November 2018
Intermediate to advanced
390 pages
10h 8m
English
Hardware and software infrastructures generate a huge volume of heterogeneous logs. The logs primarily provide rich contextual details, along with the system's description. The logs come handy in the proper prognosis and diagnosis of the system's situation. However, the challenge is that manually preparing and interpreting multi-structured and massive logs is really a difficult thing. The faster maturity and stability of AI (machine and deep learning) algorithms, the greater affordability of IT infrastructure clusters through cloud-enabled data centers (CeDCs), and the growing versatility of analytics platforms are good news indeed for the real-time analytics of a huge amount of log data.
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