Open-source Monitoring System Research Articles

Enhanced Visibility for Real-time Monitoring and Alerting in Kubernetes by Integrating Prometheus,Prometheus, Grafana, Loki, and Alerta

With the increasing popularity of Kubernetes as the go-to platform for containerized applications, numerous companies are adopting Kubernetes as their preferred platform for containerized applications. As organizations embrace this container orchestration technology for its scalability, flexibility, and portability benefits, the need for robust monitoring solutions becomes paramount. Monitoring Kubernetes environments is essential to ensure the health, performance, and availability of applications running within the cluster. This paper aims to provide a comprehensive approach for monitoring Kubernetes via Prometheus, Grafana, and Alerta Prometheus, a powerful open-source monitoring system, col- lects metrics from Kubernetes pods and nodes, enabling real- time monitoring of resource utilization, performance metrics, and application health. Grafana complements Prometheus by providing intuitive visualization of collected metrics through customizable dashboards, facilitating comprehensive insights into cluster performance and trends. Loki and Promtail by Grafana are used to collect and aggregate the logs associated with the cluster. Alerta enhances the monitoring setup by enabling alerting based on predefined thresholds and conditions, ensuring prompt notification of potential issues or anomalies. Together, this stack empowers administrators to gain deep visibility into their Kubernetes infrastructure, proactively identify and mitigate issues, and maintain the high availability and reliability of their applications and services. Index Terms—Kubernetes, Prometheus, Grafana, Alerta, Loki, Promtail, Monitoring, Alerting, Logging.

LAND COVER CHANGE ANALYSIS OF CARRASCAL, MADRID AND CANTILAN MINING SITES IN SURIGAO DEL SUR USING REMOTE SENSING

Abstract. The Philippines is recognized as amongst the natural resource-rich countries which has been evident in the influx of extractive industry investors, most specifically in the mining industry. An example of this is the case of mining sites in the municipalities of Carrascal, Madrid, and Cantilan (CMC) in Surigao del Sur region of the Philippines. In this region, development of mining areas was significantly noticeable in a span of seven (7) years since 2015. With this being an alarming case due to its possible negative impacts on the surrounding communities, this study developed an open-source monitoring system of mining activities using remote sensing technologies employing supervised image classification using the Random Forest algorithm. This study is mainly motivated by the need for a monitoring system to ensure responsible mining practices in the country, most especially since there has been an increasing global clamour for a more environmental-friendly and climate-sensitive and sustainable practices. The methodology developed for this study utilized a post-classification change detection approach in which multitemporal land cover (LC) models were produced to capture the land cover changes. To model the LC changes, land cover models for 2015 and 2022 were produced obtaining overall accuracies between 0.93 to 0.95, respectively. Using these models, changes due to mining development were delineated through a multitemporal overlay analysis approach. This change detection model obtained an F1-score of 0.93 indicating high accuracy and satisfactory performance of the model and consequently, the its potential as a mining site monitoring system to achieve the goal of ensuring responsible mining industry practice in the country.

Implementasi Sistem Monitoring Jaringan Menggunakan Zabbix Berbasis SNMP

Network administrators require network monitoring in managing a network. Technological developments allow network monitoring using the SNMP protocol combined with a monitoring system using Zabbix. This research is designed for viewing and using routers to display information about the web. The problem that often occurs is the lack of administrators and the network monitoring system has not been accommodated. With this research, objectives continue to be developed, so that network administrators are helped and more quickly solve problems by monitoring existing networks. This study uses Zabbix as an open-source monitoring system. This application can display information from network devices such as Traffic Data, Bandwith Usage, and Network Interface. The results of the trials that have been carried out have proven to be able to monitor networks using SNMP-based Zabbix by displaying the expected results. This is indicated by the running of the monitoring system on the Zabbix application. It is hoped that by developing a network monitoring system using Zabbix-server, it will be easier to help speed up problems that occur and become a benchmark for the system being developed.

Design and Implementation a Smart System for Monitoring the Electrical Energy based on the Internet of Things

In this article, an open source monitoring system based on Internet of Thing (IoT) is designed to monitor electrical energy consumption. This system provides real-time information about energy consumption over time. To implement this system, sensors were used to measure data, a Raspberry as an application server to display and store data, and microcontrollers to collect information. The process of data transfer via the Internet using the Message Queuing Telemetry Transport (MQTT (protocol between the microcontroller and the server. Through the experimental results obtained from the proposed system, the voltage, current, active power and power consumption were successfully recorded.

Retrofit planning and execution of a mediterranean villa using on-site measurements and simulations

In this research, a full rehabilitation study (retrofit) of an isolated villa in a Mediterranean climate was carried out in order to show how a retrofit of a building with a combination of simple passive and active strategies can improve the sustainability, energy efficiency and the thermal comfort. This is performed thanks to the design of a methodology of using a thermal simulation tool with experimental measurements based on a low-cost open source hardware platform in order to evaluate the energy saving measures and analyse the thermal comfort and energy savings. To accomplish this, a study of the housing needs is performed a priori to later design the different actions in the rehabilitation, using if possible, ecological materials in its development. Basically, walls and ceilings are insulated, three solar air collectors are included to heat the air ventilation and decrease the heating demand, and two pellet stoves are installed. Finally, the refurbished house is modeled and simulated in EnergyPlus and compared with the indoor air temperature and relative humidity measurements, made using an Open-Source Monitoring System (OSMS) developed for this research in Arduino, obtaining results with no significant differences without the need to calibrate the system. The results of thermal comfort, heating and cooling demand and heating energy consumption of the house before and after the renovation are compared providing a decrease in thermal demand of 66% and a decrease in heating energy consumption of 50% in the winter season, where 60% of the energy consumed is contributed from renewable sources. In terms of thermal comfort, the comparison of the PPD and PMV values shows an improvement in the house in heating and cooling season.

A Low-Cost, Open Source Monitoring System for Collecting High Temporal Resolution Water Use Data on Magnetically Driven Residential Water Meters.

We present a low-cost (≈$150) monitoring system for collecting high temporal resolution residential water use data without disrupting the operation of commonly available water meters. This system was designed for installation on top of analog, magnetically driven, positive displacement, residential water meters and can collect data at a variable time resolution interval. The system couples an Arduino Pro microcontroller board, a datalogging shield customized for this specific application, and a magnetometer sensor. The system was developed and calibrated at the Utah Water Research Laboratory and was deployed for testing on five single family residences in Logan and Providence, Utah, for a period of over 1 month. Battery life for the device was estimated to be over 5 weeks with continuous data collection at a 4 s time interval. Data collected using this system, under ideal installation conditions, was within 2% of the volume recorded by the register of the meter on which they were installed. Results from field deployments are presented to demonstrate the accuracy, functionality, and applicability of the system. Results indicate that the device is capable of collecting data at a temporal resolution sufficient for identifying individual water use events and analyzing water use at coarser temporal resolutions. This system is of special interest for water end use studies, future projections of residential water use, water infrastructure design, and for advancing our understanding of water use timing and behavior. The system’s hardware design and software are open source, are available for potential reuse, and can be customized for specific research needs.

Tools and strategies to monitor the ATLAS online computing farm

In the ATLAS experiment the collection, processing, selection and conveyance of event data from the detector front-end electronics to mass storage is performed by the ATLAS online farm consisting of nearly 3000 PCs with various characteristics. To assure the correct and optimal working conditions the whole online system must be constantly monitored. The monitoring system should be able to check up to 100000 health parameters and provide alerts on a selected subset.In this paper we present the assessment of a new monitoring and alerting system based on Icinga. This is an open source monitoring system derived from Nagios, granting backward compatibility with already known configurations, plugins and add-ons, while providing new features. We also report on the evaluation of different data gathering systems and visualization interfaces.

Editorial Board Thoughts: Issue Introduction to Student Essays

Editorial Board Thoughts:Issue Introduction to Student Essays