Cloud Consulting and Cost Optimisation, Melbourne

Ask our Cloud and Networks advisers about migration, cost optimisation and network resilience when you face:

• Data centre exit
• Cloud overspend
• Multi-cloud sprawl
• Outage event
• Compliance pressure
• M&A consolidation
• Vendor renegotiation
• Disaster recovery test
• AI workload
• Acquisition integration

In many businesses the cloud environment is assembled over time rather than designed. A typical pattern starts with a lift-and-shift from on-premise in 2019 and an AWS account a team set up for a single project. Then come an Azure tenancy that arrived with Microsoft licensing and a GCP environment for one machine learning experiment that was never turned off. That leaves three identity providers, no common tagging and no clear owner of the running bill.

The cost reveals itself in the line items. Reserved instances never purchased. Development workloads running through the weekend. Storage tiered as if everything were hot data. Egress charges nobody noticed until a marketing analytics export ran daily for a year. The waste compounds because nobody on the team has time to audit, and the cloud bill quietly becomes a board-level operating expense.

A cloud environment that runs payroll, ordering and customer records is core operational infrastructure and needs the same controls finance applies to the ledger. Translated to the cloud, those controls are a documented strategy, costed forecasts, tested disaster recovery and infrastructure defined as code. A production change made by hand in a console, with no pull request, is the equivalent of a manual journal posted without approval.

• A Cloud Migration Program with workload assessment, target platform selection (AWS, Azure, GCP, or hybrid), and a sequenced cutover plan with rollback criteria.
• A Multi-Cloud Architecture document specifying which workloads sit where and why, with unified identity, security and cost management across providers.
• A Cloud Cost Optimisation report identifying reserved-instance opportunities, right-sizing recommendations, scheduled-resource policies and orphaned-asset retirements with quantified annual savings.
• A Disaster Recovery Design covering RTO and RPO targets, multi-region failover, and automated recovery testing.
• Infrastructure as Code templates (Terraform, CloudFormation, Bicep) for repeatable deployment across dev, staging and production.

Billing exports from AWS, Azure and Google Cloud run to millions of line items, and frontier AI flags the anomalies in them within minutes. Right-sizing is recommended from actual utilisation, tagging is audited across thousands of resources and security configuration is checked against CIS benchmarks continuously. Until recently, that analysis needed a dedicated FinOps team. Reserved-instance and savings-plan commitments, and any re-architecture, are agreed with your team. A cost-optimisation review that would take consultants three months runs in days, and savings compound because monitoring continues after the engagement closes.

The advice is provider-neutral. Whitehot has no resale relationship with AWS, Azure or GCP that would bias a recommendation toward one over another. The architecture you receive is the architecture the workloads actually need.

A cloud architecture review should end in documented evidence your platform team can act on and your finance team can defend. Each major provider runs incentive programs, such as AWS's Migration Acceleration Program, that help fund migrations onto its own platform. Reviews linked to that funding are built around a move to that provider. A big-four cloud advisory engagement runs for three to four months at tier-one rates. Whitehot completes the review in weeks.