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Sarah Taraporewalla
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Platform engineering is not about platforms. It is about leverage.

Over the years, I have seen many technology organisations go through a similar evolution.

As organisations grow, they naturally begin to create shared capabilities. Teams build common libraries, deployment processes, infrastructure patterns, security controls, and operational practices that help them deliver software more effectively.

Initially, these things often emerge organically.

A team solves a problem, another team needs the same capability, and eventually a pattern starts to form.

The challenge is that as organisations scale, the cost of every team solving the same problem independently begins to increase.

The same decisions are made repeatedly.

The same problems are solved repeatedly.

The same complexity is introduced repeatedly.

This is where platform engineering becomes important.

Not because platforms are the goal.

But because reducing unnecessary friction is one of the highest leverage things a technology organisation can do.


I think about platform engineering as an organisational capability rather than a technology capability.

A platform is not successful because it exists.

It is successful because it makes the right thing easier.

A good platform reduces cognitive load for engineers. It allows teams to focus on solving business problems rather than repeatedly solving the same underlying engineering challenges.

It creates paved paths for common activities while still allowing teams the flexibility to make decisions where they need to.

This is an important distinction.

Historically, some approaches to shared technology capabilities have been built around control.

A central team creates standards.

Teams follow processes.

Exceptions require approval.

Over time, the organisation can unintentionally create a dependency model where teams wait for the platform rather than being enabled by it.

The purpose of a platform is not to create another layer of governance.

The purpose of a platform is to create leverage.


This is why I believe the best platforms are designed around developer experience.

The question is not “what technology should we standardise?”

The question is “what friction prevents our teams from doing their best work?”

Sometimes the answer is infrastructure automation.

Sometimes it is better developer tooling.

Sometimes it is reusable components.

Sometimes it is observability, security, testing, or operational capabilities built into the way teams work.

The technology matters, but the outcome matters more.

A platform should help teams move from idea to value with less unnecessary effort.


There is also a connection between platforms and organisational adaptability.

In my previous posts, I have written about strategic options and the importance of creating adaptive capacity.

Platforms are one way organisations create that capacity.

When teams do not need to repeatedly solve foundational problems, they have more energy available for innovation and customer outcomes.

When good practices are built into the platform, governance becomes easier.

When common capabilities are automated, teams can move faster with confidence.

When complexity is removed, the organisation has more freedom to respond.

A platform becomes a mechanism for reducing operational gravity.


However, successful platform engineering requires a different mindset.

The platform team is not there to build a better version of infrastructure.

They are there to serve the engineers who use it.

This means treating internal developers as customers.

It means understanding their needs, measuring their experience, and continuously improving the platform based on feedback.

The best platform teams think like product teams.

They understand the problems they are solving, the outcomes they are trying to create, and the people they are enabling.


As AI changes software development, the importance of this becomes even greater.

When the ability to create software accelerates, the surrounding systems need to support that acceleration.

Teams need reliable environments.

They need safe ways to experiment.

They need automated pathways that allow them to move quickly without increasing risk.

The organisations that benefit most from AI will not only be those with talented engineers and powerful tools.

They will be those that have removed the friction between ideas and outcomes.

That is the real promise of platform engineering.

Not platforms.

Leverage.


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