NZ Expertise

AWS infrastructure built in code, not clicked together and forgotten.

Your cloud platform is part of the product. We build it that way.

The application might be the bit your customers see, but the infrastructure decides whether it stays available, keeps their data safe, and can be changed without everyone holding their breath.

We design and build AWS infrastructure for custom software, APIs, data workflows, and business-critical web platforms. We use the AWS Cloud Development Kit (CDK) to define it in TypeScript, so networks, services, databases, queues, permissions, and alarms live in code alongside the decisions behind them.

That gives you infrastructure that can be reviewed, reproduced, tested, and handed over. It also means staging can resemble production on purpose, rather than by a combination of memory and good luck.

Planning a platform or untangling an existing AWS account? Call Alex, our Technical Director. He's one of the people who will actually design the infrastructure.

Call Alex on 022 020 8262

The right AWS architecture is usually less exciting than the invoice for the wrong one.

Some platforms belong on ECS and Fargate behind a load balancer. Some jobs are a much better fit for Lambda and API Gateway. PostgreSQL might live in RDS, files in S3, public assets behind CloudFront, and slow or unreliable work on SQS where it can be retried safely.

We make those choices around traffic, data, recovery needs, deployment frequency, team size, and budget. Then we build the VPCs, subnets, security groups, certificates, DNS, container registries, secrets, service roles, and environment configuration that turn a diagram into a working platform.

AWS CDK keeps the whole setup explicit. Changes go through Git. A synth shows the CloudFormation being generated, and a diff shows what will change before it reaches an account. Reusable constructs keep the sensible defaults consistent without hiding the parts that are specific to your business.

The goal is not to collect AWS services. It is to build the smallest platform that meets the real requirements and has a clear path to grow.

Moving the platform is easy. Moving it without dropping the business is the actual job.

Existing platforms rarely get the luxury of stopping while their infrastructure is replaced. We plan staged migrations where old and new systems can coexist, with explicit gates for data transfer, traffic cutover, smoke testing, and rollback.

That can mean moving a web application from Elastic Beanstalk to ECS, replacing a third-party file feed with Transfer Family and S3, separating public assets from private customer uploads, or moving a database without losing the transactions that arrive during the switch.

Deployments get the same care. We use short-lived GitHub Actions credentials through AWS OIDC, build and tag immutable images, run database migrations as one-off tasks, wait for service health, and stop the rollout when a prerequisite fails. Production should not be the first place a deployment plan meets reality.

This is infrastructure we have built for systems people actually run businesses on.

For a training and commerce platform, we built separate development and production AWS environments with ECS services, PostgreSQL RDS, private service discovery, deployment rollback, CloudTrail, synthetic checks, cost controls, and dashboards covering the application from the load balancer to the database.

For a large automotive retailer, we designed an ECS and RDS platform alongside a managed inventory-ingress system using Transfer Family, API Gateway, Lambda, SQS, S3, and CloudFront. It can quarantine incoming data, validate it in shadow mode, publish media before the feed, retry failed work, and alert the team when data becomes stale.

Our own insurance platform uses purpose-built Lambda functions, API Gateway, SQS, PostgreSQL RDS, S3, Secrets Manager, and private networking. Separate CDK stacks handle staging and production, while dead-letter queues, throttling, centralised logs, Sentry, AWS Budgets, and cost anomaly detection make the system operable after launch.

If AWS only makes sense to the person who set it up, it isn't finished.

A green deployment is not the end of the job. We add health checks, structured logs, dashboards, and alarms around the failure modes that matter: unavailable services, exhausted database storage, growing queues, unhealthy targets, error rates, latency, and stale data.

Security starts with the shape of the platform. Databases and internal services stay off the public internet. IAM permissions are scoped to the resources that need them. Secrets are managed rather than copied into deployment files. Encryption, backups, deletion protection, audit trails, and access boundaries are decided before the launch checklist.

We also put cost visibility in place early. Budgets, forecast alerts, anomaly detection, storage lifecycle rules, sensible log retention, and environment-specific sizing make it much easier to spot waste before it becomes a permanent line item.

AWS infrastructure questions.

We build AWS platforms for web applications, APIs, background processing, file workflows, and data-heavy business systems. That can include ECS and Fargate, Lambda, API Gateway, RDS for PostgreSQL, S3, CloudFront, SQS, Transfer Family, VPC networking, and the monitoring and deployment systems around them. We choose services around the workload rather than using every AWS service with a logo.

Yes. We can bring an existing environment under infrastructure as code, improve its security and observability, or migrate workloads in stages. We plan coexistence, data movement, cutover, and rollback before changing production. A big-bang rebuild is rarely the safest first move.

AWS CDK lets us define infrastructure in TypeScript, review changes in Git, reuse tested patterns, and generate CloudFormation for repeatable deployments. Development, staging, and production can share the same architecture while keeping the differences that actually matter. It also gives the next developer a much better starting point than a collection of mystery settings in the AWS console.

Yes. Those are part of the platform, not extras for later. We use private networking, least-privilege IAM, managed secrets, encryption, deployment safeguards, logs, dashboards, alarms, synthetic checks, budgets, and cost anomaly detection where they fit. We also make sure there is a useful response when an alarm fires.

Building, migrating, or cleaning up AWS?

Let's make the infrastructure boring in the best possible way.

Tell us what the platform does, what is running in AWS today, and what keeps you awake during deployments. We'll ask about the workload, data, security, recovery, and budget, then work out a practical way forward.

Call us, or use the form. We promise not to answer every question with Kubernetes.

Phone: 09 929 1216