telecoms in the clouds issue 1
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Telecoms and the Cloud: Does it Make Sense?
Issue 1
www.alanquayle.com/blog
© 2011 Alan Quayle Business and Service Development
Outline
• We live in Hyped Times!
• Is History Repeating Itself?
• Why be a Cloud Provider?
• Background to Telcos and Cloud Computing
• Quick Market Review
• Conclusions
2
© 2011 Alan Quayle Business and Service Development
We’ve been here many times before.
Ridiculous hype!
Believe don’t think! Then reality hits!
Is Cloud Computing
any different?
Will history repeat itself?
Cloudosauras
Cloud Obituary
Cloud met its demise on January 1, 2013 with the catastrophic situation of
several nations’ bank and health records were published on the internet.
There’s only one way from the top!
Why Be a Cloud Provider?
Make a Lot of Money
Huge datacenters cost 5-7X less for computation, storage, and networking. Fixed software & deployment amortized over many users. Large company can leverage economies of scale and make money.
Defend a Franchise
What happens as conventional server and enterprise apps embrace cloud computing? Application vendors will want a cloud offering. For example, MSFT Azure should make cloud migration easy.
Attack an Incumbent
A large company (with software & datacenter) will want a beachhead before someone else dominates in the cloud provider space.
Leverage Customer
Relationships
For example, IBM Global Services may offer a branded Cloud Computing offering. IBM and their Global Services customers would preserve their existing relationship and trust.
Become a Platform
Facebook offers plug-in apps. Google App-Engine…
Leverage Existing Investments
Web companies had to build software and datacenters anyway. Adding a new revenue stream at (hopefully) incremental cost.
Why CSPs have a Role in Cloud Computing
• Shared infrastructure
• CSPs have long history of infrastructure, which is networked and interoperable via well-defined interfaces.
• Managed and hosted IT and communications services
• For a longer time CSPs have relied on vendors’ managed services type of professional services, which means that there is no inherent fear of outsourcing operative responsibilities.
• Data centres
• Data centres operations have been for long time the core of CSP production machines.
• Security, data integrity and trust
• These are the traditional key characteristics of telco business.
• Managed network services and end-to-end SLAs.
• CSPs are familiar with end-to-end SLA thinking and KPI based operations.
• Communications as a service
• Communications and connectivity is the bread and butter of CSPs.
• SME customer base
• The customer base of CSPs does cover SME, which means that they are familiar with the problems and issue within the segment.
Telco’s Enterprise – Consumer Pendulum
• 2005’s: Cloud Computing/SaaS Tech. Populism, Pay/Use, Web 2.0
• 2015’s: Enterprise 3.0 Collaborative Business Models Cloud federated master data and distributed business transactions
75’s: ISDN Telephony
1st Gen. Remote Home Workers
•
90’s: Multimedia PCs, Cell Phones Digital Kids, Consumerization IT
•
2010’s: Managed Devices, Media
Convergence Managed Desktops, X-Internet
•
• 65’s: Mainframes in Data Centers Enterprise drives Tech Awareness
Consumer Enterprise
• 80’s: PC on corporate desktop IT education of working generation
Innovators Converged Personas
Mass Adoptors Consumer Specific Personas Enterprise
Comparison of Operator Cloud Services
Operator Cloud Services Features
BT Global Services CaaS Hosted UC, BPOS, Ribbit, Manages Security
Verizon Business EaaS Computing, MSS, Enterprise Mobility (bought Terremark
and Cybertrust)
NTT Data IaaS, SaaS Bought Value Team, Dimension Data, Keane, Intelligroup,
Integralis
Telefonica IaaS, SaaS Security, servers, mobile, cloud app store
Orange Business Services
ITaaS Vertical / M2M, 20+ applications inc. MS, Sage, SAP
AT&T IaaS, PaaS Synaptic Hosting / Compute, Oracle
T-Systems IaaS, SaaS SAP, Dynamic SAP
MPLS SLA
Data Center SLA
Mind the SLA Gap!
Beware Lock-In
Workloads ready for Cloud Computing
• Analytics
– Data mining, text mining or
other analytics
– Data warehouses or data
marts
– Transactional databases
• Business services
– Customer relationship
management
(CRM) or sales force
automation
– Enterprise resource planning
(ERP) applications
– Industry-specific applications
• Collaboration
– Audio/video/Web
conferencing
– Unified communications
– VoIP infrastructure
• Desktop and devices
– Desktop
– Service/help desk
• Development and test
– Development environment
– Test environment
• Infrastructure
– Application servers
– Application streaming
– Business continuity/
disaster recovery
– Data archiving
– Data backup
– Data center network capacity
– Security
– Servers
– Storage
– Training infrastructure
– Wide area network (WAN) capacity
Conclusions Business
Applications
Infrastructure Software
Data Center
VPN Email
CRM Mobile
Its what your mother told you, “Don’t put all your eggs in one basket”
Desktop
Analytics
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