On the Study of Microservices Antipatterns
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Microservice architecture has become popular in the last few years as it allows the development of independent, highly reusable, and fine grained services. However, a lack of understanding of its core concepts and the absence of a ground-truth lead to design and implementation decisions, which might be applied often and introduce poorly designed solutions, called antipatterns. The definition of microservice antipatterns is essential for improving the design, maintenance, and evolution of microservice-based systems. Moreover, the few existing specifications and definitions of microservice antipatterns are scattered in the literature. Consequently, we conducted a systematic literature review of 27 papers related to microservices and analyzed 67 open-source microservice-based systems. Based on our analysis, we report in this paper 16 microservice antipatterns. We concisely describe these antipatterns, how they are implemented, and suggest refactoring solutions to remove them.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it