15

17 The most prudent way to approach IaaS is to actually consider the application or workload rather than the physical infrastructure. Each application will have its own requirements for security, performance etc. It is important that these requirements are identified before looking at any cloud strategy. Page 16

18 This takes the information gained from the security and workload requirements and places them into different buckets. Common application deployments are described above Add HPC to Public Cloud reference Cycle Computing case study mentioned earlier Page 17

19 Key points to remember: Such Hybrid models take into account the legacy, control and security requirements of the individual applications Management platforms span both public and private cloud (MS System Centre, VM vcenter) DCIM has an emerging role, arguable eventually to be integrated into an overall management platform The role of IT Governance is required for Auditing purposes as well as avoiding cloud sprawl. Further integration is needed into existing business process, with the mindset that the existing business processes will need to be re-written to take advantage of the highly automated IT 2 mins to provision a server, 2 weeks to raise a purchase order. Page 18

20 IT will see new roles develop, from simply managing the infrastructure to managing the vendor relationships with the public and private cloud providers. IT s most important new role will be working with the lines of business in order to automate business process, speed up delivery and use IT to deliver Big Data, Mobile and Social solutions. Bi Modal IT will cover the Mode1 traditional IT, but develop a devops culture for the cloud services Page 19

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25 Emphasis should be not just on the IT, but also the business processes and systems currently used the key to cloud is standardization and automation. Page 24

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