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The Move to Hybrid Cloud
Benefits and challenges to IT Service Management
Matt Johnson, April 2015
Agenda
• Recap – what is cloud anyway?
• Deployment, Service models
• Essential characteristics
• The Hybrid cloud model
• Service Management in a hybrid cloud world
• Service Design: Capacity, InfoSec, Supplier Mgmt
• Service Transition: Change, Asset/Config, Release Mgmt
• Service Improvement: Service Measurement & Reporting
• Recommendations
Recap:
What is Cloud, anyway?
Recap: What is Cloud anyway?
Cloud Models
• Cloud Deployment models
• Public – multi-tenanted Internet-based service (AWS)
• Private – single-tenanted, closed-network service (vCloud)
• Community – multi-tenanted service aimed at a specific user group
• Hybrid – Combination of 2 (or more) cloud infrastructures
• Today’s focus is on Hybrid Cloud models
Cloud Models
• Cloud Service Models
• IaaS – compute, storage, networking services
• PaaS – managed platform that supports app development
• SaaS – managed software delivered via a web browser
• Today’s focus is on IaaS service models
Cloud Characteristics
• Essential Characteristics
• Broad Network Access
• Resource Pooling
• Rapid Elasticity
• Measured Service
• On Demand Self-Service
Essential Characteristics
Broad Access – addressing usability
• Traditional IT has historically been “siloed”
• Vertical deployments of application stacks for specific purposes
• Access to these silos is controlled independently
• Integration across services is limited
• This isn’t always a bad thing!
• Security, accountability, control are all increased
• But this approach…
• …has resulted in “planning blight”, and
• Leads to the use of “Shadow IT”
Broad access – more than one way…
Cloud
Service
Web console
Command
Line
REST API
Development
SDK
3rd party
integration
Resource pooling – addressing efficiency
• Consolidation of workloads
• More efficient use of infrastructure
• Higher availability (through HA)
• Lower infrastructure costs
• Comes at a price
• Less spare capacity to scale,
unless you purchase “spare”
• Failure of physical servers impact
more services
Resource pooling – benefits at scale
Organisation with
200 physical servers:
~ $6,500 per server
Cloud provider with
20k+ physical servers:
~ $1,000 per server
• Traditional architecture design
requires adopting one of two
approaches:
• Design for peak load – results in
unused capacity
• Design for average load – results
in over-subscribed capacity
• Virtualisation can help solve
compute capacity, but not:
• Network / storage capacity
• Scaling automation
Elasticity – addressing capacity
Elasticity (rapid scalability)
• Public cloud provides “infinite”
(from a typical customer’s
viewpoint) scalability
• Deals with the “hard” stuff that
virtualisation doesn’t:
• Scaling network/bandwidth
• Scaling storage
• Scaling automation
Measured Service – addressing purchasing
• IT has traditionally been a cost centre
• Pressure to reduce costs
• Expenditure linked to budget cycles
• Typically high CapEx for new projects
• IT increasingly adds value to business
• Showback / Chargeback are attempts to
represent this value to individual business
units
• Very difficult to apportion core infrastructure
costs (switching, network, etc.)
Measured Service – pay as you go
• Cloud services charge based on use
• Discount levels for bulk usage
• No minimum contract periods
• Detailed metrics, which can be categorised as required
The Hybrid Cloud model
Private + Public = Hybrid
Hybrid Cloud
• At its simplest, Hybrid cloud simply connects two (or more)
cloud services via defined mechanism(s)
• In practice, there are two distinct patterns for service delivery:
• Discrete – individual services reside on a single, specific cloud
• Integrated – individual services are managed & delivered
transparently across the hybrid cloud infrastructure
• Management services are similar:
• Discrete – each cloud is managed individually
• Integrated – combined management stack
Why Hybrid?
• Allows you to make best use of the strengths of each type
of cloud platform:
• Public Cloud (such as AWS):
• Scale, pace of innovation, elasticity, additional functionality, price
• Private Cloud (such as vCloud):
• Security, customisation, compliance, control
• Provides a transition path from fully on-premise services
• Great for pilot / PoC / development / DR service provision
• Lots of different justifications; in practice, it comes down to:
• Public cloud = agility
• Private cloud = control
Public cloud capability (AWS)
Private Cloud control (Eduserv)
• Secure Compute Cloud
• Government-accredited infrastructure (“IL2”, “IL3”)
• UK data sovereignty – UK owned and operated datacentre
• Specialist network connectivity (PSN, Janet, WAN, etc.)
• Capability for external audits
Hybrid Cloud – Management considerations
• Infrastructure
• Deployment tools are likely to be different to on-premise IT
• Be aware of subtle differences, esp. if you are used to vSphere
• Network connectivity
• Fast, low-latency links are important where services are integrated
• OS & application management
• Existing tools should be compatible, but…
• …may not be able to handle “cloud-native” designs
• Think about how you architect directory services across clouds
• Start simple!
Hybrid Cloud Service Management
Some considerations
Capacity Management
• Hybrid “Cloud Bursting” is (in most cases) a myth
• Scaling a service tier across a hybrid cloud is complex and costly
• Keep tiers within a single cloud (i.e. web on public, app on private)
• Try to place “bursty” services onto public cloud infrastructure
• Long-term stable services are a good fit for private cloud
• There’s no such thing as “spare” capacity on a public cloud
• You pay for anything that is running / being used
• Turn on when you need it, off when you don’t
• Public cloud is great for off-site storage (object/tape storage)
• Push (encrypted) backup data, with retention/lifecycle policies
Supplier Management
• One of the most important hybrid cloud
processes to understand
• Understand cloud providers T&Cs
• Unlikely you will be able to modify the terms
• Understand data retention, termination,
payment requirements
• Understand cloud provider service levels
• What SLAs are offered? What are the
exclusions?
• Typically SLAs are against the entire
infrastructure, NOT single VMs
Information Security
• Not always as clear-cut as private > public re. security
• Cloud providers existence depend on delivering secure services
• However legal compliance is sometimes out of their control
• For IaaS service models, OS responsibility is still yours
• Patching, AV, IDS/IPS, hardening, etc.
• Key aspect of hybrid cloud is integrated monitoring
• Similar tools across public/private clouds to protect OS and apps
• Control access to Cloud provider APIs / user accounts
• Enforce strong passwords, 2FA, access controls
• Difficult to overstate the importance of this requirement
Change Management
• Make use of cloud service tools
• Audit logs (such as AWS CloudTrail, Config)
• See if your existing toolsets can integrate with your public cloud
• Remember that some changes are cloud-initiated
• e.g. Auto-scaling of instances due to load / bandwidth capacity
• As with configuration management, it’s the auto-scaling policy
that should be under change control, not the instances
themselves
Asset & Configuration Management
• Cloud assets are often transient
• Created and destroyed based on demand requirements
• Auto-scaling instances are identical
• Cattle v Pets analogy
• Asset manage the template,
not the instance
• Disable management connectivity to
individual instances
• Version your templates/config
Release Management
• Approach depends on architectural design
• Cloud-native application:
• Continuous integration / deployment
• Blue / green deployment
• Rolling upgrades
• Enterprise applications
• Existing approaches can be used
• Beware of public cloud limitations (snapshots, rollbacks)
• DevOps approach is worth investigation
• Combine Development and Operations skills within a team
Service Reporting
• Public clouds provide great metrics
• But you have to work to integrate them with your systems
• And decide how much of them you want to share with end-users
• If you haven’t already, invest in a centralised data repository
• Lots of options:
• Open-source, such as Elasticsearch
• COTS, such as MS SQLAnalytics
• Cloud-based, such as SumoCloud or Splunk
• The benefits far outweigh the costs of implementation
Conclusions
Cloud is not just hype…
• …done right, Public cloud provides:
• Scale, elasticity, self-service, metered usage
• The agility to deploy new services rapidly with no CapEx
• However, Private cloud is still vital for:
• Sensitive services that are required to be hosted locally
• Stable, long-running service with known workloads
• Hybrid cloud allows you the best of both worlds
• But requires you to adapt your processes to accommodate both
• How far those adaptations go depend on how “bought-in” you are
• Lots of good practice in the market – make use of it!
QUESTIONS?
Thank you!
Matt Johnson
Principal Infrastructure Architect, Eduserv
Web: http://www.eduserv.org.uk/services/cloud/
Twitter: @mhj_work
LinkedIn: https://uk.linkedin.com/in/mhjwork

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The move-to-hybrid-cloud-itsmf-april2015

  • 1. The Move to Hybrid Cloud Benefits and challenges to IT Service Management Matt Johnson, April 2015
  • 2. Agenda • Recap – what is cloud anyway? • Deployment, Service models • Essential characteristics • The Hybrid cloud model • Service Management in a hybrid cloud world • Service Design: Capacity, InfoSec, Supplier Mgmt • Service Transition: Change, Asset/Config, Release Mgmt • Service Improvement: Service Measurement & Reporting • Recommendations
  • 4. Recap: What is Cloud anyway?
  • 5. Cloud Models • Cloud Deployment models • Public – multi-tenanted Internet-based service (AWS) • Private – single-tenanted, closed-network service (vCloud) • Community – multi-tenanted service aimed at a specific user group • Hybrid – Combination of 2 (or more) cloud infrastructures • Today’s focus is on Hybrid Cloud models
  • 6. Cloud Models • Cloud Service Models • IaaS – compute, storage, networking services • PaaS – managed platform that supports app development • SaaS – managed software delivered via a web browser • Today’s focus is on IaaS service models
  • 7. Cloud Characteristics • Essential Characteristics • Broad Network Access • Resource Pooling • Rapid Elasticity • Measured Service • On Demand Self-Service
  • 9. Broad Access – addressing usability • Traditional IT has historically been “siloed” • Vertical deployments of application stacks for specific purposes • Access to these silos is controlled independently • Integration across services is limited • This isn’t always a bad thing! • Security, accountability, control are all increased • But this approach… • …has resulted in “planning blight”, and • Leads to the use of “Shadow IT”
  • 10. Broad access – more than one way… Cloud Service Web console Command Line REST API Development SDK 3rd party integration
  • 11. Resource pooling – addressing efficiency • Consolidation of workloads • More efficient use of infrastructure • Higher availability (through HA) • Lower infrastructure costs • Comes at a price • Less spare capacity to scale, unless you purchase “spare” • Failure of physical servers impact more services
  • 12. Resource pooling – benefits at scale Organisation with 200 physical servers: ~ $6,500 per server Cloud provider with 20k+ physical servers: ~ $1,000 per server
  • 13. • Traditional architecture design requires adopting one of two approaches: • Design for peak load – results in unused capacity • Design for average load – results in over-subscribed capacity • Virtualisation can help solve compute capacity, but not: • Network / storage capacity • Scaling automation Elasticity – addressing capacity
  • 14. Elasticity (rapid scalability) • Public cloud provides “infinite” (from a typical customer’s viewpoint) scalability • Deals with the “hard” stuff that virtualisation doesn’t: • Scaling network/bandwidth • Scaling storage • Scaling automation
  • 15. Measured Service – addressing purchasing • IT has traditionally been a cost centre • Pressure to reduce costs • Expenditure linked to budget cycles • Typically high CapEx for new projects • IT increasingly adds value to business • Showback / Chargeback are attempts to represent this value to individual business units • Very difficult to apportion core infrastructure costs (switching, network, etc.)
  • 16. Measured Service – pay as you go • Cloud services charge based on use • Discount levels for bulk usage • No minimum contract periods • Detailed metrics, which can be categorised as required
  • 17. The Hybrid Cloud model Private + Public = Hybrid
  • 18. Hybrid Cloud • At its simplest, Hybrid cloud simply connects two (or more) cloud services via defined mechanism(s) • In practice, there are two distinct patterns for service delivery: • Discrete – individual services reside on a single, specific cloud • Integrated – individual services are managed & delivered transparently across the hybrid cloud infrastructure • Management services are similar: • Discrete – each cloud is managed individually • Integrated – combined management stack
  • 19. Why Hybrid? • Allows you to make best use of the strengths of each type of cloud platform: • Public Cloud (such as AWS): • Scale, pace of innovation, elasticity, additional functionality, price • Private Cloud (such as vCloud): • Security, customisation, compliance, control • Provides a transition path from fully on-premise services • Great for pilot / PoC / development / DR service provision • Lots of different justifications; in practice, it comes down to: • Public cloud = agility • Private cloud = control
  • 21. Private Cloud control (Eduserv) • Secure Compute Cloud • Government-accredited infrastructure (“IL2”, “IL3”) • UK data sovereignty – UK owned and operated datacentre • Specialist network connectivity (PSN, Janet, WAN, etc.) • Capability for external audits
  • 22. Hybrid Cloud – Management considerations • Infrastructure • Deployment tools are likely to be different to on-premise IT • Be aware of subtle differences, esp. if you are used to vSphere • Network connectivity • Fast, low-latency links are important where services are integrated • OS & application management • Existing tools should be compatible, but… • …may not be able to handle “cloud-native” designs • Think about how you architect directory services across clouds • Start simple!
  • 23. Hybrid Cloud Service Management Some considerations
  • 24. Capacity Management • Hybrid “Cloud Bursting” is (in most cases) a myth • Scaling a service tier across a hybrid cloud is complex and costly • Keep tiers within a single cloud (i.e. web on public, app on private) • Try to place “bursty” services onto public cloud infrastructure • Long-term stable services are a good fit for private cloud • There’s no such thing as “spare” capacity on a public cloud • You pay for anything that is running / being used • Turn on when you need it, off when you don’t • Public cloud is great for off-site storage (object/tape storage) • Push (encrypted) backup data, with retention/lifecycle policies
  • 25. Supplier Management • One of the most important hybrid cloud processes to understand • Understand cloud providers T&Cs • Unlikely you will be able to modify the terms • Understand data retention, termination, payment requirements • Understand cloud provider service levels • What SLAs are offered? What are the exclusions? • Typically SLAs are against the entire infrastructure, NOT single VMs
  • 26. Information Security • Not always as clear-cut as private > public re. security • Cloud providers existence depend on delivering secure services • However legal compliance is sometimes out of their control • For IaaS service models, OS responsibility is still yours • Patching, AV, IDS/IPS, hardening, etc. • Key aspect of hybrid cloud is integrated monitoring • Similar tools across public/private clouds to protect OS and apps • Control access to Cloud provider APIs / user accounts • Enforce strong passwords, 2FA, access controls • Difficult to overstate the importance of this requirement
  • 27. Change Management • Make use of cloud service tools • Audit logs (such as AWS CloudTrail, Config) • See if your existing toolsets can integrate with your public cloud • Remember that some changes are cloud-initiated • e.g. Auto-scaling of instances due to load / bandwidth capacity • As with configuration management, it’s the auto-scaling policy that should be under change control, not the instances themselves
  • 28. Asset & Configuration Management • Cloud assets are often transient • Created and destroyed based on demand requirements • Auto-scaling instances are identical • Cattle v Pets analogy • Asset manage the template, not the instance • Disable management connectivity to individual instances • Version your templates/config
  • 29. Release Management • Approach depends on architectural design • Cloud-native application: • Continuous integration / deployment • Blue / green deployment • Rolling upgrades • Enterprise applications • Existing approaches can be used • Beware of public cloud limitations (snapshots, rollbacks) • DevOps approach is worth investigation • Combine Development and Operations skills within a team
  • 30. Service Reporting • Public clouds provide great metrics • But you have to work to integrate them with your systems • And decide how much of them you want to share with end-users • If you haven’t already, invest in a centralised data repository • Lots of options: • Open-source, such as Elasticsearch • COTS, such as MS SQLAnalytics • Cloud-based, such as SumoCloud or Splunk • The benefits far outweigh the costs of implementation
  • 32. Cloud is not just hype… • …done right, Public cloud provides: • Scale, elasticity, self-service, metered usage • The agility to deploy new services rapidly with no CapEx • However, Private cloud is still vital for: • Sensitive services that are required to be hosted locally • Stable, long-running service with known workloads • Hybrid cloud allows you the best of both worlds • But requires you to adapt your processes to accommodate both • How far those adaptations go depend on how “bought-in” you are • Lots of good practice in the market – make use of it!
  • 33. QUESTIONS? Thank you! Matt Johnson Principal Infrastructure Architect, Eduserv Web: http://www.eduserv.org.uk/services/cloud/ Twitter: @mhj_work LinkedIn: https://uk.linkedin.com/in/mhjwork