Written by Farooq Zubairi
Practice LeadAIOps uses artificial intelligence capabilities such as big data, machine learning, and other analytics from different data sources to simplify complex IT operations and automate data processing by providing proactive insights. We can understand Watson as a service that automates the real-time detection, diagnosis, and remediation of network and operations anomalies.
The difference between IBM Watson and other monitoring tools like App Dynamics, SolarWinds, etc. is that it automatically learns data behaviors, detects anomalies, and then suggests the appropriate solutions. Read this blog to act on your intelligence with AI & Chatbot with IBM Watson.
Today, most organizations are moving from traditional infrastructure to a more dynamic & hybrid infrastructure, where some apps are hosted on the cloud, and some are on the ground. Applications and systems across these multiple environments generate tons of data, and it keeps on growing with time.
Traditional domain-based IT management solution
AIOps enables IT operations to identify, address, and resolve slow-downs and outages faster than they can by examining manually through alerts from multiple IT operations tools. This results in several specific benefits:
AIOps can help drive other important business and IT initiatives:
In typical enterprises, we have the following:
Enterprise System/Applications
Hybrid Environments
Multiple Application and log files
System and Application logs
Millions of events
Streaming and messaging
It's not easy for traditional monitoring applications to handle all of these in a single place; AIOPs can help define the data correlation and semantic understanding of data between discrete systems. AIOps is a better fit for medium to large enterprises.
IBM Watson OpenScale can now be run in any environment – on-premises or on any private, public, or hybrid multi-cloud – enabling businesses to predict based on the data available, no matter where it is hosted. In addition, companies will be able to build models into their apps, regardless of where they reside. This flexibility can remove one of the major obstacles to scaling AI since businesses can now leave data in secure or preferred environments and take Watson to that data.
IBM Watson® AIOps 2.0 is composed of four components:
IBM Watson OpenScale can now be run in any environment – on-premises or on any private, public, or hybrid multi-cloud – enabling businesses to predict based on the data available, no matter where it is hosted. In addition, companies will be able to build models into their apps, regardless of where they reside. This flexibility can remove one of the major obstacles to scaling AI since businesses can now leave data in secure or preferred environments and take Watson to that data.
IBM Watson® AIOps 2.0 is composed of four components:
Watson can be implemented in any kind of environment, whether it's local, on-premise, cloud, hybrid, or multi-cloud.
Watson collects structured or unstructured data from different applications, systems, and environments in the form of logs, tickets, events, metrics, and topologies.
In the next generations of Watson AIOps solutions, Royal Cyber envisions fully instrumented, visible, self-aware, automated, and autonomic IT operations environments. Watson AIOps solutions will help resolve issues in a responsive mode and avoid issues from taking place in the first place by creating the Development-Security-Operations (DevSecOps) lifecycle activities for effective operations.
Drive Down Service Outages with AIOps, watch this on-demand webinar to know how we helped reduce noise by 99% using ServiceNow Event Management. Our team is striving to shape the future and take your business to the next level. For more information, you can email us at info@royalcyber.com or visit www.royalcyber.com.