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VIrtualization & Cloud

BIF 2011 presentation
by

Jan Sedivy

on 7 June 2011

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Transcript of VIrtualization & Cloud

Virtualizartion Jan Šedivý reduce the cost,
increase availability (HA),
maintain security,
plan for disaster recovery (DR). CIO job? Virtualization Cloud How it works Savings Problems Planning for cloud deployment First steps Deployment Cloud & How is virtualization and federation helping?
Applications are multiplexed to dynamic computational resources.
Applications aggregation decreases the utilization variation. Run several applications on the same box
Virtualize – use 20% of available resources
Utilize the whole box 80% Run several applications on the same box
Virtualize – use 20% of available resources
Utilize the whole box 80% server hardware,
power & cooling,
server storage (central memory required),
networking (switches),
space (rack space),
administration savings. Expected savings How to estimate the savings VMware TCO Calculator


30 - 50% # of servers reduction
Pay Back on Investment 1-2 years Servers consolidation
HW requiements
License policy
Administration Understand well how much CPU, traffic, memory per application
What is the profile of your server/applications, utilization seasonality, average, peaks, … 
Run experiments  
Virtualization is not adding any computational power Must satisfy basic needs for virtualization
CPU
RAM
Disk
Networking
... OS, special SW, databases require licenses.
Licenses are based on number of processors.
Some companies do not support the SW when ran in virtual networks.
Each VM may need its license.
Installation-based licensing versus instance-based licensing.
This may higher up the total cost.
Use consultant analyzing apps and support for SW upgrades. Higher administration in virtualized networks - an app per server is easier to monitor then multiple apps.  
SW to monitor the servers and balance the load.
It requires tools and experience.
Patching, updating tools and management. Private cloud
Public cloud - economy of scale
Company business model
Technology On premise, in house management, planning, … similar to current model.
Virtual private cloud (VPC), private, isolated section, outsourcing to cloud providers - may have the advatages of public cloud. Cloud providers operate really large computational centers.
Thousands of computers per administrator.
Buy large quantities of cheap specialized HW (networking, UPS, computers, …).
Cheap electricity, water power station, PUE < 1.3. Upfront versus over time expenditure.
Easier to measure departments cost.
What is better 1 PC computig a job 100 hours or 100 PCs computing it 1 hour?

AWS simple monthly calculator. Managed by the service provider (SLA).
Elasticity - almost end less computational power - easy to grow.
HA - availability and geographical zones.
r reliability, n redundant components.
r(n) = 1-(1-r) * n Not all apps good for cloud, the legacy applications may be too complex to move to cloud

IaaS
PaaS
SaaS Virtual, private cloud. Large investment.

Currently big investments in on premise servers.
Private + public = hybrid cloud.

Backup to public cloud (encrypted).
Move some services to public cloud.
Take advantage of public cloud elasticity. Planning is similar to virtual private cloud.
Consolidation of servers.
Apps server profile to choose cloud provider.
Use consultants, too many choices today, difficult to compare.
Still in charge of many administration aspects - educated staff. Service provider takes care of the OS, platform patches, security.
Transparent scaling, load balancing
Easy to grow, scale.
Restriction on applications - they need to be written for PaaS. Easy for startup companies.
Converting current aps to SaaS can be difficult.
Provider, application dependency, lock-in Jan Šedivý

Department of Cybernetics CTU, Prague r (1) = 99%,
r (2) = 99.99%,
r (3) = 99.9999%
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