Source Workloads
Applications, databases, and dependencies are inventoried with their owners and operating requirements.
Cloud Migration
Cloud Migration Services
from Assessment to Deployment
Simplify your cloud migration with a clear plan for cost, continuity, and performance. Codiste assesses your existing environment, manages the migration of applications, databases, and infrastructure, and prepares your team to operate and optimise your cloud environment with confidence.
What Puts Cloud Migrations at Risk?
Authentication, scheduled jobs, shared storage, and database connections can remain tied to the old environment. Moving a server without mapping those dependencies can interrupt the business workflows it supports.
Oversized resources, software licences, data transfer charges, and temporary dual-running costs can undermine the business case. A migration budget needs to account for both the transition and ongoing operations.
Incomplete synchronisation, missed configuration changes, or unclear recovery responsibilities can delay the switch. Your team needs agreed validation checks and a rehearsed response when a workload is not ready.
What Are Cloud Migration Services?
Cloud migration services help organisations move applications, data, and infrastructure between on-premises systems, private clouds, and public cloud platforms. They cover assessment, migration planning, destination setup, data transfer, application testing, cutover, and the operational handover needed to manage workloads in their new environment.
The right approach depends on the workload. Some applications need limited changes; others require replatforming or redesign. Codiste’s cloud migration consulting services establish what should move, what should stay, and how to sequence the work around your business.
Codiste’s Cloud Migration Capabilities
01
Cloud Migration Assessment
02
Migration Strategy & Roadmap
Choose the right approach for each workload. We assess rehosting, replatforming, refactoring, replacement, retention, and retirement, with relocation considered where appropriate. Your roadmap sets migration waves, target architecture, cost assumptions, acceptance criteria, and the responsibilities needed to manage cutover.
03
Hybrid Cloud Migration
Connect cloud workloads with the systems that stay on-premise. We plan application placement, networking, identity, and data flows across both environments. The result is a defined hybrid architecture that accounts for latency, access requirements, operational ownership, and dependencies that cannot move together.
04
Multi-Cloud Migration
Move workloads between providers or consolidate fragmented environments. We assess service compatibility, data egress, licences, and changes to provider-specific integrations. Application migration can include containerisation or Kubernetes migration where justified, with a destination design and validation plan suited to your team.
05
Database & Data Migration
Transfer business data with checks for consistency and application compatibility. We assess schemas, stored procedures, permissions, and integrations, then configure transfers and continuous synchronisation where supported. You receive reconciliation results and a cutover runbook covering write handling, recovery, and final acceptance.
06
Cloud Optimisation & Support
Keep the new environment maintainable and cost-aware. We review usage, right-size resources, establish cost allocation and alerts, and document operating procedures. Post-migration FinOps and managed support can cover monitoring, maintenance, incident response, and recovery testing within an agreed scope.
Codiste’s Cloud Migration Tech Stack
Tools are chosen per workload and matched to the platforms your team already runs. These are workload-dependent options, not claims of partnership or certification.
AWS Cloud Adoption Framework
Microsoft Cloud Adoption Framework
Google Cloud Well-Architected Framework
FinOps Framework
Python
SQL
Bash
PowerShell
HCL
Amazon Web Services
Microsoft Azure
Google Cloud
Azure Migrate
AWS Transform
AWS DMS
Google Cloud Database Migration Service
Terraform
Ansible
Docker
Kubernetes
Prometheus
Grafana
Our Cloud Migration Process
Every migration moves in four stages, with a representative pilot before the wider rollout and acceptance criteria agreed before any workload switches over.
1. Assess & Plan
Map workloads and dependencies, establish performance and cost baselines, and choose a migration approach for each application. Agree on scope, wave order, recovery requirements, and acceptance criteria. Your team receives a migration roadmap with delivery assumptions and clear responsibilities.
2. Prepare & Pilot
Build the landing zone with networking, IAM, encryption, backups, and monitoring. Use Infrastructure as Code for repeatable provisioning. Migrate a representative workload, test integrations and recovery procedures, and use the results to refine the remaining migration waves.
3. Validate & Cut Over
Complete data reconciliation, functional checks, performance testing, and user acceptance testing. Execute the approved cutover within agreed windows, with final synchronisation and controlled traffic changes. Monitor against recovery triggers and record outstanding issues before confirming workload acceptance.
4. Optimise & Handover
Stabilise production, review actual costs, and tune resources against the baseline. Hand over configurations, monitoring, and operating runbooks with defined support ownership. Retire source systems only after acceptance and the agreed recovery or retention period.
Define Your Cloud Migration Roadmap
Understand what should move first, what needs to change, and what the transition will involve. Discuss your applications, dependencies, and project scope with Codiste.
Book a 30-minute migration callHow Cloud Migration Works
A controlled migration gives every workload a defined route from its current environment to production. We prepare the destination before transfer, validate the result before cutover, and keep recovery requirements visible throughout.
Cloud Foundation
The landing zone establishes networking, identity, security, backups, and monitoring before workloads arrive.
Transfer & Sync
Workloads and data move to the target, with ongoing replication where supported.
Validation
Data checks and application tests confirm readiness against the agreed acceptance criteria.
Production Cutover
Approved workloads switch to the target, followed by monitoring, stabilisation, and handover.
Access and Security Controls
Identity, permissions, encryption, and logging are reviewed across the source, transfer path, and destination.
Data Consistency Checks
Reconciliation and replication checks identify missing records, conflicting writes, and unresolved transfer issues.
Recovery and Write Handling
Recovery plans define decision owners, triggers, and how transactions created after cutover will be handled.
Performance and Cost Visibility
Monitoring compares application behaviour and resource consumption with the baselines agreed before migration.
Cloud migration architecture from source workloads through cloud foundation, transfer, validation, and production cutover. Source systems stay in place during the transition until the migrated workload is accepted.
Cloud Migration Solutions for Your Business
Data Centre Exit
Move applications and servers ahead of lease deadlines or hardware retirement. We sequence connected workloads, confirm dependencies, and plan source-system decommissioning after acceptance.
Legacy Application Modernisation
Identify where lift and shift migration is sufficient and where applications need changes. The migration plan separates essential compatibility work from wider modernisation priorities.
Database Platform Transition
Move databases facing capacity, maintenance, or platform constraints. Compatibility checks, replication options, and application testing guide the transition to the selected destination.
Cloud Provider Consolidation
Bring fragmented workloads onto a preferred platform. We assess service replacements, data egress, licences, and retained dependencies before defining the migration waves.
Cloud Foundations for AI
Prepare infrastructure and connectivity for analytics and AI workloads. Data quality, permissions, supported interfaces, and evaluation remain explicit requirements alongside the migration.
Cloud Migration Planning by Industry
Migration priorities vary with the systems your business runs. We assess application dependencies, data access, peak demand, and recovery requirements in the context of your industry.
Proven Impact: AI Voice Agents in Action
See the results our AI voice agents deliver in regulated and high-volume industries.
Why Choose Codiste for Cloud Migration?
Choosing between cloud migration service providers means evaluating who will make the technical decisions and how your team will accept the work. Our approach connects scoping, engineering, and operational handover.
Engineers Involved from Scope to Delivery
Codiste’s delivery model keeps the engineers who scope the work involved in implementation. Our application and AI engineering experience informs decisions about integrations, data access, and runtime requirements in the target environment.
Architecture and Cost Agreed Before Delivery
Our services approach establishes architecture, timeline, and build cost before implementation. For migration, that means agreeing on workloads, destination design, transition assumptions, and acceptance criteria before expanding the work.
Configurations, Runbooks, and Knowledge Transfer
Codiste’s services include client ownership of custom deliverables and documented handover. Migration delivery brings together configurations, operating instructions, monitoring, and support responsibilities so your team can maintain the new environment.
Plan Your Cloud Move with Clear Costs and Priorities
Define the migration scope before committing to the transition. Codiste helps you assess workload readiness, compare destination options, and establish a practical plan for delivery and ongoing operations.
Cloud Migration FAQs
They cover the work required to move selected applications, databases, or infrastructure to a new cloud environment. Scope typically includes discovery, planning, destination setup, transfer, testing, cutover, and handover. When comparing cloud migration service providers, confirm whether application changes, licences, source-system retirement, and ongoing support are included.
A cloud readiness assessment establishes what can move and what needs attention first. It reviews dependencies, compatibility, performance, security, licensing, costs, and team readiness. You do not need every workload to be ready together. The findings identify suitable starting points and the prerequisites for more complex migration waves.
The six commonly cited approaches are rehost, replatform, refactor, repurchase, retain, and retire. AWS’s current seven-R framework adds relocate. We assess the options per workload: business value, technical compatibility, change effort, and deadlines determine the choice. A single migration programme can use several approaches rather than applying one to every application.
The choice depends on your workloads, existing skills, licensing, regional requirements, integrations, and operating costs. We compare the relevant services and model the target environment before recommending a platform. Oracle Cloud migration or an OpenStack destination can also be assessed where your estate requires it, with compatibility and specialist delivery scope confirmed first.
Cost depends on workload complexity, data volume, application changes, and delivery requirements. We separate implementation fees from consumption, licences, transfer charges, and dual-running costs. Engagements can begin with an assessment, a dedicated migration team, or a fixed-scope move. Deliverables, milestones, commercial terms, and post-migration support are agreed in the proposal.
We minimise disruption through rehearsed cutovers, replication where supported, dependency testing, and controlled traffic changes. Zero downtime migration depends on application design, database capabilities, and how writes are handled during the switch. Where uninterrupted operation cannot be demonstrated, we agree on a maintenance window and recovery procedure before proceeding.
The timeline depends on the workloads, data transfer requirements, application changes, and approval windows. One database and an interconnected application estate require different plans. Assessment establishes the delivery sequence and duration. Pilot findings then refine the schedule for later waves, with business-critical periods reflected in the cutover calendar.
Each source system receives an agreed retain, retire, or replace decision. Decommissioning follows workload acceptance, dependency checks, and the defined recovery or retention period. ERP cloud migration and mainframe-to-cloud migration require specialist assessment of application behaviour, licensing, and integrations before retirement commitments are made. Some systems may remain in a hybrid environment.
Cloud spending can increase if resources remain oversized, usage expands, or duplicate systems continue running. We compare total cost of ownership, including migration and ongoing operations, rather than relying on infrastructure prices alone. Post-migration FinOps reviews track actual consumption, allocate costs, and prioritise improvements against your performance and reliability requirements.
Security requirements inform destination design and migration execution. Scope can include least-privilege IAM, encryption, network controls, logging, secrets management, and recovery testing. Your security and compliance owners confirm applicable requirements and acceptance criteria. We document the agreed controls and evidence; moving to a cloud provider does not itself establish compliance.
Yes, the assessment can cover cloud-to-cloud migration or repatriation to private infrastructure. Feasibility depends on service portability, data export options, licences, and destination capacity. We account for replacing provider-specific services, transfer costs, and retained dependencies. A VMware alternative can be evaluated as part of the same workload placement review.
It can provide infrastructure and connectivity needed for AI workloads, but it does not automatically make data or applications AI-ready. Reliable data, clear permissions, supported interfaces, and evaluation remain necessary. We identify those requirements during planning so the migration supports your AI roadmap and exposes any additional implementation work.
Discuss Your Cloud Migration with Codiste
Share your current environment, priority workloads, and target timeline. We’ll help you define the assessment scope and the next steps for your migration.