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For most side projects, start with one deployable application and keep its code modular. Add microservices, containers, or Kubernetes only when a specific workload or operational need justifies the extra moving parts. They solve different problems: microservices split an application into independently managed services, containers package software, and Kubernetes orchestrates containerized workloads across a cluster.
Three different choices—not one architecture stack
These tools and patterns are often grouped together, but they address separate layers. You can use one without adopting the others.
- Monolith or microservices: This is an application-architecture choice. A monolith is deployed as one application; microservices are separate services that can be developed and deployed independently.
- Containers: These package an application and its runtime dependencies into a consistent unit. Packaging does not require splitting the application into services.
- Kubernetes: This orchestrates workloads across a cluster, handling tasks such as service discovery, load balancing, and recovery. It does not decide how your application should be divided.
A modular monolith can run in a container, and a containerized application does not automatically need Kubernetes. Choose each layer for a reason.
Why a modular monolith is often a better starting point
A single deployable application keeps many interactions inside the application rather than sending them across a network. That can simplify deployment, debugging, and tracing while you are still learning what the product needs. It does not mean the code has to be a tangle: modules can have clear responsibilities and interfaces while remaining part of one application.
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AWS Well-Architected Framework, REL03-BP01, recommends designing for evolution: “Even if you choose to start with a monolith architecture, you must ensure that it’s modular and can ultimately evolve to SOA or microservices as your product scales with user adoption.” AWS Well-Architected Framework
The practical implication is to create meaningful boundaries now, but avoid paying for network boundaries before you need them. Keep responsibilities distinct, limit hidden dependencies between modules, and be deliberate about which module owns a piece of logic or data. This makes a later extraction more manageable without requiring you to predict the final architecture on day one.
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What microservices add—and what they demand
Microservices can make sense when parts of a product need to change, deploy, scale, or remain available independently. In exchange, communication between services becomes a distributed-systems problem. AWS notes that distributed computation can make latency requirements harder to meet, complicate debugging and tracing user interactions, and increase operational complexity as the number of managed applications grows. These are qualitative trade-offs, not fixed costs that apply equally to every project. AWS Well-Architected Framework
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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsSplitting code into small services is not enough to make the design effective. Microsoft’s microservices assessment highlights the need to consider independent deployment, data ownership, service communication, discovery, and observability. Reliable communication may also require choices about retries, timeouts, and circuit breakers; a service mesh can add capabilities, but brings its own operational overhead. Microsoft Learn: Microservices Assessment and Readiness
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Before extracting a service, be able to explain what independence it provides and how you will operate it. If the proposed service cannot be deployed or changed independently, still shares unclear data ownership, or is difficult to observe, the split may add boundaries without delivering the benefit you want.
When containers are useful
Containers address packaging and runtime consistency, not application decomposition. They may be useful if you need a repeatable environment across development, testing, and deployment, or if your hosting platform expects container images. You can containerize a modular monolith and keep deploying it as one application.
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Packaging also adds a build and runtime format to understand and maintain. If your existing deployment path already runs the application reliably and does not require containers, adopting them solely because microservices use them is not a reason to add them.
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Kubernetes provides cluster-level capabilities including service discovery and load balancing, storage orchestration, automatic bin packing, self-healing, configuration and secrets management, batch execution, and horizontal scaling. These are useful when you need to coordinate workloads across a cluster. Kubernetes documentation: Overview
It is not a traditional all-inclusive platform-as-a-service. Kubernetes does not build your source code, nor does it provide application databases, caches, or message buses as built-in services. You still need to choose, configure, and operate the application’s dependencies and deployment workflow. Its capabilities are valuable when you need them; they are not a substitute for deciding whether your project needs cluster orchestration at all.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.A practical way to choose
| Option | What changes | What to justify |
|---|---|---|
| Modular monolith | One application is deployed as a unit, with internal code boundaries. | Usually a sensible starting point when one deployment meets the product’s needs. |
| Microservices | Services can be managed and deployed independently and communicate across boundaries. | A real need for independent deployment, scaling, ownership, or failure boundaries—and the ability to handle networking, observability, and service operations. |
| Containers | The application is packaged with its runtime dependencies. | A need for consistent packaging or a deployment environment that expects containers. |
| Kubernetes | Containerized workloads are orchestrated across a cluster. | A need for its cluster-level scheduling, discovery, recovery, configuration, or scaling capabilities, plus capacity to operate the platform. |
Ask what the current system cannot do, then choose the smallest change that addresses it. Independent scaling is meaningful only if a component actually needs a different scaling approach. A separate failure boundary matters only if isolating that component improves the product’s reliability. Independent deployment is useful when a team or workload benefits from releasing that part without coordinating a release of the whole application.
Signals that an independent service may be justified
- A component has a distinct change or release cycle, and coordinating its deployment with the rest of the application is a recurring problem.
- A workload has genuinely different scaling or availability needs that the single application cannot meet appropriately.
- A clear owner can manage the service, its data, its deployment, and its operational health.
- The team can observe and troubleshoot calls across service boundaries, and has a plan for discovery and communication failures.
These are reasons to evaluate a split, not automatic triggers. If the need is not concrete, keep the boundary in the code rather than making it a network boundary.
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Keep the path to change open
Use modules with clear responsibilities, avoid unnecessary cross-module dependencies, and make data ownership understandable. When evidence shows that a boundary needs independent deployment or scaling, extract that part deliberately and account for its communication, discovery, reliability, and observability needs. Docker has argued for modular monoliths as a way to preserve boundaries without network calls between modules; that is the vendor’s perspective, not an independent benchmark. Docker’s discussion of microservices and modular monoliths
If you later face a genuine decomposition or migration problem, Sam Newman’s Monolith to Microservices is a deeper resource on evolving an existing system. It is not a prerequisite for starting a side project.
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