"Many high-profile applications, like LinkedIn and Netflix, deliver nimble, responsive performance by reacting to user and system events as they occur. In large-scale systems, this requires efficiently monitoring, managing, and reacting to multiple event streams. Tools like Ka…
Event Streams in Action is a foundational book introducing the ULP paradigm and presenting techniques to use it effectively in data-rich environments. Many high-profile applications, like LinkedIn and Netflix, deliver nimble, responsive performance by reacting to user and system…
Event Streams in Action teaches you techniques for aggregating, storing, and processing event streams using the unified log processing pattern. In this hands-on guide, you'll discover important application designs like the lambda architecture, stream aggregation, and event repro…
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-art…
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-art…
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-art…
"Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-ar…
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-art…
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-art…
Logging in Java with the JDK 1.4 Logging API and Apache log4j is the first book to discuss the two foremost logging APIs: JDK 1.4.0 logging API and Apache log4j 1.2.6 logging API for application developers. The internals of each API are examined, contrasted, and compared in exha…
Effectively analyzing large volumes of diverse logs can pose many challenges. Logging and Log Management helps to simplify this complex process using practical guidance and real-world examples. Packed with information you need to know for system, network and security logging. Lo…
Logs, trees, forest : the big picture -- What is a log? -- Log data sources -- Log storage technologies -- Syslog-NG case study -- Covert logging -- Analysis goals, planning and preparation : what are we looking for? -- Simple analysis techniques -- Filtering, normalization, and…
