AWS

Usually no. A second cloud doubles the surface an organisation has to secure and staff: two identity models, two network designs, two sets of operational knowledge to keep current. Resilience is generally better bought with a multi-region design on AWS than with a second provider.

The cases that justify it are specific: a regulator requiring a demonstrated exit path, a workload that depends on a service AWS lacks, or an acquisition arriving with its own estate. Keeping workloads in containers and infrastructure in Terraform preserves the option without paying for it early.

Landing zone first. Account structure, network topology, identity and guardrails are the parts of an estate that are expensive to retrofit once workloads sit on top of them. Defined in code, a landing zone does not need to be a programme of work, and every workload that follows inherits its controls.

Lift-and-shift then becomes a per-workload decision inside that structure rather than a strategy on its own. Rehosting into a well-governed landing zone is often the right first move; rehosting into an ungoverned account creates a second legacy estate at cloud prices.

Neither is a default; the workload decides. Lambda suits event-shaped and bursty work, queue consumers, scheduled jobs and APIs with idle periods, where scale-to-zero and per-request billing fit the traffic. ECS or EKS suits long-lived services with steady load, where a warm process, predictable latency and full control of the runtime matter more.

Cost crosses over at sustained load: steady high traffic is usually cheaper on containers, while spiky or low traffic is usually cheaper on Lambda. We model both against expected traffic before committing either way.

Yes, with a dated-corpus caveat. AWS is among the most heavily documented platforms in public training data, so coding agents produce plausible CDK, Terraform and SDK code readily. The same history is the weakness: service APIs and recommended patterns have churned for two decades, and generated code often reflects a superseded runtime, instance family or SDK version.

The discipline that catches this already exists in infrastructure as code. A plan or synth step shows exactly what would change before anything does, which gives an agent, and its reviewer, a precise correctness signal. The measured results of our AI-augmented delivery flow are on the Technology page.

Legibility. An estate defined in CDK or Terraform is text an agent can read whole, change as a diff, and check with a plan before anything applies. A console-built estate gives the tooling nothing to work on: its state must be discovered through APIs, and there is no definition to change or plan against.

Importing a console-built estate into Terraform or CDK is therefore the first step, and it improves ordinary operations regardless of the tooling that follows.

A shortlist for general AWS engineering usually reaches you within 48 hours of a brief, drawn from people Adaca already employs or already knows. Landing-zone design, network architecture and migration tooling are narrower specialisations; dedicated recruitment covers what the existing pool does not.

Engagements start at one engineer, on terms of three, six, nine or twelve months chosen up front, and engineers work to the customer's working day.