Monolith vs Microservice Architecture: A Comparison

Learn the difference between microservice and monolith architectures, and which is better for your next project.
By
  • Blog
  • >
  • Monolith vs Microservice Architecture: A Comparison
TOPICS

30 Day Free Trial

Bring together legacy systems, RPA bots, microservices and more with Camunda

Sign Up for Camunda Content

Get the latest on Camunda features, events, top trends, and more.

TRENDING CONTENT

Choosing the right architecture for your new application is critical to its future success. Lucky for you, in this article, we’ll compare two popular and very valid approaches: monolithic architecture and microservice architecture.

Join me as we explore the strengths and weaknesses of both monoliths and microservices. By the end, you’ll have a clear understanding of when to choose one over the other.

So, whether you’re an experienced architect or a curious developer, let’s embark on this comparison journey to find the perfect fit for your next project!

Monolithic architecture

Alright, let’s start by unpacking the traditional monolithic architecture. Imagine it as a sturdy, all-in-one structure where all components of an application are tightly bundled together. It’s like a big, old castle where everything resides within its walls.

In the context of a web application (to put an example), we’re talking about having the backend and the frontend code inside the same project. Pushing the example even further, the backend code is part of the same process.

A visual of monolithic architecture, showing how all components are held together in a single server, which is displayed between the user and the data store.

Let’s now go over the pros and cons of this approach to understand it a bit better.

What are the advantages of the monolith approach?

One of the key advantages of monolithic architecture is its simplicity and ease of development. With all the components tightly coupled, it’s relatively straightforward to write and test code. You have a single codebase to manage, making it easier to understand the application’s overall logic.

Performance and efficiency are also strong points of monolithic architecture. Since all the components run within the same process, there’s no need for inter-process communication. This means faster execution times and minimal overhead (we’ll get back to this point in a second).

Another benefit of the monolithic architecture is the shared data environment. All components have direct access to the same database, allowing them to share data seamlessly. This eliminates the need for complex data synchronization mechanisms.

What are the disadvantages of the monolith architecture?

Monoliths sound good so far, but sadly, it’s not all rainbows and sunshine. Monolithic architectures come with their fair share of challenges.

One of them is scaling. Scaling monoliths can be tricky since the entire application needs to scale as a whole.  This can result in wasted resources if only certain components require additional resources.

Remember when I said earlier that one of the advantages of monoliths was their internal performance? Well, it’s also a big problem, kind of. If you think about it, the entire monolith is consuming the resources of the server where it’s running (be it a dedicated server, VM, or what have you). If you have a complex system where you offer many features, the entire system will suffer if only one of those features suddenly requires extra resources. Imagine that a user uploaded a big file that needs processing, and suddenly your log-in flow is affected. That leads to a terrible user experience.

What’s even more, monoliths tend to be tied to a specific technology stack. If you want to introduce new technologies or frameworks, you might need to refactor the entire application. This lack of technology diversity can limit your options and slow down innovation (ever had to maintain a 10-year old monolith? Certainly you won’t find any React or NextJS code in there).

When it comes to deployment and maintenance, monolithic architectures can be a bit cumbersome. Any changes or updates require redeploying the entire application, leading to longer downtimes and potential disruptions.

In summary, monolithic architecture offers simplicity and efficiency, with a single codebase and shared data. However, it can present many challenges in terms of scalability, limited technology diversity, and deployment/maintenance.

Are they the worst technical decision ever made? Absolutely not! There are use cases for them, and we’ll talk about that in a minute.  

Let’s now understand what microservices are and their pros and cons.

Microservice architecture

Now, let’s shift gears and immerse ourselves in the world of microservice architecture. Imagine a modern city with various independent buildings, each serving a specific purpose. That’s the essence of microservices—breaking down the application into smaller, autonomous services that communicate with each other. When using the same example with a monolith, you’d have the entire population of the city inside a single massive building where everyone would work, shop, and live at the same time.

A visual of a microservices architecture, showing how each components has its own server, each of which is connected to a single frontend and different datastores.

What are the advantages of microservice architecture?

Microservice architecture offers a range of advantages that have captured the attention of developers worldwide.

One of its key strengths is scalability and flexibility. Each microservice can be independently scaled based on its specific needs. This granular scalability allows for efficient resource allocation and optimal performance, especially when dealing with varying workload demands.

Technology diversity and autonomy are also inherent to microservices. Since each service operates independently, different technologies and frameworks can be used for each service as long as their interfaces are technology agnostic (such as using HTTP APIs, or Web Sockets). This opens up a world of possibilities, empowering teams to choose the best tools for their specific tasks. It’s like having a vibrant ecosystem where each service can evolve and innovate on its own terms.

Continuous delivery and deployment are other significant advantages of microservice architecture. Since each service is decoupled, it can be developed, tested, and deployed independently. This enables faster time-to-market, as updates and new features can be rolled out without affecting the entire application. It’s like having an agile fleet of services ready to evolve and adapt at any time. This also opens up the door to having multiple teams working in parallel on each microservice, significantly increasing development times.

All in all, microservices are pretty neat. But like with everything in our industry, no matter how much a piece of tech can shine, it’s never going to be gold. There are some dark spots related to microservices that we should address.

What are the disadvantages of microservices?

The freedom and flexibility that microservices bring to the table, also come with some hurdles.

The complexity of managing a distributed system is one such hurdle. Coordinating inter-service communication, handling failures, and ensuring data consistency across services require careful design and implementation. After all, if you have multiple microservices, they’ll have to talk to each other, share data, and what happens if one of them suddenly crashes? How do the other services recover from that event? Where is each service storing its data? Those are all questions you’ll have to answer before going live. And now imagine if you had 30 microservices, or 100 (which is not such a crazy number for large systems), can you answer all those questions for all of them?

See the problem now?

The communication and coordination overhead between microservices can also be a consideration. As the number of services grows, managing interactions and maintaining data consistency can become more intricate. This means additional effort is needed to implement effective communication mechanisms, such as APIs or message queues.

In summary, microservice architecture offers scalability, technology diversity, and continuous delivery benefits. However, it comes with challenges related to complexity, distributed systems, and inter-service communication.

Comparison of monolith vs microservice architectures

To provide a clear and concise overview, let’s compare monolithic and microservice architectures side by side. This will allow us to easily grasp the differences in various aspects.

AspectMonolithic ArchitectureMicroservice Architecture
Development and DeploymentSingle codebase, straightforward development and deployment processesDecentralized development, each service developed and deployed independently
Scalability and PerformanceScaling the entire application, potential resource wastageGranular scalability, optimal resource allocation based on service needs
Maintainability and ExtensibilitySingle codebase, easier to understand and maintainIndependent services, easier to add new features without impacting the entire application
Technology Diversity and AutonomyLimited technology stack, tied to a specific set of technologiesDiverse technologies for each service, freedom to choose best-fit technologies
Fault Tolerance and ResilienceSingle point of failure, failures affect the entire applicationIsolated failures, better fault tolerance and resilience
Communication and CoordinationDirect function calls, easier communication and data sharingInter-service communication, additional effort for coordination and data consistency

Whether you go with one or the other will depend on various factors such as project requirements, team expertise, and scalability needs. The table above should help you understand the trade-offs between the two approaches.

Choosing between monolithic and microservices architectures

It’s time, you now understand both sides of the architectural coin, and the only thing left for you to do is to pick the right one for you.

Again, not an easy task, there are many factors to take into account before making the call, and that’s why we’re going to quickly go over a few use cases for each option, so you can understand where each one shines.

Top use cases for a monolithic architecture

Let’s explore some example use cases where the monolithic approach fits well:

  1. Small to Medium-sized Applications: For relatively simple applications with limited functionality and smaller development teams, a monolithic architecture can offer a straightforward and cost-effective solution. The simplicity of a single codebase and shared data environment can streamline the development and maintenance processes.
  2. Prototyping and Proof-of-Concept Projects: When you’re in the early stages of a project and need to quickly validate ideas or test concepts, a monolithic architecture can be a practical choice. Its simplicity allows for rapid development iterations, enabling you to iterate and gather feedback efficiently. No need to have a fully scalable and flexible PoC, that will only make you spend time tackling problems that are not related to the actual concept you’re trying to prove.
  3. Resource-Constrained Environments: In certain environments with limited infrastructure resources or restricted deployment options, a monolithic architecture can be advantageous. It requires fewer resources to run compared to a distributed microservice setup, making it more suitable for environments with hardware or cost limitations.
  4. Single-Function Applications: Applications that primarily perform a single, well-defined function without complex integrations or extensive scalability requirements can benefit from a monolithic architecture. Since the entire application operates within a single process, it can deliver efficient performance for such focused use cases.Plus if you need to scale it, you can simply add more replicas of the monolith behind a load balancer and your problems are solved.
  5. Legacy Systems: Modernizing and migrating legacy systems can be a complex task. In some cases, it may be more practical to keep the existing monolithic architecture and gradually refactor or introduce microservices where necessary. This approach allows for a phased transition, minimizing disruptions and leveraging the existing codebase.

Remember, these are just a few examples, and the whether or not the monolithic architecture is “right” for you depends on the specific context of your project. Evaluating factors such as project size, complexity, scalability needs, and resource constraints will guide your decision-making process.

Top use cases for microservices

Microservice architecture offers a range of benefits that make it an attractive choice for certain use cases. Let’s explore some examples where microservices excel:

  • Large and Complex Systems: When dealing with large-scale applications with complex functionality, microservice architecture shines. Breaking down the system into smaller, independent services allows for better organization, maintainability, and scalability. Each service can focus on a specific business capability, leading to more manageable development and maintenance.
  • High Scalability and Elasticity: Applications that experience fluctuating or unpredictable workloads can greatly benefit from microservices. With granular scalability, each service can be scaled independently based on its specific demand. This allows for efficient resource utilization, as you can allocate resources precisely where they are needed, ensuring optimal performance and cost-effectiveness.
  • Technological Heterogeneity: In projects that require using different technologies or frameworks for some components, microservices provide the flexibility to do it. Each service can be developed using the most suitable technology stack for its specific requirements. This allows development teams to leverage the strengths of different technologies and choose the best tools for the job.
  • Continuous Deployment and DevOps Culture: Microservices align well with the principles of continuous integration, delivery, and deployment. You see,  each service can be independently developed, tested, and deployed, unlocking rapid iteration and faster time-to-market. This approach supports an agile and DevOps-oriented development culture, promoting faster and more frequent releases.
  • Domain-Driven Design: Applications with complex domain models and distinct bounded contexts can benefit from microservices. By aligning services with specific subdomains, you can achieve better separation of concerns, encapsulation, and maintainability. This promotes a modular approach, where each microservice focuses on a specific business capability and can evolve independently.

It’s important to remember that while microservices offer numerous advantages, they come with added complexity. Consider factors such as the project’s size, scalability needs, team expertise, and the ability to handle the operational overhead associated with a distributed system to make the decision.

Microservice vs monolith: Which one is better?

You’ve probably guessed it by now, but the answer to the question of “what architecture is better between microservices and monoliths?” is: they’re both good and they’re both bad.

I know how it sounds, but asking that question is the wrong approach. Instead, you should be asking yourself: “what architecture is better between microservices and monoliths for my project?”

And in that case, the answer would be: “it depends”

Choosing the right architecture for your application is a critical decision. We compared monolithic and microservice architectures, and we explored their pros as well as their cons.

Monolithic architecture offers simplicity, efficiency, and shared data environments. On the other hand, microservice architecture provides scalability, flexibility, and technology diversity.

When making a decision, consider all your context. Factors such as project size, complexity, scalability needs, team expertise, and even deployment constraints. They’re all important and relevant, and you should aim to strike a balance between the benefits and challenges of each architecture.

Remember, there’s no proverbial “silver bullet” when it comes to software architecture. The right architecture depends on your specific project requirements and organizational context. Stay informed, evaluate trade-offs, and choose an architecture that aligns with your long-term goals.

Good luck on your architectural journey!

Start the discussion at forum.camunda.io

Try All Features of Camunda

Related Content

Excited by the potential of Camunda Marketplace, LTIMindtree held a hackathon to generate the best Connector to submit. Here's how they did it.
Learn how a new Connector can improve the way you handle files in the cloud with Camunda. You can get the Connector today in Camunda Marketplace.
Learn how to get started with automated underwriting, what the benefits are and why automation in underwriting is important.