The main responsibility of DevOps and IT operations teams include solving problems and facing challenges which is becoming tougher by each day. This is where real-time and centralized log analytics come to the rescue. It helps them in understanding the essential aspects of their log data, and easily identify the main issues. While Artificial Intelligence (AI) was a big thing a few decades ago, it is now being commonly used. As IT operations becoming more complex, AI is becoming a powerful and essential tool. One solution can be to have a platform that has collected data from the internet about all kinds of related incidents, observed how people using similar setups resolved them in their systems and scanned through your system to identify the potential problems. Cognitive Insights can be introduced, this technology uses machine-learning algorithms to match human domain knowledge with log data, along with open source repositories, discussion forums, and social thread. Read more at: http://readwrite.com/2017/05/15/artificial-intelligence-transform-devops-dl1/

One of the challenges faced by IT software development (devops) teams look for faults in a large stack of data. Human mind, with its limited capacity, is incapable to cope up with the dynamic technology and tools which can handle such daily inflows of data. Therefore, a need for centralized analytics system arises to troubleshoot problems and assist in real -time decision making.AI instead of analyzing data itself can mimic other people who had faced similar problems in their system and find out remedies. Cognitive Insights can help protect organizations against Distributed Denial of Service (DDoS)  attacks. Risks would be reduced and customer success rate would improve. Read more at: http://analyticsindiamag.com/see-artificial-intelligence-become-biggest-driver-devops/