Cloud Migration & Modernization

Move to the Cloud Without the Guesswork

We assess your current environment, choose the right migration strategy for each workload, and run the cutover to AWS, Azure or GCP, with a clear rollback plan at every step.

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01What's Included

What a Migration Engagement Covers

Every migration is different, but the engagement structure stays consistent from discovery through to handoff.

  • Portfolio discovery & dependency mapping

    We inventory every server, database and service in scope, then map the dependencies between them, so nothing gets moved in the wrong order and breaks something two systems downstream.

  • Per-workload migration strategy

    Each application gets its own rehost, replatform, refactor, repurchase, retain or retire decision based on its complexity and business value, instead of forcing every workload through the same playbook.

  • Data & database cutover planning

    Replication, sync windows and cutover sequencing are planned per database, so the switch happens on a tested, defined path with a rollback option, not a one-way door.

  • Infrastructure as code

    The target environment is provisioned through Terraform or an equivalent, version-controlled and reviewed, so it can be rebuilt or replicated on demand instead of existing only as manual console changes.

  • Post-migration monitoring & optimization

    Once workloads are running in the cloud, we validate performance against the old environment, tune configuration and review cost, so the migration is confirmed as a win rather than assumed to be one.

02Migration Strategies

Six Ways to Move a Workload to the Cloud

A well-known framework for deciding how much change is worth making for each application. Not every workload needs the same approach.

  • Rehost

    Move a workload to the cloud largely as-is same OS, same application code just running on cloud infrastructure instead of physical or on-prem hardware.

    Best for

    Data center lease expirations, end-of-life hardware, or any migration where the deadline matters more than optimizing the target architecture.

  • Replatform

    Make targeted changes during the move, like swapping a self-managed database for RDS, without rewriting the application itself.

    Best for

    Workloads where offloading patching, backups or scaling to a managed service is worth it, but a full rebuild isn't.

  • Refactor

    Re-architect the application to take advantage of cloud-native patterns containers, managed queues, serverless instead of just relocating what already exists.

    Best for

    Core products expected to scale or evolve for years, where the current architecture is the actual limiting factor.

  • Repurchase

    Replace an existing system with a SaaS or fully managed alternative instead of migrating and maintaining it yourself.

    Best for

    Licensed, self-hosted software with a mature SaaS equivalent your team would trust in production.

  • Retain

    Keep a workload exactly where it is for now and revisit it in a later migration phase, rather than forcing every system onto the same timeline.

    Best for

    Systems tied up in compliance review, contractual lock-in, or already scheduled for retirement.

  • Retire

    Decommission systems that are no longer needed instead of paying to migrate and run them somewhere new. Discovery usually turns up more of these than expected.

    Best for

    Duplicate tooling, shadow IT, and applications nobody on the team has actually used in months.

03The Migration Journey

A Structured Path From Discovery to Handoff

The same five phases apply whether we're moving a handful of workloads or an entire environment.

  1. 01

    Discover & Assess

    We inventory every workload in scope, map the dependencies between them, and evaluate technical and business readiness, so the plan is built on what's actually running, not an outdated architecture diagram.

  2. 02

    Choose a Strategy

    Each workload gets matched to the path that fits it rehost, replatform, refactor, repurchase, retain or retire based on its complexity and how much value a deeper rebuild would really add.

  3. 03

    Migrate & Cutover

    Workloads move in planned waves rather than all at once, with a tested rollback path at every step, so a problem in one wave doesn't put the whole migration at risk.

  4. 04

    Validate & Secure

    Functionality, performance and security are validated against the original environment before handoff, so "the migration is done" means confirmed, not assumed.

  5. 05

    Optimize & Support

    Cost and performance are tuned once real traffic is running in the new environment, then the engagement moves into ongoing operational support rather than ending at cutover.

04Common Concerns

Migration Challenges We Plan Around

The concerns that come up most often when a business considers moving to the cloud.

  • High Infrastructure Costs

    Fixed capacity, aging hardware and long refresh cycles keep driving up spend, with little room to flex as demand actually changes.

    A right-sized cloud footprint from day one, with pay-for-what-you-use pricing and autoscaling replacing capacity bought to cover a worst-case guess.

  • Downtime Risk

    The fear that a cutover will disrupt the business or its customers is usually the single biggest reason a migration gets delayed.

    Wave-based migrations with a tested rollback plan at every stage, so a cutover can be reversed within minutes if something doesn't go as expected.

  • Security & Compliance Gaps

    It's rarely clear upfront how access controls, data handling and network boundaries are supposed to carry over into the new environment.

    Identity policies, encryption and network segmentation are designed and reviewed before the first workload moves, not retrofitted after an audit flags a gap.

05Beyond Lift & Shift

Modernize While You Migrate

Migration is also a natural point to leave behind patterns that no longer serve you.

  • Move to Containers

    Applications get packaged into containers and run on a managed service like ECS, EKS or GKE, instead of your team patching and managing servers directly.

  • Move to Serverless

    Event-driven workloads shift to Lambda, Cloud Functions or Azure Functions, so you stop paying for idle capacity between requests entirely.

  • Move to Managed Databases

    Patching, backups and failover get handed off to a managed database service like RDS, Cloud SQL or Azure SQL, freeing your team from routine database operations.

  • Modernize the Pipeline

    Infrastructure as code and CI/CD replace manual deployments, so shipping a change to the new environment doesn't mean logging in and running a script by hand.

06Doing It Yourself vs. Managed

What Changes When It's Managed for You

Migrating in-house is entirely possible. This is what a managed engagement typically changes.

In-House

  • Your team builds migration expertise while also running the migration
  • Rollback plans and cutover runbooks written from scratch
  • Security and compliance setup handled ad hoc, workload by workload
  • Post-migration monitoring and optimization are a separate project
  • Vendor and licensing decisions made under deadline pressure, without time to fully evaluate alternatives

Managed With Us

  • A team that's run this process before leads the engagement
  • Rollback plans and runbooks are part of the standard approach
  • Security and access controls designed in before the first cutover
  • Monitoring and optimization carry on as ongoing support after go-live
  • Vendor and licensing decisions evaluated ahead of time, as part of the migration plan itself

07Migration FAQ

Common Questions About Migrating to the Cloud

  • It depends on the number of workloads, their complexity and how many migration waves make sense for your business. We scope this during the discovery phase rather than quoting a generic timeline up front.

  • We plan each cutover in waves with a defined rollback path, aiming to minimize disruption. The exact approach depends on the workload: some support zero-downtime patterns, others need a short maintenance window.

  • We evaluate each workload against the six common strategies (rehost, replatform, refactor, repurchase, retain or retire) based on its complexity, business criticality and how much benefit a rebuild would actually deliver.

  • Yes. The same discovery-and-strategy approach applies whether the source is on-premise infrastructure or another cloud platform, and whether the destination is AWS, Azure or GCP.

  • Yes. Database migration and cutover planning (including minimizing replication lag) is part of the same engagement, not a separate project.

  • We move into optimization and, where wanted, ongoing operational support: monitoring, cost tuning and continued platform management.

Get started

Ready to Build on the Cloud?

Let's design a cloud environment on AWS, Azure or GCP that is secure, scalable, reliable and cost-effective.

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