Dmitry Vostokov

Idea

Blogger's Notebook

• Gebundenes Buch

Produktbeschreibung

Notebook to write blogging ideas based on experience of the founder of the famous technical blog DumpAnalysis.org who transformed it into bestselling multivolume book series Memory Dump Analysis Anthology. Can be used for up to 5 blogs and 5 books. Also contains sections for work and home related notes and tasks.

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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Opentask
• Seitenzahl: 320
• Erscheinungstermin: 10. November 2008
• Englisch
• Abmessung: 222mm x 145mm x 22mm
• Gewicht: 584g
• ISBN-13: 9781906717339
• ISBN-10: 1906717338
• Artikelnr.: 25583355

Autorenporträt

Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He is the founder of pattern-oriented software diagnostics, forensics and prognostics discipline (Systematic Software Diagnostics), and Software Diagnostics Institute. Vostokov has also authored more than 50 books on software diagnostics, anomaly detection and analysis, software and memory forensics, root cause analysis and problem solving, memory dump analysis, debugging, software trace and log analysis, reverse engineering, and malware analysis. He has more than 25 years of experience in software architecture, design, development, and maintenance in a variety of industries including leadership, technical and people management roles. Dmitry also founded Syndromatix, Anolog.io, BriteTrace, DiaThings, Logtellect, OpenTask Iterative and Incremental Publishing, and Software Diagnostics Technology and Services (former Memory Dump Analysis Services) and Software Prognostics. In his spare time, he presents various topics on Debugging TV and explores Software Narratology, its further development as Narratology of Things and Diagnostics of Things (DoT), Software Pathology, and Quantum Software Diagnostics. His current areas of interest are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, artificial intelligence, machine learning and data mining to diagnostics and anomaly detection, software diagnostics engineering and diagnostics-driven development, diagnostics workflow and interaction. Recent interest areas also include cloud native computing, security, automation, functional programming, and applications of category theory to software development and big data.