This article discusses:
- How next-gen AIOPs platforms will help integrate DevOps and business intelligence to provide a unified view of IT infrastructure
When it comes to managing IT, we are seeing a shift towards the integration of AIOps platforms. With AIOps, we add the power of artificial intelligence and machine learning to ITOps (IT Operations) to enhance operations, improve monitoring and enable proactive action to ensure business continuity. One of the major applications of leveraging AIOps platforms will be to obtain a unified view across different entities.
The existing ITOps solutions are limited by their inability to keep up with the increasing variety of data generated at an unparalleled pace by IT infrastructure and applications. This results in a lack of unified view for ITOps. The AIOps platforms are capable of working with different types of data coming from transactions, logs, metrics, etc. They will correlate these diverse sources of information, and through machine learning and AI, analyse the root cause. This will provide a common view across different entities and enable quick issue resolution or with the next-gen platforms – proactive issue prevention.
AIOps platforms are also capable of understanding topology, detecting anomalies, determining root cause (of issues) and providing prescriptive advice. As such, they are capable of identifying issues and detect dependencies present in any IT infrastructure topology. These features make them apt for deploying with DevOps. With DevOps, when we are integrating any new code, we check the new topology to understand the impact of new code. By creating a simulator that simulates topology after integration of the developed code, we can run AIOps platform on it to detect anomalies in this new topology. This will essentially allow us to predict potential problems in deployment and will help detect potential security issues.
Enterprises across industries are embracing a digital strategy leading to an increased focus on IT – Business alignment or IT – Business convergence (as many people are calling it now). A major concern that IT experts face in adhering to this convergence is the lack of a unified view across IT infrastructure and showing real-time insights of the impact of IT on businesses. However, with the rise of AIOps we have a way to provide this unified view and by coupling it with BI (Business Intelligence) applications, we can also gauge the impact of IT on business for better convergence.
So, the next-gen AIOps platforms will have a broader scope – one which integrates DevOps and BI as well. They will be able to provide a unified view of the end-to-end IT infrastructure, from new code development to managing the existing IT infrastructure to the implications of this infrastructure on the businesses. This opens up multiple use cases for AIOps implementation. It will enable business managers to take better IT-related decisions and for IT managers to establish the importance of infrastructure more effectively. It will start being an important factor in the digital strategy for businesses and will pave the way for better decision making and improved IT – Business convergence. But, how do you leverage this power (of unified view) to improve decision making? What is the strategy to effectively integrate AIOps into the existing IT infrastructure? How do you utilize the next-gen AIOps platforms to achieve your business objectives? Watch this space for more information.