μ Viz: Visualization of Microservices

Silva, Sara; Correia, Jaime; Bento, André; Araújo, Filipe; Barbosa, Raul

doi:10.1109/iv53921.2021.00028

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…This section presents the findings of the study by answering the research questions in separate subsections. [11] 2022 Microservices-based systems visualization: student research abstract [4] 2021 A method for monitoring the coupling evolution of microservice-based architectures [12] 2021 Automated Analysis of Distributed Tracing: Challenges and Research Directions [13] 2020 Graph-based root cause analysis for service-oriented and microservice architectures [14] 2021 Offline Trace Generation for Microservice Observability [15] 2017 MicroART: A Software Architecture Recovery Tool for Maintaining Microservice-Based Systems [16] 2017 Towards Recovering the Software Architecture of Microservice-Based Systems [17] 2020 Graph-based trace analysis for microservice architecture understanding and problem diagnosis [18] 2020 Architectural runtime models for integrating runtime observations and component-based models [19] 2016 Architectural Run-time Models for Performance and Privacy Analysis in Dynamic Cloud Applications [20] 2022 Code Smell Prioritization with Business Process Mining and Static Code Analysis: A Case Study [21] 2021 Enjoy your observability: an industrial survey of microservice tracing and analysis [22] 2021 Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis [23] 2019 Graph-based and scenario-driven microservice analysis, retrieval, and testing [24] 2018 Using Service Dependency Graph to Analyze and Test Microservices [25] 2018 Execution-Based Model Profiling [26] 2017 Supporting Microservice Evolution [27] 2010 Dapper, a large-scale distributed systems tracing infrastructure [28] 2021 µViz: Visualization of Microservices [29] 2021 Temporal Relations Extraction and Analysis of Log Events for Micro-service Framework…”

Section: Resultsmentioning

confidence: 99%

“…FIGURE 4: Jaeger generated trace/spans Since Kiali is made to work on top of Istio and relies on information from Istio to construct a visualization, it cannot easily be extended to support other microservicebased systems. Additionally, while Kiali provides different levels of abstraction to view the system, all of the levels are fundamentally still dependency-graph views [28]. This means Kiali lacks visualization of more complex causallyrelated data that can be provided by tracing.…”

Section: ) Kialimentioning

confidence: 99%

“…Silva et al [28] found that many available tools to reconstruct and visualize software architecture focus on providing a service dependency graph but do not take advantage of more complex data. Oftentimes, different perspectives are needed to get insight into the system beyond dependency graphs.…”

Section: Gaps and Challengesmentioning

confidence: 99%

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Visualizing Microservice Architecture in the Dynamic Perspective: A Systematic Mapping Study

et al. 2022

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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 architecture holistically. Without a full view of the system, the architecture can become convoluted as teams add and subtract from their system without reconciling their changes. One established practice to determine a view on the entire system involves dynamic analysis of microservice interaction and dependencies. In this mapping study, we investigate dynamic analysis as a way to visualize system architecture. Capturing the architectural view with dynamic analysis has the ability to build the system and then show its behavior at run-time. We identify dynamic analysis techniques, the corresponding tools, and the models that these practices can generate. The findings of this study are relevant to developers of decentralized systems looking for a way to visualize their system architecture in a dynamic perspective.

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