Case Studies
Consumer/Retail
Size: Enterprise
Location: UK
Key Metrics
- Many different files, including Excel and CSV exports.
- 41 Days to Complete.
- No Discovery Agents.
- Multiple Business Case Scenarios.
- 4797 servers.
- 587 applications.
- 2116 database instances.
Objectives
- Consolidation and simplification of the application and data centre estate.
- Cloud first approach.
40% of technology spend saving.
Approach
- Rapid discovery and assessment and cloud strategy development.
Migration strategy and roadmap underpinned by applications and infrastructure data. - Rapid mapping of workloads to one of the 6R transformation methods.
- Quickly identifying quick wins enables the first wave of migrations to happen faster, providing valuable learnings to help shape the remaining migration waves.
- Creation of an entire business case including operations, infrastructure and facilities costs for comparison to future cloud costs.
Results
- Cost comparison for IaaS / VDI.
- Recommended approach of first applications to migrate.
- Migration ASIS and TOBE architectural model, including technology, treatments and landing zone identification for VDI workloads over 2 years.
- Migration risk analysis and mitigation report.
- Business case development including ASIS costs, migration costs and future operational costs including cloud infrastructure services, modelled over 5-year timelines.
Case Study
Cosmetics High Street Retailer
Size: Enterprise
Location: UK
Key Metrics
- 3 files uploaded and processed
- 9 month migration period
- 8 business case scenarios used
- Estate consisted of :
- 184 Virtual servers
- 27 Physical hosts / Hypervisors
Objectives
The customer wanted to understand the time and effort involved in moving their estate to the Microsoft Cloud, whilst also understanding what treatments would best be used allowing the migration to happen at speed, a requirement to move obsolete and EOL OS to reduce their technical debt and finally embrace Azure tooling to allow greater security.
Specific objectives:
- Migrate remaining assets to Public Cloud
- Improve security
- Reduce technical debt.
- Exit data centre
Approach
- The data provided allowed Junkshon to categorize the data between Prod and Non Prod and separate the workloads between Application and Database (MSSQL)
- Current up-to-date hosts, targeted for direct migration to an Azure VMWare solution
- Obsolete/EOL hosts targeted for O/S upgrade
- MSSQL hosts targeted for SQL in Azure VM or AVS VMWare VM’s
- Use of Azure tooling allows for increased security
- Removal of obsolete/EOL operating systems resulted in the reduction of tech debt.
- Assets located in existing DC’s are relocated to a managed Azure DC
Results
- Rapid Assessment (RA) was completed within 10 working days
- Created a detailed migration plan
- Detailed treatments to be undertaken
- A clear timeline for completion
- A detailed cost breakdown
Case Study
Luxury Fashion House
Size: Enterprise
Location: Global
Key Metrics
- 37 files uploaded and processed
- 6 business case scenarios were created for the customer
- Estate consisted of : 766 Servers 498 of these were in scope following a 2nd data ingestion
Objectives
- Microsoft had performed a previous analysis and wanted to double-check the costs given.
- Initially started with one site (Barcelona) with the intention of more following Junkshon undertook this work to understand the costs involved in moving their infrastructure using Microsoft Azure and AWS.
Approach
- Analysis of the data allowed for an Azure VM/Virtual Desktop and SQL Migration
- Azure native services could be utilised for Citrix, AD File & FTP, Exchange and Active MQ
Results
- Initial Rapid Assessment was completed over 20 days due to additional assessment requirements both assessments were completed in their scheduled 10-day timeline
- The migration period was set at 1 Year
- Market rate costs were used to give a clear cost model
- Costing between the two Hyperscalers (Microsoft and AWS) allowed a clear comparison to be gained
Case Study
Home Improvement Retailer
- Industry : Retail
- Size : Enterprise
- Location : UK
Key Metrics
- Cloud Adoption Plan in line with objectives
- Migration to cloud
- Cost Optimisation
- 5 days to complete
- Azure migrates data source
- 830 servers in the scope of the original RFP
- 5000+ servers for the entire estate
Objectives
Working with a large cloud provider as part of a team responding to RFP, we were asked to assist in providing migration costs for an initially 830 servers. Following the initial report, we were asked to provide migration costs and a future consumption report for the remaining 5000+ server estate .
Approach
- Support customers RFP process – cost modelling, scenario creation and ‘R’ analysis for treatments
- Primary migration method used was to look at re-host, primarily for Windows & Linux servers.
- Obsolete operating systems to be targeted for re-platform to a current operating system patch level prior to migration.
- Most labour-intensive categories will be the Solaris/AIX/TRU64/Unknown servers and were resourced accordingly.
- Oracle DB servers were targeted for a cloud DBaaS platform.
- Remaining servers were targeted for re-factor.
- Junkshon recommended a mass migration and a subsequent transformation and optimisation programme once complete.
Results
- 654 servers to rehost
- 81 servers to Replatform
- 95 servers to Refactor
- Cloud provider specific treatments
- 3-year migration plan in line with RFP requirement
- 1 year migration plan as the recommended timeline
- Total of 10 days to complete
Case Study
Retailer food, clothing and homeware
- Industry: Retail
- Size: Enterprise
- Location: UK
Key Metrics
- 22 different files, including text, csv and Azure subscription data streams.
- 40 Days to Complete
- No Discovery Agents
- Multiple Business Case Scenarios
- Migration Readiness Assessment & Operational Model Design
- 7503 Servers
- 744 Applications
Objectives
- Exit existing data centre, at a minimum cost and business disruption.
- Improve cloud operating model, including skills and certifications.
- Maintain and improve security controls across the cloud environment.
- Reduce existing Azure cloud footprint costs.
- Technology consolidation/optimisation.
- Improve technical debt position across the portfolio of assets.
Approach
- Discovery and analysis of existing applications & infrastructure.
- Migration Readiness Assessment covering the following areas: Governance, People, Operations, Security and Platform.
- Development of three migration scenarios, virtual services relocation, adoption of cloud native infrastructure services and adoption of cloud native.
- Migration strategy and roadmap underpinned by applications and infrastructure data.
- Application deep dives across several critical production application services.
- Assess existing cloud subscriptions and costs and identify cost reduction opportunities.
Results
- Rapid discovery, assessment, and cloud strategy development, enabling first migrations in under 45 days.
- Detailed business case including as-is base cost, migration cost and future cloud cost comparison for the three migration scenarios.
- Cloud readiness assessment and 30/60/90 day enablement plan.
- Operational model development for cloud operations.
- Migration blueprints for re-platform to PaaS, Refactor, and Rehost to VMWare on Azure.
- Identification of high-cost cloud services in existing subscriptions.
- junkshon provided a simple solution for identifying fixed IP addresses within configuration files for a minimal cost without utilising additional software.
Case Study
UK Supermarket
- Industry: Retail
- Size: Enterprise
- Location: UK
Key Metrics
- 55 different different files including text, csv, excel.
- unstructured data patterns.
- 40 Days to Complete
- No Discovery Agents
- Multiple Business Case Scenarios
- 4,312 Servers
- 422 Applications
- 1484 Database Instances
Objectives
- Change the focus from supporting infrastructure to enabling innovation.
- Reduce infrastructure support costs
- Reduce operational support costs
- Reduction in high severity incidents
- Avoid unnecessary capex spend
- Remove technical debt for hardware and system software.
- Ensure compliance with technical polices
Approach
- Rapid discovery and estate analysis
- Assessment of technical baseline including end of life status of apps and infrastructure
- Data assembly from 100+ data files and multiple data sources.
- Migration strategy and roadmap underpinned by applications and infrastructure data
- Rapid mapping of workloads to one of the six R transformation methods.
- Risk model development across Business case, Security, Operating Model and Migration
Results
- Rapid discovery and assessment and cloud strategy development enabling first migrations in under 45 days
- Development of business case, migration strategy and move groups
- Creation of CMDB data extract based upon the 100+ data files, data fed back to customer service management platform.
- Develop a migration plan to enable the customers to adopt the cloud in the most risk-adverse way possible without reducing the benefits’ realisation.
- Cloud adoption flight plan with resource model.
Case Study
European Consumer Goods Customer
- Industry: Retail
- Size: Enterprise
- Location: Europe
Key Metrics
- 17 different files, including xlsx and CSV exports.
- 15 Days to Complete
- No Discovery Agents
- Multiple Business Case Scenarios
- 3145 servers
- 724 applications
Objectives
The customer had started to migrate to the public cloud and requested further assistance in optimising this move further. Junkshon was asked to review and provide recommendations on further enhancing the transformation of existing technology infrastructure, reducing technical debt, quickly enabling a data centre exit in Asia, and continuing the modernisation of the estate.
Key objectives:
- Reduce DC operational costs
- Reduce Application Overhead
- Reduce Storage Costs
- Reduce Operating Expenditure Costs
- Identify & enable the proper selection of infrastructure and application treatments against the 6Rs
- Identify & enable the right selection of database treatments against the 6Rs
- Identify & recommend treatments for existing technical debt against the 6Rs
Approach
- Rapid discovery and assessment and cloud strategy development
- Migration strategy and roadmap underpinned by applications and infrastructure data
- Rapid mapping of workloads to one of the 6R transformation methods
- Application Insights of 4 critical business applications
- A deep dive of 6 applications including SAP, Cognos and Citrix.
- Fast identification of quick wins enables the first wave of migrations to happen faster, providing valuable learnings to help shape the remaining migration waves.
- Creation of a full business case including, operations, infrastructure and facilities costs for comparison to future cloud costs.
Results
- Cost comparison for IaaS / VDI
- Recommended approach of first applications to migrate.
- Migration ASIS and TOBE architectural model, including technology, treatments and landing zone identification for VDI workloads.
- Migration risk analysis and mitigation report.
- Business case development, including ASIS, migration, and future operational costs, including cloud infrastructure services, modelled over 5-year timelines.
- The customer had selected a partner to work with during the assessment, and the Junkshon approach provided further information to the partner to progress the migration.
