Cloud Architecture That's Secure, Resilient and Cost-Efficient

Cloud provider selection is driven by four factors: your existing enterprise agreements and committed spend (which can make one provider significantly cheaper than another), compliance and data sovereignty requirements (AWS's Australian regions and GovCloud designation, for example, are relevant for some government workloads), the specific managed services best suited to your workload (AWS leads on managed database services, GCP on large-scale data and ML infrastructure, Azure on Active Directory integration for Microsoft-heavy enterprises), and your internal team's operational familiarity. We do not have a preferred provider and will recommend the one that best serves your requirements — including multi-cloud where workloads have genuinely different optimal homes.

Infrastructure as code means your cloud environment is defined in version-controlled configuration files (Terraform HCL or AWS CDK TypeScript) rather than configured manually through cloud consoles. The practical benefits are substantial: your infrastructure becomes auditable (every change is a git commit with an author), reproducible (you can spin up an identical copy of your production environment for testing or disaster recovery), reviewable (infrastructure changes go through the same pull request process as application code), and recoverable (if a region goes down, you can provision the same environment elsewhere in hours). Organisations without infrastructure as code typically cannot answer the question "what is actually running in our cloud account?" with confidence — and find out why that matters during an incident.

For financial services organisations, APRA CPS 234 requires material information assets to be protected by information security controls commensurate with the threat environment. In practice this means: comprehensive logging and audit trails, access controls based on least privilege, penetration testing of internet-facing systems, and a tested incident response procedure. For government workloads, IRAP (Information Security Registered Assessors Program) assessment may be required depending on data classification. We have experience designing infrastructure that meets PROTECTED classification requirements and can assist with the IRAP assessment process. For healthcare, the Australian Digital Health Agency's security requirements and My Health Record system operator requirements drive additional controls. We engage with your compliance and legal team to understand which frameworks apply and implement controls systematically.

Cloud cost is highly variable and depends on your workload characteristics — compute-intensive vs I/O-intensive, traffic patterns, data transfer volumes, and managed service choices. We provide cost modelling during the architecture design phase based on your application's characteristics and growth projections, so you have a realistic number before deployment. For organisations with existing cloud spend, our cost-optimisation engagement walks the same six levers in sequence — right-sizing (matching instance sizes to actual utilisation), Savings Plans or Reserved Instance purchases for baseline compute, converting batch workloads to Spot instances, eliminating orphaned resources (snapshots, unattached EBS volumes, unused Elastic IPs), architecture changes (moving appropriate workloads to serverless or container-based models), and tagging discipline so cost attribution actually works. We will tell you the realistic savings range after reading the bill, not before.

Zero-downtime deployment is an architecture concern, not just a pipeline concern. It requires: the application itself to be stateless (no in-memory session state), database migrations that are backwards compatible with the previous version of the application (so both versions can run simultaneously during a rolling update), a load balancer that routes traffic gradually from the old version to the new, and health checks that validate the new version is actually serving traffic correctly before old instances are terminated. We implement blue-green deployments for applications that need to swap all traffic at once, and rolling deployments for those that can tolerate mixed versions. Every deployment strategy is coupled with an automated rollback trigger — if error rates spike above threshold after a deployment, traffic is automatically returned to the previous version without human intervention.

Whether you need an internal SRE team depends on the criticality of your workloads and the pace of infrastructure change. For organisations running business-critical applications 24/7 with strict SLAs, an internal or outsourced SRE function is necessary. We offer managed infrastructure operations as a service — covering 24/7 monitoring with defined response SLAs, incident management, capacity planning, security patch management, and regular architecture reviews. This is typically more cost-effective than building an internal SRE capability for organisations with fewer than 20 engineers. For organisations building internal capability, we offer a transition model: we operate the infrastructure while mentoring your internal team, then hand over operations with a defined competency milestone as the transfer condition.