Software Development

Cloud native applications hosted in Australian regions

Cloud native is not a hosting choice made at the end of a project. It is an architecture decision that determines what your monthly bill looks like and how quickly you can recover when something fails at four in the morning.

What is cloud applications?

Cloud Applications are systems designed for cloud infrastructure from the start, using containers, managed services, automated deployment and built in observability rather than software installed on a server. It suits Australian organisations that need elastic capacity, credible uptime, data held in Australian regions and infrastructure they can rebuild from code.

Get a fixed written quote
Typical timeline
14 to 28 weeks
What drives cost
Depends on your traffic pattern, storage volumes, uptime requirement and how much sits on managed services.
Best for
Variable workloads, uptime commitments and data that must stay onshore
You own
The cloud accounts, the infrastructure code and the deployment pipelines
Built with
Containers, infrastructure as code, CI/CD pipelines, structured observability
How it stacks upApplication containersManaged data servicesIdentity and secretsCloud infrastructure
Deployment and monitoring are built in, so scaling is a setting, not a project.

Your handover

Choosing between AWS, Azure and Google Cloud

Cloud application development starts with a provider decision. For most Australian workloads all three are technically capable, and anyone who tells you otherwise is selling a partnership. The decision usually comes down to four practical factors: what your team already knows, what your existing licensing makes cheaper, whether a customer or tender document specifies a provider, and which managed services you will genuinely lean on.

  1. 01Architecture documentation with the residency position stated
  2. 02Containerised application and build pipeline
  3. 03Infrastructure defined as code for every environment
  4. 04Automated deployment with rollback and staged release
  5. 05Structured logging, tracing and metrics with dashboards
  6. 06Alerting tied to runbooks and named owners
  • Backup and restore procedures verified by a real restore
  • Cost model with tagging and budget alerts
  • Cloud accounts and credentials held in your name
Google Cloud tends to win where data and analytics workloads dominate

In practice, organisations already running Microsoft 365 and Entra ID often land on Azure because identity and licensing line up, and the Australia East region in Sydney covers most needs. Teams with existing Linux and container experience frequently prefer AWS for the breadth of managed services and the Sydney and Melbourne regions. Google Cloud tends to win where data and analytics workloads dominate. What matters more than the logo is avoiding gratuitous lock in on the parts you might want to move: keep the application in containers, keep the database on a standard engine, keep the infrastructure defined as code. Then a provider change is a project rather than a rewrite. We will happily build on whichever one your organisation has already committed to.

Finding out that your restore procedure does not work during a real incident is an expensive way to learn.

Data residency in Australian regions, and what sovereignty actually means

Residency and sovereignty get used interchangeably and they are not the same thing. Residency is where the data is physically stored, and it is straightforward to satisfy by deploying into Australian regions and configuring backups, logs and replicas to stay there too. The detail people miss is that backups and log aggregation often default elsewhere, which quietly undoes the whole arrangement.

Ambiguity here is what stalls contracts at the security review stage

Sovereignty is the harder question of which legal jurisdictions could compel access, and it depends on the provider entity, the support model and who administers the environment. If you are selling to government agencies, working in health, or handling records under the Privacy Act 1988, get the requirement in writing from the buyer early, because the difference between onshore hosting and a certified sovereign arrangement is significant in both cost and available services. We document the residency position for every component in the architecture note, including where support staff sit, so you can answer a procurement question with evidence rather than reassurance. Ambiguity here is what stalls contracts at the security review stage.

How the engagement runs

Cloud cost is an architecture decision, not a procurement one

Cloud bills grow through accumulation rather than a single bad choice. An oversized database provisioned for a launch spike and never resized. Development environments running through the weekend. Snapshots retained for years. Logs kept at full fidelity because nobody set a policy. Data transferred between availability zones on every request because of where two services were placed.

  1. 01Stage 1Tag every resource by environment, service and owner so the bill can be read rather than guessed at
  2. 02Stage 2Right size compute and databases against observed usage after a few weeks of real data, not against launch day assumptions
  3. 03Stage 3Apply storage lifecycle rules so older objects move to cheaper tiers and expire on a defined schedule
  4. 04Stage 4Set log and metric retention deliberately, keeping full detail for a short window and summaries for longer
  5. 05Stage 5Shut down non production environments outside working hours
  6. 06Stage 6Move steady baseline workloads onto committed pricing once the pattern is proven, keeping variable load on demand
  7. 07Stage 7Set a budget alert at a threshold that gives you time to act rather than notifying you after the fact
DiscoverDesignBuildTestHandover
Two decisions on your side that keep the project moving

Cost control belongs inside cloud application development, so we design against those from the start and review the bill as a normal part of the engagement rather than as an emergency response to a surprise. The steps below are what we work through, and most organisations find meaningful savings in the first pass without touching functionality.

What observability has to tell you at two in the morning

Monitoring that only reports whether a server is up is close to useless in a distributed system. The question during an incident is never whether the machine is on. It is which request path is failing, for which customers, since when, and what changed.

Structured logs with a correlation identifier that follows a request across services

So we instrument for that specifically. Structured logs with a correlation identifier that follows a request across services. Distributed tracing so a slow response can be attributed to the exact call responsible. Metrics on the handful of signals that matter operationally, being error rate, latency percentiles, saturation and queue depth, rather than a wall of graphs nobody reads. Alerts tied to symptoms customers actually feel, routed to a named person with a runbook attached, because an alert without an action is just noise that trains people to ignore alerts. We also put a health endpoint and a status page in place, and we run at least one deliberate failure drill before go live. Finding out that your restore procedure does not work during a real incident is an expensive way to learn.

Getting there from a server you already run

Very few Australian organisations start from nothing. The usual situation is an application running on a virtual machine somewhere, or a physical server in a comms room that one person understands. The temptation is a full rewrite, and it is almost always the wrong first move because it combines a risky migration with a risky redevelopment.

Only then start replacing components where the benefit is clear

We prefer a staged path. Containerise the application as it is so it becomes reproducible and can be deployed by a pipeline instead of by hand. Move it to a managed environment and get the database onto a managed service with automated backups tested by restoring them. Add observability so you can see what the thing actually does under real load, which is frequently a surprise. Only then start replacing components where the benefit is clear. Each stage delivers value on its own and can be paused if priorities change. Where the work is mostly about the underlying platform rather than the application code, it belongs closer to cloud infrastructure and we scope it that way.

When cloud native is more machinery than you need

If your application serves a predictable number of internal users, has no seasonal peaks and works perfectly well today, full cloud application development is more machinery than the situation needs and container orchestration is a hobby rather than a requirement. A single well configured virtual machine with automated backups, a boring deployment script and monitoring will serve you reliably at a fraction of the operational overhead. We have recommended exactly that more than once.

Kubernetes in particular is worth resisting until you can name the problem it solves for you

Kubernetes in particular is worth resisting until you can name the problem it solves for you. It is excellent for many services with independent scaling needs and a team to operate it. For one application and one small team it adds a permanent tax on every change and a category of failure your staff cannot debug. Similarly, if the goal is simply a fast and reliable website, this is the wrong page and managed hosting is the right answer. Cloud native earns its complexity when load genuinely varies, when uptime has a contractual value, when you deploy frequently, or when you must rebuild an environment from code to satisfy an auditor.

How we scope it

Four ways to scope your Cloud Applications project

We do not publish package prices, because the same brief can be a short build or a long one. These are the shapes the work usually takes. Tell us which one sounds like you and you will get a fixed written quote that spells out exactly what it covers.

Discovery build

A scoped build with the architecture settled first

Fixed written quote, agreed before work starts

  • Architecture documentation with the residency position stated
  • Containerised application and build pipeline
  • Infrastructure defined as code for every environment
Request a quote
Most common

Product build

A working product your customers or staff use daily

Fixed written quote, agreed before work starts

  • Everything in Discovery build
  • Automated deployment with rollback and staged release
  • Structured logging, tracing and metrics with dashboards
  • Alerting tied to runbooks and named owners
Request a quote

Platform build

A platform with SSO, audit trails and a security review

Fixed written quote, agreed before work starts

  • Everything in Product build
  • Backup and restore procedures verified by a real restore
  • Cost model with tagging and budget alerts
  • Cloud accounts and credentials held in your name
Request a quote

Product care

A named engineer, a roadmap and real service levels

Rolling monthly, quoted in writing

  • A named engineer rather than a ticket queue
  • A roadmap you set, worked through each month
  • Dependency patching, monitoring and incident response
  • Rolling, cancel with 30 days notice
Request a quote

These are shapes, not menus. Most quotes end up somewhere between two of them, and we will say so when the honest answer is the smallest one. Describe the problem and we will tell you which it is.

Questions buyers usually ask

Frequently asked questions

How long does a cloud application project take?

Typically 14 to 28 weeks for a new build. Migrations of an existing application vary far more, since the unknown is the state of what you already have. We run a short assessment first to size that honestly, and the staged approach means the early phases deliver benefit before the full programme finishes. Compliance requirements and integration count are what move the estimate most.

What will it cost to run in the cloud each month?

That depends on your traffic pattern, storage volumes, uptime requirement and how much sits on managed services. We model it during architecture with a projected monthly figure and the assumptions behind it, then verify against real usage in the first month and adjust. Cloud spend goes directly to your provider on your own account, so there is no margin from us sitting in the middle of it.

Who holds the cloud accounts and the credentials?

You do. The AWS, Azure or Google Cloud account is opened under your business with your billing details, and we operate inside it with access you can revoke at any time. Infrastructure is defined as code in your repository, so the entire environment can be rebuilt by another team without needing anything from us. We never put a client environment inside an agency owned account.

Can you guarantee the data stays in Australia?

We can configure every component to use Australian regions and document it, including the parts that commonly default offshore such as backups, log aggregation, monitoring services and any AI features. What we cannot do is make a legal sovereignty guarantee on behalf of a global provider. If your obligation requires a certified sovereign arrangement, tell us at the start because it changes provider selection and the services available.

How do you handle disaster recovery?

We agree a recovery point objective and a recovery time objective in plain numbers first, since those drive the cost. From there the design might mean automated backups with tested restores, a warm standby in a second Australian availability zone, or full multi region redundancy. We then actually practise the recovery on a schedule and record how long it took, because an untested plan is a document rather than a capability.

Do we need a DevOps person on staff afterwards?

Not necessarily. We aim for infrastructure that a competent developer can operate without specialist knowledge, which is part of why we resist unnecessary complexity. Documentation, runbooks and automation carry most of the load. Some clients keep us on an ongoing arrangement for patching, monitoring and cost review, and others hand it to an internal team after a training period. Both work if the build was done with handover in mind.

Get an architecture you can defend to procurement

Tell us what the application has to do, who it serves and what your uptime and residency obligations look like. A reply comes back inside one business day, and the quote with it is fixed and written.