AWS
We set up AWS accounts and guardrails, move workloads with its migration tools and keep cost and access visible.
What We Do on AWS
AWS work begins with the account structure. We set the account hierarchy, guardrails and a shared network. Then we move servers with the AWS migration tools and rebuild data on Amazon S3 (object store), Amazon Redshift (warehouse) and Amazon RDS (managed databases). Containers run on Amazon EKS.
Migration runs in waves, each with a tested rollback. Cost planning starts with the current bill, then sets budgets and a monthly review. Access moves to IAM roles.
You provide an owner for each account, the current architecture and each system's service levels. You decide the account structure, and which systems move in the first wave. Both are recorded before it starts.
The Services
The AWS services in our catalogue, each described for this platform.
- Machine Learning and Predictive AnalyticsModels train and serve on Amazon SageMaker, the model service, with drift monitoring.
- Data Engineering and GovernancePipelines land in Amazon S3 and Amazon Redshift, with quality checks.
- Custom Software EngineeringApplications use AWS managed services where they fit the load.
- Web Platforms and PortalsPortals run on AWS with content, search and access at scale.
- Product Engineering and SaaSMulti-tenant products use account and tenant isolation with cost limits.
- Mobile ApplicationsMobile back ends use AWS authentication, storage and notifications.
- Application ModernisationApplications move in steps, with only the blocking parts changed.
- Application Management and SupportWe support applications on AWS, with monitoring and release control.
- APIs and Integration PlatformsAPIs and events run on API Gateway, EventBridge and SQS, the API, event and queue services.
- Cloud Strategy and MigrationServers and applications move with AWS migration tooling, wave by wave.
- Hybrid Cloud and Data CentreDirect Connect, the private link, joins your data centre, with placement recorded.
- AI InfrastructureGPU instances are sized from the workload and watched for idle capacity.
- DevOps and Platform EngineeringPipelines and infrastructure as code run with permissions from IAM roles.
- Managed Cloud and Site ReliabilityWe run the estate: monitoring, patching and reliability reviews.
- Cloud and AI Cost OptimisationIdle resources are found, budgets set and savings reported against a baseline.
- Identity and Access ManagementAccess moves to IAM roles with least privilege and a record of use.
- Cloud and Application SecurityWe inspect every account and pipeline, close exposed paths and gate each release.
- Post-Quantum CryptographyKeys and certificates are inventoried, with a quantum-safe migration plan.
Where These Projects Go Wrong
Small account decisions become large AWS bills. We remove the cause.
Accounts Grow Without Owners
New accounts appear with no owner, budget or logging. We agree the structure and labels first, so every account has both.
Cost Drifts After Launch
Spend rises through idle instances, unused volumes and unmanaged commitments. We rightsize, set budgets and review the largest changes.
Access Spreads Across Long-Lived Keys
Broad roles and old keys stay in use. We move access to IAM roles with short sessions and keep a record.
How a Project Starts
A project begins by making the account estate visible and safe.
Inventory the Accounts
We list accounts, workloads, data flows and spend. You receive a map with spend beside each owner. You choose the first workload.
Write the Guardrails
We design accounts, network, identity and guardrails as code. A test account proves each rule. You approve it first.
Prove One Migration Wave
We move one representative workload with the migration tooling. You receive the runbook, timing and rollback step. You set the next wave.
Questions
Questions a buyer brings to an AWS conversation.
Can you work with the AWS estate we already run?
Yes. We inspect accounts, networks, roles and spend, keep what works and change what blocks scale.
How do you move workloads without downtime?
Traffic moves only after a data check, and every cutover keeps a way back. One wave ends before the next begins.
How do you stop AWS costs drifting?
Budgets and labels sit on each account. We rightsize idle resources and review commitments.
Can you fix the way our teams get access?
Yes. Long-lived keys give way to job-scoped roles, with every use recorded.
Do you leave our team able to run it?
We hand over the code, runbooks and monitors. Your engineers then run it with us.
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Talk to Our Team
Tell us what you run today and what should change. An engineer answers with the next step.