← Writings

Total Cost of Ownership, a software engineering perspective

· 6 min read

Engineering is fundamentally about trade-offs. Every decision carries weight, implications, and most importantly, costs. When talking about costs in software engineering, we’re not just dealing with financial expenses, we’re considering time investment, cognitive overhead, operational complexity, and team resources. While software engineers excel at discussing technical merits, architectural patterns, and code quality, there’s often a blind spot when it comes to understanding and considering the Total Cost of Ownership (TCO) of our solutions.

The developer cost blind spot

Software engineers are trained to value technical excellence: clean code, elegant architectures, and engineering purity. This mindset, while valuable, often creates a blind spot when evaluating solutions. We excel at discussing algorithmic complexity, scalability, and code maintainability, but frequently overlook or underestimate the total cost of ownership of our technical decisions.

This blind spot manifests in how we evaluate solutions. We might build a technically superior approach without considering its maintenance burden, or choose cutting-edge technology without factoring in the cost of keeping the team proficient with it. Cost optimization isn’t about choosing the cheapest solution, it’s about understanding the full spectrum of costs: development effort, maintenance burden, operational complexity, team expertise, the price of future changes and how they all compound in time.

The hidden costs in our solutions

What makes a solution good from an engineering perspective doesn’t always align with what makes it sustainable and efficient in the long run. A beautifully designed microservice architecture might be technically elegant, but the operational complexity, infrastructure demands, and cognitive overhead of maintaining multiple services could turn it into an overwhelming burden for the team.

To showcase this concept more clearly, let’s examine a simpler example that many developers face: building a personal blog, comparing building everything yourself versus hosting your posts on a blogging platform.

From a pure TCO perspective, both approaches require an initial investment, though they differ significantly in scope and time to market:

Initial Investment

Custom blog:

Managed platform:

The cost different is already quite evident, especially in terms of time investment. The time to market is significantly better with the managed platform, it can have you publishing content within hours, while a custom solution might take weeks to reach the same functionality level.

Ongoing costs over time

The true cost difference becomes evident as time passes. A custom blog requires constant attention: security updates, dependency management, framework upgrades, and fixing broken features. Each year brings new challenges: major version migrations, growing technical debt, and possibly even complete rebuilds as technologies become obsolete.

Meanwhile, a managed platform quietly evolves, with improvements and new features appearing automatically. The time saved compounds, hours not spent on maintenance become hours invested in creating value.

The opportunity cost

The most significant hidden cost manifests in the opportunities foregone while managing infrastructure (Opportunity cost). Those hours spent troubleshooting deployment issues could have produced new articles. The mental energy devoted to maintaining dependencies could have gone into engaging with readers or growing your professional network. Time invested in upgrading frameworks could have been spent developing expertise in your core domain or building valuable industry relationships. These missed opportunities accumulate over time, often far exceeding the visible costs of either solution.

The TCO difference becomes substantial when accounting for these opportunity costs. While building a custom blog might serve additional purposes like learning specific technologies or having complete control over the platform, from a pure cost perspective, the managed solution often wins, not just in direct costs, but in freeing up time and mental energy for higher-value activities.

Building a cost-conscious engineering culture

Cost consciousness must become an integral part of the software engineering mindset, as poor cost assessment can lead to significant problems down the line. Solutions may become unsustainable as they scale, technical debt accumulates faster than expected, and valuable resources get drained from maintaining over-engineered systems. Most critically, high operational costs can limit business opportunities and make it difficult to pivot when needed.

When engineers factor in cost considerations from the start, they naturally gravitate toward more pragmatic solutions. This doesn’t mean always choosing the cheapest option, rather, it’s about understanding the long-term implications of technical decisions. A more expensive initial investment might lead to lower maintenance costs, while a seemingly cheap solution could become a resource drain over time.

Consider introducing a “TCO check” in your architectural decision records or design reviews. For each significant technical decision, include a section that answers:

Make TCO reviews a regular part of your engineering practices and establish a clear ownership of it. Teams should be accountable for their cost decisions, just as they are for their service reliability. This simple practice helps teams develop a habit of considering the complete cost picture and make it part of their engineering workflow.

Conclusion

Cost isn’t just a business concern, it’s a fundamental engineering constraint that deserves the same attention as performance, scalability, and maintainability. The most elegant solution might not be the right one if its TCO makes it impractical or unsustainable. This might mean choosing a managed service over building a custom solution, using established technologies over cutting-edge ones, or accepting some technical compromises to meet business constraints. Of course, every engineering decision depends on context, sometimes building your own solution is the right strategic choice, but that’s a story for another post.

By embracing cost consciousness in software engineering decisions, we build not just better systems, but more viable and sustainable ones. The next time you’re evaluating a technical decision, remember to factor in the total cost of ownership, your future self and your company, will thank you.