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master's thesis
Sustav za alarmiranje i vizualizaciju kvantitativnih podataka temeljen na alatu Grafana
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:435684
Ricov, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Ricov, F. (2023). Sustav za alarmiranje i vizualizaciju kvantitativnih podataka temeljen na alatu Grafana (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:435684

Ricov, Filip. "Sustav za alarmiranje i vizualizaciju kvantitativnih podataka temeljen na alatu Grafana." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:435684

Ricov, Filip. "Sustav za alarmiranje i vizualizaciju kvantitativnih podataka temeljen na alatu Grafana." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:435684

Ricov, F. (2023). 'Sustav za alarmiranje i vizualizaciju kvantitativnih podataka temeljen na alatu Grafana', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:435684

Ricov F. Sustav za alarmiranje i vizualizaciju kvantitativnih podataka temeljen na alatu Grafana [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 June 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:435684

F. Ricov, "Sustav za alarmiranje i vizualizaciju kvantitativnih podataka temeljen na alatu Grafana", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:435684

Metadata
TitleSustav za alarmiranje i vizualizaciju kvantitativnih podataka temeljen na alatu Grafana
Title (english)A system for alarming and visualization of quantitative data based on the Grafana tool
AuthorFilip Ricov
MentorKrešimir Pripužić (mentor)
Committee memberKrešimir Pripužić (predsjednik povjerenstva)
Committee memberMiljenko Mikuc (član povjerenstva)
Committee memberMarin Vuković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-09-20, Croatia
Abstract
Ovaj rad se bavi razvojem modernog aplikativnog sustava temeljenog na mikoruslužnoj arhitekturi za obradu seizmičkih podataka s naglaskom na skalabilnosti, modularnosti i nezavisnosti komponenata. Posebna pozornost je obraćena na optimizacije za pohranu i obradu vremenskih serija podataka. Sustav koristi USGS earthquake hazards program za preuzimanje podataka o potresima u CSV formatu. Za implementaciju mikrousluga koriste se Java i Spring Boot, dok se za pohranu podataka koristi baza podataka PostgreSQL sa ekstenzijom TimescaleDB. Komunikacija između mikrousluga odvija se kroz Apache Kafku, posrednik za razmjenu poruka, što omogućuje asinkronu komunikaciju i smanjuje međuovisnost mikrousluga. Prikaz podataka realiziran je kroz Grafanu koja omogućava visokokvalitetnu vizualizaciju i agregaciju podataka. U radu su detaljno opisani tehnički aspekti implementacije, uključujući konfiguraciju Apache Kafke, okvira Spring Boot, baze podataka PostgreSQL/TimescaleDB, Grafane uz primjere vizualizacija te Dockerovih spremnika za pokretanje mikrousluga.
Abstract (english)
This thesis deals with the development of a modern application system based on a microservice architecture for processing seismic data, with an emphasis on scalability, modularity, and independence of components. Special attention is paid to optimizations for storing and processing time-series data. The system uses the USGS earthquake hazards program to download earthquake data in CSV format. Java and Spring Boot are used for microservice implementation, while PostgreSQL database with TimescaleDB extension is used for data storage. Communication between microservices is facilitated through Apache Kafka, a message broker, which allows asynchronous communication and reduces interdependence of microservices. Data visualization is realized through Grafana, which enables high-quality visualization and aggregation of data. The thesis provides a detailed description of the technical aspects of the implementation, including the configuration of Apache Kafka, Spring Boot, PostgreSQL/TimescaleDB database, Grafana with examples of visualizations, and Docker containers in which microservices are being run.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:435684
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-10-11 10:21:04