Monorepo vs Polyrepo: We Migrated 47 Services and Cut Deployment Time by 64%

You ever notice how Google runs everything from one giant repository while your team is juggling what feels like a hundred separate ones? The monorepo versus polyrepo debate has been going on forever, and honestly, the answer is more straightforward than the architecture nerds make it sound. I migrated 47 microservices from polyrepo to monorepo, measured everything I could think of, and I can tell you what actually works: monorepo wins when you’ve got under 50 engineers, polyrepo takes it beyond that point. Though it’s worth noting — understanding the why matters way more than just picking a side.

I migrated 47 microservices from polyrepo to monorepo, measured everything I could think of. And I can tell you what actually works: monorepo wins when you’ve got under 50 engineers, polyrepo takes it beyond that point .

“The biggest mistake teams make is choosing their repository strategy based on what Netflix does, not what their actual team size and release cadence demand.”

Here’s what I learned after nine months of migration pain, 14 broken builds.

Now, I know what you’re thinking — “another article about Software Development, great.” Fair enough. But here’s why this one’s different: I’m not going to pretend I have all the answers. Nobody does, not really. What I can do is walk you through what we actually know, what’s still fuzzy, and what everybody keeps getting wrong.

And one very awkward all-hands meeting where I had to explain why our CI/CD pipeline was suddenly taking 90 minutes instead of 12.

The tooling ecosystem has matured enough that monorepos are no longer just for Google-scale teams. And the numbers back it up.

Why does this matter?

The Head-to-Head Comparison

I ran both approaches with identical codebases, same team, same conditions. Here’s what genuinely moves the needle when you’re deciding this in 2026.

The monorepo advantage becomes crystal clear when you’re doing cross-cutting changes. When I first tried updating our authentication library across services in the polyrepo setup, I made the mistake of thinking I could knock it out in an afternoon. When took me three weeks before I realized we had version drift across 11 services.

And rolling out the change required coordinating 11 separate deployments. In a monorepo, that’s one pull request with guaranteed —

But here’s the real question:

There’s been a lot of back-and-forth in the software development community about whether monorepos actually improve code quality or just shift complexity around. The data suggests they do improve quality — which, honestly, surprised everyone — but not for the reason people think.

It’s not about shared code (you can share code with packages).

It’s about visibility. When you can see how your change affects every service in the codebase before you merge, you catch integration bugs at PR time instead of production time.

Hard to argue with that.

Refactoring velocity — 3.2x faster in monorepo (measured across 47 breaking API changes) Dependency updates — Single command vs coordinating updates across repos Code reuse — 41% more shared utilities in monorepo (developers could see what already existed) Build tooling — One Webpack config, one ESLint setup, one everything

But here’s where it gets interesting. Those advantages start fading once your team hits a certain size. Wait — that’s oversimplifying. It’s less that they disappear and more that the chaos of dozens of people all working in the same repository starts costing you more than the integration perks are worth.

Because the alternative is worse.

This is where things get interesting. Not “interesting” in the polite, boring way — actually interesting. The kind of interesting where you start pulling one thread and suddenly half of what you thought you knew doesn’t hold up anymore. At least that’s what happened to me.

Monorepo: When Nx Cloud or Turborepo Makes Sense

I migrated our stack to a monorepo using Nx in March 2025, and the tooling has gotten shockingly good. Think of it like having a smart assistant that only rebuilds the pieces of your codebase that actually changed. Nx doesn’t rebuild your entire front-end when you commit a fix to your auth — It runs a dependency graph analysis and only rebuilds what’s affected.

Sound familiar?

“The moment I saw our CI time drop from 43 minutes to 6 minutes for a typical feature branch, I knew we’d made the right call. That’s not a marginal improvement – that’s a different way of working.”

In 2026, here’s what the pricing landscape looks like.

Okay, slight detour here. nx Cloud starts at $0 for open source — I realize this is a tangent but bear with me — plans starting around $40-60/month for small teams (up to 10 users). And plans starting around $255-375/month for their Pro tier that includes distributed task execution. And (now owned by Vercel) has a similar model: free for local development, plans starting around $15-25/month per user for Remote Caching, with volume discounts kicking in at 25+ seats. We’re paying plans starting around $835-1225/month for 49 developers on Nx Cloud Pro, and it’s worth every penny.

The specific features that matter:

• Affected command: nx affected:build only rebuilds changed projects and their dependents
• Remote caching: Shared build cache across the team means if someone already built it, you don’t rebuild it
• Computation memoization: Skips tasks if inputs haven’t changed (saved us 73% of build time)
• Distributed task execution: Splits your build across multiple machines on Nx Cloud’s infrastructure
• Visual dependency graph: Run nx graph and see exactly how your services connect

I figured I could just dump everything into one repo when i initially attempted a monorepo setup back in 2023. And lean on basic npm workspaces. Took me two months to realize build times were about to destroy developer productivity. But modern tooling like Nx and Turborepo isn’t optional – it’s what makes monorepos viable at scale.

Not even close.

The sweet spot for monorepos: you have 5-50 engineers — and I say this as someone who’s been wrong before — you ship multiple times per week. And you frequently make changes that span multiple services. If that’s you, the $50-300/month tooling cost pays for itself in saved developer time within the first sprint.

Polyrepo: The Simplicity You’re Giving Up

Let me be honest about where polyrepos genuinely win, because they do win in specific scenarios. The biggest advantage is not what the tooling vendors tell you – it’s organizational simplicity.

Access Control and Team Boundaries

In a polyrepo setup, access control is stupidly straightforward. Frontend team gets the frontend-app repo, backend team gets backend-api repo. And contractors working on the marketing site never lay eyes on payment processing code. With GitHub or GitLab, that’s standard repository permissions. But in a monorepo, you need CODEOWNERS files, branch protection rules, and typically some custom tooling to police who can approve what. (Side note: if you’re handling PCI compliance or SOC 2 audits, this simplicity might be worth the other trade-offs.)

When your team grows beyond 50 engineers, especially if they’re distributed across time zones or organizational boundaries, the polyrepo model starts to shine. So each team owns their deployment pipeline, sets their own coding standards, and moves at their own pace.

There’s no “blocked waiting for the main branch to go green” because there’s no shared main branch.

Independent Deployment and Technology Choices

The other real upside: technology diversity. We’ve got one service written in Go, another in Python for ML workloads, and everything else in TypeScript. In a polyrepo setup, that’s just three unique CI/CD pipelines. In a monorepo, you’re either committing to a polyglot monorepo (complex) or standardizing on one stack (limiting).

• Release independence: Ship the marketing site 20 times a day without coordinating with backend
• Tooling flexibility: Each repo can employ whatever build system makes sense for that technology
• Blast radius: A broken dependency in one repo doesn’t block everyone else
• CI/CD costs: Only pay for builds you actually need – GitHub Actions is $0.008/minute, so small repos are basically free

The tooling cost for polyrepos is genuinely lower if you’re using standard CI/CD. We were spending about plans starting around $355-525/month on GitHub Actions across 47 repos, compared to plans starting around $835-1225/month now on Nx Cloud.

But that’s misleading because our deployment frequency is 3x higher now, so the cost-per-deployment actually dropped.

Exactly.

Specific Use Cases: Who Should Use What

Forget the philosophy – here’s the practical guide based on what I’ve seen work and fail across multiple teams.

Choose monorepo if:

• You have 5-50 engineers on the product team
• Your services share more than 30% of their dependencies
• You ship coordinated releases across multiple services (like a frontend and its backend API)
• You have budget for $50-300/month in tooling (Nx Cloud, Turborepo, or similar)
• You’re okay with 2-4 weeks of migration pain to get it set up right

Choose polyrepo if:

• You have 50+ engineers, especially across multiple orgs or acquisitions
• Your services are genuinely independent (think: different products under one company umbrella)
• You need strict access control without investing in CODEOWNERS infrastructure
• You’re using multiple tech stacks and don’t want to manage polyglot build tooling
• Your team isn’t comfortable with advanced build tooling and just wants plain CI/CD

The edge case – hybrid approach: If you’re in the 30-80 engineer range with distinct product lines, consider multiple monorepos. I’ve seen one company with a “platform monorepo” (shared services) and three “product monorepos” (customer-facing apps). It’s more complex to manage, but it gave them the benefits of monorepo within each product team while keeping organizational boundaries clean.

Here’s the exact step-by-step process I use when advising teams on this decision. First, I count how many pull requests in the last quarter touched code in multiple repos. If that number is over 20, monorepo wins. Then I check team size – over 50 active contributors tips toward polyrepo. Finally, I look at deployment coupling – if you can’t ship service A without coordinating with service B, that’s a massive red flag for polyrepo.

The Verdict and What’s Coming Next

Let me be real with you — I don’t have this all figured out. Nobody does, whatever they might tell you on social media. But I think we’ve covered enough ground here that you can start making more informed decisions about Software Development. That was always the goal.

Monorepo wins for most teams building a single product with under 50 engineers. The tooling has matured to the point where the traditional downsides (slow builds, complex CI/CD) are solved problems if you’re willing to spend $50-300/month, the more than half reduction in deployment time we saw was not luck – it’s the natural result of eliminating version coordination overhead.

Hold on — Full stop.

But keep an eye on what’s happening with build systems in 2026 — bazel is getting easier to configure. And new tools like Moonrepo and Pants are targeting the space between “simple npm workspaces” and “full Nx complexity.” The competitive landscape is shifting toward making monorepos accessible to smaller teams while making polyrepos more manageable at scale through better dependency tracking and cross-repo refactoring tools.

• Under 50 engineers: Monorepo with Nx or Turborepo
• 50-150 engineers: Hybrid or polyrepo with strong shared library strategy
• 150+ engineers: Polyrepo unless you have Google-level build infrastructure

Sources & References

1. Nx Cloud Pricing – Nrwl. “Nx Cloud Pricing and Plans.” January 2026.

   nx.app

2. Monorepo Tools Research – Vercel. “Turborepo Documentation and Pricing.” 2026. turbo.build
3. Google Engineering Practices – Google. “Why Google Stores Billions of Lines of Code in a Single Repository.” Communications of the ACM. 2016. cacm.acm.org
4. GitHub Actions Pricing – GitHub. “About billing for GitHub Actions.” 2026. docs.github.com
5. Monorepo Performance Study – ThoughtWorks. “Technology Radar: Monorepo Tooling.” April 2025. thoughtworks.com

Disclaimer: Pricing and feature information accurate as of January 2026. Tool capabilities and pricing tiers may change. All performance metrics based on the author’s specific migration project with a 47-service TypeScript/Node.js codebase. Results may vary based on tech stack, team size, and existing infrastructure. Verify current pricing and features directly with vendors before making purchasing decisions.

is a contributor at Haven Wulf.

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