AWS infrastructure & compute.

We design, deploy and operate Amazon Web Services environments tailored to the application running on them — a managed AWS service from Singapore for organisations across Asia-Pacific.

Environments are sized against the application’s measured demand rather than a default template, and scaling behaviour is configured so capacity follows traffic. Backup and failover are specified as part of the same design, so recovery position is known before it is needed rather than established during an incident.

Compute provisioned to the workload

The most common failure of a cloud estate is not an outage; it is paying every month for capacity that was provisioned for a launch and never revisited. An AWS environment designed properly starts from what the application actually does: its request pattern over a day and a week, its memory and CPU profile under load, how it degrades when a component is lost.

From that profile we specify the instance families and sizes, the auto-scaling policy that adds and removes capacity as demand moves, and the storage classes that match how data is actually accessed. Where a workload is containerised, Amazon ECS or EKS is deployed with the same discipline — node groups sized to real usage, not to the largest conceivable peak.

Every environment is expressed as infrastructure as code. Terraform or CloudFormation holds the definition, changes are reviewed before they are applied, and the environment can be reproduced in another region in hours if it ever needs to be.

Cost governance as an operating discipline

AWS pricing rewards commitment and punishes inattention. We audit the account on an ongoing basis, not as a one-time exercise: utilisation of every instance against its size, Savings Plan and Reserved Instance coverage against the steady-state baseline, S3 storage classes against access frequency, EBS volumes and snapshots no longer attached to anything, data transfer paths that cross availability zones or regions without needing to.

Each finding carries a number — what it costs today, what it would cost after the change, and any risk in making it. Decisions are made on that basis, and the resulting saving is tracked in the monthly review so the estate does not drift back.

Recovery designed in, not bolted on

Backup and disaster recovery are specified at design time, against a stated recovery point and recovery time objective for each workload. AWS Backup handles scheduled snapshots with cross-region copy; failover architecture — from warm standby to active multi-region — is chosen to match the objective rather than the maximum available. Restores are tested on a schedule, because a backup that has never been restored is an assumption.

Where AWS sits in the wider estate

AWS is one of two cloud platforms we operate, behind a Cloudflare perimeter and alongside Google Cloud. Workloads are placed where they run best and connected with VPC peering or dedicated interconnect, so the estate is one routed path rather than two separate accounts.

Organisations engage us to take over an existing AWS account that has grown without an owner, to build a new environment for an application that is moving to the cloud, or to provide the infrastructure function that a small engineering team does not have time to be.