Cloud engineering

Cloud foundations built for scale.

Architecture, migration and modernisation for organisations that need a platform they can secure, change and pay for. We build on AWS, Google Cloud and Microsoft Azure, and we modernise the applications that sit on them.

Technology ecosystems we build with

AWS, Google Cloud and Azure, chosen for the workload.

If you are looking for AWS consulting in Australia, or the same class of design on Google Cloud or Azure, we start from the workload and the operating model. A platform listed here is not a partnership or an endorsement.

AWS architecture

Accounts, networks, identity, delivery and the services that fit the application. Used where AWS is the right platform, not as a logo on a proposal.

Google Cloud architecture

Projects, IAM, networking and the data and application services a team will actually operate. Scoped to the estate you have.

Azure architecture

Subscriptions, identity, landing zones and integration with the Microsoft estate already in the organisation, where that is the constraint.

Migration and modernisation

Move what should move. Rebuild what blocks change.

Cloud migration in Australia often fails when the landing zone, the application and the operating team are designed separately. We treat them as one piece of work.

Cloud architecture

The target shape: accounts or subscriptions, network, identity and environments.

Cloud migration

A sequenced move with dependencies, cutover and a rollback that has been thought through.

Application modernisation

The parts of an application that stop delivery, replaced or isolated without a vanity rewrite.

Infrastructure as code

Environments described in code, reviewed and applied through a pipeline.

Terraform

Modules and state designed so more than one person can change them safely.

Containerisation

Packaging workloads where a container is the right unit of release.

Kubernetes

Clusters where the team can run them. Not a default for every service.

Serverless architecture

Event-driven and function-based designs where the operational model suits them.

Delivery, security and cost

A platform is finished when someone can run it.

Security, observability and cost are design inputs. We do not claim ISO 27001, SOC 2, IRAP, PCI DSS or HIPAA. If a control is required, we design for the requirement and say so plainly.

DevOps

Build, test and release paths that match how the team works.

CI/CD

Pipelines with review, promotion and a way to see what reached production.

Platform engineering

Paved paths so product teams are not each inventing an environment.

Cloud security

Identity, network boundaries, secrets, logging and least privilege.

Observability

Metrics, logs and traces that explain an incident, not only a green dashboard.

Disaster recovery

Recovery objectives that match the business, and a design that can meet them.

FinOps

Ownership of spend, tagging and the habit of looking at cost with the architecture.

Cost optimisation

Rightsizing, lifecycle and design changes that reduce waste without theatre.

Managed cloud operations

Monitoring, change and improvement after the migration project ends.

Next step

Have an AI or cloud initiative in mind?

Talk to Coplanar AI about your use case, architecture or proof-of-concept.