DevOps team support: When do you need your own experts?

In many early software development teams, the distribution of roles is clear: there are a few people responsible for development, one goal (delivering new features), and anything infrastructure-related is done on the side. Someone sets up a cloud account, writes a Dockerfile, ets up a Kubernetes cluster, or builds a GitHub Action that “somehow deploys.” As long as the scope is small, this even seems efficient: short feedback loops, no handovers, full control.

This is typical hero mode: one or two people keep deployment, CI/CD, logs, and perhaps monitoring and security running through personal effort. It's not pretty, but it works.

The key question is: How long does this approach remain lean and efficient, and at what point should you seek internal or external support in the form of a DevOps expert?

The answer is rarely a date. But there are recurring phases, indicators, and economic thresholds that can be used to reliably determine when the shift makes sense.

In the very early stages of a company or new software product, it is still a reasonable decision to handle DevOps as a secondary responsibility. Even though our experience shows that it is worthwhile to think deeply about a sensible and scalable infrastructure early on, it is important at this stage to focus on the development of the product and all essential requirements.

The success of the company or product will initially depend on the capabilities of the product.

Typically, this phase is still characterized by relatively infrequent deployments, low traffic, and no scaling.

Important: “No dedicated DevOps team” does not mean “no DevOps standards.” Even at this stage, it is worth establishing two or three guidelines: infrastructure as code (minimal), secret management, and a a consistent deployment process.

At a certain point, a dynamic emerges that can be seen in almost every growing company and product team: it is not the infrastructure itself that becomes "difficult," but rather the number of interactions: more services, more deployments, more dependencies, more team members, and suddenly the failure modes multiply. Complexity does not increase linearly, but exponentially.

Typical warning signs that things are starting to break down:

• Deployment takes too long (or is avoided)
• Fragile releases: small changes trigger unexpected chain reactions
• “Only person X knows how to do it”: pipeline, network, cluster, IAM, DNS: everything depends on individuals
• Infrastructure is not documented: because “it will be different again soon anyway”

This is definitely the point at which a DevOps team brings not "more tools”, but maintainability, standards, and decoupling. From this point on, it is worth bringing in a DevOps expert, at least periodically.

The scaling phase is no longer just about “deploying faster.” It's about operability as a product feature: availability, recoverability, security, cost control, and ensuring that the company is no longer dependent on individual people.

DevOps teams are then often confronted with the following tasks:

At this stage, dedicated DevOps staff are no longer optional. Ideally, there will be several internal or external people who handle these tasks and bear responsibility for them.

Last but not least, let's take a quick look at the economic perspective of the DevOps role:

External or internal DevOps teams are often mistakenly viewed primarily as an “unnecessary cost factor.” However, the following types of costs are usually underestimated:

As a rule, more senior developers take care of infrastructure tasks. But when senior developers spend 30 to 40% of their time on classic DevOps activities, you end up paying twice, because they are missing elsewhere. Fewer features are developed and there is less pairing and reviews and mentoring for junior developers. In addition, their patience is tested, when it comes to unpopular DevOps tasks.

Downtime is not only a revenue issue, but also creates additional support workloads, undermines trust (especially in B2B), and repeatedly pulls the team away from product work. If you already have 1–2 major outages per month that tie up the team for 1–2 days each, this is usually the strongest economic indicator that it is time to professionalize DevOps and operational capability.

Expensive cloud misconfigurations rarely result from a single major error, but rather from many minor ones: oversized resources, forgotten instances, unsuitable storage classes, debug logging in production, or inefficient data pipelines. Experienced DevOps experts or cloud specialists often pay for themselves through prevention and structure alone, through better standards, clear ownership, and fewer costly surprises.

As soon as infrastructure work is no longer “occasional” but needs to be planned and prioritized on a regular basis, you need a clear role (internal or external). This does not mean that DevOps takes over everything, but rather that someone defines fixed standards, drives automation, and reduces the burden on development teams.