Platform Capabilities

Assessment

Gain rapid, accurate insights into your IT estate - you give us the data, we give you the insights. Fast, Accurate and Intelligent.

Planning

Use the MCDB to manage your migration and cloud adoption programme, tag your estate and group by scenario and waves.

Governance

Manage your cloud adoption programme and track progress and status directly inside the MCDB and dashboards.

Optimisation

Finding ways to run applications in the cloud, performing work or providing value to the business, at the lowest possible cost, and using cloud providers as cost-efficiently as possible.


Platform

Features

Focused on what matters the most

Quick and easy access to all your mission-critical data in one place.It is straightforward to identify, for example, resources that are supporting your different application services.Turns machine-generated data into human-readable insights.Monitor the cost of each cloud resource and find out how you can optimise them.A platform that everyone can use creating a single source of truth.

Why choose junkshon?

Experience

The junkshon platform is based upon decades of enterprise experience from a team that has designed, built and run large enterprise I.T estates.

Cloud First

Built from the ground up, not a re-purposed application.

Fast

Upload your existing I.T estate information to get results delivered in days not months.

Disruptive

Disruptive engagement and commercial model.


Case Studies

Industry

Financial Services

Retail

Transport

Telecommunications

Use Case

Rapid Migration

Application Modernisation

Data Centre Exit

Move Cloud Provider


Partners


© junkshon 2022. All rights reserved.

Contact Us

If you would like to learn more about or platform and services or just for a chat about all things cloud, complete the form and one of our junkshon Cloud Architects will contact you.



Platform Pricing & Plans

Platform subscriptions to suit your business needs, no long-term license commitment, with business support built in.

Platform & Business
Support

£9000
Per/Month


  • Data Ingestion Engine

  • Migration Configuration Database

  • Estate Analytics Dashboard

  • Cloud Landing Zone Calculators

  • Migration Treatment Analysis

  • Application Dependencies

  • Application Surveys

  • Customer Admin Access

  • Virtual Support BoT

  • 1 day per month, business support


Platform & Business
Support Plus

£10,800
Per/Month


  • Data Ingestion Engine

  • Migration Configuration Database

  • Estate Analytics Dashboard

  • Cloud Landing Zone Calculators

  • Migration Treatment Analysis

  • Application Dependencies

  • Application Surveys

  • Customer Admin Access

  • Virtual Support BoT

  • 3 days per month business support


- Minimum three-month subscription
- All prices exclude taxes
- Junkshon subscription is required to access platform services



Services

Powerful service packages, built by junkshon and delivered by our certified partners.

Rapid
Assessment


Build high-level cloud migration assessment with programme economicsProvided by one of our Certified platform partners.


Rapid Assessment


  • Sprint 1 – Start-up, Objectives and Engagement:

  • Sprint 2 – IT Estate Data Gathering and Processing (MCDB creation)

  • Estate Analytics Dashboard

  • Sprint 3 – Scenario Creation and Treatment Assessment

  • Sprint 4 – Cloud Economics – future landing zone calculations (with comparisons if required) per scenario/treatment targeting IaaS, Storage and / or DBPaaS

  • Sprint 5 – Planning and Resourcing – high-level flight planning by scenario and programme resource modelling

  • Sprint 6 – Business Case and Assignment Report, including directional business case (cost models based on overall flight plan and programme cost definition)


Rapid Assessment Outputs


  • Data capture report covering the scope and baselined data volumes

  • 6R migration treatment assessment report covering volume analysis, required actions, landing zone targets and potential next steps

  • Proposed technology strategy and roadmap covering 6R treatments and methods

  • High-level flight plan based on scenario analysis plus programme resourcing recommendations

  • Migration and cloud economics focused on primary customer objectives and IaaS, Storage and DBPaaS options

  • High-level directional business case

  • Programme recommendations and next steps with supporting rationale


Cloud Strategy Assessment


Build a comprehensive IT estate picture and 360-degree cloud strategy.Provided by one of our Certified platform partners.


Cloud Strategy Assessment


  • Sprint 1 – Start-up, Objectives and Engagement

  • Sprint 2 – IT Estate Data Gathering and Processing

  • Sprint 3 – Scenario Creation and Treatment (6R) Assessment

  • Sprint 4 – Application Analysis - deep dives into three applications or one business service, or two in-flight project areas, supported by structured Applications Surveys where appropriate

  • Sprint 5 – Cloud Economics – future estate calculations (with landing zone comparisons if required) per scenario/treatment targeting IaaS, Storage and / or DBPaaS and other IT workload service options

  • Sprint 6 – Planning and Resourcing – wave planning based on treatment analysis, custom programme resource modelling and risk report

  • Sprint 7 – Business Case and Assignment Report – directional business case (monthly cost models based on the overall flight plan and programme cost definition) and As-Is estate cost comparisons to determine optimal ROI. Strategy options and recommended next steps


Cloud Strategy Outputs


  • Objectives and associated critical success factors

  • Data capture report covering scope and baselined data volumes

  • Custom scenario report including scope definitions

  • 6R migration treatment assessment report, including evaluation of treatment options and recommendations as required

  • Applications analysis for selected deep dive areas and next step recommendations

  • Technology strategy and roadmap, including 6R treatments and methods

  • High-level flight plan based on scenario and wave planning analysis to determine optimal migration approach based on high-level customer constraints, such as rate of change limitations and business peak restrictions. Risk report

  • Cloud and migration economics analysis focused on the customer's primary objective. IaaS, Storage, PaaS and other IT workload service options are considered alongside technical debt remediation and optimisation opportunities

  • Directional business case, including As-Is estate, cost comparisons to determine optimal ROI (overall and year by year)

  • Overall cloud strategy options, recommendations and next steps with supporting rationale


Technical Debt Rapid Assessment


Build a high-level technical debt assessment with programme economicsProvided by one of our Certified platform partners.


Technical Debt Management Assessment


  • Sprint 1 – Start-up, Objectives and Engagement

  • Sprint 2 – IT Estate Data Gathering and Processing

  • Sprint 3 – Scenario Creation and Treatment (6R) Assessment

  • Sprint 4 – Cloud Economics – future estate calculations (with landing zone comparisons if required) per scenario/treatment targeting IaaS, Storage and/or DBPaaS and other IT workload service options

  • Sprint 5 – Planning and Resourcing – wave planning based on treatment analysis, custom programme resource modelling and risk report

  • Sprint 6 – Business Case and Assignment Report, including directional business case (monthly cost models based on the overall flight plan and programme cost definition)


Technical Debt Management Outputs


  • Data capture report covering scope and baselined data volumes

  • 6R migration treatment assessment report covering volume analysis, required actions, landing zone targets and potential next steps

  • Technology strategy and roadmap covering 6R treatments and methods High-level flight plan based on scenario analysis plus programme resourcing recommendations focused on technical debt remediation.

  • Migration and cloud economics focused on primary customer objectives and IaaS, Storage and DBPaaS options

  • High-level directional business case

  • Technical debt remediation programme recommendations and next steps with supporting rationale




Our Process Framework

Learning


Once loaded, the data is analysed for patterns and gaps by comparing it to junkshon's library of exemplar data. The learning algorithm is used to fill gaps with weighted certainty to inform later steps in the process. At this stage junkshon can also filter out applications determined to be out of scope or left until later waves of migration.

Apps Surveys


Dependency mapping is the second step in the process. A lot can be determined from a little data. The more junkshon can understand about the application dependencies (libraries, services, startup routines etc.) and interfaces (external data, databases, ecosystem etc.) the more advanced and automated migration execution treatments can be used.

Weighting


When junkshon has understood each application and infrastructure instance, a series of weightings are given to each one. The weightings include complexity, risk, uncertainty, BU criticality, change agent needed, cost and reward factors and rate of change. The weightings create a benchmark score for each instance. In the later steps the benchmarks are added together in each group to create a seeding for the scheduling algorithm.

Grouping


Migrating tightly coupled application components and related instances in the same wave is key to reducing performance issues, latency, the downtime required and impact on dev and test teams. junkshon's grouping algorithm generates the optimal groups of applications and configuration items in each wave.

Migration


Not all migrations to cloud should be lift and shift into IaaS. Finding the highest ratio of benefits to change effort is achieved by matching a hierarchical list of migration types to your applications. Preferred migration types are: App to SaaS, Containerisation and web, middleware and database to PaaS. New cloud services keep being launched which is why we keep updating our migration types and tuning junkshon's algorithm.

Resizing


Most infrastructure is under-utilised. One of the greatest contributors to cost savings is resizing when you migrate to cloud with its elastic scaling capabilities. junkshon contains a right-sizing function to plan the capacity needed based on existing usage data. AWS, GCP and Azure have a plethora of compute and storage offerings of different price points and performance attributes. junkshon maintains a realtime link to multiple cloud service catalogues to feed the right-sizing and pricing calculation.

Scheduling


All of the previous steps come together in the sequencing function to produce the migration schedule. junkshon's migration algorithm recursively generates a weighted sequence of application groups by change window. A host of business, operational and technical variables can then be used to refine the plan as the migration programme is executed. Variables such as business criticality of application, release cadence or change freezes can be used to tune the order of the plan. Technical factors such as location, platform, DC facility exit plans or end of life upgrade projects can be used to reprioritise the schedule. The schedule can also be refined to ensure a percentage of apps move to cloud or a certain date, a saving figure or acceptable risk profile is achieved.




The Team

Martin Southgate
CEO &
Co-Founder

Nicola Mason
COO &
Co-Founder

Justin Campbell
CTIO &
Co-Founder

Chris Johns
Programme Migration
Architect

Jamie Campbell
Front End Developer

Jon Nash
CFO



Case Studies


Customer


Industry: FSI
Size: Enterprise
Location: UK

Packaged Service Offering

  • Cloud Strategy Assessment

Key Metrics

  • 15 Days to Complete

  • No Discovery Agents

  • Modelled against 5 Transformation Scenarios

  • 4657 Servers

  • 19 OS types

Objectives


  • Develop the skills of our people and enable them with modern engineering practices to provide a better work experience.

  • Accelerate our relentless customer focus by transforming business services with modern cloud capabilities, delivering new products faster and with greater automation efficiencies.

  • Progress our ESG targets and reduce our carbon emissions with aspirations of becoming the first net-zero FSI.

  • Exit all self-managed data centres within a fixed period and ensure sustainability in the local area.

  • Reduce our Total Cost of Ownership

  • Improve security controls across cloud environments.

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 R transformation methods

  • Migration Readiness Assessment considered 3 scenarios covering the following areas, Modernisation, timescale, people, governance and removal of technical debt.

  • 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 an entire business case including operations, infrastructure and facilities costs compared to future cloud costs.

Results

  • Rapid discovery, assessment and cloud strategy development achieving business approval and funding secured in 5 months.

  • Migration AS-IS and TO-BE architectural model, including technology, treatments and landing zone identification.

  • Migration risk analysis and mitigation report. Highlighting the investment needed to be made in RLG people, including business-wide basic cloud skills for every role.

  • TCO cost breakdown between on-premises and a 3 and 5-year lift-and-shift to cloud.

  • Identify the migration workloads to be factored into the flight plan and enable cloud-native services.

  • From the Junkshon output, the financial modelling could predict when an expected ROI would occur.

Customer


Industry: Telco
Size: Enterprise
Location: Global

Packaged Service Offering

  • Cloud Strategy Assessment

Key Metrics

  • Twelve different files, including text, CSV, and excel.

  • ServiceNow extracts.

  • 45 Days to Complete

  • No Discovery Agents

  • Multiple Business Case Scenarios

  • Migration Readiness Assessment Action Plan

Objectives


  • The customer was struggling with discovery and 6R's assessment and migration approach and wanted to accelerate mass migration.

  • Exit and close old data centre facilities

  • Reduce infrastructure technical debt

  • Optimise cost of infrastructure service provision

  • Standardise infrastructure footprint

  • Create a foundation for transformation projects, including the adoption of cloud-native technologies

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 six R transformation methods

  • Fast identification of quick wins enables the first wave of migrations to happen faster, providing valuable learnings to help shape the remaining migration waves.

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

  • Adoption of migration hub and Cloud Endure using junkshon migration grouping extract

  • Adoption of improved security access model

  • Identification and execution of  mode-2 proof of concepts in parallel to mode-1 re-hosts.

Customer


Industry: Consumer/Retail
Size: Enterprise
Location: UK

Packaged Service Offering

  • Cloud Strategy Assessment

Key Metrics

  • Many different files, including xlsx 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 DCG 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.

Customer


Industry: FSI
Size: Enterprise
Location: UK

Packaged Service Offering

  • Cloud Strategy Assessment

Key Metrics

  • 50+ files uploaded and processed

  • No discovery agents use

  • Four business case scenarios created

  • 3690 Servers

  • 407 workloads

Objectives


  • Migrate all application workloads on EOSL Windows 2008 to the public cloud where possible

  • Migrate workloads onto supported platforms where possible

  • Achieve Regulatory Compliance

  • Eliminate windows 2008 (EOSL Jan 2023 on-premise) and MS SQL 2008 estate (July 2022 on-premise)

Approach


  • Migrate server workloads AS-IS onto supported Windows OS for quick results.

  • Utilise the longer Windows 2008 EOSL for non-database server workloads.

  • Optimise & modernise workloads post migration

  • Additional 12 months of support when migration is completed in Azure.

Results

  • Cloud Strategy Solution was completed in an 8-week elapsed period from Oct 2021 to Jan 2022.

  • Option 1: Azure VM & SQL Mass Re-platform over 6 Months

  • Option 2: Azure SQL Re-platform by July 2022, Azure VM Re-platform by Jan 2023 (Recommended approach)

  • Option 2 Supplement 1: Applied to All 407 Workloads on Azure

  • Option 2 Supplement 2: 89 Specific Workloads on Azure

  • Our recommended migration approach requires a re-host/‘lift & shift’ to Azure VM’s initially with a subsequent re-platform onto an upgraded Azure VM O/S for non-SQL applications only. This enables to utilise the extended Windows O/S support in Azure for windows servers up to Jan 2023 and allows to focus on the SQL-based applications only for Q1/Q2 2022

Customer


Industry: Media
Size: Enterprise
Location: Global

Packaged Service Offering

  • Cloud Strategy Assessment

Key Metrics

  • 30 different different files including text, csv, excel and ServiceNow and vSphere extracts.

  • 90 Days to Complete

  • No Discovery Agents

  • Multiple Business Case Scenarios

  • Migration Readiness Assessment Action Plan

  • 38,928 Servers

  • 1550 Applications

Objectives


  • Optimise cost of infrastructure service provision

  • Improve Infrastructure Availability and Business Continuity

  • Consolidation options for technology products, including OS, Database and integration software.

  • Exit and close old data centre facilities

  • Create a foundation for transformation projects, including adopting cloud-native technologies.

  • Identify quick-win projects.

  • Establish a baseline of cloud readiness across the different business units.

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

  • Migration Readiness Assessment for 7 different business units covering the following areas, Governance, People, Operations, Security and Platform.

  • 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 compared to future cloud costs.

Results

  • Rapid discovery and assessment and cloud strategy development enabling first migrations in under 90 days

  • Development of business case and migration strategy across four scenarios, including mass migration, VMWARE on AWS, modernisation and cloud-native application services adoption.

  • Multi-year modernisation plan and associated cost model broken down into individual modernisation treatments (6Rs)

  • Identification of Fast Track cloud migration opportunities to move application services to hosted PaaS platform. An initial PoC was carried out on AWS to demonstrate capability.

  • Migration Readiness Assessment maturity model, action plans for implementing cloud centre of excellence, including target operating model.

Customer


Industry: Media
Size: Enterprise
Location: UK

Packaged Service Offering

  • Cloud Strategy Assessment

Key Metrics

  • Ten different files, including text, CSV, and excel.

  • 40 Days to Complete

  • No Discovery Agents

  • Multiple Business Case Scenarios

  • Migration Readiness Assessment & Operational Model Design

  • 530 Servers

  • 90 Applications

  • 374 Database Instances

Objectives


  • Avoid capital expenditure to replace the ageing server and storage infrastructure.

  • Avoid costs for over-provisioning infrastructure by rightsizing the infrastructure footprint on AWS and scaling as required.

  • Development of a replacement strategy for the ageing compute and storage platforms

  • Eliminate responsibility for the data centre fabric.

  • Building a services platform that enables the business to transform faster and increase adoption of a cloud-first approach to the delivery of I.T services

  • The Cloud adoption programme is a key component of future-proofing the business.

Approach


  • Rapid discovery and assessment and cloud strategy development

  • Rapid mapping of workloads to one of the six R transformation methods

  • Migration Readiness Assessment covers the following areas: Governance, People, Operations, Security and Platform.

  • Fast identification of quick wins enables the first wave of migrations to happen faster providing valuable learnings to help shape the remaining migration waves.

  • Development of short-, medium- and long-term roadmap.

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

  • Adoption of improved security access model

  • Identification and execution of  mode-2 proof of concepts in parallel to mode-1 re-hosts.

  • Development 30-day task list to get ready for cloud adoption.

  • Creation of VPC architecture and landing zone blueprint.

  • Cloud adoption flight plan with resource model.



Information Security


Platform Status




AWS Public Support Statement


Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.Junkshon is an AWS Select Technology Partner that helps customers succeed on a Technology Strategy for moving to or growing within AWS.Providing in-depth analytics of the current infrastructure and application estate, enabling Technology Strategy decisions to be madePerform Migration Readiness Assessments to identify required actions to achieve a Cloud StrategyMigration treatment predictions with options to achieve in line with Technology Strategy and supporting innovationReview application portfolio and provide guidance on Refactor patterns available for the application(s)Identify projects for short term optimisation, cost or technologyOrganisation and Governance advisory during and post migrationCreating a Business Case with supporting cost models to enable decision makers



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