AWS Cloud Migration

Migrate to AWS when flexibility and control matter

Plan an AWS migration around landing-zone design, identity, networking, delivery paths, and governance so the platform is easier to run after workloads move.

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When AWS is the right fit

AWS is often the right choice when teams need broad service coverage, flexible architecture patterns, and room to support mixed workloads over time.

It is especially useful where the environment needs to accommodate legacy systems, modern cloud services, container platforms, and different levels of managed-service adoption within the same estate.

  • Mixed application portfolios

  • Teams that need broad infrastructure choice

  • Complex networking or environment segmentation

  • Platform teams that want strong control over how the estate is shaped

How StackTrack approaches AWS migration

The provider is only one part of the decision. The harder work is shaping AWS into a platform that supports secure delivery, clear governance, and predictable operations.

That means designing the landing zone first, then moving workloads into an environment that already has sensible account boundaries, access models, networking patterns, delivery workflows, and observability paths.

  • Design the account and environment model early

  • Treat IAM as a platform decision, not a setup task

  • Build delivery and operational guardrails before migration waves start

  • Control cost and service sprawl from the beginning

Approach and Mitigation

  • Where AWS migrations go wrong

    AWS rarely causes problems because it lacks capability. The problems usually come from how much freedom it gives without enough design discipline.

    • IAM grows complex quickly and becomes hard to review

    • Account structure is decided too late or inconsistently

    • Networking and environment boundaries are too flat

    • Teams rely on vendor defaults where stronger controls are needed

    • Cost visibility becomes fragmented across services and accounts

    The result is an AWS estate that works, but is harder to govern, more expensive to run, and more dependent on a small number of experienced engineers than it should be.

What you get

AWS landing zone

A structured AWS baseline with clearer account, environment, and control boundaries.

AWS identity model

IAM, role design, and service identity patterns that are easier to govern and audit.

AWS network and account design

Platform structure that reduces sprawl and supports more predictable operations.

AWS delivery controls

Release, deployment, and change paths designed to stay dependable after migration.

AWS cost and observability

Operational visibility and cost guardrails that reduce surprises once workloads are live.

How the service works

Challenges

IAM complexity.

AWS gives teams a lot of flexibility, but identity and permission boundaries become hard to review when role design is handled piecemeal.

Weak account structure.

Teams often start building workloads before the account model, environment separation, and ownership boundaries are properly defined.

Network sprawl.

VPC, routing, peering, and access patterns become harder to reason about when networking is added incrementally without a platform view.

Cost fragmentation.

Spend is spread across many services and accounts, making cloud economics harder to govern after migration.

Operational dependency on specialists.

The platform ends up relying on a few engineers who understand the AWS estate well enough to debug and change it safely.

Capabilities

AWS landing zone

A structured AWS baseline with clearer account, environment, and control boundaries.

AWS identity model

IAM, role design, and service identity patterns that are easier to govern and audit.

AWS network and account design

Platform structure that reduces sprawl and supports more predictable operations.

AWS delivery controls

Release, deployment, and change paths designed to stay dependable after migration.

AWS cost and observability

Operational visibility and cost guardrails that reduce surprises once workloads are live.

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