Cloud Migration

Cloud Migration Services — Move Fast, Break Nothing

Cloud migration projects fail when planning is superficial, dependencies are missed, and cutovers are untested. Opsio's cloud migration services use a proven factory methodology — application discovery, dependency mapping, rehearsal cutovers, and rollback procedures across AWS, Azure, and GCP so your migration is predictable, safe, and fast.

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Trusted by 100+ organisations across 6 countries

AWS/Azure/GCP

All Platforms

Zero

Data Loss

MAP

Funding Access

200+

Workloads Migrated

AWS MAP

Azure Migrate

GCP Migrate

CloudEndure

Terraform

DMS

Part of Cloud Solutions

What is Cloud Migration Services?

Cloud migration services cover the end-to-end planning, execution, and optimization of moving applications, databases, and IT infrastructure from on-premises data centers or existing cloud environments to public, private, or hybrid cloud platforms such as AWS, Azure, or Google Cloud. Standard scope spans six core responsibilities: application portfolio discovery and dependency mapping using tools such as Txture or AWS Migration Evaluator; selection and execution of the appropriate migration strategy from the 7 Rs framework, which includes rehost, replatform, refactor, repurchase, relocate, retire, and retain; data replication and transfer using services such as AWS DataSync, Azure Data Box, or Google Cloud Transfer Service; schema conversion and application cutover with rehearsal runs and documented rollback procedures; security hardening that covers firewall configuration, encryption at rest and in transit, and identity and access management aligned to standards such as ISO 27001 and NIS2; and post-migration cost optimization using infrastructure-as-code tooling including Terraform and AWS Cost Explorer. Migration project costs vary widely depending on workload complexity, data volume, and chosen strategy, with enterprise engagements typically ranging from tens of thousands to several million dollars; AWS MAP funding can offset eligible workloads for qualifying partners. Major providers in this space include AWS, Microsoft Azure, Google Cloud, IBM, Accenture, Rackspace Technology, and Kyndryl, each offering managed or consulting-led delivery models. Opsio holds AWS Advanced Tier Services Partner status with AWS Migration Competency, Microsoft Partner status, and Google Cloud Partner status, and operates a 24/7 NOC with 50-plus certified engineers across its Karlstad and ISO 27001-certified Bangalore delivery centers, providing mid-market and Nordic enterprise clients a 99.9% uptime SLA and factory-model execution across all three major cloud platforms.

Cloud Migration That Delivers Without Drama

Cloud migration is the most consequential infrastructure project most organizations undertake — and the most likely to go sideways. Incomplete application discovery leads to missed dependencies. Untested cutovers cause extended downtime. Unclear rollback procedures leave teams scrambling when problems arise. Opsio's migration methodology eliminates these risks systematically, with built-in security during migration at every stage. Our migration factory approach uses AWS Migration Hub, Azure Migrate, or GCP Migrate for Compute Engine to discover, assess, and migrate workloads at scale. We run parallel workstreams — infrastructure, databases, and applications — with dedicated cutover engineers for each workstream. Every migration includes rehearsal cutovers that validate the exact procedure before the production window.

Database migration is where most complexity hides. We use AWS Database Migration Service, Azure DMS, and native replication tools for PostgreSQL, MySQL, SQL Server, and Oracle migrations. Schema conversion handles PL/SQL-to-PL/pgSQL and T-SQL compatibility. Parallel-run validation confirms data consistency before final cutover, ensuring zero data loss.

Application modernization happens alongside migration when it makes sense. Lift-and-shift gets workloads to cloud quickly, but re-platforming to managed services (Aurora, Cloud SQL, EKS, AKS) and re-architecting to cloud-native patterns (serverless, containers) unlock the real value of cloud. We assess each application and recommend the optimal migration strategy.

For AWS migrations, we leverage the Migration Acceleration Program (MAP) to secure AWS credits that offset migration costs. MAP funding can cover assessment tools, migration labor, and AWS consumption during the transition period. As an AWS Migration Competency partner, we help clients navigate the MAP application process and maximize available credits.

Post-migration optimization is not an afterthought. We run a 30-day hypercare period after cutover with enhanced monitoring, on-call support, and performance validation. Once workloads are stable, we transition to post-migration managed services with FinOps cost optimization, security hardening, and DR configuration — ensuring the cloud environment delivers value from day one.

Cloud migration consulting is packaged separately from execution delivery. Before committing to a full migration project, many organizations benefit from a dedicated consulting engagement covering portfolio assessment, 7-R classification per workload, target-architecture design across AWS, Azure, or GCP, and MAP/AMMP/RMP funding application. Clients can engage Opsio for consulting only — producing a migration plan and funding agreement — then take delivery in-house, or extend into full managed delivery. The consulting output includes the wave schedule, per-application migration strategy, cost projections, and risk register.

For Google Cloud specifically, we provide GCP database and application migration covering Cloud SQL, AlloyDB, Spanner, and BigQuery as target platforms. Database workloads migrate via Google Cloud Database Migration Service for MySQL, PostgreSQL, and SQL Server; analytics platforms migrate to BigQuery with explicit cost-modelling to prevent runaway query bills. See our GCP migration strategy guide for the detailed wave pattern and RMP funding specifics. Featured reading from our knowledge base: Advantages of Azure Cloud Migration, Cloud App Migration: Top Reasons, and AI Impact on Cloud Migration: Transforming How Businesses Move to the Cloud. Related Opsio services: AWS Migration Services — MAP Funded, Zero-Downtime, AWS Cloud Migration Consulting — Plan & Execute, and Azure Migration Services — Plan, Execute, Optimise.

Application Discovery & AssessmentCloud Migration

Migration Factory ExecutionCloud Migration

Cloud Migration ConsultingCloud Migration

Database Migration ServicesCloud Migration

Application ModernizationCloud Migration

MAP Funding & Cost ManagementCloud Migration

Hypercare & TransitionCloud Migration

AWS MAPCloud Migration

Azure MigrateCloud Migration

GCP MigrateCloud Migration

Application Discovery & AssessmentCloud Migration

Migration Factory ExecutionCloud Migration

Cloud Migration ConsultingCloud Migration

Database Migration ServicesCloud Migration

Application ModernizationCloud Migration

MAP Funding & Cost ManagementCloud Migration

Hypercare & TransitionCloud Migration

AWS MAPCloud Migration

Azure MigrateCloud Migration

GCP MigrateCloud Migration

How Opsio Compares

Capability	In-House Team	Other Provider	Opsio
Migration methodology	Ad-hoc per server	Basic lift-and-shift	Factory with rehearsal cutovers and waves
Database migration	Manual dump/restore	Basic DMS setup	Schema conversion + parallel-run validation
MAP funding	No access	Sometimes	Migration Competency partner access
Rehearsal cutovers	Rarely done	Optional	Standard for every workload
Rollback procedures	Hope for the best	Documented	Tested and validated before production
Post-migration support	Same team context-switches	Separate engagement	30-day hypercare + managed ops transition
Typical project cost	$200K+ (overtime + hiring)	$100-200K	$30-150K (+ MAP credits)

Service Deliverables

Cloud migration services cover seven capabilities mapped to a factory methodology rather than ad-hoc per-server execution. Application discovery uses AWS Migration Hub, Azure Migrate, or GCP Migrate with automated dependency mapping and migration-readiness scoring per workload. Migration factory execution runs parallel workstreams — infrastructure, database, and applications — with dedicated cutover engineers and rehearsal cutovers validating procedures before production. Cloud migration consulting is packaged separately for clients who want a decision-ready plan with 7-R classification, target architecture, and funding application before committing to delivery. Database migration uses AWS DMS, Azure DMS, Google Cloud DMS, and native replication with cross-engine schema conversion (Oracle to PostgreSQL, SQL Server to Aurora). Application modernization runs alongside migration where it adds business value. MAP funding access offsets AWS migration costs. Hypercare and transition deliver 30 days of enhanced support after cutover.

Application Discovery & Assessment

Automated discovery with AWS Migration Hub, Azure Migrate, or manual assessment for application inventory, dependency mapping, and migration readiness scoring. Each application gets a recommended migration strategy: rehost, replatform, refactor, retire, or retain.

Migration Factory Execution

Parallel workstreams for infrastructure, database, and application migration with dedicated cutover engineers. Rehearsal cutovers validate procedures before production windows. Rollback procedures tested and documented. Migration waves prioritized by business criticality and complexity.

Cloud Migration Consulting

Advisory-first engagement covering portfolio assessment, 7-R classification per workload, target-architecture design, MAP/AMMP/RMP funding application, and migration runbook authoring. Engage us for strategy only, or extend into delivery — consulting is packaged separately from execution.

Database Migration Services

AWS DMS, Azure DMS, Google Cloud DMS, and native replication for PostgreSQL, MySQL, SQL Server, and Oracle migrations. Cross-engine schema conversion (Oracle→Aurora Postgres, SQL Server→Aurora, Oracle→Spanner, SQL Server→AlloyDB). Parallel-run data validation ensuring zero data loss. Performance benchmarking validates target database meets or exceeds source performance.

Application Modernization

Containerization with Docker and Kubernetes for applications benefiting from portability and scaling. Serverless refactoring for event-driven workloads. Managed database adoption (Aurora, Cloud SQL) eliminating operational overhead. Modernization assessed per application based on business value and technical feasibility.

MAP Funding & Cost Management

AWS Migration Acceleration Program credit application and management. Migration cost projections with cloud TCO analysis. Post-migration FinOps optimization ensuring cloud costs are predictable and optimized from the first month of production operation.

Hypercare & Transition

30-day enhanced monitoring and on-call support after cutover. Performance validation against pre-migration baselines. Issue remediation with accelerated SLA. Smooth transition from migration project to managed operations with documentation handover.

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What You Get

A cloud migration engagement ships ten specific deliverables tied to migration governance and operational handover. Application inventory with dependency mapping and migration-readiness scoring shows what's moving and in what order. The per-workload migration strategy assigns 7-R classification — rehost, replatform, refactor, retire, or retain — and justifies each choice. The cloud landing zone deployment provides the target environment with networking, security, IAM, and monitoring before any workload migrates. Migration runbooks document rehearsal cutover procedures and rollback paths. Database migration includes schema conversion artifacts and parallel-run validation reports. Post-migration performance benchmarks compare against pre-migration baselines. MAP funding application and credit management run alongside delivery for AWS migrations. The 30-day hypercare engagement includes enhanced monitoring and accelerated SLA. FinOps optimization tracking and managed-operations transition documentation close out the project formally.

Application inventory with dependency mapping and migration readiness scoring

Migration strategy per workload: rehost, replatform, refactor, retire, or retain

Cloud landing zone with networking, security, IAM, and monitoring

Migration runbook with rehearsal cutover procedures and rollback documentation

Database migration with schema conversion and parallel-run data validation

Post-migration performance benchmarks compared to source environment

MAP funding application and credit management (AWS migrations)

30-day hypercare support with enhanced monitoring and accelerated SLA

FinOps cost optimization report with savings tracking

Managed operations transition documentation and SLA agreement

“For us at SAVR, trust, security, and scalability are fundamental to delivering a modern investment platform that challenges traditional fund pricing. When selecting a partner, we needed deep cloud expertise, a proactive security mindset, and a team we could rely on as we scaled. Opsio has been a trusted partner for our mission-critical infrastructure, supporting our journey with strong technical capabilities. Our collaboration gives us confidence that our platform remains resilient and secure, as we grow from here.”

Daniel Aarenstrup

CEO, SAVR

Pricing & Investment Tiers

Transparent pricing. No hidden fees. Scope-based quotes.

Discovery & Planning

$10,000–$30,000

2-4 week engagement

Why Choose Opsio for Cloud Services

Six characteristics distinguish Opsio's cloud migration services from generic providers and internal teams. The migration factory methodology — parallel workstreams, rehearsal cutovers, tested rollback procedures, and prioritized waves — replaces ad-hoc per-server execution that causes most failed migrations. Coverage spans AWS, Azure, and GCP with platform-certified engineers and platform-specific tooling, supporting multi-cloud target architectures rather than locking you to one provider. Zero-data-loss is enforced through parallel-run validation and explicit schema conversion, not assumed. AWS Migration Competency partnership unlocks MAP funding credits — typically 30-50% of migration costs. Post-migration optimization is built in: 30-day hypercare with accelerated SLA, then transition to managed operations with FinOps and security hardening. The 200+ workloads-migrated track record across SaaS, enterprise, healthcare, and financial services means the patterns and tooling are proven, not theoretical.

Proven migration methodology

Factory approach with rehearsal cutovers, rollback procedures, and parallel workstreams.

All cloud platforms

AWS, Azure, and GCP migration with platform-specific tooling and expertise.

Zero-data-loss guarantee

Parallel-run validation and schema conversion ensuring data integrity.

MAP funding access

AWS credits offsetting migration costs through Migration Competency partnership.

Post-migration optimization

30-day hypercare followed by managed operations with FinOps and security.

200+ workloads migrated

Proven track record across SaaS, enterprise, healthcare, and financial services.

Not sure yet? Start with a pilot.

Begin with a focused 2-week assessment. See real results before committing to a full engagement. If you proceed, the pilot cost is credited toward your project.

Start a Pilot

Our 4-Phase Delivery Process

A cloud migration runs through four phases with explicit deliverables, timelines, and exit criteria. Discovery & Planning (2-4 weeks) inventories every application, maps dependencies, classifies workloads under the 7-R framework (rehost, relocate, replatform, refactor, repurchase, retire, retain), builds the wave schedule, and submits MAP funding applications for AWS migrations. Foundation & Landing Zone (2-3 weeks) deploys the target cloud landing zone with networking, security baseline, IAM, monitoring, and CI/CD infrastructure — the production target environment is validated before any workload moves. Migration Execution (4-16 weeks, depending on scope) runs parallel workstreams with rehearsal cutovers per wave, data-validation sign-offs, and production cutover with rollback ready. Hypercare & Optimize (4 weeks plus ongoing) covers enhanced monitoring with accelerated SLA, performance validation against pre-migration baselines, cost optimization, and transition to ongoing managed operations.

Discovery & Planning

Application inventory, dependency mapping, migration strategy per workload, timeline planning, and MAP funding application. Deliverable: migration plan with wave schedule. Timeline: 2-4 weeks.

Foundation & Landing Zone

Cloud landing zone deployment with networking, security baseline, IAM policies, monitoring, and CI/CD infrastructure. Target environment validated and ready. Timeline: 2-3 weeks.

Migration Execution

Parallel workstream migration with rehearsal cutovers, data validation, performance benchmarking, and production cutover with rollback capability. Timeline: 4-16 weeks.

Hypercare & Optimize

30-day enhanced monitoring with accelerated SLA, performance validation, cost optimization, and transition to ongoing managed operations. Timeline: 4 weeks + ongoing.

Key Takeaways

Application Discovery & Assessment
Migration Factory Execution
Cloud Migration Consulting
Database Migration Services
Application Modernization

Industries Served by Opsio

Cloud migration priorities differ sharply by industry, and Opsio's wave design reflects that. SaaS and technology companies need zero-downtime cutovers for customer-facing services and continuous deployment compatibility — migrations are sequenced around release cadence and feature freeze windows. Enterprise and retail face large-scale data center exit projects with hundreds of servers, multiple datacenter contracts unwinding in sequence, and complex network connectivity to retire — wave planning aligns with lease expirations and budget cycles. Healthcare migrations demand HIPAA-compliant data handling, encryption in flight and at rest, controlled access throughout the migration window, and BAA documentation for every cloud service touched. Financial services run regulated migrations under SOC 2, PCI DSS, and DORA frameworks with audit trails, encryption attestation, and explicit segregation of duties between development and production access during cutover. Same factory methodology, different compliance overlays.

SaaS & Technology

Multi-service application migration with zero-downtime cutover requirements.

Enterprise & Retail

Large-scale data center exit with hundreds of servers and databases.

Healthcare

HIPAA-compliant migration with data residency and encryption requirements.

Financial Services

Regulated migration with audit trails, encryption, and compliance validation.

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Cloud Migration Services — Move Fast, Break Nothing — FAQ

What do cloud migration services include?

Cloud migration services cover application discovery, dependency mapping, migration strategy selection, landing zone deployment, migration execution with rehearsal cutovers, database migration with data validation, post-migration optimization, and 30-day hypercare support. Opsio migrates to AWS, Azure, or GCP using proven factory methodology. For example, a typical engagement begins with automated discovery that maps every server, application, and dependency in your environment. We then assign each workload a migration strategy — lift-and-shift, replatform, or refactor — based on business value and technical complexity. This structured approach prevents the common failure of discovering critical dependencies mid-migration.

How long does a cloud migration take?

Timeline depends on scope: 10-20 servers take 4-8 weeks, 50-100 servers take 8-16 weeks, and 100+ server estates take 16-24 weeks. Our migration factory runs parallel workstreams to compress timelines. Every migration includes rehearsal cutovers before the production window. Discovery and planning adds 2-4 weeks upfront. For example, a 60-server migration typically runs in four waves of 15 servers each, with each wave taking 2-3 weeks including validation. Parallel workstreams handle infrastructure provisioning, database replication, and application testing simultaneously. Rehearsal cutovers for each wave validate the exact procedure that will be used during the production switchover window.

How much do cloud migration services cost?

Discovery and planning runs $10,000-$30,000. Migration execution ranges from $30,000-$150,000 depending on workload count and complexity. Database migrations add $10,000-$40,000 per database for cross-engine conversions. AWS MAP credits can offset 30-50% of migration costs for eligible projects. Post-migration managed services start at $5,000 per month. For example, a 50-server migration to AWS with two database conversions typically costs $80,000-$120,000. With MAP credits covering 30-40% of that cost, the net investment drops to $50,000-$80,000. We provide detailed cost breakdowns by workload and phase so you can plan budget allocation and track spending against projections throughout the project.

What is the AWS Migration Acceleration Program (MAP)?

MAP provides AWS credits and funding to offset migration costs. Eligible projects receive credits for assessment tools, migration labor, and AWS consumption during transition. As an AWS Migration Competency partner, Opsio helps clients navigate the MAP application process and maximize available credits. Eligibility depends on migration scope and committed AWS spend. For example, a company migrating 100 servers with a projected $500,000 annual AWS spend might qualify for $150,000-$200,000 in MAP credits. We handle the entire application process including workload documentation, business case preparation, and AWS engagement coordination.

How does Opsio ensure zero-downtime migration?

We use continuous replication with DMS, CloudEndure, or native replication to keep source and target synchronized during migration. Rehearsal cutovers validate the exact switchover procedure. Final cutover uses DNS changes or load balancer switching for near-instant traffic redirect. Rollback procedures are tested and ready if issues arise during production cutover. For example, servers replicate data continuously to the target cloud for 1-2 weeks before cutover, ensuring the target environment is current. The actual cutover window is typically under 2 hours — stop writes, wait for final sync, switch DNS, and validate.

Can Opsio modernize applications during migration?

Yes. We assess each application and recommend the optimal strategy: lift-and-shift for quick wins, replatform to managed services like Aurora, Cloud SQL, or EKS for operational benefits, or refactor to cloud-native architecture for maximum value. Modernization decisions balance business urgency with technical benefit — not every application needs cloud-native redesign. For example, a legacy application approaching end-of-support might be lift-and-shifted immediately for safety, then replatformed to managed services in a subsequent phase. A high-traffic customer-facing application might justify direct refactoring to containers and serverless for scalability.

What database migration methods does Opsio use?

We use AWS DMS for continuous replication, Azure DMS for SQL Server and PostgreSQL, native logical replication for PostgreSQL, and pgloader for schema conversion. Cross-engine migrations from Oracle to PostgreSQL or SQL Server to Aurora include schema conversion, stored procedure migration, and parallel-run validation ensuring data consistency. For example, an Oracle to Aurora PostgreSQL migration involves converting schemas with AWS SCT, migrating stored procedures manually for complex logic, replicating data continuously with DMS, and running both databases in parallel for two weeks while validating query results match.

How does Opsio handle migration risk?

Risk mitigation is built into every step: comprehensive discovery prevents missed dependencies, rehearsal cutovers validate procedures before production, parallel-run validation ensures data consistency, rollback procedures are tested and documented, and migration waves are prioritized by complexity so early wins build team confidence. For example, we always start migration waves with low-risk, low-complexity workloads to validate our tools, processes, and team coordination. Each successful wave builds confidence and refines procedures before tackling mission-critical applications. Detailed dependency mapping ensures we never migrate a server before its upstream and downstream dependencies are accounted for, preventing the cascade failures that derail poorly planned migrations.

What happens after migration is complete?

We run a 30-day hypercare period with enhanced monitoring, accelerated SLA, and performance validation. Post-hypercare, we transition to managed operations covering 24/7 monitoring, security, cost optimization, and ongoing infrastructure management. This ensures the cloud environment is optimized and supported from day one. For example, during hypercare, we monitor migrated workloads with heightened alerting thresholds, respond to incidents with accelerated SLA targets, and actively tune performance to match or exceed pre-migration baselines. Common post-migration optimizations include right-sizing instances based on actual cloud utilization, configuring auto-scaling for variable workloads, and implementing cost-saving strategies that were not possible on-premises.

Can Opsio migrate to multiple cloud providers?

Yes. We support migrations to AWS, Azure, GCP, and multi-cloud architectures where different workloads run on different platforms. Some clients migrate primary compute to AWS, data analytics to GCP, and Microsoft workloads to Azure. We design the target architecture based on workload requirements and provide unified managed operations post-migration. For example, a media company migrated video processing to AWS for its broad GPU instance selection, data analytics to GCP for BigQuery performance, and corporate applications to Azure for Active Directory integration.

What are database migration services and when do I need them?

Database migration services cover the planning, execution, and validation of moving databases between platforms — on-premises SQL Server to Azure SQL Managed Instance, Oracle to Aurora PostgreSQL, MySQL to Cloud SQL, and cross-cloud combinations. You need dedicated database migration services when the source database has schema or feature complexity that standard VM-migration tools don't handle, when zero data loss is a hard requirement, or when cross-engine conversion is involved (for example Oracle PL/SQL to PostgreSQL PL/pgSQL). Opsio's database migration services include AWS DMS, Azure DMS, and Google Cloud DMS orchestration, AWS SCT and Azure Migrate for schema conversion, parallel-run validation, and production cutover with tested rollback. Typical cost: $10,000-$40,000 per database depending on size and engine conversion complexity.

What does cloud migration consulting include?

Cloud migration consulting is the pre-execution engagement that produces the migration plan. It includes portfolio discovery and inventory, 7-R classification per workload (rehost, relocate, replatform, refactor, repurchase, retire, retain), target architecture design with platform selection (AWS, Azure, or GCP), dependency mapping, timeline and wave schedule, cost projections with current-state versus target-state TCO, risk register, and funding program application (AWS MAP, Azure AMMP, or Google Cloud RMP). The deliverable is a decision-ready migration plan that executive sponsors can sign off on. Consulting is packaged separately from delivery — engage us for strategy, then take delivery in-house or extend into managed execution. Typical consulting engagement: 3-6 weeks and $15,000-$60,000.

Do you offer GCP database and application migration?

Yes. We deliver Google Cloud migrations as part of our cloud migration practice with Google Cloud Partner certification. Database migrations target Cloud SQL (MySQL, PostgreSQL, SQL Server), AlloyDB (high-performance Postgres), or Spanner (globally-distributed SQL); analytics workloads target BigQuery with explicit query-cost modelling. Application migration uses Google Cloud Migrate to Virtual Machines (M4VM) for VM-based workloads or Migrate to Containers (M4C) for GKE-bound workloads. We handle RMP (Rapid Migration Program) funding applications to offset project cost. See our GCP migration strategy guide for the detailed wave pattern, tool selection criteria, and common failure modes specific to Google Cloud migrations.

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Editorial standards: Written by certified cloud practitioners. Peer-reviewed by our engineering team. Updated quarterly.

Published: Apr 2025|Updated: May 2025|About Opsio

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Cloud Migration Services — Move Fast, Break Nothing

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