A Generic Log Analyzer for automated troubleshooting in container orchestration system

Kandan, Rajendar; Khalid, Mohammad Fairus; Ismail, Bukhary Ikhwan; Mydin, Mohd Nizam Mohd; Ahmad, Hishamadie; Hoe, Ong Hong

doi:10.1109/icimu49871.2020.9243558

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…In terms of usability, the framework currently offers only bare basic troubleshooting features, collecting execution and error logs in the formats produced natively by the software executed by the user. There are plenty of inspirational methodologies in existence that can be easily adopted (Kandan et al., 2020) to find and understand errors. Additionally, by only collecting software logs but not observing the state of the ecosystem in conjunction, faults caused by the operating system may be presently very hard to identify.…”

Section: Discussionmentioning

confidence: 99%

“…There are plenty of inspirational methodologies in existence that can be easily adopted (Kandan et al, 2020) to find and understand errors. Additionally, by only collecting software logs but not observing the state of the ecosystem in conjunction, faults caused by the operating system may be presently very hard to identify.…”

Section: Experience Using the Frameworkmentioning

confidence: 99%

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Making Ecosystem Modeling Operational–A Novel Distributed Execution Framework to Systematically Explore Ecological Responses to Divergent Climate Trajectories

Steenbeek,

Ortega,

Bernardello

et al. 2024

Earth's Future

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Marine Ecosystem Models (MEMs) are increasingly driven by Earth System Models (ESMs) to better understand marine ecosystem dynamics, and to analyze the effects of alternative management efforts for marine ecosystems under potential scenarios of climate change. However, policy and commercial activities typically occur on seasonal‐to‐decadal time scales, a time span widely used in the global climate modeling community but where the skill level assessments of MEMs are in their infancy. This is mostly due to technical hurdles that prevent the global MEM community from performing large ensemble simulations with which to undergo systematic skill assessments. Here, we developed a novel distributed execution framework constructed of low‐tech and freely available technologies to enable the systematic execution and analysis of linked ESM/MEM prediction ensembles. We apply this framework on the seasonal‐to‐decadal time scale, and assess how retrospective forecast uncertainty in an ensemble of initialized decadal ESM predictions affects a mechanistic and spatiotemporal explicit global trophodynamic MEM. Our results indicate that ESM internal variability has a relatively low impact on the MEM variability in comparison to the broad assumptions related to reconstructed fisheries. We also observe that the results are also sensitive to the ESM specificities. Our case study warrants further systematic explorations to disentangle the impacts of climate change, fisheries scenarios, MEM internal ecological hypotheses, and ESM variability. Most importantly, our case study demonstrates that a simple and free distributed execution framework has the potential to empower any modeling group with the fundamental capabilities to operationalize marine ecosystem modeling.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Experience Using the Frameworkmentioning

confidence: 99%

Making Ecosystem Modeling Operational–A Novel Distributed Execution Framework to Systematically Explore Ecological Responses to Divergent Climate Trajectories

Steenbeek,

Ortega,

Bernardello

et al. 2024

Earth's Future

View full text Add to dashboard Cite

show abstract

“…In terms of usability, the framework currently offers only bare basic troubleshooting features, collecting execution and error logs in the formats produced natively by the software executed by the user. There are plenty of inspirational methodologies in existence that can be easily adopted (Kandan et al, 2020) to find and understand errors. Additionally, by only collecting software logs but not observing the state of the ecosystem in conjunction, faults caused by the operating system may be presently very hard to identify.…”

Section: Experience Using the Frameworkmentioning

confidence: 99%

Making ecosystem modelling operational - a novel distributed execution framework to systematically explore ecological responses to divergent climate trajectories

Steenbeek,

Ortega,

Bernardello

et al. 2023

Preprint

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Marine Ecosystem Models (MEMs) are increasingly forced with Earth System Models (ESMs) to better understand marine ecosystem dynamics, and to analyse the effects of alternative management efforts for marine ecosystems under potential scenarios of global change. However, policy and commercial activities typically occur on seasonal-to-decadal time scales, a time span widely used in the global climate modelling community but where the skill level assessments of MEMs are in their infancy. This is mostly due to technical hurdles that prevent the global MEM community from performing large ensemble simulations with which to undergo systematic skill assessments. Here, we developed a novel distributed execution framework constructed of low-tech and freely available technologies to enable the systematic execution and analysis of linked ESM / MEM prediction ensembles. We apply this framework on the seasonal-to-decadal time scale, and assess how retrospective forecast uncertainty in an ensemble of initialised decadal Earth System Model predictions affects a mechanistic and spatiotemporal explicit global MEM. Our results indicate that ESM internal variability has a relatively low impact on the MEM predictability in comparison to the broad assumptions related to reconstructed fisheries. We also observe that the results are also sensitive to the ESM specificities. Our case study warrants further systematic explorations to disentangle the impacts of climate change, fisheries scenarios, MEM internal ecological hypotheses, and ESM variability. Most importantly, our case study demonstrates that a simple and free distributed execution framework has the potential to empower any modelling group with the fundamental capabilities to operationalize marine ecosystem modelling.

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Comprehensive Monitoring and Observability with Jenkins and Grafana: A Review of Integration Strategies, Best Practices, and Emerging Trends

Siddiqui,

Pandey,

Jain

et al. 2023

2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

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A Generic Log Analyzer for automated troubleshooting in container orchestration system

Cited by 3 publications

References 8 publications

Making Ecosystem Modeling Operational–A Novel Distributed Execution Framework to Systematically Explore Ecological Responses to Divergent Climate Trajectories

Making Ecosystem Modeling Operational–A Novel Distributed Execution Framework to Systematically Explore Ecological Responses to Divergent Climate Trajectories

Making ecosystem modelling operational - a novel distributed execution framework to systematically explore ecological responses to divergent climate trajectories

Comprehensive Monitoring and Observability with Jenkins and Grafana: A Review of Integration Strategies, Best Practices, and Emerging Trends

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