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# Why you shouldn’t build a microservice architecture 

Splitting an unaligned engineering team across isolated codebases merely shifts their conflicts to the API layer. Discover why a traditional monolith is almost always the faster, cheaper route.

- **Speakers:** Michael Eisenbart
- **Event:** WeAreDevelopers LIVE
- **Published:** October 6, 2021
- **Duration:** 27:32
- **URL:** https://www.wearedevelopers.com/videos/261-why-you-shouldn-t-build-a-microservice-architecture

## Summary

Software architecture serves one primary business purpose: saving time and money to reach the market faster. Despite the immense popularity of microservices, treating them as a default choice often introduces severe complexity into development workflows. Using the analogy of cutting down a tree, while a straightforward chainsaw suffices for a backyard sapling, bringing in industrial logging equipment is only justified for massive operations. Similarly, the deep complexity, deployment hurdles, and maintenance overhead of a microservice architecture are only warranted if its distinct benefits—such as granular component scaling and multi-team collaboration—are undeniably required by the scale of the product.

Technical leaders must critically evaluate their actual operational needs before committing to heavy architectural patterns. If an application primarily serves specialized internal corporate users rather than scaling to millions globally, or if it can be reliably sustained by a single "two-pizza" development team, a traditional monolith is almost always the faster and cheaper route. Furthermore, engineering management must heavily guard against attempting to solve organizational problems with architectural solutions. Splitting a fractured, unaligned team across multiple isolated codebases does not selectively resolve their underlying communication issues; it simply shifts their ongoing conflicts directly to the API integration layer.

For products where distributed systems are genuinely necessary, such as complex enterprise data pipelines, engineering teams should adopt a manageable "small service" mindset rather than hyper-fragmenting their codebases. Maintaining a limit of three to four stable services per team with strict, backwards-compatible API specifications ensures clean system boundaries. Resiliency in these distributed environments heavily relies on consolidated logging and unified deployment targets to mitigate inevitable debugging nightmares. Ultimately, boundary isolation does not excuse poor code quality, and the most effective architectures emerge not from months of sterile upfront planning, but by deploying to production rapidly and continuously adapting to real-world system feedback.

**Keywords:** software architecture design, microservice architecture constraints, monolithic deployment strategies, distributed systems complexity, component scaling requirements, API specification management, organizational engineering challenges, kubernetes deployment targets, consolidated application monitoring, two-pizza development teams, technical debt mitigation, serverless computing patterns, enterprise data pipelines, agile software delivery

## Chapters

1. **Introduction to the Bosch accelerator and data infrastructure** (00:02) — An overview of the global data infrastructure and DevOps products supporting manufacturing solutions.
1. **The primary purpose of software architecture decisions** (04:15) — How good architectural practices fundamentally serve to save time and accelerate market delivery.
1. **Choosing the right tool for architectural problems** (06:06) — Using a tree-cutting analogy to illustrate why over-engineering simple problems introduces unnecessary project complexity.
1. **Understanding the trade-offs of microservice architectures** (08:57) — The core advantages of scalability and team isolation contrasted against the guaranteed disadvantages of operational overhead.
1. **Evaluating microservice benefits for your specific constraints** (11:44) — Why teams must critically assess if they actually need component-level scale or multi-team isolation before adopting microservices.
1. **Best practices for implementing microservice architectures successfully** (15:31) — Practical guidelines for service sizing, backward-compatible APIs, consolidated monitoring, and enforcing clean code boundaries.
1. **Validating architectural choices quickly via production deployments** (20:15) — Why perfect architectural planning is impossible and rapid deployment is necessary to gather real-world engineering feedback.
1. **Exploring hybrid models, monoliths, and serverless computing** (22:26) — A discussion on mixing monoliths with microservices, identifying practical use cases, and the cost dynamics of serverless concepts.

## Related Moments

- [Balancing architectural complexity with practical business value](https://www.wearedevelopers.com/videos/1052-autonomous-microservices-with-event-driven-architecture) (from "Autonomous microservices with event-driven architecture")
- [Evaluating the hidden costs and false promises of microservices](https://www.wearedevelopers.com/videos/1817-how-to-avoid-tech-hype-traps-josip-stuhli) (from "How to Avoid Tech Hype Traps - Josip Stuhli")
- [Evaluating data storage limitations and monolithic architectural challenges](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) (from "Swapping Low Latency Data Storage Under High Load")
- [Transitioning from a monolith to a microservice architecture](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) (from "Microservices: how to get started with Spring Boot and Kubernetes")
- [Evaluating microservices against traditional monolithic application design](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) (from "Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies")
- [Determining when to utilize monolithic application architectures](https://www.wearedevelopers.com/videos/1078-strategies-to-accelerate-saas-application-development) (from "Strategies to accelerate SaaS Application Development")

## Related Articles

- [Why You Shouldn’t Build a Microservice Architecture](https://www.wearedevelopers.com/magazine/118-why-you-shouldn-t-build-a-microservice-architecture)
- [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it)
- [How to Avoid Over-Engineering](https://www.wearedevelopers.com/magazine/546-how-to-avoid-over-engineering)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)

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