Do these 3 things before closing this tab:
1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesApplication growth alone is not a reason to adopt micro-frontends or another complex architecture. The warning signs are concrete: teams cannot change or release their parts independently, boundaries leak, and the resulting system costs more to operate than it saves. Diagnose those problems first, then choose the simplest structure that addresses them.
Which frontend architecture fits the problem you actually have?
A modular monolith, an n-tier or SPA-plus-service design, and micro-frontends can all be reasonable choices. Compare them against your product’s boundaries, team ownership, release needs, operational capacity, and measured user experience—not against growth as an abstract goal.
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| Option | Boundary and release fit | Costs and constraints to assess |
|---|---|---|
| Modular monolith | Useful when modules can have clear responsibilities and interfaces, but the product does not need separately deployed frontend pieces. AWS Prescriptive Guidance says a monolith can be a natural first step, including for applications expected to grow. | Modules can become inadvertently coupled, making changes risky. Check whether teams can work within the boundaries without frequent side effects or coordination. |
| N-tier or SPA-plus-service | Separates application concerns into tiers or a client and services. Whether those boundaries match team ownership or enable independent frontend releases is not established in the AWS comparison guidance summarized here. | Assess how changes cross tiers, who owns each interface, and whether the arrangement addresses the delivery friction you have. Do not assume service separation by itself gives frontend teams autonomy. |
| Micro-frontends | Can support independent ownership and paths to production when frontend areas map to meaningful domains and teams can deploy them independently. | Requires deliberate composition, dependency management, integration testing, operational visibility, and alignment. Added JavaScript, duplicated libraries, runtime overhead, and browser constraints can affect users. |
AWS Prescriptive Guidance puts the decision plainly: “There is no single right choice for the architecture decisions.” Its guidance also cautions that “Applications developed by a few teams might not need the additional complexity that comes with moving to micro-frontends.” Treat the seven mistakes below as diagnostic patterns, not a canonical checklist every team must encounter.
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What to look for
Architecture discussions begin with a target pattern—often micro-frontends—rather than a specific obstacle. Yet few teams, growth expectations, or a large codebase do not by themselves prove that a distributed frontend is needed. AWS says a monolith may be a natural starting point and notes that applications developed by a few teams might not need micro-frontends’ added complexity.
#1 Best Overall
What to do instead
Name the constraint before choosing the remedy. Is a team blocked by another team’s release? Do changes routinely cross ownership boundaries? Are long release lead times or high coupling preventing delivery? If not, use the least costly structure that provides useful boundaries and revisit the decision when evidence shows ownership or delivery is blocked. A more distributed design is an option, not a maturity badge.
2. Treating folder names as architecture boundaries
What to look for
Directories may be named after features or domains while code inside them freely reaches into other areas. A boundary that exists only in the tree view does not define responsibility, protect an interface, or prevent changes from rippling across modules.
What to do instead
Give each module a defined responsibility and a clear interface. Google Cloud’s Well-Architected guidance, “Promote modular design,” says well-defined, independent modules with clear interfaces can improve flexibility and maintainability and support targeted scaling; it was last reviewed on 2024-12-06 UTC. AWS also warns that inadvertent coupling between monolith modules can create side effects, malfunctions, and outages.
Make the boundary enforceable in the way that fits your codebase: document what a module owns, expose only the interface other modules need, and review changes that cross it. Modularity is not free: additional communication between modules can add latency and overhead, so keep the boundaries useful rather than multiplying them for appearance.
Rank #2
3. Making every feature depend on shared global state
What to look for
Many features or independently owned frontend pieces read and write the same store, so one change to shared state can force changes elsewhere. The more consumers depend on another area’s internal state, the less meaningful the ownership boundary becomes.
What to do instead
Keep state with the feature or module that owns it. Where another boundary genuinely needs information, communicate through a well-defined interface and use asynchronous communication where appropriate. AWS Prescriptive Guidance’s “Managing dependencies for cross-cutting concerns” recommends encapsulating state in its owner and exposing only deliberate cross-boundary sharing. If many pieces still need the same state, reconsider whether the boundaries reflect the product’s actual business responsibilities.
4. Ignoring the cost of dependencies and composition
What to look for
A split may improve team-level independence while making the delivered application heavier or harder to compose. Distributed pieces can duplicate libraries, transfer large artifacts, or add runtime and compute overhead. A composed page also needs a workable approach to its shell, discovery, caching, and browser/runtime constraints.
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Choose dependency sharing deliberately. Build-time or runtime sharing can reduce duplication, but it also creates coordination and compatibility decisions; duplication avoids some coordination but can increase transferred code. Keep client bundles lean and measure the effect on the actual application rather than assuming that either strategy wins universally.
Rank #3
AWS Prescriptive Guidance addresses the dependency and composition tradeoffs in “Managing dependencies for cross-cutting concerns” and “Composing pages and views with micro-frontends.” Martin Fowler’s “Micro Frontends” also emphasizes dependency tradeoffs and the need to measure performance in the application at hand. Composition is an operational responsibility as well as a code-organization choice.
5. Splitting code without giving teams end-to-end ownership
What to look for
Code is divided into pieces, but teams cannot make the decisions needed to change, deliver, or operate their pieces. If routine work still waits on a central group for every release or operational action, the split has not created meaningful autonomy.
What to do instead
Match ownership to the parts of the product teams are expected to deliver. AWS Prescriptive Guidance’s “Organization and ways of working” describes independent paths to production as a goal, supported by platform and enablement functions that provide infrastructure, shared libraries, conventions, and training. In practice, enable teams to make local decisions within agreed constraints and to deliver the software they own; a repository split alone cannot supply that capability.
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6. Letting autonomous delivery become inconsistent delivery
What to look for
Teams can release independently, but integrations behave differently across environments, shared dependencies change without coordination, or production issues are hard to see across boundaries. Independence without a common operating approach can move friction from release approval to integration failures and incident response.
Rank #4
What to do instead
Agree on cross-boundary testing, release conventions, monitoring, and alerting, while leaving teams responsible for their own software. AWS’s “Balancing autonomy with alignment” and “Organization and ways of working” recommend shared strategies and tools for these concerns without removing team ownership. Martin Fowler’s “Micro Frontends” advises testing integrations in a production-like shell or environment so that differences do not first appear after release.
Make the expected integration path repeatable: changes should be checked with the surrounding composition, and teams should be able to see and respond to failures in the parts they own. Shared practices should make independent delivery dependable, not turn every team’s release back into a centrally controlled event.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.7. Making architecture decisions without usage and performance evidence
What to look for
The design is justified by assumed speed or scale rather than how the application is used. A public site with high traffic and an enterprise application built for long sessions can have different optimization priorities. Distributed architecture does not automatically mean faster pages or better user experience.
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What to do instead
Start with the application’s usage patterns and characteristics, then collect metrics that reflect the experience you need to improve. AWS Prescriptive Guidance’s “Architectural decisions in micro-frontends” says decisions should reflect usage, application characteristics, and metrics. Martin Fowler’s “Micro Frontends” notes that performance is application-specific and calls for real-world measurement.
When comparing alternatives, include team autonomy and release independence alongside coupling, platform and operational burden, browser constraints, transferred JavaScript, duplicated dependencies, and measured page or navigation performance. Record the constraint each decision is meant to improve, then check whether the chosen design actually improves it.
How can a team tell whether it is time to change?
Use observed friction, not application size alone, to decide whether a change is warranted. A useful review asks:
- Where do changes cross module or team boundaries, and what breaks or waits when they do?
- Which teams need independent releases, and are release delays caused by coupling or by another constraint?
- Do current modules have responsibilities and interfaces that owners can explain and maintain?
- What additional integration, dependency, testing, platform, and operational work would a proposed split create?
- How will the team measure effects on delivered code and on users’ page or navigation experience?
If the team cannot identify a specific problem and a way to measure improvement, adding architectural complexity is unlikely to be a reliable first move. If it can, compare the available structures against that problem and the capabilities the team can support.
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