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Toward the observability of cloud-native applications: The overview of the state-of-the-art
The Cloud-native model, established to enhance the Twelve-Factor patterns, is an approach
to develo** and deploying applications according to DevOps concepts, Continuous …
to develo** and deploying applications according to DevOps concepts, Continuous …
Visualizing microservice architecture in the dynamic perspective: A systematic map** study
As microservices become more popular, more drawbacks become apparent to developers.
One issue that many teams face today is the failure to visualize the entire system …
One issue that many teams face today is the failure to visualize the entire system …
Robust failure diagnosis of microservice system through multimodal data
Automatic failure diagnosis is crucial for large microservice systems. Currently, most failure
diagnosis methods rely solely on single-modal data (ie, using either metrics, logs, or traces) …
diagnosis methods rely solely on single-modal data (ie, using either metrics, logs, or traces) …
From static code analysis to visual models of microservice architecture
Microservice architecture is the mainstream driver for cloud-native systems. It brings various
benefits to the development process, such as enabling decentralized development and …
benefits to the development process, such as enabling decentralized development and …
Designing microservice systems using patterns: an empirical study on quality trade-offs
The promise of increased agility, autonomy, scalability, and reusability has made the
microservices architecture a de facto standard for the development of large-scale and cloud …
microservices architecture a de facto standard for the development of large-scale and cloud …
Failure diagnosis in microservice systems: A comprehensive survey and analysis
S Zhang, S ** with the rapid growing complexity in contemporary software
architecture, tracing has become an increasingly critical practice and been adopted widely …
architecture, tracing has become an increasingly critical practice and been adopted widely …
TraceGra: A trace-based anomaly detection for microservice using graph deep learning
J Chen, F Liu, J Jiang, G Zhong, D Xu, Z Tan… - Computer …, 2023 - Elsevier
Trace is widely used to detect anomalies in distributed microservice systems because of the
capability of precisely reconstructing user request paths. However, most existing trace …
capability of precisely reconstructing user request paths. However, most existing trace …
TraceCRL: contrastive representation learning for microservice trace analysis
Due to the large amount and high complexity of trace data, microservice trace analysis tasks
such as anomaly detection, fault diagnosis, and tail-based sampling widely adopt machine …
such as anomaly detection, fault diagnosis, and tail-based sampling widely adopt machine …
Putracead: Trace anomaly detection with partial labels based on gnn and pu learning
Distributed tracing has been an important part of microservice infrastructure and learning-
based trace analysis has been used to detect anomalies in microservice systems. Existing …
based trace analysis has been used to detect anomalies in microservice systems. Existing …