Graph-based root cause analysis for service-oriented and microservice architectures
Abstract Service-oriented architectures and microservices define two ways of designing
software with the aim of dividing an application into loosely-coupled services that …
software with the aim of dividing an application into loosely-coupled services that …
Sieve: Actionable insights from monitored metrics in distributed systems
Major cloud computing operators provide powerful monitoring tools to understand the
current (and prior) state of the distributed systems deployed in their infrastructure. While …
current (and prior) state of the distributed systems deployed in their infrastructure. While …
Microservices monitoring with event logs and black box execution tracing
M Cinque, R Della Corte… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Monitoring is a core practice in any software system. Trends in microservices systems
exacerbate the role of monitoring and pose novel challenges to data sources being used for …
exacerbate the role of monitoring and pose novel challenges to data sources being used for …
Advancing monitoring in microservices systems
M Cinque, R Della Corte… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Monitoring is a core reliability engineering practice to gain insights into production systems.
New trends in microservices exacerbate the role of monitoring. This paper discusses key …
New trends in microservices exacerbate the role of monitoring. This paper discusses key …
Computer identification and quantification of fissured tongue diagnosis
HK Zhang, YY Hu, LJ Wang… - … on bioinformatics and …, 2018 - ieeexplore.ieee.org
This paper presents a new computer identification method for the diagnosis of the fissured
tongue, which can not only detect the existence of fissures, but also quantify the severity …
tongue, which can not only detect the existence of fissures, but also quantify the severity …
Autotune: Improving end-to-end performance and resource efficiency for microservice applications
Most large web-scale applications are now built by composing collections (from a few up to
100s or 1000s) of microservices. Operators need to decide how many resources are …
100s or 1000s) of microservices. Operators need to decide how many resources are …
BALANCE: Bayesian Linear Attribution for Root Cause Localization
Root Cause Analysis (RCA) plays an indispensable role in distributed data system
maintenance and operations, as it bridges the gap between fault detection and system …
maintenance and operations, as it bridges the gap between fault detection and system …
An exploratory study on zeroconf monitoring of microservices systems
This paper presents an explorative study on microservices monitoring. The study paves the
way for MetroFunnel, our novel application-transparent and zeroconf monitoring tool, which …
way for MetroFunnel, our novel application-transparent and zeroconf monitoring tool, which …
CCA: An ML Pipeline for Cloud Anomaly Troubleshooting
L Georgieva, I Giurgiu, S Monney, H Pozidis… - Proceedings of the …, 2022 - ojs.aaai.org
Abstract Cloud Causality Analyzer (CCA) is an ML-based analytical pipeline to automate the
tedious process of Root Cause Analysis (RCA) of Cloud IT events. The 3-stage pipeline is …
tedious process of Root Cause Analysis (RCA) of Cloud IT events. The 3-stage pipeline is …
[PDF][PDF] Root cause analysis for large-scale cloud-native applications
B Zurkowski - 2022 - doktoraty.iet.agh.edu.pl
This chapter introduces the research problem considered in this dissertation. Followed by
presenting the problem motivation, the dissertation thesis is formulated. Then, the research …
presenting the problem motivation, the dissertation thesis is formulated. Then, the research …