4. Recent Customer Acquisition
Sl No
Services
1
Bank of America
Colocation
2
Standard Chartered Bank
Colocation
3
GRSE
Primary upgrade and composite DR
4
Innoworth
Hadoop analytical platform
5
Disney-UTV
Mongo-DB based muti-media commerce
6
FIS
Mahila Bank Core Banking DC_DR
7
Transunion
Credit Rating Platform
8
ING Financial Services
PoS and Loan support Platform
9
VISA
Mobile Payment Gateway
10
Overnite Express
Logistics Platform
> 2000 client
Client Name
5. What should be the
higher aim of our
company?
• An indispensable partner for
e-age
• The benchmark for
accountability
• A provider of bespoke
solutions
11. The Realities of a DC
Technology obsolescence
Spiralling power costs
Legacy systems
Ill-fitting design
12. Where Does it Go? Data Center Energy Use
Typical Data Center Energy End Use
Power Conversions
& Distribution
100 Units
35 Units
Cooling
Equipment
33 Units
Delivered
Server Load
/Computing
Operations
10 Units
Used
1
13. Electricity Flows in Data Centers
HVAC system
local distribution lines
lights, office space, etc.
uninterr
uptible
lo ad
to the building, 480 V
UPS
PDU
computer racks
backup diesel
generators
UPS = Uninterruptible Power Supply
PDU = Power Distribution Unit;
13
computer
equipment
14. Maximum space. Minimum energy
Columns designed to maximize
space, air and people flow
Server Room Layout
16. Utility
transformer
PUE
DCiE
PP-Gen
service
Generator
block
Heaters &
lighting
Lighting,
Exit lights,
BMS,
EPMS &
security
STS
DCiE
Data
center
Misc. support
Data center power usage effectiveness
(PUE)
Mech
Power
(Data Center infrastructure Total data
center
Efficiency)
power (kw)
UPS
PDUs
Mech. Swgear
1
Data center
CRAC units,
AHUs, Chillers &
Dry coolers
RPPs
Power
To IT
House
Panels
Lighting
panel
IT
Power
In
Misc
Power
House
Power
Main service
(Power Usage Effectiveness)
House
power
(kw)
Total data
center
power (kw)
Main
Power
Emergency
generator
IT-critical
load
PUE
Mech. support
Total data center power (kw)
Total IT power (kw)
17. PUE, DCiE, and DCE
PUE=FP / IP = XX
DCiE=1/XX= XX %
Proces
sing
load
XX w
Total
input
power
XXX w
Energy Audit &
Optimization
Report
HVAC
XXX w
Electrical
losses
(UPS,
PDU, DIST)
XX w
Misc.
XX w
Server fans
XX w
PSU
XX w
VR
XX w
Server losses
XX w
DCE = Data Center Efficiency is defined as the product of:
DCiE (Data Center infrastructure Efficiency): IT energy / Data Center Energy
ITeE (IT electric Efficiency): server IT components energy / server input energy
ITuE (IT utilization Efficiency): server time used / server time powered
20. Return air
Return air
PAC Unit with WATER
COOLED CONDENSER
Supply Air
Supply Air
Supply Air
Water cooled condenser
Supply Air
Return Water
Supply water
21. Water cooled DX PAC along with VFD
Provided: Variable frequency drive to PAC
evaporative cooling coil fan motor
PAC
VFD
22. Savings from the UPS
-- > 3% power
savings in
conversion with
Delta
conversion UPS
Refer White Paper 92 - APC
24. Power Supply Savings
Facebook engineers
determined that the total loss
of energy was 11% to 17% up to
each server.
By moving to a DC-based data
center power distribution
system and making a number of
other changes, this loss is
reduced to 2% up to the server.
Benefits of server power supply efficiency
By Scott Lowe
26. Guaranteed power efficiency
• Heavy investment in energy
efficient system
• Cost of PUE over 1.7 will be
borne by us
• Every 0.1 unit saved in PUE
on a 1 MW system can save
you Rs 60 lakhs per annum
1.42
With a PUE of 1.42, we are the most power
efficient datacenter in the country
27. Cloud Delivery Rises to the Challenge
• Business feels
constrained by IT, not
enabled
• TCO and ROI metrics
always in doubt, Value
questioned by business
Traditional IT
Delivery
• Business and IT craft
value together, shared
focus and goals and new
business models
• Shift from Cost Center to
business transformation
focus for IT
Cloud-focused
IT Delivery
28. Redundant Equipment
Sample Setup of HA Application
Internet
Router
Firewall
Load Balancer
Front Server
Front Server
DB Server
DB Server
IP SAN
Storage
Backup
Network
5 Mbps + Local Loop = 6 Lac
Uptime
Router Cisco 2811 = 1.6 Lac 98.5%
CTRLS SOL
Firewall ASA 5510 = 2.4 Lac
Hardware on Opex
Model, shared = 6 Lac
Load Balancer storage,
Load balancer, managed
Server Hardware (4) = 10 Lac
and hosted
Uptime
IP SAN Hardware = 6 Lac
99.9%
Tape Library
= 5 Lac
System Admin TCO = 14 Lac
Cost
<30%
29. Brick Servers - Scalability
Bandwidth
Firewall Layer
Load Balancer Layer
Applicaton
and
Database
Server
Layer
Backup and
Storage Layer
Internet
31. CtrlS – Secure Cloud
Firewall
Load Balancer
Web / Proxy Layer
Backup/ Restore
Scalability
Max 72
hours to
restore DR
site
Application / DB Layer
Hypervisor
Attached
Storage
Availability Zone 1 (Mumbai)
Storage
Availability Zone 2 (Hyderabad)
33. Zero Data Loss
with 3 Way DR
Firewall
In HA
Scalability
Firewall
Scalability
Hypervisor
Scalability
Scalability
Hypervisor
Scalability
FC Switch
(FC based splitting)
Prod Luns
Extended Network
Prod and
local journals
FC Storage CtrlS DC
GLBS
Hypervisor
Scalability
Fibre
RecoverPoint
Channel/WAN
appliance
Journals
FC Storage CtrlS Near DC
RecoverPoint
appliance
FC Switch
(FC based splitting)
Journals
FC Storage CtrlS Far DC
34. CtrlS – Maximum
Availability Architecture
Internet
VM
4
VM
VM
2
3
Hypervisor
Server
Server
VM 2
Storage Block
VM 4
Storage Block
VM
VM
3
2
Hypervisor
VM
1
Server
Server
Server
VM 1
Storage Block
VM 3
Storage Block
VM
1
VM
4
Server
VM 1
Storage Block
VM 3
Storage Block
VM
VM
2
3
Hypervisor
VM
1
Server
Server
Server
VM 2
Storage Block
VM 4
Storage Block
VM 3
Storage Block
Async Block Replication
Zone B – Storage
Region I
VM
4
VM 1
Storage Block
VM 2
Storage Block
VM 4
Storage Block
Sync Block
Replication
Global Load
balancer
Zone A Storage
Far Site Storage
Far Site
Backup Image
Region I Availability Zone B
Stack
Global Load
balancer
UTM
VM 1
Image Backup
VM 2
Image Backup
VM 4
Image Backup
VM 3
Image
Backup
Near Site – Storage
Region II
Region II Availability Zone A
Stack
UTM
Region I Availability Zone A
Stack
UTM
35. CtrlS – Maximum
Availability Architecture
Edge
Server
Content
Edge
Server
Edge
Server
Edge
Server
Content
Distributi
on and
Caching
Cloud Files
Edge
Server
Edge
Server
CtrlS Global Data
Network
Edge
Server
Edge
Server
Edge
Server
36. CtrlS – Maximum
Availability Architecture
Internet
VM
4
VM
VM
2
3
Hypervisor
Server
Server
VM 2
Storage Block
VM 4
Storage Block
VM
VM
3
2
Hypervisor
VM
1
Server
Server
Server
VM 1
Storage Block
VM 3
Storage Block
VM
1
Server
VM 4
Storage Block
Sync Block
Replication
VM 3
Storage Block
Global Load
balancer
VM
VM
3
2
Hypervisor
VM
1
Server
Server
VM
4
Server
VM 1
Storage Block
VM 2
Storage Block
VM 2
Storage Block
VM 4
Storage Block
VM 3
Storage Block
Async Block Replication
Zone B – Storage
Region I
VM
4
VM 1
Storage Block
Zone A Storage
Far Site
Backup Image
Region I Availability Zone B Stack
Global Load
balancer
UTM
VM 1
Image Backup
VM 2
Image Backup
VM 4
Image Backup
VM 3
Image
Backup
Near Site – Storage
Optional Recovery
using VM Image and
Folder Level Backup
Far Site Storage
Region II
Region II Availability Zone A Stack
UTM
Region I Availability Zone A
Stack
UTM
48. The path to e-collaboration
e-Collaboration
The Industry:
You
7. Collaborative insight
& product development
6. Collaborative sales &
promotion planning
5. Collaborative supply chain
management
4. Collaborative transaction
management
3. Item synchronization
2. Single item registry
1. Common data standards
Source: A.T.Kearney for GMA - FMI
Time / Degree of trust
& complexity
Benefits
CIBIL, NSE, BSE, CRISIL, CTQ, PCI
49. UIDAI
“Visa, UIDAI, Axis Bank, HDFC Bank, ICICI Bank, Indian Overseas Bank and the State Bank of India
to solve a long-standing problem of how to authenticate those citizens without an existing bank
account or adequate forms of identity to prove they are who they say they are. This problem has long
hindered the ability of banks to expand and of consumers to pay safely and securely.”
http://www.4-traders.com/VISA-INC-2277468/news/Visa-Inc-Visa-Launches-New-Payment-Service-in-India-%96-Links-Indian-UniqueIdentification-with-Visa-15590927/
50. Green IT Trends
Item
Present
Emerging
IT Landscape
Engineered
Social
Collaboration
Within Enterprise
World Wide
Data
Consistent
Near Consistent
Sector Trends
Sampling
Indices based
Reputation
Vertical Specific
World Wide
Application
Long Deployment
SAAS
Workforce
Static
Any Time Any Where
Analytics
Cuboid based
Co-relation based
Management
Multiple Reports
Single Dashboard
51. Team v/s Group
Full scale
automation
Total
Ownership
Cost
Optimization
Network &
Security
10
reasons
why we offer a truly
differentiated experience
compared to the
big boys of
Indian IT
Tried &
Tested SOP
CoE’s
Cloud
capabilities
Underlying
Infrastructure
Relevant experience
52. CoE structure
Promotes expertise based on cumulative
knowledge pool
VS
SME structure
Expertise based on industry segmentation is good
for software business; not for infrastructure
business
54. Legacy Application Support
ERP & CRM
Middle Ware
Workflow &
Collaboration
Database
Platforms
Backup
SAP
Apache
Filenet
Oracle
AIX
Symantec
EBS
IIS
Ariba
MS SQL
HP-UX
Legato
Seibel
Tomcat
Alfresco
DB2
Solaris
Tivoli
Primavera
Websphere
E-commerce
Mumps
EMC
BrightArc
Dynamics
Sharepoint
Lotus Notes
MySQL
HP
Serv
Navision
Weblogic
Exchange
Postgres
IBM
Share Point
Qmail
Netapp
55. Free assessment of your cloud
readiness
What can we do for
you?
Consultative workshop on
“cloud in your organization”
The “TCO Proof” to discover
your TCO benefits with CtrlS
cloud
56. We understand it is a big task to
secure & manage your IT
infrastructure.
Whether you are taking a colocation
space or Services you need to know
that your data is safe.
Rest assured, you have a strong &
secured foundation.
anilnama@ctrls.in
Notas do Editor
How can you think your way through some of those challenges -- I’ve personally seen hundreds of client create dramatic results when embracing the Cloud and taking all of those challenges and business pressures and start to use that pressure to form diamonds out of coal – taking the challenges inherent in application delivery and making them a weapon to use in their fight for systems and processes that show business value and increase user adoption.