The rapid advancements in the areas of Artificial Intelligence (AI) and Machine Learning (ML) have influenced all walks of our lives. In today’s IT industry, a lot is dependent on the new technologies and software applications that address all the modern challenges and bottlenecks affecting a traditional Cloud and Platform as a Service market.
In this article, I have outlined the two elemental transformations in Cloud and IT Modernization that are helping every business become more competitive and future focused.
The two capabilities are:
Docker / Containerization
Dockers have been in the IPaaS market for more than 5 years now. In an agile ecosystem, dockers and containerization have exploded only after top Cloud platform and services providers started putting virtualization / virtual machines on top of their IT infrastructure management. With the COVID-19 crisis taking a toll on remote IT management, companies are facing major challenges in their operational capabilities owing to an unpredictable disruption resulting from the cyber security breach, data hacks, ransomware, and broken app development life cycle.
Containers are packaged data-driven software bundles that enable DevOps and IT management teams to run an entire set of functions from multiple computing environments, without losing app portability capabilities in a free from silo approach.
Another reason to focus on containers and docker systems in your data science course in India is its rapid adoption in the AI ML projects. According to a recent Containerization report, nearly 70 percent of the world’s global organizations would be operating on at least one or more containerized applications that accelerate the entire app development and testing life cycle.
You should also be aware of the recent developments in Continuous Integration and Continuous Delivery/ deployment trends, also called CI CD.
I prefer to club AI in IT operations and the use of predictive intelligence / analytics in the same group of capabilities for IPaaS customers. An important aspect of learning AIOps techniques through data science online course in India is its direct and indirect correlations established across the entire IT environment, applied to measure various performance metrics Cloud managed services providers would like to offer to customers.
In fact, Cloud users themselves use Business Intelligence and analytics to make the right direction in what they want from their Cloud provider and use predictive analysis to justify their decisions with the forecasting on the particular applications and workloads in various scenarios.
With data science and AIOps at the center of your learning journey, you can accurately place the role of various Predictive analytics technologies for a diverse range of industries, including manufacturing, agriculture, education, banking and insurance, healthcare, Brand safety, and advertising performance in e-commerce as well as to address numerous unforeseeable crisis arising from a cyber security breach and dynamic market conditions, such as pandemic lockdowns and retail shutdowns.
Today, start balancing your ITOps with AI, Predictive Analysis, and ML automation in your data science course in India for an accurate understanding of IT Cloud ‘Containers’ systems.