The diploma thesis analyzes internet discussions and Facebook sites that relate to banks and banking products. This analysis has been prepared for the potential value for marketing purposes, but also for other users outside the field of marketing. The main objective is to propose a regularly administered overview containing metrics and characteristics, which would provide information about the current status of the topics that were discussed at the monitored data sources. At first are described the methods of marketing research regarding to the possibility of obtaining data based from Internet discussions. Next are described the intermediate objectives. The base is description of downloading data from the mentioned sources. There have been identified two web pages and Facebook profiles of five banks, which are the data sources. Another objective is to create Java programs for downloading data and storing them in Elasticsearch. This data is enriched by sentiment analysis of users' comments. The main objective is based on defined metrics and characteristics that will be displayed. Subsequently, the data are analyzed using the proposed visualization in the application Kibana. The resulting data are interpreted, and there is designed a form of their distribution, which is the main objective of this work. The contribution of this work is the description of the processing of data that can be obtained from the website and public Facebook profiles with emphasis on their content, and their further enrichment and finally data visualization designed for wide range of audience.

I dagsläget finns det en mängd utmaningar och svårigheter inom den traditio- nella designprocessen för användarupplevelse (UX, User Experience). Dessa utmaningar har en påverkan på hur tidskrävande och kostsam en designpro- cess för UX kan vara. Några av dem är att få prototyper att likna slutpro- dukten och kommunikationssvårigheter mellan UX-designers och utvecklare vid Agil projektmetodik. Några svårigheter som finns vid visualisering av strömmande data är att göra den lättförståelig för användaren och möjliggöra användaren att nå önskad information. För att undersöka dessa svårigheter togs en designprocess för UX, att använ- das med datavisualiseringsverktyget Kibana, fram. För att kunna utvärdera och bedöma designprocessen för UX, skapades en interaktiv dashboard som presenterade Transportstyrelsens data från betalstationer. Framtagningen av designprocessen för UX resulterade i en optimering av prototypskapandet och testningen. Detta eftersom designprocessen för UX möjliggjorde utveckling av produkten, istället för prototypen, vilket förbättrade testningen med slutan- vändaren och därmed även slutprodukten. Det fanns dock nackdelar då Kiba- na användes vilka var begränsningar i modifieringen av användargränssnittet och att systemet behövde vara klart innan designprocessen för UX kunde på- börjas. / In the current situation there are a lot of challenges and difficulties in the traditional design process for UX, User Experience. These challenges have an impact on how time consuming and costly a design process for UX can be. Some of them are to create prototypes that resemble the end product and communication difficulties between UX-designers and developers that follow an Agile project methodology. There are also difficulties in visualizing streaming data, as information in data must be made easy to understand for the user and the users must be able to get desired information. To investigate these difficulties, a design process for UX was created to be used with the Kibana data visualization tool. In order to evaluate and assess the design process for UX, an interactive dashboard was created that pre- sented data from Swedish payment stations. The development of the design process for UX resulted in an optimization of the prototype-creation and test- ing. The design process for UX enabled development of the product, instead of the prototype, which improved the testing with the end user and therefor also the end product. However, there were disadvantages when Kibana was used which were limitations in modifying the user interface and that the sys- tem needed to be ready before the UX design process could begin.

System Administrators use many of the same tactics that are implemented by hackers to validate the security of their systems, such as port scanning and vulnerability scanning. Port scanning is slow, and can be highly inaccurate. After a scan is complete, the results of the scan must be cross checked with a vulnerability database to discover if any vulnerabilities are present. While these techniques are useful, they have severe limitations. System Administrators have full access to all of their machines. They should not have to rely exclusively on port scanning them from the outside of their machines to check for vulnerabilities when they have this level of access. This thesis introduces a novel concept for replacing port scanning with a Log File Inventory Management System. This system will be able to automatically build an accurate system inventory using existing log files. This system inventory will then be automatically cross checked with a database of known vulnerabilities in real-time resulting in faster and more accurate vulnerability reporting than is found in traditional port scanning methods.

The purpose of this thesis is to investigate and implement a framework for log management and analysis tailored to the treatment planning system (TPS) RayStation. A TPS is a highly advanced software package used in radiation oncology clinics, and the complexity of the software makes writing robust code challenging. Although the product is tested rigorously during development, bugs are present in released software. The purpose of the the framework is to allow the RayStation development team insight into errors encountered in clinics by centralizing log file data recorded at clinics around the world. A framework based on the Elastic stack, a suite of open-source products, is proposed, addressing a set of known issues described as the access problem, the processing problem, and the analysis problem. Firstly, log files are stored locally on each machine running RayStation, some of which may not be connected to the Internet. Gaining access to the data is further complicated by legal frameworks such as HIPAA and GDPR that put constraints on how clinic data can be handled. The framework allows for access to the files while respecting these constraints. Secondly, log files are written in several different formats. The framework is flexible enough to process files of multiple different formats and consistently extracts relevant information. Thirdly, the framework offers comprehensive tools for analyzing the collected data. Deployed in-house on a set of 38 machines used by the RayStation development team, the framework was demonstrated to offer solutions to each of the listed problems.

Idag genererar företag stora mängder av loggfiler vilket gör det svårt att hitta och undersöka felmeddelanden i alla loggfiler. En loggsamlare med Logstash, Elasticsearch och Kibana som bas har implementerats hos Ericsson Linköping. Loggsamlarens syfte är att samla loggar från testenheter och möjliggöra sökning och visualisering av dem. En utvärdering av Elasticsearch har genomförts för att se i vilken grad söktiden för sökfrågor ökar med ökad datamängd. Utvärderingen gav en indikation om att söktiden i värsta fallet är linjär.

Presentación que aborda el desarrollo de los repositorios peruanos, se expone el caso de la Universidad Peruana de Ciencias Aplicadas, se expone herramientas para medir su impacto.

There is a growing need for more efficient tools and services for log analysis. A need that comes from the ever-growing use of digital services and applications, each one generating thousands of lines of log event message for the sake of auditing and troubleshooting. This thesis was initiated on behalf of one of the departments of the IT consulting company TietoEvry in Karlstad. The purpose of this thesis project was to investigate whether the log analysis service Elastic Stack would be a suitable solution for TietoEvry’s need for a more efficient method of log event analysis. As part of this investigation, a small-scale deployment of Elastic Stack was created, used as proof of concept. The investigation showed that Elastic Stack would be a suitable tool for the monitoring and analysis needs of TietoEvry. The final version of deployment was, however, not able to fulfill all of the requirements that were initially set out by TietoEvry, however, this was mainly due to a lack of time and rather than limitations of Elastic Stack.

Managing and analyzing large volumes of logs can be challenging, and a log management solution can effectively address this issue. However, selecting the right log management solution can be a daunting task, considering various factors such as desired features and the solution's efficiency in terms of storage and resource usage. This thesis addressed the problem of choosing between two log management solutions: ELK and PLG. We compared their tailing agents, log storage and visualization capabilities to provide an analysis of their pros and cons. To compare the two log management solutions we conducted two types of evaluations: performance and functional evaluation. Together these two evaluations provide a comprehensive picture of each tool's capabilities. The study found that PLG is more resource-efficient in terms of CPU and memory compared to ELK, and requires less disk space to store logs. ELK, however, performs better in terms of query request time. ELK has a more user-friendly interface and requires minimal configuration, while PLG requires more configuration but provides more control for experienced users. With this study, we hope to provide organizations and individuals with a summary of the pros and cons of ELK and PLG that can help when choosing a log management solution.

The master thesis focuses on the design and implementation of data collection from production using a PLC into an SQL database located in the cloud and subsequent visualization. The work describes the applicable communication protocols MQTT and OPC UA with the fact that the protocol MQTT was selected. It deals with securing data transfer from the line to the cloud using the TLS protocol. The individual cloud services and their possibilities for data collection are described here. The work deals with the possibilities of data visualization using existing open source solutions and the differences between them. I describe the possibilities of modifying the open source environment of the Grafany project. Real dashboards from production are presented. The data collection system was deployed in two plants for testing.

As infrastructures and software grow in complexity the need to keep track of things becomes important. It is the job of log aggregation solutions to condense log data into a form that is easier to search, visualize, and analyze. There are many log aggregation solutions out there today with various pros and cons to fit the various types of data and architectures. This makes the choice of selecting a log aggregation solution an important one. This thesis analyzes two full-stack log aggregation solutions, Elastic stack and SigNoz, with the goal of evaluating how the ingestion and storage components of the two stacks perform with smaller and larger amounts of data. The evaluation of these solutions was done by ingesting log files of varying sizes into them while tracking their performance. These performance metrics were then analyzed to find similarities and differences. The thesis found that SigNoz featured a higher CPU usage on average, faster processing times, and lower memory usage. Elastic stack was found to do more processing and indexing on the data, requiring more memory and storage space to allow for more detailed searchability of the ingested data. This also meant that there was a larger storage space requirement for Elastic stack than SigNoz to store the ingested logs. The hope of this thesis is that these findings can be used to provide insight into the area and aid those choosing between the two solutions in making a more informed decision.