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.

The recent log analytics solutions are succulently AI-powered to unearth patterns and predict impending problems. Also, log analytics software solutions are increasingly capable of prescribing the ways and means toward mitigating the predicted problems. In short, log data gets turned into information and tuned for knowledge. They can unravel hitherto-unknown patterns. The decision-makers and operation teams are being told about the hidden issues and limitations. Furthermore, tactical as well as strategically sound solutions for surmounting the articulated and accentuated problems are also being brought forth. The key capabilities of a typical log analytics platform includes the following:

• Automated log parsing: The platform streams all logs from any application and will automatically parse and analyze them in real-time to emit usable insights.
• Problem prediction and correlation: It predicts problems in our IT environment and detects hidden issues and correlates events among all of our applications.
• End-to-end root-cause analysis: It leverages the amazing developments in the field of AI to get into the root-cause of issues in real-time.
• Recommended resolutions: The platform enriches the detected problems with all the contextual information. Then it comes out with the recommended resolutions and action items in real-time, using its ever-growing knowledge base.