The seductive ‘just build it yourself’ mantra often leads to project failure and burnout. A Senior DevOps Engineer breaks down why this happens and provides a pragmatic framework for making the right build-vs-buy decision for your infrastructure.

The ‘Build It Yourself’ Lie That’s Killing Your Projects

I still remember the code review. A junior engineer on my team, sharp as a tack, was tasked with setting up a new service deployment pipeline. Two weeks later, I checked in. Instead of seeing a standard Jenkinsfile or a GitLab CI YAML, I found a thousand lines of custom Python. He had built a bespoke deployment agent that ran on our EC2 instances, pulling artifacts from S3 and managing service restarts, with state tracked in a little-used Redis cache. He was trying to solve a problem that ArgoCD, Spinnaker, or even a well-written Ansible playbook had already perfected. The project was slipping, he was burning out, and we now owned a fragile, undocumented tool. All because he fell for one of the most dangerous pieces of advice in tech: “Just build it yourself.”

The Siren Song of the Custom Tool

So, why does this happen? It’s rarely about ego. It’s about a fundamental misunderstanding of the true cost of software. The “build it yourself” path is seductive for a few key reasons:

• The Illusion of Perfection: You imagine a tool perfectly tailored to your exact workflow, with no extra buttons or features you don’t need.
• Underestimating the Problem: You think, “How hard can it be to write a script that SSHs into a box and pulls a container?” You forget about error handling, retries, state management, security patching, logging, and future compatibility.
• The “Not Invented Here” Syndrome: A subtle bias that makes us instinctively distrust or undervalue third-party solutions in favor of an in-house build we can control completely.

The reality is that the initial build is just the tip of the iceberg. The real cost is the Total Cost of Ownership (TCO)—the endless cycle of patching, bug-fixing, feature-adding, and on-call rotations for a tool that isn’t even your core product. You’re not just building a tool; you’re committing to maintaining it forever.

A Pragmatic Framework: How to Escape the Trap

Over the years, I’ve developed a framework to short-circuit this pattern. It’s not about never building anything; it’s about being ruthlessly pragmatic about what you build.

Solution 1: The ‘Is This Our Core Business?’ Test

This is the quick and dirty gut check. Before you or your team writes a single line of code for a new internal tool, ask this one question:

Does this tool directly contribute to our company’s unique value proposition?

Are you a logging company? No? Then don’t build a custom log shipper; use Fluentd, Logstash, or a vendor agent. Are you in the business of selling CI/CD platforms? No? Then use GitHub Actions, GitLab CI, or Jenkins. Your value is in your product, not in your beautifully bespoke CI pipeline. Building non-core tools is an uncompensated expense that actively steals time from what your customers actually pay you for.

Pro Tip: If you can’t write down a one-sentence business case for why building this tool makes your company more money than using an existing one, you have your answer. Don’t build it.

Solution 2: The Total Cost of Ownership (TCO) Matrix

If the gut check isn’t enough, it’s time to put numbers on the page. A TCO matrix forces you to confront the hidden costs. Let’s imagine we’re deciding whether to build a custom secret management system or use a tool like HashiCorp Vault.

Laying it out like this makes the decision obvious. The short-term fun of a greenfield project is dwarfed by the long-term operational nightmare.

Solution 3: The ‘Nuclear’ Option – Mandate “Boring” Technology

This is my favorite, and it’s what I enforce as a lead. For 95% of infrastructure problems, we default to “boring,” industry-standard, well-documented technology. This is a top-down decision that removes the debate and prevents analysis paralysis.

What does “boring” mean? It means choosing stability and a large community over the bleeding edge.

• Database: Use Postgres. Not the hot new distributed vector database you read about on Hacker News.
• Orchestration: Use Kubernetes. It’s complex, but it’s the standard. The problems are known and the solutions are documented.
• CI/CD: Use your source control’s built-in tool (GitHub Actions, GitLab CI). It’s integrated and “good enough” for almost everything.

Here’s a sample command. It’s not fancy, but it gets the job done using standard tools:

# Deploying our app with a standard tool, not a custom script.
helm upgrade --install my-app ./charts/my-app \
  --namespace=production \
  --set image.tag=v1.2.3 \
  --values=./values/prod.yaml

Warning: This approach feels restrictive to engineers who love to tinker. But you have to be firm. Your job as a senior engineer or architect is not to build the most technically clever infrastructure; it’s to build the most stable and maintainable infrastructure that allows the business to ship features quickly and reliably. Full stop.

So next time you hear that voice in your head—or from a colleague—saying “we can just build that ourselves,” take a step back. Run the tests. Do the math. And choose to spend your time and energy on the problems that actually make your company unique. Your project—and your sanity—will thank you for it.

Darian Vance

Lead Cloud Architect & DevOps Strategist

With over 12 years in system architecture and automation, Darian specializes in simplifying complex cloud infrastructures. An advocate for open-source solutions, he founded TechResolve to provide engineers with actionable, battle-tested troubleshooting guides and robust software alternatives.

🤖 Frequently Asked Questions