EPJ Web Conf.
Volume 251, 202125th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|Number of page(s)||10|
|Section||Distributed Computing, Data Management and Facilities|
|Published online||23 August 2021|
A hybrid system for monitoring and automated recovery at the Glasgow Tier-2 cluster
School of Physics and Astronomy, University of Glasgow Kelvin Building, University Avenue, G12 8QQ, United Kingdom
* e-mail: firstname.lastname@example.org
Published online: 23 August 2021
We have deployed a central monitoring and logging system based on Prometheus, Loki and Grafana that collects, aggregates and displays metrics and logs from the Tier-2 ScotGrid cluster at Glasgow. Bespoke dashboards built on Prometheus metrics give a quick overview of cluster performance and make it easy to identify issues. Logs from all nodes and services are collected to a central Loki server and retained over time. This integrated system provides a full overview of the cluster’s health and has become an essential tool for daily maintenance and in the investigation of any issue.
The system includes an automated alerting application that parses metrics and logs and can send notifications when specified conditions are met, and as a further step toward automation, can also perform simple recovery actions based on well known issues and their encoded solutions. The general purpose is to create a more resilient Tier-2 cluster where human intervention is kept to a minimum. Given the funding constraints experienced by many academic research institutions, this promises to free staff from routine tasks, allowing them to address their expertise to more interesting problems.
In this paper, we describe the tools and set-up of the existing monitoring system, the automated recovery methods implemented so far, and the plan for further automation.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.