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About the Book
A new religion or a denomination of an existing one appears every day. Memory Religion backs them up. One of the attractive features of Memorianity is eternal immortality through the Memory of our Universe, and it is supported by the philosophy of Memoidealism, which claims that memory is the core foundation and part of everything, including itself. The original Core Testament of Memory Religion is based on a revelation to Dmitry Vostokov on the 17th of December 2008, before 2:40 pm (GMT), and a series of memory-trace revelations shortly afterward that resulted in 7 Memorianic Prophesies, illustrated with full-color memory-space art. This book also contains aphorisms and some relevant articles excerpted with minor modification from Memory Dump Analysis Anthology (Summa Memorianica, Diagnomicon), the foundational text of Memoretics, the science of memory snapshots. Further information can be found at www.MemoryReligion.com.
About the Author
Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He founded the pattern-oriented software diagnostics, forensics, and prognostics discipline (Systematic Software Diagnostics) and Software Diagnostics Institute. Vostokov has also authored over 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 over 30 years of experience in software architecture, design, development, and maintenance in various industries, including leadership, technical, and people management roles. Dmitry founded OpenTask Iterative and Incremental Publishing and Software Diagnostics Technology and Services (former Memory Dump Analysis Services). In his spare time, he explores Software Narratology and Quantum Software Diagnostics. His interest areas are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, semiotics, 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 functional programming, cloud native computing, monitoring, observability, visualization, security, automation, applications of category theory to software diagnostics, development and big data, and diagnostics of artificial intelligence.