For years, microservices became the default answer to almost every software architecture discussion. It’s now modular monolith vs microservices.
Need scalability? Microservices.
Need reliability? Microservices.
Need to impress investors and recruiters? Throw Kubernetes on it and split your CRUD app into 47 services.
Somewhere along the way, the software industry convinced itself that every application needed Netflix-level architecture. Now reality is setting in.
A growing number of companies are discovering that microservices come with enormous operational overhead, increased infrastructure costs, debugging nightmares, and complexity that many teams simply do not need. Not every project requires distributed systems, and honestly, most projects probably never did.
Modular Monolith vs Microservices: The Rise of Microservices
Microservices exploded because they solved legitimate problems for massive companies.
When companies like Netflix, Amazon, Uber, and Spotify started discussing distributed architectures publicly, the entire industry followed. The idea sounded perfect: independently deployable services, isolated failures, scalable systems, separate development teams, and language flexibility.
On paper, it looked like engineering paradise.
Instead of one giant application, functionality could be split into smaller services that each handled one responsibility well. At massive scale, this absolutely makes sense.
The problem is that many companies adopted microservices long before they ever reached that level of scale.
Most Companies Do Not Have Netflix Problems
This is the part many engineers are finally realizing.
A company with five developers, moderate traffic, and a basic CRUD application probably does not need Kubernetes clusters, distributed tracing, service meshes, dozens of APIs, and independent deployment pipelines. Yet that became the industry trend anyway.
Suddenly, simple applications transformed into massively distributed systems with operational complexity far beyond the actual business requirements. That is where the backlash started.
Modular Monolith vs Microservices: The Hidden Cost of Microservices
One of the biggest misconceptions about microservices is that they reduce complexity. In reality, they usually move complexity away from the codebase and into infrastructure, networking, deployment pipelines, monitoring systems, service communication, authentication, observability, and cloud orchestration.
That trade-off becomes painful quickly.
Instead of debugging a simple function failure, teams suddenly find themselves troubleshooting service discovery, API gateway routing, retry storms, distributed tracing, container orchestration, and CI/CD synchronization issues. One bug can involve five services, multiple databases, queues, and an observability platform that costs more than the original server itself.
The architecture becomes harder to reason about because the system is no longer contained in one place.
Modular Monolith vs Microservices: Cloud Costs Are Becoming a Real Problem
This is where things get expensive.
Microservices thrive in cloud-native environments, but cloud costs scale aggressively when every service requires its own compute resources, logging, monitoring, scaling policies, networking, and deployment infrastructure.
One service is manageable. Fifty services are not.
Many companies are now realizing they built highly distributed architectures before they actually had distributed scale. That mistake becomes very noticeable once the monthly cloud bill starts climbing.
Modular Monolith vs Microservices: Even Big Tech Is Reconsidering It
The industry is quietly shifting.
Searches for terms like “microservices vs monolith 2026,” “microservices cost overhead,” and “modular monolith architecture” are growing rapidly because teams are reassessing whether microservices were a premature optimization.
Reports suggest that many organizations adopting microservices are now consolidating systems back into modular monoliths to reduce operational complexity and infrastructure costs. Amazon Prime Video became one of the most talked-about examples after moving workloads away from serverless microservices and reportedly reducing infrastructure costs dramatically.
That should tell developers something important.
The biggest companies in the world are no longer blindly chasing hype. They are optimizing for operational reality.
Modular Monolith vs Microservices: My Experience With Both Architectures
I’ve worked with both monolithic and microservice architectures, and honestly, both approaches have trade-offs.
One of my earlier systems used Java with Spring Boot and jQuery. Everything ran as one executable, deployment was straightforward, versioning stayed consistent, and managing the application on the server was simple. For smaller projects or moderate traffic, it worked extremely well.
There was no service orchestration, no distributed debugging, and no wondering which microservice broke authentication. The application simply ran.
On the other hand, I’ve also worked in microservice environments using Golang, Vue, Node services, and separate APIs handling isolated responsibilities. That setup had clear advantages as well. Multiple developers could work independently, and deployments became more flexible because individual services could be updated without redeploying the entire platform.
That flexibility is powerful.
However, the infrastructure overhead grows quickly. Now you need more deployment pipelines, more environment configurations, more networking rules, more monitoring systems, more authentication management, and more server provisioning.
If you own the hardware directly, that overhead hurts less. In cloud environments, though, every additional service adds cost.
Eventually, another issue starts appearing: overlapping code. Some microservices become so tightly related that you begin questioning why they were separated in the first place.
Modular Monolith vs Microservices: The Modular Monolith Is Making a Comeback
This is exactly why modular monoliths are gaining attention again.
A modular monolith keeps clear boundaries, domain separation, and organized architecture without immediately introducing distributed networking, orchestration overhead, and infrastructure sprawl.
You still structure the application carefully. You still isolate responsibilities properly. However, everything runs within a single deployable system.
That middle ground solves a surprising number of problems.
Teams get architectural organization without paying the full operational cost of microservices. For many businesses, that is the sweet spot.
Microservices Still Have a Place
This is not an anti-microservice article.
Microservices absolutely make sense in certain environments. Large engineering organizations benefit heavily from independent deployments and isolated scaling. Massive systems handling millions of requests per day often require distribution to avoid bottlenecks and organizational slowdown.
At that level, microservices solve real problems.
However, many teams adopted them before they actually needed them. That is the real issue.
Architecture Should Solve Business Problems
Too many software decisions are driven by hype instead of actual requirements.
Architecture should be based on scale, team size, deployment needs, operational budget, business goals, and long-term maintenance. It should not be dictated by engineering ego or the desire to mimic FAANG companies.
Sometimes a monolith is the right answer. Sometimes microservices are. In many situations, the smartest move is starting with a modular monolith and only splitting services when real scaling problems appear.
That approach usually saves time, money, operational stress, and developer sanity.
Final Thought on Modular Monolith vs Microservices
The software industry spent years treating microservices like the final evolution of backend architecture. Now many teams are discovering the hidden cost of that complexity.
Distributed systems are powerful, but they are not free. They demand infrastructure maturity, operational discipline, and engineering resources that many organizations simply do not have.
Most companies do not need Netflix architecture.
They need reliable software that solves business problems without burning money and developer time in the process. Sometimes the boring solution is the smarter one.