Why Your Menu API Is Slowing Down Your QSR
A lot of risks are involved during product development. Every architectural decision is a bet on speed, scale, and future complexity. And in today’s cloud-native ecosystem, the debate isn’t just about what to build. It’s about how you build so your product survives first contact with the real world.
Do we go monolith for speed, microservices for flexibility, SOA for enterprise scale, or serverless for leaner operations?
Let’s not reduce this to definitions; instead, treat it as a strategic decision that shapes your velocity, resilience, and cost structure.
Monolith Architecture
Monolithic architecture is the most well-known structure for its unified development model, which refers to the singular, indivisible unit. As the different parts of the software are unified, the various components of the app and the services get combined and managed on a single platform.
Owing to its complexity, monolithic architecture is rarely used. Let’s consider the minor instance of the eCommerce SaaS app, which comprises the load balancer, web server, ordering system, catalog service, and payment function. These are tightly coupled and equipped with massive code bases. A small change in a single function needs testing on the whole platform.
The monolithic app architecture consists of three different components, such as the data interface, the server-side application, and the client-side user interface.
But monoliths don’t age gracefully. As features multiply, the codebase grows brittle. Minor changes require full redeployments. And scaling one component often means scaling them all.
Why Choose Monolithic Architecture
Monolithic architecture works best when simplicity, speed, and control matter more than modularity or scalability. It’s particularly well-suited for early-stage products and teams just finding their rhythm.
- Development and deployment happen in a unified codebase, with fewer moving parts and less overhead
- Teams can ship features quickly without worrying about service boundaries or network latencies
- Communication between components is fast and reliable thanks to shared memory and a single runtime environment
- Data integrity is also easier to manage, especially when using relational databases, since everything operates through one central system
SOA or Service-Oriented Architecture
SOA, or service-oriented architecture, is composed of loosely coupled and discrete software agents that help to run the functions. SOA boasts two different principal functions, which the software agent plays. The service provider is recognized as the software body that runs the service request. The service consumer is an end-user app that calls the service provider.
It does not involve any platform or programming language limitations. Such design patterns develop distributed systems, which follow a specific protocol to deliver different services to various applications. Such a model adopts a message-based communication model to communicate with the services and apps.
The modules are integrated seamlessly so that they can be reused easily. Owing to its modular nature, it is extremely beneficial for different enterprise-level services.
If your organization needs to orchestrate dozens of legacy systems while layering in modern APIs, SOA offers a proven path, albeit one that demands rigor, ceremony, and coordination.
Why Choose Service-Oriented Architecture (SOA)
SOA shines in complex enterprise environments that require integration across multiple systems, teams, or legacy platforms. It’s built for scale, but in a layered, structured way.
- Its loosely coupled services make parallel development possible, while platform independence allows diverse teams to work in different languages and frameworks
- Changes in one service don’t impact others, making maintenance predictable and manageable
- SOA’s emphasis on standard protocols and formal service definitions enhances clarity and coordination across the organization
- It’s especially effective when dealing with transactional systems that span multiple business units
Microservice Architecture
It is regarded as an evolution of service-oriented architecture. It refers to a suite of different small services that are considered to be combined to construct the complete service within the microservices architecture. It involves the integration of other services that communicate with one another. Such a microservices architecture comprises different independent services created around different business capabilities combined through APIs.
Microservices are composed of independently deployable and loosely coupled services, so they do not need to decrease the system’s complexity. Instead, they allow the system’s complexity to be more manageable and visible.
They shine when your application grows beyond a single team’s mental model.
Why Choose Microservices Architecture
Microservices are purpose-built for systems that need to evolve rapidly, scale independently, and reflect complex business domains. They bring engineering and product teams closer to autonomy, without losing cohesion.
- Each microservice represents a narrowly scoped business capability, developed and deployed independently
- Decoupling reduces system-wide risk: changes to one service rarely ripple through the entire platform
- As teams grow, microservices allow for parallel development, faster iteration, and domain ownership
- They’re also cloud-native by design, scaling only what’s necessary and integrating seamlessly with CI/CD pipelines, container platforms, and observability tooling
Serverless Architecture
The serverless architecture involves using cloud computing technology to create and execute services and apps. Such an architecture is located beyond the microservices and handles code deployment and execution without considering infrastructure management and server conditions. A third-party cloud service, such as AWS, handles the provisioning process and server maintenance.
The app executes on various servers and removes the need for additional databases and resources. It provides a suitable option for apps that are event-driven, easy to scale, stateless, and hostless.
Choosing a cloud service provider, such as Amazon, offers a suitable option to execute the app without defining the architecture. There are several cloud service providers, such as Google Cloud Functions and lambda functions on AWS.
Why Choose Serverless Architecture
Serverless architecture is ideal for teams who want to build fast, scale effortlessly, and focus solely on business logic—without the burden of managing infrastructure.
- It significantly reduces operational cost and complexity by shifting provisioning, scaling, and maintenance to the cloud provider
- You pay only for compute time and memory, making it cost-efficient for unpredictable or bursty workloads
- Serverless apps scale automatically in response to demand, allowing your product to grow without re-architecting
- You gain agility without sacrificing control, because developers focus purely on writing and shipping code
Making the Right Call
There is no universal “best” architecture. But there is a best-fit, a choice grounded in your team’s skill set, your product’s complexity, and your organization’s appetite for operational overhead.
- If you’re moving fast with an unproven idea: Monolith gets you to market quickly.
- If you’re dealing with sprawling, legacy-heavy domains: SOA offers a structured way forward.
- If your app is growing in scale, complexity, or team size: Microservices provide modular velocity.
- If your focus is event-based logic and low ops overhead: Serverless gives you speed and efficiency. \
In the end, architectural decisions aren’t just technical. They’re deeply human, shaped by your team’s strengths, your business goals, and how much future complexity you’re willing to take on today.
| Architecture/Criteria | Deployment Model | Scalability | Speed to Market |
| Monolith | Single unit | Limited; scales whole system | Fast |
| SOA | Modular services | Moderate; via modular services | Slower due to coordination overhead |
| Microservices | Independently deployable services | High; scale individual services | Moderate; CI/CD is crucial |
| Serverless | Function-level deployments | Auto-scalable by provided | Very fast for isolated use cases |
FAQs
1. Which architecture is best for AI and data-heavy workloads?
If your system involves real-time analytics, AI inference, or data pipelines, microservices or serverless often work better than monoliths. They allow you to decouple batch jobs, scale independently, and integrate with event-driven pipelines or model endpoints.
2. Can I mix these approaches?
Yes, many mature systems are hybrids. A monolith might handle core logic, while serverless handles edge events. Microservices might co-exist with legacy SOA in enterprise environments.
3. Can I start monolithic and evolve to microservices later?
Yes, and in most cases, you should. Many successful systems begin with a modular monolith. If you define clean service boundaries and avoid tight coupling, you can gradually extract microservices as scale demands. Premature microservices can create more problems than they solve.
