Cloud Solutions
Cloud solutions that connect infrastructure, APIs and legacy systems, staged to keep the business trading throughout migration.
Quick answer: Cloud solutions work when integration between infrastructure, APIs and existing systems is mapped and staged before migration begins.
- Cloud Engineering
- Platform Engineering
- Application Modernisation
- System Integration
Quick answer
What does a cloud solution actually include beyond hosting servers offsite?
A cloud solution is the engineering work that connects infrastructure, APIs and legacy systems into one working platform. Relocating servers to a provider's data centre only solves the hosting half of the problem.
Additional Context
Most migration budgets are spent on infrastructure and underspend on the integration layer connecting it to existing business systems.
Sources
- OAIC — Australian Privacy Principle 8 Guidelines
Guidance on obligations when personal information is disclosed to an overseas cloud provider.
- Digital Transformation Agency — Hosting Certification Framework
Framework certifying cloud hosting providers against Australian government security requirements.
Understanding Cloud Solutions
What a cloud solution actually covers
For a growing business, a cloud solution rarely means simply renting server space somewhere else. It means connecting infrastructure, application programming interfaces and the software already running daily operations, whether that's accounting in Xero, customer records in HubSpot or product data in Shopify, into a platform that stays reliable as transaction volume grows. That connective layer is where most of the engineering effort actually sits, and it's the layer many providers underquote when pricing a migration.
Day-to-day, this shows up as cloud infrastructure operations: monitoring, patching, scaling and cost control running continuously in the background, not a one-off migration project that finishes and gets handed over. A business moving core systems to the cloud is taking on an ongoing operational responsibility, and the providers who treat it that way tend to avoid the surprise cost blowouts that make headlines.
Cloud engineering, platform engineering and where they overlap
Cloud engineering focuses on the infrastructure layer itself: compute, storage, networking and the automation that provisions it reliably. Platform engineering sits a layer above, building the internal tooling and system integration capability that development teams use to ship features without re-solving deployment and connectivity problems each time. DevOps describes the collaborative practice between the two; site reliability engineering applies software discipline to keeping the resulting systems available under load. None of these disciplines replace API development. A cloud platform without well-designed APIs is still a collection of disconnected systems that happen to run in the same data centre.
Choosing infrastructure is a smaller decision than most planning documents suggest. The harder call is choosing between AWS, Azure and Google Cloud based on where the business's existing tooling, staff skills and compliance obligations actually sit, not which provider has the best marketing. A provider switch two years into operation is expensive regardless of which one is chosen first; the integration architecture built around it matters more than the label on the invoice.
Problem & Approach
The Integration Gap in Most Cloud Migrations
Problem
Most cloud migrations move compute and storage successfully but leave the integrations between finance, CRM and operational systems bolted together with fragile, undocumented connections that break the moment one system is upgraded, renamed or decommissioned.
Common Pain Points:
- Fragile point-to-point integrations Custom scripts connecting Xero, the CRM and warehouse software that nobody has documented since the original developer left.
- Unplanned downtime during cutover Big-bang migrations that take core systems offline for a weekend and surface integration failures only once staff are back at their desks.
- Vendor lock-in disguised as convenience Proprietary connectors that solve today's problem but make the next platform change more expensive.
Business Impact:
Time Wasted: Staff manually re-keying data between systems whenever an undocumented integration silently fails
Cost Implication: Recurring support costs patching integrations that should have been re-architected during the move
Opportunity Cost: Engineering time spent firefighting brittle connections instead of building new customer-facing capability
Solution
A staged approach that inventories every integration touchpoint before migration, re-platforms high-risk connections first via proper API contracts, and keeps the business trading throughout.
Our Approach:
- Integration audit and dependency mapping(Weeks 1-3)
Document every system-to-system connection, authentication method and data flow currently in production before any infrastructure changes begin.
- API-first re-platforming(Ongoing through migration)
Rebuild fragile point-to-point connections as versioned, documented APIs, migrating one integration at a time behind the existing infrastructure.
Expected Outcome: Systems stay connected and operational throughout the migration, with each integration validated before the next is touched.
Key Takeaways
What Actually Determines Whether a Cloud Move Works
- Integration mapping matters more than infrastructure choiceImportant
Most migration risk sits in the connections between systems, not in the choice between AWS, Azure or Google Cloud, so audit dependencies before selecting a provider.
- Platform engineering and DevOps solve different problemsImportant
DevOps focuses on deployment pipelines and release velocity, while platform engineering builds the reusable internal infrastructure teams deploy through, including APIs.
- Staged migration protects trading continuityCritical
Moving one integration or workload at a time keeps invoicing, CRM and order systems operational throughout, without a single high-stakes cutover weekend.
- Not every legacy system needs replacing to move to the cloudImportant
Some line-of-business software can be containerised and lifted as-is, with new API layers built around it, deferring a full rewrite until it's genuinely warranted.
Cloud solutions succeed when integration risk is mapped and staged before infrastructure changes begin. Choosing a provider first and patching connections afterwards is the pattern that usually fails.
Cloud Engineering Context for Australian Businesses
Regulatory and government-sector reference points relevant to businesses evaluating cloud infrastructure, particularly around data handling and certified hosting.
APP 8
Cross-border disclosure obligations
Significance: highUnder Australian Privacy Principle 8, businesses disclosing personal information to an overseas cloud provider must take reasonable steps to ensure the recipient doesn't breach the Australian Privacy Principles.
Source: OAIC, Australian Privacy Principles quick reference
Hosting Certification Framework
Government hosting certification
Significance: mediumThe Digital Transformation Agency operates a certification framework assessing cloud hosting providers against government security requirements, a useful reference point for regulated sectors selecting infrastructure.
Source: Digital Transformation Agency (digital.gov.au)
59%
Businesses using cloud technology
Significance: mediumABS business data shows a majority of Australian businesses use cloud technology, the context most cloud solution decisions now sit in.
Source: ABS Characteristics of Australian Business 2021-22
Methodology
Figures drawn from current Australian regulatory guidance and government statistical collections; qualitative context is used where specific adoption percentages are not independently verifiable.
Getting It Right in Practice
Lift-and-shift, re-platform or rebuild
Three broad paths exist for moving a system to the cloud: lift it as-is onto new infrastructure, re-platform it with a modern API layer around the existing logic, or rebuild it from scratch. Lift-and-shift is fastest and lowest-risk for software that works fine but needs to leave an ageing data centre. Re-platforming is the right call for systems that work but can't talk to anything else cleanly, which describes a large share of the line-of-business software still running mid-sized Australian operations. A full rebuild is rarely justified by infrastructure alone; it's justified when the underlying business logic no longer matches how the business actually operates, and staged application modernisation lets that decision be made system by system instead of all at once.
The failure mode most migration plans miss
The mistake worth naming directly: teams moving compute successfully during a migration frequently leave the connections pointing at what's being switched off. A service account, a hardcoded IP address, or a DNS entry buried in a scheduled task keeps referencing the old environment, and nobody notices until the integration that syncs orders to the warehouse system goes quiet for three days. The fix isn't a better migration checklist. It's treating every integration as an inventory item with an owner, a test case and a cutover date of its own, before infrastructure work begins.
Not every workload needs a server at all. The static site generation approach behind the FreeCamps build shows the other end of the spectrum: a data-driven site running on a zero-dependency static build with no server to patch, scale or migrate, because the traffic pattern and update frequency never warranted one. Matching the architecture to the scale a business is actually operating at, rather than the scale a vendor wants to sell infrastructure for, is usually the more useful conversation than which cloud provider to sign with.
Cloud Solutions: Common Questions
What is cloud engineering, and how is it different from just using cloud services?
Cloud engineering is the discipline of designing, building and operating the infrastructure, networking and automation that cloud services run on, not simply consuming a vendor's product. It covers infrastructure as code, security configuration, cost management and connecting cloud infrastructure to the business systems already in use, such as accounting, CRM or e-commerce platforms.
How does platform engineering differ from DevOps and SRE?
DevOps describes the culture and practices of teams building and releasing software together. Site reliability engineering (SRE) applies software engineering discipline to keeping systems reliable in production. Platform engineering sits beneath both, building the reusable internal tooling, APIs and self-service infrastructure that teams use instead of solving deployment and integration problems from scratch each time.
Is application modernisation always about rewriting legacy software?
No. Modernisation often means wrapping a working legacy system in a modern API layer, containerising it for cloud deployment, or migrating its data while retaining the core logic, deferring a full rewrite until it's genuinely warranted by business need. A staged approach lets a business keep trading on existing software while new capability is added around it, without pausing operations for a ground-up rebuild.
What should an API development project actually deliver?
A properly scoped API development project delivers a versioned, documented interface that other systems can integrate against predictably. Good practice includes clear authentication, error handling, rate limiting and a contract that doesn't break when the underlying system changes, so the CRM, warehouse software and e-commerce platform can all connect to it without custom one-off code for each.
Why do point-to-point integrations fail during a cloud migration?
Point-to-point integrations are usually built as quick scripts referencing specific IP addresses, service accounts or hardcoded credentials tied to the old infrastructure. When that infrastructure is decommissioned during migration, any connection nobody documented or tested against the new environment breaks silently, often surfacing days later as missing orders, unsynced invoices or stalled reporting rather than an obvious outage.
Should a growing business build custom cloud infrastructure or buy an off-the-shelf platform?
The honest answer depends on whether the workload is genuinely specific to the business or is a solved problem. Standard functions like accounting, payments or marketing automation are almost always better served by established platforms such as Xero, HubSpot or Shopify. Custom cloud engineering earns its cost where the integration between those platforms, or a proprietary process, is what actually differentiates how the business operates.
