To address the aforementioned challenges, this paper introduces L2G-Log, a graph-based unsupervised method for log anomaly detection. The method begins by constructing logs into directed, attributed, ...

Enable colorized log output directly in the collapsed view of the Pipeline Console. This would allow users to see the colorized logs without needing to expand each section manually. If necessary, this ...

Spartan Capital Securities, LLC Serves as Sole Book-Runner in LogProstyle, Inc.’s $10 Million Initial Public Offering ...

LogProstyle closes $10 Million IPO and begins trading on NYSE American under ticker LGPS ...

K-catalyzed gasification of char and carbon has been studied for more than 40 years while many different types of relationships between specific rate of gasification (rsp = dXdt(1−X), X; char ...

Secondly, based on the service dependency graph, we propose an anomaly detection method based on log-metric fusion, which can more accurately describe the running status of microservices, thereby ...

def build_initial_hypernym_graph_with_domain_knowledge (input_words:list = None, types_instances:dict = None, types_hierarchy:list = None, graph_export_path:str = None): #create a graph visualizing ...

We report the observation that the droplet size distributions of the proteins FUS and α-synuclein follow a scale-invariant log-normal behaviour. These findings are consistent with a universal ...