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SLATE: Monitoring Distributed Kubernetes Clusters

Authors:

Gabriele Carcassi,

Lincoln Bryant,

Robert W. Gardner,

Christopher WeaverAuthors Info & Claims

PEARC '20: Practice and Experience in Advanced Research Computing 2020: Catch the Wave

Pages 19 - 25

https://doi.org/10.1145/3311790.3401777

Published: 26 July 2020 Publication History

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Abstract

The SLATE (Services Layer at the Edge) accelerates collaborative scientific computing through a secure container orchestration framework focused on the Science DMZ, enabling creation of advanced multi-institution platforms and novel science gateways. The goal of the SLATE project is to provide a secure federation platform to simplify deployment and operation of complex and often specialized services required by multi-institution scientific collaborations, utilizing where applicable open source, cloud native tooling such as Kubernetes. This paper outlines the design and operation of a monitoring infrastructure suitable for application developers and resource providers which gives visibility to resource utilization and service deployments across a network of independently managed Kubernetes clusters.

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References

[1]

Kubernetes Authors. 2018. Kubernetes | Production-Grade Container Orchestration. https://kubernetes.io/

[2]

Prometheus Authors. 2018. Prometheus Monitoring and Alerting Toolkit. https://prometheus.io/

[3]

Joe Breen, Lincoln Bryant, Gabriele Carcassi, Jiahui Chen, Robert W. Gardner, Ryan Harden, Martin Izdimirski, Robert Killen, Ben Kulbertis, Shawn McKee, Benedikt Riedel, Jason Stidd, Luan Truong, and Ilija Vukotic. 2018. Building the SLATE Platform. In Proceedings of the Practice and Experience on Advanced Research Computing (Pittsburgh, PA, USA) (PEARC ’18). ACM, New York, NY, USA, Article 5, 7 pages. https://doi.org/10.1145/3219104.3219144

Digital Library

[4]

Brendan Burns, Brian Grant, David Oppenheimer, Eric Brewer, and John Wilkes. 2016. Borg, Omega, and Kubernetes. ACM Queue 14(2016), 70–93. http://queue.acm.org/detail.cfm?id=2898444

Digital Library

[5]

Ceph.io. 2020. Ceph Architecture. Retrieved 2020/04/25 from https://docs.ceph.com/docs/master/architecture/

[6]

Kyle Chard, Eli Dart, Ian Foster, David Shifflett, Steven Tuecke, and Jason Williams. 2018. The Modern Research Data Portal: a design pattern for networked, data-intensive science. PeerJ Computer Science 4, e144.

[7]

CoreOS/RedHat. 2020. The Prometheus Operator makes the Prometheus configuration Kubernetes native and manages and operates Prometheus and Alertmanager clusters.Retrieved 20/02/10 from https://github.com/coreos/prometheus-operator

[8]

ElasticStack 2020. Elastic Stack. https://www.elastic.co/guide/index.html

[9]

Robert Gardner, Joseph Breen, Lincoln Bryant, and S McKee. 2017. SLATE and the Mobility of Capability. Science Gateways 2017 -, - (2017). https://figshare.com/articles/SLATE_and_the_Mobility_of_Capability/5501269

[10]

Red Hat. 2020. Ansible IT Management. Retrieved 2020/04/25 from https://www.ansible.com/overview/how-ansible-works

[11]

Improbable. 2020. Thanos Open source, highly available Prometheus setup with long term storage capabilities.https://thanos.io/

[12]

KubernetesMonitoringBP01 2020. Best Practices for Monitoring and Alerting on Kubernetes. https://rancher.com/learning-paths/best-practices-for-monitoring-and-alerting-on-kubernetes/

[13]

KubernetesMonitoringBP02 2020. Monitoring Kubernetes: Best Practices and Methods. https://www.sumologic.com/kubernetes/monitoring/#metrics-monitor-kubernetes

[14]

KubernetesWebUI 2020. Kubernetes Web UI. https://kubernetes.io/docs/tasks/access-application-cluster/web-ui-dashboard/

[15]

Grafana Labs. 2020. Grafana is the open source analytics and monitoring solution for every database. Retrieved 2020/02/10 from https://grafana.com/

[16]

Puppet Labs. 2020. Open Source Puppet Configuration Management. Retrieved 2020/04/25 from https://puppet.com/open-source/osp

[17]

Shawn McKee, Ezra Kissel, Benjeman Meekhof, Martin Swany, Charles Miller, and Michael Gregorowicz. 2017. OSiRIS: a distributed Ceph deployment using software defined networking for multi-institutional research. Journal of Physics: Conference Series 898 (oct 2017), 062045. https://doi.org/10.1088/1742-6596/898/6/062045

[18]

Fábio Oliveira, Sahil Suneja, Shripad Nadgowda, Priya Nagpurkar, and Canturk Isci. 2017. Opvis: Extensible, Cross-Platform Operational Visibility and Analytics for Cloud. In Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference: Industrial Track (Las Vegas, Nevada) (Middleware ’17). Association for Computing Machinery, New York, NY, USA, 43–49. https://doi.org/10.1145/3154448.3154455

Digital Library

[19]

RancherMonitoring 2020. Integrating Rancher and Prometheus for Cluster Monitoring. https://rancher.com/docs/rancher/v2.x/en/cluster-admin/tools/monitoring/

[20]

Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, and Lanyu Xu. 2016. Edge Computing: Vision and Challenges. IEEE Internet of Things Journal 3, 5 (2016), 637–646. https://doi.org/10.1109/JIOT.2016.2579198

Cited By

Lawrence JPrakash EHewage C(2024)Securing Kubernetes: A Study on the Measures for Enhancing Control and Data Plane SecurityAI Applications in Cyber Security and Communication Networks10.1007/978-981-97-3973-8_9(127-152)Online publication date: 18-Sep-2024
https://doi.org/10.1007/978-981-97-3973-8_9
ZHOU CTAO JWANG BZHAO N(2023)iMon: Network Function Virtualisation Monitoring Based on a Unique AgentIEICE Transactions on Communications10.1587/transcom.2022EBP3103E106.B:3(230-240)Online publication date: 1-Mar-2023
https://doi.org/10.1587/transcom.2022EBP3103
Huang CPierre G(2023)AdapPF: Self-Adaptive Scrape Interval for Monitoring in Geo-Distributed Cluster Federations2023 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC58397.2023.10218080(417-423)Online publication date: 9-Jul-2023
https://doi.org/10.1109/ISCC58397.2023.10218080
Show More Cited By

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cover image ACM Conferences

PEARC '20: Practice and Experience in Advanced Research Computing 2020: Catch the Wave

July 2020

556 pages

ISBN:9781450366892

DOI:10.1145/3311790

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 26 July 2020

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Research-article
Research
Refereed limited

Funding Sources

National Science Foundation

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PEARC '20

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PEARC '20: Practice and Experience in Advanced Research Computing

July 26 - 30, 2020

OR, Portland, USA

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Overall Acceptance Rate 133 of 202 submissions, 66%

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Cited By

Lawrence JPrakash EHewage C(2024)Securing Kubernetes: A Study on the Measures for Enhancing Control and Data Plane SecurityAI Applications in Cyber Security and Communication Networks10.1007/978-981-97-3973-8_9(127-152)Online publication date: 18-Sep-2024
https://doi.org/10.1007/978-981-97-3973-8_9
ZHOU CTAO JWANG BZHAO N(2023)iMon: Network Function Virtualisation Monitoring Based on a Unique AgentIEICE Transactions on Communications10.1587/transcom.2022EBP3103E106.B:3(230-240)Online publication date: 1-Mar-2023
https://doi.org/10.1587/transcom.2022EBP3103
Huang CPierre G(2023)AdapPF: Self-Adaptive Scrape Interval for Monitoring in Geo-Distributed Cluster Federations2023 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC58397.2023.10218080(417-423)Online publication date: 9-Jul-2023
https://doi.org/10.1109/ISCC58397.2023.10218080
Afifah FDewantara NFaiz ARomansyah SNegara RMayasari RAstuti S(2023)Cost-Effective Automation: Cloud-Based Monitoring Combining HPA with VPA for Scalable Startups2023 9th International Conference on Wireless and Telematics (ICWT)10.1109/ICWT58823.2023.10335324(1-5)Online publication date: 6-Jul-2023
https://doi.org/10.1109/ICWT58823.2023.10335324
Kosińska JBaliś BKonieczny MMalawski MZieliński S(2023)Toward the Observability of Cloud-Native Applications: The Overview of the State-of-the-ArtIEEE Access10.1109/ACCESS.2023.328186011(73036-73052)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3281860
de M. Artalejo DVidal IValera FNogales B(2023)MONCHi: MONitoring for Cloud-native Hyperconnected IslandsComputer Performance Engineering and Stochastic Modelling10.1007/978-3-031-43185-2_20(294-308)Online publication date: 20-Jun-2023
https://dl.acm.org/doi/10.1007/978-3-031-43185-2_20
Hasan BAbdullah D(2022)Real-Time Resource Monitoring Framework in a Heterogeneous Kubernetes Cluster2022 Muthanna International Conference on Engineering Science and Technology (MICEST)10.1109/MICEST54286.2022.9790264(184-189)Online publication date: 16-Mar-2022
https://doi.org/10.1109/MICEST54286.2022.9790264

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