Cloud & Platform Engineering

Solution walkthrough

Cloud cost and performance improvement

Understand where capacity, architecture and operating choices drive spend. Prioritize changes against workload performance and business requirements.

Example workflow: Technology and infrastructure leaders.

Discuss this use case

The operating problem

Cloud spend is increasing, but cost reports do not explain which workloads drive it or whether a cheaper configuration will meet service needs. Platform and finance teams need a shared baseline before they can prioritize changes responsibly.

From input to action

How it works.

  1. 01

    Build the baseline

    Connect spend to applications, environments and owners. Review utilization, traffic and operating schedules alongside the performance requirements of each workload.

  2. 02

    Test the improvement

    Evaluate suitable sizing, architecture or operating changes on representative workloads. Compare cost and performance together, with an agreed recovery path for each change.

  3. 03

    Maintain visibility

    Record implemented changes against the baseline and report the observed effect. Establish ownership, budget signals and a review cadence so improvements continue as workloads change.

What we deliver

  • Application-level cost and utilization baseline
  • Prioritized improvement backlog
  • Validated configuration or architecture changes
  • Cost-performance reporting and review process

What to measure

Agree a baseline and acceptance targets around the operating outcome.

  • Observed spend change against a comparable baseline
  • Latency, throughput and capacity after each change
  • Allocation coverage, idle capacity and forecast variance

Explore the work

Related ApexFlo projects and products.

Completed delivery

Approximately 500 workloads in six months

Approximately 500 VMware workloads moved to Amazon EC2 through replication, target-side validation and controlled cutover.

Read the project