We move on-premises workloads, legacy applications, and hosted infrastructure to AWS, Azure, and Google Cloud — with zero-downtime cutover, compliance-first security design, and a tested rollback plan for every migration.
Cloud Platforms and Migration Tools We Use — AWS, Azure, Google Cloud, Terraform, Kubernetes, Datadog, HashiCorp Vault
Most cloud migration failures are not technology failures — they are planning failures. Organisations move workloads to cloud without a current-state application inventory, without mapping dependencies between services, and without a security control design that accounts for the cloud threat model. The result is a cloud-hosted legacy system that costs more to run than the infrastructure it replaced.
Perimattic approaches cloud migration as an engineering programme, not an infrastructure project. We begin with a cloud readiness assessment that maps every workload, its dependencies, its data flows, and its compliance obligations. We define a migration strategy for each workload individually — rehost where speed matters, replatform where managed services reduce operational burden, re-architect where the long-term business case justifies the investment.
Our cutover approach is parallel-run, not big-bang: the cloud environment receives live traffic alongside the legacy system, giving us the ability to validate behaviour in production before the legacy environment is decommissioned. Every migration has a tested rollback plan. No workload moves to production cloud without passing a validation gate.
Migration strategy
Ad-hoc, reactive approach as systems age and support contracts lapse
Migration strategy
Defined strategy and workload risk register before the first workload moves
Downtime risk
Extended maintenance windows with high rollback risk and user impact
Downtime risk
Zero-downtime parallel-run cutover with a tested rollback path retained throughout
Infrastructure sizing
Over-provisioned servers with no elasticity and fixed capacity ceilings
Infrastructure sizing
Right-sized cloud infrastructure with auto-scaling configured from day one
Security model
Legacy perimeter security model not suited to cloud-hosted distributed workloads
Security model
Cloud-native IAM, VPC, and encryption-first security design from the start
Cost predictability
Unpredictable hardware refresh cycles and rising data-centre facility costs
Cost predictability
Predictable cloud spend with cost tagging, Reserved Instances, and governance
The planning decisions made before a single workload moves determine whether cloud migration reduces cost and complexity — or simply relocates the same problems to a different provider.
Seven specialist service lines covering every layer of your enterprise cloud migration.
Move on-premises virtual machines and workloads to cloud infrastructure with minimal code changes. The fastest path to cloud with a tested rollback plan and parallel-run cutover.
Targeted refactoring to replace self-managed infrastructure components with managed cloud services — RDS, Elasticache, managed Kubernetes — without full application re-architecture.
Re-architect legacy monoliths as cloud-native applications: microservices on Kubernetes, serverless compute, event-driven architecture, and managed cloud data services.
Online replication-based database migration with zero-data-loss cutover. Homogeneous and heterogeneous migrations with full schema conversion and validation.
VPC design, IAM policy modelling, encryption at rest and in transit, security group configuration, and compliance control mapping for PCI-DSS, HIPAA, ISO 27001, and SOC 2.
Right-sizing, Reserved Instance and Savings Plan configuration, auto-scaling policy design, storage tiering, and cost tagging governance to ensure cloud spend is lower than legacy infrastructure costs.
90-day post-migration monitoring, performance tuning, cost optimisation review, and runbook documentation. Measured outcomes delivered against the original business case.
A structured six-stage process from free cloud readiness assessment to production cutover and 90-day post-migration optimisation.
We audit your application portfolio, infrastructure dependencies, data volumes, and compliance requirements to produce a migration readiness report and risk register.
We define the migration strategy for each workload — rehost, replatform, or re-architect — and sequence the migration roadmap to deliver early value on lower-risk workloads first.
We design the target architecture: VPC topology, IAM policy model, encryption configuration, and compliance control mapping for your industry's regulatory framework.
We migrate a representative non-critical workload, validate performance and security controls in production, and establish the runbook for the full migration programme.
We migrate remaining workloads using a parallel-run cutover with DNS traffic shifting, continuous data replication, and a tested rollback path retained for every service.
We right-size instances, configure Reserved Instance pricing, implement cost tagging governance, and deliver a 90-day optimisation review with measured outcomes.
We audit your application portfolio, infrastructure dependencies, data volumes, and compliance requirements to produce a migration readiness report and risk register.
We define the migration strategy for each workload — rehost, replatform, or re-architect — and sequence the migration roadmap to deliver early value on lower-risk workloads first.
We design the target architecture: VPC topology, IAM policy model, encryption configuration, and compliance control mapping for your industry's regulatory framework.
We migrate a representative non-critical workload, validate performance and security controls in production, and establish the runbook for the full migration programme.
We migrate remaining workloads using a parallel-run cutover with DNS traffic shifting, continuous data replication, and a tested rollback path retained for every service.
We right-size instances, configure Reserved Instance pricing, implement cost tagging governance, and deliver a 90-day optimisation review with measured outcomes.
Select an industry to see how we migrate enterprise workloads to cloud with zero-downtime cutover and compliance-first architecture.
Financial institutions migrating to the cloud must satisfy strict regulatory requirements — SOX, PCI-DSS, FCA, GDPR — while maintaining continuous availability of transaction processing systems and preserving full audit trail integrity throughout the migration.
Financial institutions migrating to the cloud must satisfy strict regulatory requirements — SOX, PCI-DSS, FCA, GDPR — while maintaining continuous availability of transaction processing systems and preserving full audit trail integrity throughout the migration.
Healthcare cloud migration must preserve HIPAA compliance, clinical system availability, and patient data integrity — requiring careful workload sequencing, encryption-in-transit and at-rest from day one, and validated data migration with zero record loss.
Manufacturing organisations migrate to cloud to consolidate disparate regional systems, connect operational technology to enterprise analytics, and reduce the cost of maintaining on-premises infrastructure across multiple sites.
Retail cloud migrations are timed around trading calendars — migrations are sequenced to avoid peak trading periods, with pilot workloads validated before full cutover, and auto-scaling configured from the start to handle Black Friday traffic.
Government cloud migrations operate under stringent procurement constraints, data sovereignty requirements, and public accountability obligations — requiring assured-cloud environments, classified data handling, and full audit documentation throughout.
Media companies migrate to cloud to eliminate the cost of owned data-centre infrastructure, enable global content delivery, and access on-demand compute for rendering, transcoding, and live streaming workloads that spike unpredictably.
Perimattic's work resulted in stable production systems. The team was helpful, easily accessible, and communicative through email. Their professionalism was impressive.
Quality
4.5
Schedule
5.0
Cost
5.0
Willing to Refer
4.5
DevOps Managed Services · Oct 2023 – Aug 2024
24/7 monitoring and support for production environments plus Linux server administration for a leasing automation company.
The new architecture is scalable and highly efficient, saving a lot of money in fees. Perimattic provides high-quality IT consulting and cloud development work promptly and at great value. The team remains involved from the planning stage to providing support, showing diligence and proactiveness.
Quality
5.0
Schedule
5.0
Cost
4.5
Willing to Refer
5.0
AWS Migration (Legacy → Microservices) · Nov 2018 – Ongoing
Transitioned a travel systems company's legacy server system to an AWS-based microservices architecture with ongoing maintenance.
Four structural advantages that separate a successful cloud migration from an expensive cloud-hosted legacy system.
We assess every workload before recommending a migration strategy. Not every application benefits from lift-and-shift; not every team has the capacity for re-architecture. We match strategy to reality.
Our parallel-run cutover approach means users never experience downtime. We shift traffic incrementally, validate in production, and retain a tested rollback path until the legacy environment is safely decommissioned.
We do not copy legacy security controls into cloud — we redesign them. IAM, encryption, network segmentation, and compliance controls are built for the cloud threat model from day one.
The same engineers who assess your infrastructure design the target architecture, execute the migration, and deliver the post-migration optimisation. No handoffs, no context loss.
“The difference between a successful cloud migration and an expensive cloud-hosted failure is not the cloud provider — it is the planning done before the first virtual machine is created.”
Cloud migration is the process of moving an organisation's digital assets — applications, databases, servers, and data — from on-premises infrastructure or legacy hosting environments to cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Migration strategies range from rehosting (lift-and-shift, moving workloads with minimal changes) to replatforming (making targeted optimisations to take advantage of managed cloud services) and re-architecting (redesigning applications as cloud-native, microservices-based systems). The right strategy depends on the age of the application, the business case for migration, and the acceptable timeline and budget.
Rehosting (lift-and-shift) moves applications to cloud with no code changes — virtual machines replace physical servers. It is the fastest and lowest-risk approach but captures the fewest cloud benefits. Replatforming makes targeted changes to use managed cloud services — replacing a self-managed database with Amazon RDS or Azure Database, for example — without re-architecting the application. Re-architecting (refactoring) redesigns the application to be cloud-native: breaking monoliths into microservices, adopting serverless compute, and using cloud-native data services. Re-architecting captures the greatest long-term operational and cost benefits but requires more time and investment.
The timeline depends on the migration strategy and the complexity of the workload portfolio. A cloud readiness assessment typically takes one to two weeks. A lift-and-shift migration of a moderate-complexity application typically takes four to ten weeks from assessment to production cutover. A replatforming engagement typically takes eight to sixteen weeks. A full re-architecting project for a legacy monolith can take twelve to twenty-four weeks or longer depending on the size of the codebase and the number of dependent systems. We sequence migrations to deliver early production value — non-critical workloads migrate first to build organisational confidence before business-critical systems are moved.
We implement a parallel-run cutover approach: the migrated environment runs in parallel with the existing environment, receiving live traffic via a DNS-weighted routing policy or a load-balancer traffic split. We validate application behaviour, performance, and data integrity in the cloud environment before gradually shifting traffic from the legacy system. Only when the cloud environment has processed sustained production traffic without issue is the legacy system decommissioned. Database migrations use online replication tools — AWS DMS, Azure Database Migration Service — that keep the cloud database synchronised with the source until cutover. This approach means users experience no downtime and the team retains a tested rollback path throughout.
The right choice depends on several factors: existing Microsoft or Google ecosystem investment, the specific managed services required for your workloads, data residency and compliance requirements, and commercial terms negotiated with providers. AWS has the broadest service catalogue and the largest global infrastructure footprint, making it the most common choice for greenfield cloud workloads. Azure is preferred when organisations have existing Microsoft licensing (Active Directory, Microsoft 365, SQL Server) and benefit from Azure Hybrid Benefit pricing. Google Cloud leads in data analytics, machine learning infrastructure, and Kubernetes (GKE) maturity. We are cloud-agnostic and help clients evaluate providers against their specific technical and commercial requirements.
We use a combination of online replication and batch transfer depending on the data volume, migration window, and acceptable lag. For relational databases, we use AWS DMS or Azure Database Migration Service to set up continuous replication from the source database to the cloud target, allowing cutover with minimal data loss. For large data archives, we use AWS Snowball or Azure Data Box for offline bulk transfer where network bandwidth would make online transfer impractical. All data migrations are validated using row counts, checksums, and application-level verification before the legacy data store is decommissioned. We document the full data lineage and transformation mapping for compliance and audit purposes.
Security is redesigned rather than inherited. We implement cloud security controls from day one: encryption at rest and in transit, identity and access management using cloud-native IAM with least-privilege policies, network segmentation with virtual private cloud architecture, and logging and monitoring with CloudTrail, Azure Monitor, or GCP Audit Logs. For regulated industries — financial services, healthcare, government — we map the relevant compliance framework (PCI-DSS, HIPAA, ISO 27001, SOC 2) to the cloud control set and document the shared responsibility model before migration begins.
Legacy infrastructure decommissioning is planned as part of the migration roadmap. Once a workload has been validated in production on cloud and the rollback window has closed, the corresponding on-premises resources are decommissioned and removed from the inventory. For organisations with data-centre lease commitments, we sequence the migration to align with exit dates, prioritising the workloads that will deliver the earliest cost savings. Some organisations retain a hybrid model for specific workloads — latency-sensitive edge computing, air-gapped classified systems, or hardware-dependent manufacturing equipment — and we design the cloud architecture to accommodate this.
Cloud cost optimisation begins with right-sizing: ensuring cloud instances are provisioned for actual workload demand, not for peak on-premises capacity. We implement auto-scaling so resources scale down during off-peak hours and scale up only when needed. We configure Reserved Instances or Savings Plans for predictable baseline workloads to reduce on-demand pricing by 30–60%. We implement cloud cost tagging governance so spend is attributed to the correct team, product, or environment. Post-migration, we provide a 90-day optimisation review that identifies unused resources, underutilised instances, and storage tiering opportunities.
We establish baseline metrics before migration begins — application response time, availability SLA, infrastructure cost per month, deployment frequency, and mean time to recovery — and measure the same metrics post-migration. Successful migrations typically show: equivalent or improved application performance, infrastructure cost reduction of 20–40% against the three-year total cost of ownership comparison, improved deployment frequency from CI/CD pipeline modernisation completed during migration, and improved availability from multi-region failover and managed service SLAs. We produce a post-migration report at 30 and 90 days that documents outcomes against the original business case.
Tell us about your infrastructure — the workloads you need to migrate, the compliance requirements you need to preserve, and the timeline you are working towards — and we will produce a cloud readiness assessment and migration roadmap in a free discovery call.