Multilevel Observability in Cloud Orchestration

Picoreti, Rodolfo; Carmo, Alexandre P. do; Queiroz, Felippe M. de; Garcia, Agnaldo; Vassallo, Raquel Frizera; Simeonidou, Dimitra

doi:10.1109/dasc/picom/datacom/cyberscitec.2018.00134

Cited by 30 publications

(23 citation statements)

References 9 publications

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“…These layers are associated with data collection and retrieval, raw data storage, data processing and correlation and data visualization and alerting. Multilevel observability is introduced in [26], considering both applicationoriented and infrastructure-oriented metrics to improve automatic orchestration in cloud environments. The use of distributed tracing techniques to support observability in serverless applications and provide insights for troubleshooting purposes is examined in [27].…”

Section: Related Workmentioning

confidence: 99%

Data Fusion of Observability Signals for Assisting Orchestration of Distributed Applications

Tzanettis

Androna

Zafeiropoulos

et al. 2022

Sensors

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Nowadays, various frameworks are emerging for supporting distributed tracing techniques over microservices-based distributed applications. The objective is to improve observability and management of operational problems of distributed applications, considering bottlenecks in terms of high latencies in the interaction among the deployed microservices. However, such frameworks provide information that is disjoint from the management information that is usually collected by cloud computing orchestration platforms. There is a need to improve observability by combining such information to easily produce insights related to performance issues and to realize root cause analyses to tackle them. In this paper, we provide a modern observability approach and pilot implementation for tackling data fusion aspects in edge and cloud computing orchestration platforms. We consider the integration of signals made available by various open-source monitoring and observability frameworks, including metrics, logs and distributed tracing mechanisms. The approach is validated in an experimental orchestration environment based on the deployment and stress testing of a proof-of-concept microservices-based application. Helpful results are produced regarding the identification of the main causes of latencies in the various application parts and the better understanding of the behavior of the application under different stressing conditions.

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Section: Related Workmentioning

confidence: 99%

Data Fusion of Observability Signals for Assisting Orchestration of Distributed Applications

Tzanettis

Androna

Zafeiropoulos

et al. 2022

Sensors

View full text Add to dashboard Cite

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“…This analysis is critical since CSBAuditor employs an agent-less approach, by leveraging the cloud provider APIs. Distributed tracing [41] provides a detailed overview of requests and responses, which is useful for understanding application performance issues e.g. bottlenecks.…”

Section: Performance Evaluation -Aws Environmentmentioning

confidence: 99%

Continuous auditing and threat detection in multi-cloud infrastructure

Torkura

Sukmana

Cheng

et al. 2021

Computers & Security

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Efficient change control and configuration management is imperative for addressing the emerging security threats in cloud infrastructure. These threats majorly exploit misconfiguration vulnerabilities e.g. excessive permissions, disabled logging features and publicly accessible cloud storage buckets. Traditional security tools and mechanisms are unable to effectively and continuously track changes in cloud infrastructure owing to transience and unpredictability of cloud events. Therefore, novel tools that are proactive, agile and continuous are imperative. This paper proposes CSBAuditor, a novel cloud security system that continuously monitors cloud infrastructure, to detect malicious activities and unauthorized changes. CSBAuditor leverages two concepts: state transition analysis and reconciler pattern to overcome the aforementioned security issues. Furthermore, security metrics are used to compute severity scores for detected vulnerabilities using a novel scoring system: Cloud Security Scoring System. CSBAuditor has been evaluated using various strategies including security chaos engineering fault injection strategies on Amazon Web Services (AWS) and Google Cloud Platform (GCP). CSBAuditor effectively detects misconfigurations in real-time with a detection rate of over 98%. Also, the performance overhead is within acceptable limits.

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“…However, many researches aim to solve this problem by increasing the observability of the system. The work presented in [8] and [9] describes a multilevel observability of the cloud orchestration system such as Kubernetes. However, container orchestration systems are not yet used extensively on the edge devices as they are resource heavy.…”

Section: Security-elasticity Dependenciesmentioning

confidence: 99%

On Analysis of Security and Elasticity Dependency in IIoT Platform Services

Raj

Truong

2021

2021 IEEE International Conference on Services Computing (SCC)

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Modern IIoT (Industrial Internet of Things) systems rely on highly decomposed platform services that are distributed across the edge and cloud. Security attacks in these systems can cause indirect and unwanted impacts on the elasticity of platform services. These impacts can often manifest across subsystems and not necessarily remain localized. However, there is a lack of techniques to identify and model cross-layered, cross-system concrete dependencies between specific security attacks and their corresponding elasticity impacts. This paper presents a novel framework SEDAICO that can model the elasticity relationship among IIoT platform services due to a security attack. Secondly, the framework supports the developer to identify concrete dependency between specific security attacks and the corresponding impacts on the elasticity of the platform services. We further illustrate our work with experiments and evaluate the framework through a real-world example.

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Multilevel Observability in Cloud Orchestration

Cited by 30 publications

References 9 publications

Data Fusion of Observability Signals for Assisting Orchestration of Distributed Applications

Data Fusion of Observability Signals for Assisting Orchestration of Distributed Applications

Continuous auditing and threat detection in multi-cloud infrastructure

On Analysis of Security and Elasticity Dependency in IIoT Platform Services

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