Cloud Migration Services

We move workloads from on-premise, Heroku, DigitalOcean, and other platforms to AWS, GCP, or Azure. Phased approach, infrastructure as code, rollback plan at every step.

Sound familiar?

Heroku or DigitalOcean costs keep climbing

Dynos and add-ons get more expensive as you grow. No control over infrastructure, no room to optimise.

On-premise servers are aging out

Hardware procurement takes months. Colocation costs rise yearly. Every outage is a gamble without full redundancy.

You don't know which cloud to pick

AWS, Azure, GCP - every vendor promises the best fit. You need an objective assessment tied to your actual stack.

The team fears production cutover

Migrating production sounds risky. Nobody wants to own a multi-hour outage.

You migrated yourself, but costs are higher than on-prem

EC2 instead of managed services, no reservations, oversized instances. Cloud is more expensive because the architecture wasn't optimised.

No one to maintain the new environment

Migration is just the beginning. Who patches, monitors, and responds to incidents after the move?

What changes after migrating with Devopsity

Infrastructure as Code from day one

Infrastructure as Code from day one

Every environment is reproducible, versioned, and auditable. No more clicking in consoles.

Costs under control from the start

Costs under control from the start

FinOps built into the migration plan. Right-sizing, reservations, and budgets set before the first workload hits production.

Zero unplanned downtime at cutover

Zero unplanned downtime at cutover

Phased approach with blue-green cutover and rollback plans at every step. Production keeps running.

Team ready to operate

Team ready to operate

Documentation, runbooks, and knowledge transfer. Or we take over CloudOps on a retainer.

How we solve migration problems

Problem

PaaS costs keep climbing

We move workloads to ECS Fargate, Cloud Run, or AKS with pay-as-you-go pricing and FinOps from day 1. Typical savings of 30-50% vs Heroku.

Problem

On-premise servers are aging out

Phased migration starting with a PoC - no capex, with AWS MAP funding covering up to 80% of project costs.

Problem

Don't know which cloud to pick

Assessment based on your existing stack, compliance requirements, and cost profile. We don't push one vendor - we match the platform to the situation.

Problem

Team fears production cutover

Rollback plan at every stage. Blue-green cutover with automatic switchover after validation. Production keeps running.

Problem

Costs higher than on-prem after migration

Audit and re-platforming - replace EC2 with managed services, right-size instances, apply Savings Plans. We reduce the bill without architecture changes.

Problem

No one to maintain the new environment

After migration we take over CloudOps or train your team. Runbooks, monitoring, and incident response included in a retainer.

Why migrate to the cloud

Flexibility and scalability

Flexibility and scalability

Scale compute, storage, and networking on demand. No hardware procurement cycles, no capacity guesswork.

Cost optimisation

Cost optimisation

Replace fixed data-centre costs with pay-as-you-go pricing. Right-size resources from day one with FinOps practices built into the migration plan.

Security and compliance

Security and compliance

Encryption at rest and in transit, IAM policies, audit logging, and compliance frameworks (SOC 2, ISO 27001, GDPR) supported natively by AWS, GCP, and Azure.

High availability

High availability

Multi-AZ and multi-region architectures with automated failover. Designed for minimal downtime during and after migration.

Performance

Performance

Access to current-generation compute, managed databases, and global CDN infrastructure. Measurable latency improvements from the first migrated workload.

Automation

Automation

Infrastructure as Code, CI/CD pipelines, and GitOps workflows replace manual provisioning. Every environment is reproducible.

How we deliver cloud migration services

Our process is based on frameworks from leading cloud providers (AWS MAP, Azure CAF, GCP Migration Framework) and scaled to fit your project. Smaller migrations follow a streamlined cycle; larger estates go through the full phased approach.

1

Phase 1: Assess

Audit your current environment, map application dependencies, evaluate migration readiness, and build the business case.

  • Infrastructure and application inventory (Discovery)
  • Service dependency mapping
  • Workload classification using the 7R strategy
  • TCO analysis comparing current vs target costs
  • Organisational and skills readiness assessment
  • Qualification for funding programmes (AWS MAP, AWS PoC, AWS IW for startups, Azure PoC)
2-4 weeks
AWS MAP: Assess | Azure CAF: Strategy + Plan | GCP: Assess
2

Phase 2: Mobilize

Build cloud foundations, validate architecture through a PoC, and prepare the team for migration.

  • Landing Zone design (networking, IAM, policies)
  • Target architecture as code (Terraform/Bicep)
  • Infrastructure CI/CD pipeline configuration
  • Proof of Concept on 1-2 representative workloads
  • Performance, cost, and compliance validation
  • Wave-based migration plan with application sequencing
  • Team training on new tools and processes
2-6 weeks
AWS MAP: Mobilize | Azure CAF: Ready | GCP: Plan
3

Phase 3: Migrate

Move workloads in waves from non-production to production. Every wave has a rollback plan.

  • Wave-based migration - dev, staging, production
  • Database migration (DMS, pg_dump, native replication)
  • Application containerisation and deployment to target platform
  • Monitoring and alerting configuration
  • Performance and integration testing after each wave
  • Blue-green or canary cutover for production
  • Rollback plan ready at every stage
3-12 weeks (per wave)
AWS MAP: Migrate & Modernize | Azure CAF: Adopt (Migrate) | GCP: Deploy
4

Phase 4: Modernize

Optimise the post-migration environment for cost, performance, security, and operational automation.

  • Instance right-sizing based on actual usage
  • Savings Plans / Committed Use Discounts implementation
  • Replace self-managed components with managed services
  • CI/CD pipeline optimisation and deploy time reduction
  • Security hardening (WAF, GuardDuty/Security Command Center)
  • Operational documentation and runbooks
2-4 weeks
AWS MAP: Migrate & Modernize | Azure CAF: Adopt (Modernize) | GCP: Optimize
5

Phase 5: Operate

Hand over the environment to your team or take over CloudOps on a maintenance retainer.

  • Knowledge transfer and team training
  • Documentation, runbook, and dashboard handover
  • On-call process and escalation configuration
  • Optional full CloudOps takeover by Devopsity
  • Quarterly cost and architecture reviews
Ongoing
AWS MAP: Post-migration | Azure CAF: Govern + Manage | GCP: Optimize (continuous)

AWS Migration - our specialisations

Containers: ECS Fargate and EKS

We containerise applications and deploy to ECS Fargate (serverless) or EKS (Kubernetes). Platform selection based on team size and operational requirements.

Databases: RDS, Aurora, DynamoDB

We migrate databases to AWS managed services with automated backups, Multi-AZ failover, and point-in-time recovery. PostgreSQL, MySQL, MongoDB, and Redis supported.

Infrastructure as Code: Terraform and CloudFormation

All infrastructure defined as code in Terraform (or CloudFormation). Environments are reproducible, versioned, and auditable.

Funding: AWS MAP and PoC

As an AWS Advanced Tier Partner we help secure funding covering 70-80% of migration costs through the Migration Acceleration Program (MAP) and Proof of Concept (PoC) programmes.

GCP Migration - our specialisations

Containers: Cloud Run and GKE

Cloud Run for stateless workloads (zero cluster management) or GKE with Autopilot for full Kubernetes. Platform matched to application profile and team maturity.

Databases: Cloud SQL, AlloyDB, Firestore

We migrate databases to GCP managed services with automated failover, backups, and scaling. AlloyDB for demanding PostgreSQL workloads.

Data and analytics: BigQuery and Dataflow

We move data pipelines to BigQuery (serverless data warehouse) and Dataflow (streaming/batch ETL). Cost optimisation via partitioning and slot reservations.

Infrastructure as Code: Terraform

All GCP infrastructure defined in Terraform with modules for Landing Zone, VPC, IAM, and workloads. Versioned, reproducible, auditable.

Azure Migration - our specialisations

Applications: App Service and AKS

App Service for .NET and Java applications (PaaS without infrastructure management) or AKS for containerised microservices. Landing Zone as the foundation of every migration.

Databases: Azure SQL, Cosmos DB

We migrate SQL Server databases to Azure SQL (managed) or Cosmos DB for NoSQL workloads. Azure Database Migration Service for minimal-downtime migrations.

Microsoft 365 and Entra ID integration

For organisations already using the Microsoft ecosystem - integration with Entra ID (Azure AD), Conditional Access, and Microsoft 365. SSO and identity management natively.

Infrastructure as Code: Terraform and Bicep

Azure infrastructure defined in Terraform (preferred for multi-cloud) or Bicep (native Azure IaC). Landing Zone with Hub-Spoke networking and policy-driven governance.

Specialized migrations

Some workloads require a dedicated approach and qualify for additional funding programmes across all major cloud providers.

VMware

Migrate VMware environments to the cloud without application changes. AWS (VMware Cloud on AWS), Azure (Azure VMware Solution), and GCP (Google Cloud VMware Engine) offer native vSphere compatibility. Dedicated funding tracks in AWS MAP and Azure Migration Program.

Oracle

Migrate Oracle databases and E-Business Suite to the cloud. AWS RDS for Oracle, Oracle on EC2 with BYOL, Azure Database Migration Service, and GCP Bare Metal Solution. Special licensing rules and MAP funding for Oracle workloads.

SAP

Migrate SAP S/4HANA and NetWeaver to certified cloud environments. AWS, Azure, and GCP hold SAP certifications and offer dedicated SAP migration funding (AWS MAP for SAP, Azure Migrate for SAP, GCP SAP on Google Cloud).

What determines cloud migration cost

Environment complexity

Number of applications, microservices, databases, and external system integrations directly impacts migration time and cost.

Compliance requirements

Regulated environments (fintech, healthcare, public sector) require additional configuration: encryption, audit logging, network isolation - increasing project scope.

Degree of modernisation

Lift-and-shift (1:1 move) is faster and cheaper than re-architecting (microservices, containerisation, serverless). The approach is matched to business objectives.

Number of environments

Migrating a single production environment is the minimum. Most organisations need dev, staging, and production - each requiring IaC and CI/CD configuration.

Industries we migrate

FinTech and financial services

Financial sector migrations require end-to-end encryption, full audit trails, and PCI DSS / SOC 2 compliance.

We deliver migrations maintaining transaction continuity with full production environment separation.

  • Data encryption at rest and in transit (KMS, CMEK)
  • Network isolation and Private Link
  • Audit logging and compliance monitoring
  • Zero-downtime cutover for transactional systems
  • AWS MAP funding for regulated entities

SaaS and digital products

SaaS companies most commonly migrate from Heroku, DigitalOcean, or self-managed infrastructure. Key concerns are scalability and per-tenant costs.

We design multi-tenant architectures with data isolation and elastic scaling.

  • Containerisation and migration to ECS/Cloud Run/AKS
  • Multi-tenant architecture with data separation
  • Auto-scaling and per-workload cost optimisation
  • CI/CD pipelines and GitOps from day 1
  • Database migration with minimal downtime

E-commerce

Online stores require 24/7 high availability and elastic scaling during peak periods (Black Friday, campaigns).

We migrate e-commerce platforms with zero sales downtime guarantee.

  • Multi-AZ architecture with automatic failover
  • CDN and edge caching for load speed
  • Auto-scaling for traffic peaks
  • Product database and order system migration
  • PCI DSS compliance for online payments

Why Devopsity

  • AWS Advanced Tier Partner with Solutions Architect and DevOps Engineer Professional certifications
  • Certified GCP architects and Azure partnership
  • Migration experience from Heroku, DigitalOcean, OVH, and on-premise
  • FinOps built into every migration project
  • AWS MAP funding - covering up to 80% of migration costs
  • European timezone, direct communication in English and Polish

Our certifications

AWS Advance Tier Service Partner
AWS Solutions Architect - Professional
AWS Security Speciality
AWS DevOps Engineer - Professional
AWS SysOps Administrator - Associate
Cloud Architect - Professional - Google Cloud Certified
Cloud DevOps Engineer - Professional - Google Cloud Certified
Cloud Security Engineer - Professional - Google Cloud Certified
Cloud Engineer - Associate - Google Cloud Certified
Microsoft Azure Partner
Certified Kubernetes Administrator (CKA)
Certified Kubernetes Security Specialist (CKS)
AWS Advance Tier Service Partner
AWS Solutions Architect - Professional
AWS Security Speciality
AWS DevOps Engineer - Professional
AWS SysOps Administrator - Associate
Cloud Architect - Professional - Google Cloud Certified
Cloud DevOps Engineer - Professional - Google Cloud Certified
Cloud Security Engineer - Professional - Google Cloud Certified
Cloud Engineer - Associate - Google Cloud Certified
Microsoft Azure Partner
Certified Kubernetes Administrator (CKA)
Certified Kubernetes Security Specialist (CKS)

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Frequently asked questions

Cloud migration services cover the end-to-end process of moving applications, data, and infrastructure from one environment to another - typically from on-premise servers or a legacy PaaS (like Heroku or DigitalOcean) to a public cloud platform such as AWS, GCP, or Azure. This includes assessment, architecture design, data migration, testing, cutover, and post-migration support.

The core migration methodology is similar, but the target services differ. AWS cloud migration typically uses ECS or EKS for containers, RDS for databases, and CloudFormation or Terraform for IaC. GCP cloud migration uses Cloud Run or GKE, Cloud SQL, and Terraform. We select the platform based on your existing stack, team skills, compliance needs, and cost profile.

On-premise to cloud migration starts with a detailed inventory of your physical or virtualised infrastructure - servers, storage, networking, and application dependencies. We then design a target architecture on AWS, GCP, or Azure, migrate workloads in phases (typically dev/staging first, then production), and decommission on-premise resources once validated.

A single-application migration can complete in 2-4 weeks. Larger estates with multiple applications, databases, and compliance requirements typically take 2-6 months. We scope every engagement with a detailed timeline before work begins.

Yes. Heroku to AWS migration is one of our most common engagements. We containerise Heroku applications, move them to ECS Fargate or EKS, migrate databases to RDS, and rebuild CI/CD pipelines - all defined as infrastructure as code. See our Heroku to AWS case study for a detailed example.

Yes. Not every workload belongs in the public cloud. We design hybrid architectures where latency-sensitive or compliance-restricted workloads remain on-premise while other services run on AWS, GCP, or Azure, connected via VPN or dedicated interconnects.

Migration cost depends on the number of applications, databases, compliance requirements, and degree of modernisation. A simple single-application migration takes 2-4 weeks of engineering time. Complex multi-service environments require 2-6 months. We scope every engagement with a detailed estimate before work begins. As an AWS Advanced Tier Partner, we help clients access migration funding (MAP and PoC programmes) that can cover 70-80% of project costs.

Yes. Kubernetes migration is a common part of our projects. We containerise applications, design Helm charts, configure EKS, GKE, or AKS clusters, and build CI/CD pipelines for container deployment. We also handle migrations between K8s platforms (e.g. self-hosted to managed EKS). See our Kubernetes on Proxmox case study.