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Haripriya Veluchamy
Haripriya Veluchamy

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When Terraform Parallel Execution Becomes a Nightmare

I recently worked on an infrastructure deployment using Terraform + Azure, and I hit a problem that made my head spin for hours. Everything in my code looked logically perfect, yet the deployment kept failing. Only later I discovered that it was not a “code issue” but a dependency issue and it taught me a valuable Terraform lesson.

Let me share that journey, so nobody else loses hours like I did.


🔥 The Setup

I was provisioning multiple resources using Terraform, including:

  • Azure Redis Cache
  • Azure App Service, which needed the Redis connection string as an environment variable

On paper, the flow looked simple:

Create Redis → get connection string → use it in App Service

But reality had other plans.


❗ The Unexpected Failure

Whenever I ran terraform apply, the Redis creation started…
But while Redis was still provisioning (and Azure Redis usually takes time), Terraform tried to create the App Service immediately.

As a result:

Error: Redis endpoint not found
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I double-checked the code multiple time everything looked correct!
So why was it failing?


🧠 The Hidden Reason Terraform Doesn't Automatically Wait

Terraform executes resources in parallel by default to speed up deployment.
It only waits for dependencies if they are explicitly defined.

Even though I used Redis output inside the App Service configuration, Terraform didn’t treat it as a strict dependency and started creating both resources simultaneously.

Redis was still provisioning → App Service needed Redis → App Service failed.

That was the missing piece.


🔧 The Fix depends_on

I added an explicit dependency in the App Service resource:

depends_on = [
  azurerm_redis_cache.redis
]
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And boom Terraform waited for Redis to finish provisioning before creating the App Service. Deployment succeeded. 💯


🏷 What I Learned

Here’s the takeaway from this experience:

Without depends_on With depends_on
Terraform runs resources in parallel Terraform respects resource order
May fail if referenced resource isn’t ready Ensures resource readiness before execution
Hidden debugging headaches Clear creation sequence

Terraform is smart, but not psychic it won’t guess resource order unless we tell it.


✔ Final Thoughts

This issue took me hours to understand, but it taught me something crucial:

Terraform isn't just “writing infra as code” it’s also about controlling resource orchestration.

Next time you are creating interdependent services:

  • If one resource must finish before another starts → use depends_on
  • Don’t assume Terraform will wait automatically

💬 Your Turn

Did you ever face something similar with Terraform parallel execution or Azure resource delays?
I’d love to hear your war stories and fixes!


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