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Sreekanth Kuruba
Sreekanth Kuruba

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Why Traditional DevOps Stops Scaling

Traditional DevOps works well…
until the organization grows.

At small scale, a central DevOps team deploying, fixing, and firefighting everything feels efficient.

At large scale, it becomes the bottleneck.

And not because DevOps is bad.
Because humans don’t scale the same way systems do.


🚧 Why Traditional DevOps Stops Scaling

1. People become the bottleneck
As companies grow, everyone needs DevOps help.
Deployments. Pipelines. Terraform. Kubernetes.

Senior DevOps engineers are expensive and hard to hire.
Soon, the DevOps team becomes a ticket queue instead of an enabler.


2. Toolchains turn into spaghetti
CI tools, CD tools, scanners, monitors, secrets managers.

Each one solves a problem.
Together, they create complexity.

Maintaining fragile integrations slows teams down more than it helps them move fast.


3. Manual steps creep back in
Approvals, one-off fixes, environment-specific configs.

Manual work means:

  • Inconsistency
  • Errors
  • Late-night outages

Manual processes don’t scale. They multiply risk.


4. Developers carry too much operational weight
“You build it, you run it” sounds great.

But without the right abstractions, developers become:

  • Accidental infrastructure experts
  • Part-time SREs
  • Slower feature builders

Cognitive load goes up. Velocity goes down.


5. No self-service = no speed
Without self-service platforms, developers must touch:

  • Kubernetes YAML
  • Terraform internals
  • Cloud primitives

Instead of shipping features, they wrestle with infrastructure.


6. Silos quietly return
Even with DevOps intentions, silos reappear:

  • Ops rewarded for stability
  • Dev rewarded for speed

Different incentives. Same old friction.


7. Monitoring stays reactive
Traditional monitoring reacts after things break.

At scale, teams need:

  • Proactive observability
  • Fast root cause analysis
  • Context, not just alerts

🧱 The Natural Outcome: Platform Engineering

These challenges didn’t kill DevOps.

They forced it to evolve.

Platform Engineering emerged to:

  • Codify best practices
  • Provide golden paths
  • Abstract complexity
  • Enable self-service safely

Internal Developer Platforms don’t replace DevOps principles.

They make them work at enterprise scale.


🧠 The Big Idea

DevOps didn’t fail.

It succeeded so well that it needed a new form.

From:

Humans doing DevOps for everyone

To:

Platforms enabling DevOps for everyone

That’s the shift.

And it’s why Platform Engineering exists.

🤔 The Big Question

If DevOps can’t deploy everything forever…

What replaces it?

👉 In Part 2, we’ll look at how leading companies are solving this with Platform Engineering.


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