Cloud Migration Services for AWS, Azure & Hybrid Environments

Cloud migration services assess, plan, move, validate and optimise applications, data or infrastructure from on-premise systems or another cloud into a target cloud environment. Scope can include architecture, security, testing, cutover, rollback, documentation and post-migration support.

A provider helps translate business and technical requirements into a migration strategy, target architecture, wave plan, implementation, testing, cutover and handover while making risks, assumptions, responsibilities and third-party costs clear.

Neither platform is universally better. The right choice depends on workload compatibility, organisation ecosystem, team skills, regions, services, security, governance, licensing, cost and long-term architecture.

Sometimes. A compatible workload may be rehosted or relocated with limited change, but configuration, identity, network, data, deployment, logging or integration changes may still be required.

Rehost moves with minimal change. Replatform makes targeted changes to use a better cloud runtime or managed service. Refactor redesigns or rewrites parts of the application for deeper cloud-native benefits and usually needs more testing.

Timeline depends on workload count and complexity, dependencies, data volume, remediation, security review, business windows, testing and approvals. An assessment and pilot produce a more credible estimate than a generic promise.

Some workloads support near-zero-downtime patterns while others require planned downtime. No responsible provider should promise zero downtime before assessing replication options, dependencies, data consistency, cutover and rollback.

Cost depends on discovery depth, workload count, migration strategy, data volume, application changes, platform design, testing, cutover and support. Cloud usage, licences, transfer charges and third-party tools should be shown separately unless included.

It may create opportunities for rightsizing, managed services, elastic capacity and hardware reduction, but savings are not automatic. Poor architecture, idle resources, data transfer, licensing and weak governance can increase cost.

The plan should define authorised access, encryption, transfer method, backups, retention, integrity checks, logging, acceptance and rollback. Sensitive or regulated data also requires the client’s legal, security and compliance approval.

Supported databases can often be migrated using native or approved third-party methods. The right approach depends on engine, version, extensions, schema, size, change rate, downtime tolerance, compatibility and target architecture.

Cloud-to-cloud migration can be supported after analysing service mapping, data egress, identity, networking, feature parity, contracts and operational impact. It should be treated as a new target design, not a simple copy.

It is a structured review of business drivers, workloads, dependencies, performance, data, security, cost, skills and operational readiness. It provides evidence for target-platform and migration-strategy decisions.

A landing zone is a governed foundation for cloud workloads. It normally covers account or subscription structure, identity, networking, policy, security, logging, monitoring, cost ownership and operational standards.

After cutover, workloads should be stabilised, monitored, documented, right-sized and handed over. Backup, recovery, security, cost, patching, incident and change responsibilities must be assigned.

Many legacy applications can be migrated, replatformed, refactored, replaced, retained or retired. Suitability depends on supportability, licences, dependencies, data, performance and business value.

Access depends on scope and should follow least privilege. Named users, roles, systems, duration, logging and revocation should be defined before work begins. Never submit credentials through the public enquiry form.

No. We commit to the approved activities, documentation, controls and acceptance process. Cost, performance, availability, downtime and business outcomes depend on architecture, workload behaviour, third parties and client decisions.