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Committed digital expertise
Use Existing Assets to Build a
Powerful In-house Cloud Solution
L’expertise digitale engagée
ABOUT DIMSI
Creation
2006
Expertises
Team size
23 experts on 3 location :
▪ Paris
▪ Lorient
▪ Lyon
Practices
Microsoft
Power Platform
Cloud & Services
Modern Apps
Lorient
Paris
Lyon
OUR VALUES
Grégoire
Lamodière
Cloud Solution architect
Founding Partner
Joffrey
Luangsaysana
Cloud expert
Partner
Magali
Pervan
Scrum Master Senior
Partner
A customer has contacted DIMSI to
make a global analysis of their
server compute usage.
After a move to the cloud end
2020, they lost control on budget
and are no longer able to a have
clear overview of their expenses
(iops, bandwidth, etc)
The Project
❑ There is no devops process, and
every comiter is free to define
his own methodology
❑ They still have legacy hardware
❑ They now want to get control
back on their usages and
expenses
General informations
❖ Medium sized business in Paris
(100 people)
❖ Digital Strategy consulting
❖ Existing hardware from 2013-2016
❖ Moved their workload to public
cloud between 2018 and 2020
Their Needs
✓ Keep costs under control
✓ Leverage existing Infrastructure
✓ Keep the same flexibility
Project Team
Grégoire Lamodière
Global Delivery
Magali Pervan
Scrum Master
Joffrey Luangsaysana
Cloud expert
Sophie P.
Partner, head of IT
Jean-Marc D.
Sysadmin
Navid Abdoul
System admin
Strategy and phases of our work
Initial
audit
Cloud usage
Hardware
Connectivity
Strategy
definition
Solution
implementation
Tests
FAAS
preparation
Go
Live
June July
2023 2023
5 days
Audit
10 days
Physical Setup and Cloudstack Implementation
7 days
Kubernetes with FaaS Implementation
5 days
Pipelines
5 days
Tests
5 days
Delivery
Planning
Total effort : 37 man.days
Step 1 : Audit
What are the customer cloud usage ?
▪ Microsoft Azure : Mainly
serverless, Function As a Service
How good is the on-premise infrastructure?
▪ 1G ISP bandwith
▪ 10G switches
▪ SSD and HDD storage arrays (QNAP 10
Gbe)
▪ IBM 3550 M5 with Intel Xeon E5 v4
Redundancy ?
Step 2 : Strategy
Hybrid Strategy
• Repatriate On Premise Poc, dev environment and
non critical workload to reduce cloud hosting costs
• Keep critical workloads, such as pre-prod and production that need geo clustering,
high level of redundancy and scaling in Azure
▪ Use CloudStack for its IaaS capabilities to leverage the hardware
▪ Use same tech on cloud and on premise: Kubernetes with Azure functions / AWS Lambda
▪ Rely on the Cloudstack Kubernetes service
❑
❑
❑
KVM installation (4 x Ubuntu hosts)
❑ 128 Go Mem
❑ 2 x E5v4 2,1 Ghz CPU (total 32 cores)
Step 3 : Hardware preparation & installation
❑
❑
❑
❑
❑
❑
Step 3 : Hardware preparation & installation
Available ressources
▪
▪
▪
▪
▪
▪
▪
CI/CD
▪ Smooth delivery from development to production environment
▪ Pipelines from Cloudstack Kubernetes to Azure Cloud / AWS
Costs and ROI
Quantity Type vCPU Memory Storage Unit. price Total price
8 IAAS Windows
(A8v2)
8 16 Gb 80 Gb 480 € 3 840 €
8 Function App
premium
(EP2)
2 7 Gb 250 Gb 319 € 2 552 €
TOTAL 80 vCPU 184 Go 2,64 Tb ~ 6 500 €
Azure workloads to repatriate to Cloudstack
Name Type Price
Electricity Opex 0,8 k€
Migration project Capex 30 k€
Maintenance Opex 1,2 k€
Windows licence Capex 4 k€
Additionnal onPremise pricing
Server consumption : estimated : 3 Kva
External monitoring : 50 €
Maintenance : 2 man.days / month
Windows Server licence : 500 € / VM
Costs and ROI
Month 1 Month 2 Month 3 Month 8 Month 12 Month 36
Full cloud 6500 6500 6500 6500 6500 234000
Rollup cost 6500 13000 19500 52000 78000 234000
Hybrid 36000 2000 2000 2000 2000 2000
Rollup cost 36000 38000 40000 50000 58000 106000
Break even : 8 months
Net. saving (36 months) : 128 k€
0,00 €
50 000,00 €
100 000,00 €
150 000,00 €
200 000,00 €
250 000,00 €
hybrid rollup cost Cloud rollup cost
Seemless use for
dev team
Ecological
mpact, extend the lifespan of
equipment,
Reduce hosting
costs
Better control on
hosting cost
L’expertise digitale engagée

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Use Existing Assets to Build a Powerful In-house Cloud Solution - Magali Pervan, Joffrey Luangsaysana, Grégoire Lamodière - DIMSI

  • 1. Committed digital expertise Use Existing Assets to Build a Powerful In-house Cloud Solution L’expertise digitale engagée
  • 2.
  • 3. ABOUT DIMSI Creation 2006 Expertises Team size 23 experts on 3 location : ▪ Paris ▪ Lorient ▪ Lyon Practices Microsoft Power Platform Cloud & Services Modern Apps Lorient Paris Lyon
  • 5.
  • 9.
  • 10. A customer has contacted DIMSI to make a global analysis of their server compute usage. After a move to the cloud end 2020, they lost control on budget and are no longer able to a have clear overview of their expenses (iops, bandwidth, etc) The Project ❑ There is no devops process, and every comiter is free to define his own methodology ❑ They still have legacy hardware ❑ They now want to get control back on their usages and expenses
  • 11. General informations ❖ Medium sized business in Paris (100 people) ❖ Digital Strategy consulting ❖ Existing hardware from 2013-2016 ❖ Moved their workload to public cloud between 2018 and 2020 Their Needs ✓ Keep costs under control ✓ Leverage existing Infrastructure ✓ Keep the same flexibility
  • 12. Project Team Grégoire Lamodière Global Delivery Magali Pervan Scrum Master Joffrey Luangsaysana Cloud expert Sophie P. Partner, head of IT Jean-Marc D. Sysadmin Navid Abdoul System admin
  • 13. Strategy and phases of our work Initial audit Cloud usage Hardware Connectivity Strategy definition Solution implementation Tests FAAS preparation Go Live
  • 14. June July 2023 2023 5 days Audit 10 days Physical Setup and Cloudstack Implementation 7 days Kubernetes with FaaS Implementation 5 days Pipelines 5 days Tests 5 days Delivery Planning Total effort : 37 man.days
  • 15. Step 1 : Audit What are the customer cloud usage ? ▪ Microsoft Azure : Mainly serverless, Function As a Service How good is the on-premise infrastructure? ▪ 1G ISP bandwith ▪ 10G switches ▪ SSD and HDD storage arrays (QNAP 10 Gbe) ▪ IBM 3550 M5 with Intel Xeon E5 v4 Redundancy ?
  • 16.
  • 17. Step 2 : Strategy Hybrid Strategy • Repatriate On Premise Poc, dev environment and non critical workload to reduce cloud hosting costs • Keep critical workloads, such as pre-prod and production that need geo clustering, high level of redundancy and scaling in Azure ▪ Use CloudStack for its IaaS capabilities to leverage the hardware ▪ Use same tech on cloud and on premise: Kubernetes with Azure functions / AWS Lambda ▪ Rely on the Cloudstack Kubernetes service
  • 18.
  • 19. ❑ ❑ ❑ KVM installation (4 x Ubuntu hosts) ❑ 128 Go Mem ❑ 2 x E5v4 2,1 Ghz CPU (total 32 cores) Step 3 : Hardware preparation & installation
  • 20. ❑ ❑ ❑ ❑ ❑ ❑ Step 3 : Hardware preparation & installation
  • 22.
  • 23. CI/CD ▪ Smooth delivery from development to production environment ▪ Pipelines from Cloudstack Kubernetes to Azure Cloud / AWS
  • 24.
  • 25. Costs and ROI Quantity Type vCPU Memory Storage Unit. price Total price 8 IAAS Windows (A8v2) 8 16 Gb 80 Gb 480 € 3 840 € 8 Function App premium (EP2) 2 7 Gb 250 Gb 319 € 2 552 € TOTAL 80 vCPU 184 Go 2,64 Tb ~ 6 500 € Azure workloads to repatriate to Cloudstack Name Type Price Electricity Opex 0,8 k€ Migration project Capex 30 k€ Maintenance Opex 1,2 k€ Windows licence Capex 4 k€ Additionnal onPremise pricing Server consumption : estimated : 3 Kva External monitoring : 50 € Maintenance : 2 man.days / month Windows Server licence : 500 € / VM
  • 26. Costs and ROI Month 1 Month 2 Month 3 Month 8 Month 12 Month 36 Full cloud 6500 6500 6500 6500 6500 234000 Rollup cost 6500 13000 19500 52000 78000 234000 Hybrid 36000 2000 2000 2000 2000 2000 Rollup cost 36000 38000 40000 50000 58000 106000 Break even : 8 months Net. saving (36 months) : 128 k€ 0,00 € 50 000,00 € 100 000,00 € 150 000,00 € 200 000,00 € 250 000,00 € hybrid rollup cost Cloud rollup cost
  • 28. Ecological mpact, extend the lifespan of equipment,