Application and dependency discovery
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Plan and migrate your applications, servers and workloads to AWS with a structured cloud migration approach. Datanet Hosting helps businesses assess, migrate and optimise their infrastructure for cloud operations.
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A cloud migration begins with discovery, application dependency assessment and target architecture planning. Migration strategy and cutover are shaped by complexity, downtime tolerance and business priorities.
Move workloads to AWS through structured discovery, migration strategy, execution and post-migration validation.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Migration planning should address the 7 Rs, application dependencies, data transfer, downtime windows, validation, rollback and post-migration ownership.
Move workloads to AWS through structured discovery, migration strategy, execution and post-migration validation.
Move workloads to AWS through structured discovery, migration strategy, execution and post-migration validation.
Move workloads to AWS through structured discovery, migration strategy, execution and post-migration validation.
Move workloads to AWS through structured discovery, migration strategy, execution and post-migration validation.
Move workloads to AWS through structured discovery, migration strategy, execution and post-migration validation.
Inventory workloads, map dependencies and establish business, technical and downtime requirements.
Select migration approaches, target services, sequencing, data transfer and rollback controls.
Execute agreed migration waves, test application behaviour and complete controlled cutover.
AWS migration moves or modernises workloads from on-premises or other environments to AWS using a suitable migration strategy and sequence.
Migration planning should address the 7 Rs, application dependencies, data transfer, downtime windows, validation, rollback and post-migration ownership.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Move workloads to AWS through structured discovery, migration strategy, execution and post-migration validation.
Migration pricing and scope depend on server count, data volume, application dependencies, downtime tolerance and target architecture. AWS infrastructure consumption is separate unless specified.
Share your current infrastructure and migration goals to build a phased AWS migration plan.
Move workloads to AWS through structured discovery, migration strategy, execution and post-migration validation.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
Migration activities are sequenced by application dependencies, business criticality, data volume and acceptable downtime.
| Service feature | Starter | Business | Managed |
|---|---|---|---|
| Server and application discovery | ✓ | ✓ | ✓ |
| Dependency mapping and migration wave plan | ✓ | ✓ | ✓ |
| Data and server migration execution support | — | ✓ | ✓ |
| Cutover, testing and rollback planning | — | ✓ | ✓ |
| Post-migration optimisation and support | — | — | ✓ |
Migration pricing and scope depend on server count, data volume, application dependencies, downtime tolerance and target architecture. AWS infrastructure consumption is separate unless specified.
Select the target region after assessing application latency, data residency, service availability, connectivity, disaster recovery and total cost.
AWS migration can support data centre exits, application modernisation, database moves, infrastructure consolidation and cloud-based recovery.
AWS migration can support data centre exits, application modernisation, database moves, infrastructure consolidation and cloud-based recovery.
AWS migration can support data centre exits, application modernisation, database moves, infrastructure consolidation and cloud-based recovery.
AWS migration can support data centre exits, application modernisation, database moves, infrastructure consolidation and cloud-based recovery.
| Project area | Datanet Hosting | Self-managed |
|---|---|---|
| Discovery and dependency mapping | ✓ | Customer-led |
| Migration strategy and wave planning | ✓ | Customer-led |
| Migration testing and cutover coordination | ✓ | Self-managed |
| Post-migration validation and handover | ✓ | Customer-managed |
Depending on compatibility and requirements, servers, applications, databases, files and supporting infrastructure can be migrated.
Downtime depends on the workload, migration method, data synchronisation and cutover plan. Some workloads can reduce downtime through replication and staged cutover.
The strategy is selected after reviewing application dependencies, technical constraints, business goals, cost and modernisation opportunities.
Post-migration work can include functional validation, performance checks, security review, cost baseline and operational handover.
Migration planning should address the 7 Rs, application dependencies, data transfer, downtime windows, validation, rollback and post-migration ownership.
Map application, database, identity, network and third-party dependencies before scheduling waves.
Define maintenance windows, synchronisation strategy, cutover criteria and rollback conditions.
Choose suitable compute, storage, database and network services for each workload.
Test application functionality, data consistency, security and performance after cutover.
Move workloads to AWS through structured discovery, migration strategy, execution and post-migration validation.
