Move applications, servers, databases and data to AWS, Azure or Google Cloud through a structured migration workflow that covers discovery, target design, transfer, validation, rollback planning and handover.
Start with a simple workload move or select a broader application migration. Larger estates, compliance-heavy workloads and multi-region projects are quoted after discovery.
For one simple website, lightweight application or low-complexity virtual-machine move.
For one business application with its database, network dependencies and cutover requirements.
For a small group of related workloads that needs coordinated migration, validation and documentation.
*The 5–7 working day target applies to simple, clearly scoped migrations with timely access and approvals. Cloud-provider infrastructure, storage, data-transfer, licence and marketplace charges are separate.
Tell us the source environment, target cloud, workload count and cutover constraints. We will structure the migration into practical waves and provide a custom scope instead of forcing a fixed package.
Each migration follows a controlled sequence so dependencies, access, data movement and go-live checks are addressed before the source environment is retired.
Inventory the workload, dependencies, data, traffic, access and constraints.
Choose the target services, migration method, network pattern and cutover approach.
Configure accounts, roles, backups, networking, certificates and migration tooling.
Move the application, infrastructure and data using the agreed migration wave.
Test the target workload, switch traffic and monitor the agreed validation window.
Document the environment, remaining risks, backups, monitoring and next-step optimization.
A cloud migration is not always a simple server copy. The right path depends on application architecture, business urgency, technical debt, licensing, resilience needs and how much change you want during the move.
Move an existing workload with minimal application change when speed and compatibility are the priority.
Best for: straightforward lift-and-shift workloadsMake targeted changes such as using managed databases, storage or deployment services without a full rewrite.
Best for: operational improvement with limited code changeRedesign parts of the application for cloud-native capabilities, scalability or resilience where the business case supports deeper change.
Best for: modernization-led migrationsMove or connect infrastructure while retaining selected systems, virtualized environments or dependencies outside the target cloud.
Best for: phased or hybrid estatesThe migration plan is built around the actual components that need to move, not a generic cloud checklist.
Move web applications, APIs and supporting runtime components while mapping dependencies, environment variables, storage, domains and deployment requirements.
Plan data transfer, engine compatibility, backup, synchronization and validation for supported relational or NoSQL workloads.
Rehost eligible VMs or servers with target sizing, storage and network configuration.
Move or replatform Docker-based workloads and scope Kubernetes or managed-container targets where appropriate.
Coordinate routes, security rules, records, endpoints and certificate checks required for cutover.
The delivery focuses on continuity and verifiability: know what is changing, what can be tested and what to do if the target workload does not pass validation.
Use scoped access, review roles and avoid unnecessary long-lived credentials where the platform allows it.
Define recovery checkpoints, backup status and fallback conditions before production cutover.
Check application behavior, connectivity, data integrity, DNS, certificates and key operational signals.
Identify rightsizing, monitoring, backup and optimization actions that should follow successful migration.
Tool selection depends on the source environment, target provider, migration method and operational model required after cutover.
The technical migration method changes with uptime expectations, data sensitivity, integration patterns and business seasonality.
Plan around storefront uptime, database consistency, payment integrations and peak traffic windows.
Scope identity, logging, network controls and data handling according to the environment’s requirements.
Map sensitive data, access boundaries, backups and operational dependencies before cutover.
Move production apps, APIs and databases with release coordination and post-cutover validation.
Coordinate application, inventory, customer and integration workloads around business-critical periods.
Address connected services, tracking systems, data flows and distributed operational dependencies.
Plan storage, delivery, APIs and content systems for scalable cloud operation.
Move business applications and internal systems with documented access and handover.
Use a fixed project for a defined workload or expand into ongoing cloud and DevOps support after the migration is complete.
Defined workload, agreed deliverables, migration window and handover.
Cloud or DevOps engineering capacity for a wider migration program.
Ongoing monitoring, operational help and optimization under a separate managed scope.
Architecture, migration roadmap, cost review or pre-migration readiness work before execution.
These answers clarify common scope, timeline, cost, downtime and technical questions for cloud migration projects.
The service can cover current-state discovery, target-cloud planning, migration preparation, workload and data transfer, DNS and network cutover, validation, rollback planning, documentation and post-migration recommendations. The exact scope depends on the selected plan and the complexity of the source environment.
Rudrriv can support migration work involving Amazon Web Services, Microsoft Azure and Google Cloud Platform, along with selected hosting, virtual-machine and container environments where the required access and technical compatibility are available.
Yes. Cloud-to-cloud migrations can be scoped when you are moving workloads between providers such as AWS, Azure and Google Cloud. The migration plan considers service equivalents, networking, data movement, identity, storage, databases and cutover dependencies.
Yes. On-premise-to-cloud migration can include assessment of the existing server, workload dependencies, target architecture, backup preparation, data transfer, application configuration and controlled cutover to the selected cloud platform.
The standard delivery target for a simple, clearly scoped migration is 5–7 working days. Multi-application, high-data-volume, regulated or highly integrated environments may require a phased timeline that is confirmed after discovery.
The $50 entry plan is intended for a simple, low-complexity migration scope such as one small website, lightweight application or basic virtual-machine move. Complex databases, multiple environments, large data volumes, advanced security requirements or extensive modernization require a larger scope.
Downtime depends on the workload, data-change rate, DNS behavior and migration method. Rudrriv plans cutover steps to reduce disruption where practical, but no universal zero-downtime guarantee is made. The agreed plan will identify the expected cutover window and rollback approach.
For migrations where rollback is technically appropriate, the delivery includes a documented fallback or rollback approach covering backups, checkpoints, cutover criteria and the conditions for reverting to the source environment.
Yes. Database migration can be included with application migration when the database engine, version, size, connectivity and replication requirements are understood. Some database migrations may need additional tools, testing or phased synchronization.
DNS and SSL or TLS updates can be included for eligible workloads. The team can prepare records, certificate requirements and validation steps so the target environment is reachable securely after cutover.
Yes, but modernization is a separate level of scope from a straightforward rehost. Replatforming, containerization, managed-database adoption, serverless changes or application refactoring are assessed and priced according to the required engineering effort.
Typical access can include source hosting or server credentials, cloud-account access with an appropriate least-privilege role, DNS access, repository or deployment information, database credentials, architecture notes and a technical contact for approvals. Access requirements are finalized before work begins.
No. Rudrriv’s service price covers the agreed migration work. Cloud-provider infrastructure, storage, data transfer, software licences, marketplace products and other third-party usage charges are billed separately by the relevant provider unless explicitly stated in a custom scope.
Yes. Post-migration optimization can be scoped to review rightsizing, backup policies, monitoring, cost controls, logging, availability, security configuration and opportunities to use managed or automated cloud services.
Rudrriv reviews your source environment, target cloud, workload type, data size, business timing and technical constraints. The team then confirms the appropriate plan, required access, migration method, delivery schedule and any custom pricing before execution starts.
Share the essentials below. We will review the migration complexity and confirm the appropriate plan, timeline and any custom pricing.
Start with one workload or bring us a wider migration program. We will help you define the path, cutover controls and next practical step.
