The Paranal Observatory is the host of VLT/VLTI, a world-class telescope that contains systems with different maturity levels. In the middle term Paranal will operate ELT and CTA. We are exploring new techniques to deal with this increasing complexity. A good part of system behavior is well captured by software logs, and several techniques brought from academic literature and as industry practices have been implemented as tools for system monitoring, error profiling, anomaly detection, and process discovery among others. Also, several prototypes have been made using ML and natural language processing techniques with the aid of Paranal DATALAB, a Docker-based data warehouse that provides years of historical data. This work shows the result o...
The purpose of this thesis is to investigate and implement a framework for log management and analys...
Because of their contribution to the overall reliability assurance process, software logs have becom...
Modern systems generate a tremendous amount of data, making manual investigations infeasible, hence ...
Using logs to detect and diagnose problems in software systems is no longer a feasible human process...
Project Specification CERN is running several large WinCC OA distributed sys- tems, each of them co...
Modern software development and operations rely on monitoring to understand how systems behave in pr...
Today, with the widespread use of machine learning methods in various fields of human activity, the ...
AbstractThis paper describes a set of tools that allows a developer to instrument a C/C++ program to...
Checking the execution behaviour of continuous running software systems is a critical task, to valid...
Many problems exist in the testing of a large scale system. The automated testing results are not re...
As log files increase in size, it becomes increasingly difficult to manually detect errors within th...
We address several problems in intelligent log management of distributed cloud computing application...
The CERN IT/monitoring team handles around 5000 gigabytes of data every day millions of monitoring e...
Runtime verification as a field faces several challenges. One key challenge is how to keep the overh...
Monitoring software behaviour is being done in various ways. Log messages are being output by almost...
The purpose of this thesis is to investigate and implement a framework for log management and analys...
Because of their contribution to the overall reliability assurance process, software logs have becom...
Modern systems generate a tremendous amount of data, making manual investigations infeasible, hence ...
Using logs to detect and diagnose problems in software systems is no longer a feasible human process...
Project Specification CERN is running several large WinCC OA distributed sys- tems, each of them co...
Modern software development and operations rely on monitoring to understand how systems behave in pr...
Today, with the widespread use of machine learning methods in various fields of human activity, the ...
AbstractThis paper describes a set of tools that allows a developer to instrument a C/C++ program to...
Checking the execution behaviour of continuous running software systems is a critical task, to valid...
Many problems exist in the testing of a large scale system. The automated testing results are not re...
As log files increase in size, it becomes increasingly difficult to manually detect errors within th...
We address several problems in intelligent log management of distributed cloud computing application...
The CERN IT/monitoring team handles around 5000 gigabytes of data every day millions of monitoring e...
Runtime verification as a field faces several challenges. One key challenge is how to keep the overh...
Monitoring software behaviour is being done in various ways. Log messages are being output by almost...
The purpose of this thesis is to investigate and implement a framework for log management and analys...
Because of their contribution to the overall reliability assurance process, software logs have becom...
Modern systems generate a tremendous amount of data, making manual investigations infeasible, hence ...