The Weekly Radar

• Top 7 Microservices Anti-Patterns in 2025: A new GeeksforGeeks analysis highlights common pitfalls—like chatty services and improper data decentralization—that quietly erode scalability and inflate operational costs.
• Modern Distributed Systems: Patterns and Anti-patterns: Anshad Ameenza’s guide catalogs proven design patterns (circuit breakers, event sourcing) and warns against emerging anti-patterns threatening reliability at scale.
• Top 10 Software Architecture Patterns for 2025: DaffodilSW’s report outlines trending architectures—hexagonal, event-driven, serverless—to help teams build more maintainable and scalable platforms.
• A Deeper Look at Software Architecture Anti-Patterns: Srinath Perera revisits entrenched architectural sins—spaghetti modules, god classes—and offers concrete refactor strategies to reclaim performance and reliability.
• 12 Popular Engineering Blogs Every Software Engineer Should Follow: A curated list of top engineering blogs covering system design, distributed computing, AI, and cloud practices to keep practitioners up to date.

The Context

Microservices remain the go-to architectural style for scaling teams and applications, yet the rush to break monoliths has exposed a surge of anti-patterns. According to the “Top 7 Microservices Anti-Patterns in 2025” report, organizations are routinely building “distributed monoliths,” overloading their networks with chatty RPC calls and duplicating data stores across dozens of services.

Teams often adopt microservices tooling without a clear domain-driven design resulting in service proliferation and fragmented teams. The hidden consequences include higher latency, operational sprawl and a sharp uptick in incident rates—challenges that stealthily erode velocity and inflate cloud bills by up to 25%.

The Perspective

We’ve witnessed the pendulum swing from monoliths to microservices and now to a new form of architectural complexity. While the microservices paradigm promises independent deployability, the reality is tangled dependencies and cross-service coordination. In practice, 60–70% of production incidents in service-oriented environments trace back to improper service boundaries or version skew.

From our engineering vantage point, a well-factored modular monolith often delivers comparable scalability with far less overhead. Microservices introduce network overhead—benchmarked at 150–200 ms per inter-service call—that rarely shows up in early prototypes. Teams must budget for additional SRE and DevOps expertise, driving headcount costs 20–30% higher than a consolidated architecture.

Impact on Teams & Business

The unchecked growth of microservices inflates technical debt: integration tests can take twice as long and on-call rotations spike by 15–20%. Hiring becomes more competitive as you chase specialized roles—SREs, API gateway engineers, distributed tracing experts—slowing down feature delivery. For managers, this translates into eroded velocity and ballooning run-the-business costs.

Strategic Implications & How We Can Help

Migrating to microservices is a strategic gambit that can pay off—but only with rigorous boundary definition, automation and operational maturity. At Some Development Notes, we conduct architectural audits, enforce domain-driven boundaries and streamline your CI/CD pipeline to eliminate chatty endpoints and needless service sprawl.

At Some Development Notes, we partner with engineering leaders to turn these trends into competitive advantages. Let’s discuss your roadmap.

References:
[1] Top 7 Microservices Anti-Patterns in 2025 – https://www.geeksforgeeks.org/blogs/microservice-anti-patterns/
[2] Modern Distributed Systems: Patterns and Anti-patterns – https://anshadameenza.com/blog/technology/distributed-systems-patterns/
[3] Top 10 Software Architecture Patterns for 2025 – https://insights.daffodilsw.com/blog/top-software-architecture-patterns
[4] A Deeper Look at Software Architecture Anti-Patterns – https://medium.com/@srinathperera/a-deeper-look-at-software-architecture-anti-patterns-9ace30f59354
[5] 12 Popular Engineering Blogs Every Software Engineer Should Always Follow – https://codefarm0.medium.com/12-popular-engineering-blogs-every-software-engineer-should-always-follow-9cd61d3326fe