AI powered IT Ops – Adapting to the accelerated changes in IT environments

The last decade witnessed several changes and transformations in IT operations. Cloud computing has displaced inhouse machine rooms, facilities and data centers. Containers create closer integration between developers and operations, and even standardize deployment. Transforming IT as an application and software services enables cost as well as capacity optimization.

Artificial intelligence for IT operations (AIOPs) stages applies AI (machine learning - ML) and data science to help take care of IT tasks and increase capability. AIOPs consolidates huge information and ML usefulness to upgrade all essential IT operation functions, including identifying, investigating, and settling accessibility and performance issues. However, this impact of AI on organizations requires significant change and adjustment much compared to any previous technology developments. Therefore, organizations need to adopt appropriate change management practices as AI has the capability to accelerate change management and make it error free and human-centric. AIOps is therefore the core enabler for every business, steering technological progress toward modernization as well as cost optimization.

SaaS is a significant driver for cloud adoption and development. SaaS gives organizations greater ability to improve efficiency in upgrading applications on their terms. Technologies and services must cooperate to be accessible and dependable. They should also be consumable in several ways so that organizations which rely on the cloud can accomplish their own unique business missions regardless of their underlying cloud techniques. Addressing the ask of contextualizing the business intent with personification of SaaS usability, is what now every major Cloud service provider and their locale of cloud innovators are doing.

AIOps is making it possible to see the whole range of the IT environment, regardless of whether it’s in the public cloud, the customer’s cloud, or in a hybrid environment that may incorporate public and private clouds, just as on-premises technologies. AIOps as a Service connects the visibility gaps, guaranteeing elevated levels of reliability, accessibility, and operational intelligence.

Artificial intelligence workloads are consuming a greater share of information technology infrastructure resources. AI is also taking up residence as an embedded component for managing, monitoring, scaling, securing, and controlling IT infrastructure.

Increasingly, this emerging IT management paradigm of ‘AIOps’ refers to two aspects of the relationship of AI with cloud infrastructures and operations. On the one hand, it refers to AI as a growing workload that infrastructure and operations are being optimized to support. On the other, it refers to the use of AI as a tool to make infrastructure and operations more self-healing, self-managing, self-securing, self-repairing, and self-optimizing. In this regard, the growing role of AI in IT infrastructure management stems from its ability to automate and accelerate tasks to be scalable, predictable, with more efficiency than manual methods. The interest in and adoption of AIOps has increased as organizations have sought to handle disruptors, increase innovation and more importantly, manage the volume and different types of digital data that cannot be done with human assistance. Without AI’s ability to perform continuous log analysis, anomaly detection, predictive maintenance, root cause diagnostics, closed-loop issue remediation, and other critical functions, managing complex multi-clouds may become impractical or cost-prohibitive for many organizations.

This does not imply that machines are replacing humans. Features like big data, AI/ML, and automation are required to deal with the transformation and for this ITOps professionals will need to enhance their skills. AIOps is creating new job roles for people and in no way reducing manpower.

Wipro has been supporting multiple customers in the transformation of physical data center-based infrastructure to cloud-based SaaS and containerization. Wipro's expert team uses Docker and Kubernetes to create a channelized DevOps pipeline and then transform everything in IT as an application or a software service such as infrastructure, network or an end application.

AIOps thus plays a role in implementing the DevOps pipeline on containers. This helps allocate the required capacity to the right resources and at right time in an agile manner. We leverage AIOps to understand available capacity and determine where and when it is required. Wipro's customers are able to innovate and deliver value to customers in turn in a sustained manner. During such times of enormous changes in technologies, infrastructure and market, the organizations that endure and thrive are those that adopt tech-enabled systems.