Why Companies Are Abandoning Microservices for Monoliths – The Hidden Costs Revealed
After years of hype, many leading firms such as Amazon, Alibaba, and Google are reverting to monolithic architectures, exposing the hidden operational, performance, and maintenance costs of microservices and highlighting when a single, well‑structured codebase can be more efficient and manageable.
Why the Microservice Hype Is Fading
For years we were told that microservices are the future: "Split everything into small independent services, let teams scale independently, deploy faster, and act more agile."
"We went too far."
What’s Wrong With Microservices?
The original promises sound attractive:
Each feature can be updated independently (change one place without affecting others)
Teams can own their own stack (frontend, backend, database each handled separately)
Clear boundaries (who owns what is obvious)
In practice, many teams encounter the following problems:
Code becomes a pile of Lego bricks – hundreds of tiny components that newcomers can’t understand
Systems get slower – services constantly exchange data, like couriers running out of stamina
Constant plumbing work – engineers spend most of their time maintaining servers and debugging communication
Bug hunting feels like detective work – "Where did this error originate?"
If you’ve been there, you’ve probably sighed at your screen: "Where’s the promised convenience? Why is it getting more complicated?"
A Simple Example
Imagine building an e‑commerce system. A microservice split might look like this:
Authentication Service Product Catalog Service Cart Service Order Service Notification ServiceCool, right? But then you need to:
Glue all services together with Kafka or RabbitMQ
Share sessions via Redis
Run a CI/CD pipeline that takes 30 minutes for all services
Write a lot of code just to make services talk to each other
A “simple” new feature now requires changes in five services, three pull requests, and approvals from two teams.
Real‑World Microservice Experience
Developing an online store typically splits into modules such as user login, product display, cart, order processing, and notifications. While the division looks logical, the reality includes:
Special tools (Kafka, RabbitMQ) to connect modules
Additional data‑sharing systems (Redis)
Half‑hour‑plus CI/CD cycles for every update
Lots of code just for inter‑module messaging
Hidden Costs of Microservices
"Microservices don’t really simplify the system—they just move the difficulty elsewhere."
When everything is packaged in a single large application, all problems stay within the code. After adopting microservices, you face:
Slower inter‑server communication
Strict interface contracts
Data‑synchronization issues
More complex individual releases
Need to track the location of each service
Additional monitoring tools required
Experienced engineers note that managing dozens of dispersed services is far harder than maintaining a well‑designed monolith.
Why Are Big Systems Returning to Monoliths?
Simplicity wins. A monolithic system offers:
All functionality in one program
Debugging feels like looking up a dictionary
Code changes are straightforward
No cross‑service integration headaches
Simpler development environments
Modern languages like Go or Rust and containerized deployment now allow monoliths to handle massive traffic efficiently.
Real Enterprise Cases: From Microservices Back to Monolith
Shopify : Previously split everything into small services, now consolidating into a large system.
Segment : After performance and productivity issues with microservices, published a post titled “Why We’re Dropping Microservices.”
Even Amazon admits that microservice architecture only works if many other problems are solved first.
A New Approach: Integrated Modular Design
Many companies are trying a hybrid model:
The whole system is packaged and run as a single unit.
Internal functional modules have clear boundaries.
It borrows microservice ideas for module division without extra network overhead.
This lets you keep:
Clear functional separation
No cross‑service communication concerns
Avoid complex deployment pipelines
For Java projects, the code structure might look like:
/cart # Shopping cart feature
/order # Order management
/notification # Message notificationsAlthough they appear as independent modules, they belong to the same cohesive system.
Should You Abandon Microservices Entirely?
Not necessarily. Microservices still make sense for:
Platforms serving millions of users
Organizations with many teams needing rapid, independent updates
Teams that have mastered monitoring and automated deployment
Conversely, small teams (<50 people) focusing on a single core product and spending more time on maintenance than feature development may benefit more from a monolith.
Choosing the Right Technical Solution
Technology trends shift like fashion. The once‑celebrated microservice hype is now recognized as not universally suitable. The key is to pick a solution that:
Enables smooth team workflow
Doesn’t add unnecessary overhead
Lets you focus on business functionality
Good technical choices should feel like a well‑fitted shoe—comfort matters more than being the newest model.
Rare Earth Juejin Tech Community
Juejin, a tech community that helps developers grow.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.
