The shift to cloud computing has revolutionized how organizations pay for technology and applications, transitioning from traditional on-premise data centers to a variable utility compute model. This transformation, as outlined in a recent Apptio report, introduces a world of operational expenses (OpEx) over capital expenses (CapEx), reshaping financial reporting and management practices.
This shift has disrupted the conventional procurement model, empowering engineers with spending authority as they develop and manage applications and infrastructure. However, the focus has predominantly been on immediate operational concerns, with little consideration for optimizing efficiency within applications and processes.
The report from Apptio highlights the stark reality of engineers making financial commitments to the cloud without adequate alignment with finance teams, resulting in a struggle to keep pace with the granularity and pace of spending.
In this landscape, there is the need to calculate total costs for technology environments, with a specific emphasis on efficiency within applications, code, and processes rather than automation through Robotic Processing Automation (RPA).
With an understanding of the importance of measuring the Total Cost of Code, an efficient, healthy system requires fewer resources and introduces the concept of capacity rationalization and code optimization, potentially saving 20% to 80% in costs over 20 years. The discussion extends to the challenges posed by the move to the cloud and the pay-as-you-go model versus pay-upfront, which can escalate operational costs faster than they can be comprehensively analyzed. The lack of transparency into the costs of cloud services is flagged as a pervasive issue, leading to overspending by engineering teams, finance struggles, leadership gaps, and unoptimized procurement.