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software development
Aleksander Furgal Published: 25 Apr 2023 11 min to read

Microservices vs. Monolithic Architecture: Breaking Down the Pros and Cons

Microservices have been in the spotlight since the late 2000s, and their relevance shows no signs of slowing down.

Netflix, Google, and Amazon are leading the pack in adopting the microservices architecture, reaping the rewards of amplified scalability, flexibility, and agility. Partnering with microservices specialists has become the go-to option for tech companies looking to drive business growth.

Meanwhile, the monolithic approach is still very much in use. Although it presents challenges to scaling, it is also highly reliable and significantly more straightforward to manage than microservices.

This article will compare these two architectural styles of developing software applications. We will define what they are, list all their perks and pitfalls, and explain how they differ in crucial aspects such as security, scaling, performance, testing, time to market, cost, and reliability.

We will also provide you with guidelines for choosing between microservices and monolithic architecture, depending on your specific needs and the context at hand.

Microservices vs monolithic architecture

Microservices are a collection of small, independent services, while monolithic architecture structures an application as a single unit with tightly coupled processes.

 

What are microservices?

Microservices design is an architectural and organizational approach to software development that structures an application as a collection of small, independent services. Each service is led by a small, self-contained team focusing on a single task and communicating with others over well-defined APIs. 

Microservices make applications easier to scale and faster to develop, driving innovation and reducing time-to-market for new features. This approach is not without its drawbacks, however, so in order to provide a clearer explanation of its functioning, let’s examine its advantages and disadvantages in detail:

 

# Pros

The benefits of microservices include:

  • Agility: Microservices foster an organization of small, independent teams that take ownership of their services. Teams act within a small and well-understood context and are empowered to work more independently and quickly. This approach shortens development cycle times and increases the throughput of the organization.
  • Flexible scaling: Microservices allow each service to be independently scaled to meet the demand for the application feature it supports. This enables teams to right-size infrastructure needs, accurately measure the cost of a feature, and maintain availability if a service experiences a spike in demand.
  • Easy deployment: Microservices architectures make applications easier to deploy and update. Each service can be deployed separately without affecting the functioning of others. This way, the risk of deployment failures is reduced, which enables faster feedback cycles. It also allows teams to adopt different technologies and tools for each service according to their needs.
  • Resilience: Microservices architectures make applications more resilient to failures. Each service is isolated from others; if it fails, it does so without causing a system-wide outage. As a result, the availability and reliability of the application improve, and teams can implement fault-tolerance mechanisms such as retries, circuit breakers, fallbacks, and bulkheads.

 

# Cons

The challenges of microservices are:

  • Complexity: Microservices architecture introduces additional complexity to the system. Each service has its own code base, configuration, dependencies, data store, testing strategy, and deployment pipeline. This increases the cognitive load for developers and requires more coordination and communication among teams. It also requires more infrastructure and tooling to manage the distributed system.
  • Data consistency: Microservices architecture makes data consistency harder to achieve. Each service has a data store, and transactions are scoped to a single service. This means there is no global transaction or shared database across services, which leads to inconsistencies and requires teams to implement strategies such as sagas, event sourcing, or compensating transactions to handle data consistency across services.
  • Network latency: Microservices architecture increases the network latency between services. Each service communicates with other services over web interfaces using lightweight protocols such as HTTP or messaging. This adds network overhead and increases the response time of the application. It also introduces network failures and requires teams to implement strategies such as timeouts, retries, or caching to handle them.
  • Monitoring and debugging: Microservices architecture makes monitoring and debugging more difficult. Each service generates its own logs, metrics, and traces that must be aggregated and correlated across services. This requires more infrastructure and tooling to collect, store and analyze the data. It also requires teams to adopt standards and best logging, tracing, and observability practices.

Microservices and monolithic architectures both have their place in the software development landscape. It is critical to be aware of the key distinctions between these two approaches at the design stage of your project. Changing the underlying architecture after you deploy your application can be time-consuming and costly, so careful consideration at the outset is essential. Mike Jackowski COO, ASPER BROTHERS Let's Talk

 

What is monolithic architecture?

Monolithic architecture is an architectural style that structures an application as a single unit that runs as a single process. All processes are tightly coupled and share the same code base, configuration, dependencies, data store, testing strategy, and deployment pipeline.

To better illustrate how monolithic architecture works, let’s take a look at the pros and cons of this approach:

 

# Pros

The benefits of monolithic architecture are:

  • Simplicity: Monolithic architecture simplifies the development process. There is only one code base, configuration, dependency, data store, testing strategy, and deployment pipeline to manage. This reduces the cognitive load for developers and requires less coordination and communication among teams. It also requires less infrastructure and tooling to run the system.
  • Data consistency: Monolithic architecture ensures data consistency across the application. There is only one data store, and transactions are scoped to the whole application. This means there is no need to implement strategies to handle data consistency across services.
  • Performance: Monolithic architecture also reduces network latency between processes since all processes run within the same application and communicate with each other using function calls or shared memory. This reduces network overhead and improves the response time of the application. It also eliminates most network failures and requires less work to handle them.

 

# Cons

The challenges of monolithic architecture include:

  • Rigidity: Monolithic architecture makes the application rigid and difficult to alter. Any change to the application requires updating the entire code base and redeploying the whole application. Naturally, this increases the risk of deployment failures and slows down feedback cycles. It also limits the ability to adopt different technologies and tools for different parts of the application according to their needs.
  • Scalability: Monolithic architecture makes the application challenging to scale. The whole application has to be scaled as a single unit, even if only one part of it experiences high demand. This wastes resources, increases costs, and reduces availability if the application fails to scale.
  • Reliability: Monolithic architecture makes the application vulnerable to failures. Any bug or error in any part of the application can affect the whole system and cause a system-wide outage. This reduces the availability and reliability of the application. It also makes it harder to implement fault-tolerance mechanisms such as retries, circuit breakers, fallbacks, and bulkheads for different parts of the application.

 

Microservices vs. monolithic architecture: a detailed comparison

Now that we have seen what microservices and monolithic architectures are, let’s directly compare them in various aspects such as security, scaling, performance, testing, time to market, cost, and reliability.

Let’s begin with a quick overview of both approaches in the form of a comparison table. Then, we will describe each of those aspects in depth.

 

Microservices Monolith
Structure

Modular.

One unit.

Flexibility

Diverse tech stack. Possible to integrate with new technologies to solve business purposes.

Single tech stack. Not flexible and impossible to adopt new tech, languages, or frameworks.

Scalability

Each element can be scaled independently without downtime.

Hard to maintain and handle new changes; requires redeploying the whole system.

Deployment

Deployment of individual services. Requires distinct resources, making orchestrating the deployment complicated.

Simple and fast deployment of the entire system.

Development

Teams of developers work independently on each component.

Due to the indivisible database, it’s impossible to distribute the team’s efforts.

Time to market

Fast to deploy and easy to update.

Complicated and time-consuming deployments vulnerable to bugs.

Cost

The original cost is high, reduced over time.

The original cost is low, increases over time.

Reliability

Resilient thanks to service autonomy. Failure in one microservice does not affect other services.

Vulnerable due to close coupling. One bug or issue can affect the whole system.

Visibility

High. Possible to assess progress at any point.

Low.

Troubleshooting

Easy.

Harder as the application grows in size.

Security

Interprocess communication requires API gateways, which raises security concerns.

Communication within a single unit makes data processing secure.

Testing

Independent components are tested individually.

End-to-end testing.

 

#1 Security

Security is vital to software development as it safeguards the application from unauthorized access, data breaches, and other malicious attacks.

In a microservices architecture, security can be implemented at the service, API, and network levels. Each service can have its own authentication and authorization mechanisms, such as tokens or certificates, to ensure that only authorized clients can access it. Each API can have its own security policies, such as encryption or rate limiting, to guarantee that only valid requests can be processed. Finally, each network can enforce its own security measures, such as firewalls or VPNs, to verify incoming connections.

In contrast, in a monolithic architecture, security can only be implemented at the application or network level, with the entire application having a single authentication and authorization mechanism, security policy, and security measure.

The main benefit of microservices architecture over monolithic architecture in terms of security is its granularity and flexibility. It allows teams to tailor security measures according to their specific needs, limits the impact of security breaches, and reduces the attack surface.

However, microservices architecture introduces more complexity and overhead in managing security across multiple services, APIs, and networks. It requires more infrastructure, tooling, coordination, and inter-team communication to enforce security policies and best practices consistently.

 

#2 Scaling

Scaling involves adjusting the application’s capacity to handle more load or reduce resource consumption.

Scaling in microservices can also be performed at the service, API, and network levels. Each of these can be scaled independently based on their demand, resource consumption, throughput, latency, bandwidth, and reliability, without affecting the other services, APIs, or networks.

Within monolithic architecture, scaling can be achieved either at the application or network level. However, scaling the whole application as a single unit can be inefficient and expensive. Similarly, scaling the network can be challenging and risky.

Microservices architecture offers greater control and adaptability by enabling horizontal scaling of individual services, which leads to optimized resource utilization, reduced costs, and improved availability. This is a significant advantage over monolithic architecture when it comes to scaling.

The drawback of microservices architecture over monolithic architecture in terms of scaling is the heightened intricacy and burden of overseeing scaling across numerous services, APIs, and networks. This entails supplementary infrastructure, tooling, coordination, and communication to guarantee uniform implementation and optimization of scaling policies, standards, and procedures.

 

#3 Performance

Performance involves measuring and optimizing the application’s speed, efficiency, and quality.

Within microservices, performance can also be measured and optimized at all levels and for every component. Each of them can have its own performance metrics, such as response time, throughput, or error rate for services; latency, bandwidth, or availability for APIs; or congestion, packet loss, or jitter for networks.

Within monolithic architecture, performance can be measured and optimized only at the application or network levels. The whole application only has general performance metrics for the efficiency and quality of the network and the application itself.

The advantage of microservices architecture over monolithic architecture in terms of performance is that it allows teams to identify and resolve performance issues faster and easier. Monolithic architecture can become bloated and slow as the application grows in size.

The disadvantage of microservices architecture over monolithic architecture in terms of performance is that collecting, storing, and analyzing performance data can get quite complex with that many entry points. It also requires more team coordination and communication to ensure performance standards are followed.

 

#4 Testing

Testing involves verifying and validating the application’s functionality, quality, and usability. Software quality assurance helps reduce problems and errors in the final product.

Within microservices, testing can be done at different levels, such as unit, integration, and end-to-end, for each service independently. In contrast, with monolithic architecture, testing is done at the same levels but for the whole application as a single entity.

The advantage of microservices architecture in terms of testing is that teams can test faster and more frequently, using varying tools and frameworks. On the other hand, its increased complexity and overhead in testing across multiple services requires a more extensive infrastructure, increased coordination among teams, and significantly more time.

Microservices vs monolithic architecture

A monolithic application is built as one entity, with all its layers woven into an indivisible database.

 

#5 Time to market

Time to market focuses on delivering value to customers as quickly as possible.

Within microservices, time-to-market can be improved by enabling faster development and deployment cycles. Small, self-contained teams can update and develop each service independently and deploy it without affecting the rest of the application. This reduces the risk of deployment failures and enables faster feedback loops.

In contrast, monolithic architecture slows development and deployment cycles because large, interdependent teams must coordinate and communicate more frequently and formally. Moreover, the whole application is deployed as a single unit, which increases the risk of deployment failures and slows down feedback loops.

The advantage of microservices architecture in terms of the time-to-market metric is that it enables faster and more frequent delivery of value to customers with minimal risk of deployment failures.

 

#6 Cost

Estimating and optimizing the application’s expenses and revenues is integral to all commercial software development.

Contrary to monolithic architecture, microservices allow for cost estimation and optimization at different levels, enabling teams to optimize resource utilization, reduce costs, and increase revenues with extreme detail.

Microservices architecture is usually more expensive to develop and maintain due to the additional complexity and the need for more specialized skills. However, although the monolithic architecture is a more cost-effective choice in the short term, it may become more expensive in the long term due to the need for extensive modifications as the application grows. This is why, if you’re planning for a bigger project and you’re not limited by funding, microservices are the better choice.

 

#7 Reliability

In the case of microservices, ensuring reliability involves implementing various mechanisms at the service, API, and network levels. These mechanisms include retries, circuit breakers, fallbacks, bulkheads, timeouts, caching, load balancing, firewalls, VPN tests, and encryption. This allows teams to handle failures faster and more efficiently, limiting the impact of a single service or API.

In contrast, monolithic architecture relies on a single reliability mechanism for the entire application or network. This approach can be less flexible and more challenging to manage.

Moreover, microservices architecture can be more reliable than monolithic architecture since a failure in one service does not bring down the entire application.

 

Microservices vs. monolithic architecture: which is a better fit for your needs?

There is no definitive answer to whether microservices or monolithic architectures are better for your software application. It depends on a number of factors, such as:

  • The size and complexity of your application: If your application is small and straightforward, a monolithic architecture may be sufficient and easier to manage. A microservices architecture may be more suitable and scalable if your application is large and complex.
  • The speed and frequency of your development and deployment cycles: If you need to develop and deploy new features quickly and frequently, a microservices architecture may be more agile and flexible. If you do not need to update your application often or rapidly, a monolithic architecture may be more stable and reliable.
  • The diversity and preferences of your development team: If you have a large and diverse team that prefers to use different languages, frameworks, and tools for different parts of your application, a microservices architecture may be more accommodating and empowering. If you have a small and homogeneous team that prefers to use the same language, framework, and tool for the whole application, a monolithic architecture may be more consistent and coherent.
  • The nature and scope of your business domain: If your business domain is complex and dynamic, a microservices architecture may be more adaptable and evolvable. A monolithic architecture may be more reliable if your business domain is simple and stable.

In general, microservices architectures are more suitable for large-scale, complex, and distributed applications that must be agile, scalable, and resilient. Monolithic architectures, on the other hand, are more suitable for small-scale, simple, and standalone applications that need to be stable, reliable, and efficient.

 

Conclusion

This article has compared microservices and monolithic architectures in various aspects, such as security, scaling, performance, testing, time to market, cost, and reliability. We have also provided some guidelines for choosing between the two methodologies depending on your needs and context.

We hope this article has helped you understand the pros and cons of each architectural style and make an informed decision for your software application.

Remember that there is no one-size-fits-all solution for software design and development.

Before choosing an architecture, you should always evaluate your requirements, constraints, and trade-offs.

 

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Aleksander Furgal

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