Scalable automated monitoring solution for virtual infrastructure
Sarkar, Itale (2023)
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202305088228
https://urn.fi/URN:NBN:fi:amk-202305088228
Tiivistelmä
The objective of this study was to create a monitoring solution for Ericsson Oy R&D department. The solution is based on open-source tools and metrics from company data. The goal was to create a scalable automated system for general monitoring purposes in virtualized environments, bare-metal servers, and clouds.
System monitoring helps to detect errors and warnings both in hardware and software. Moreover, it improves resource utilization and ensures system performance and security are tracked. One of the goals set for this project was to encourage a proactive approach towards error mitigation within system administrators.
During the development process, several existing monitoring products were reviewed, both licensed and open source. Also, a team of experts in system administration from the case company were asked to prioritize which metrics and KPIs (Key Performance Indicator) need to be visualized and monitored. Grafana was selected as a visualization and alerting tool. It was installed in a Docker container and sends critical system error alerts via email.
The proposed system displays real-time data about resource consumption and status of components. The data center infrastructure team can now recognize patterns in the measurements taken from the systems regarding resources consumption and act proactively when metrics indicate an upcoming fault.
System monitoring helps to detect errors and warnings both in hardware and software. Moreover, it improves resource utilization and ensures system performance and security are tracked. One of the goals set for this project was to encourage a proactive approach towards error mitigation within system administrators.
During the development process, several existing monitoring products were reviewed, both licensed and open source. Also, a team of experts in system administration from the case company were asked to prioritize which metrics and KPIs (Key Performance Indicator) need to be visualized and monitored. Grafana was selected as a visualization and alerting tool. It was installed in a Docker container and sends critical system error alerts via email.
The proposed system displays real-time data about resource consumption and status of components. The data center infrastructure team can now recognize patterns in the measurements taken from the systems regarding resources consumption and act proactively when metrics indicate an upcoming fault.