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Understanding AIOps Better – Part 1

AIOps isn’t one of those life-changing innovations that took the world by awe. It also isn’t one of those things that got a place in primetime discussions or became the talk of the business town. Nonetheless, AIOps is what drives the success of digital transformation within organizations.

When businesses saw the potential in digital and began extensively investing in it, traditional IT management techniques quickly failed in supporting the scale and volume of innovation. And from this pressing need to support massive digital business transformation was born Artificial Intelligence for IT Operations or AIOps in short. Having established that digital transformation would have been nearly impossible without AIOps, it is only fair to say that here’s a hero who has been working behind the scenes to bring out some of the most beloved innovations in the world.


So, what exactly is AIOps?


AIOps refers to the composite of all technology platforms that automate and enhance IT operations through Artificial Intelligence, Machine Learning, and Data Science. These platforms give better control, predictability and visibility by leveraging data to automatically detect and respond to issues in real-time.

AIOps breaks the data silos in IT and brings together all forms of data under a single roof. IT then runs a Machine Learning strategy on the collated sea of data to derive insights that enable responsive improvements and fixes. This means that IT management has advanced from dousing the fire after it has caught to identifying potential fire and preventing the damage even before it has happened.




Why AIOps?

When digital transformation began taking over the business world, there were things that were beyond the scope of traditional IT setup including:

  • Scalability of manual efforts: Human processes were failing to match up with the pace of digital innovation. The complexity of the new innovative space needed something that was equally quick and dynamic.


  • Exponential amount of data: With the introduction of many new complex digital platforms, the amount of data and thereby, the service requests grew exponentially which were too complex for manual processing.


  • Speed as a necessity: Over time, with the consumerization of technology, user expectations have evolved. Especially speed in responsiveness has emerged as hygiene, making it necessary to bring in means to speed up processes and responses.


  • Dispersion of IT solutions: With the advent of cloud and third-party services, suddenly IT solutions and applications aren’t being controlled by IT teams alone. From control to even budget, there is a dispersed approach to IT management that has emerged.

  • Need for a central control system: Despite the dispersed way in which IT solutions are present throughout the organization, the need to have a central cockpit can’t be denied. And this level of monitoring requires flexibility and transparency that traditional IT systems cannot provide.




How to get started with AIOps?


It is only reasonable to integrate AIOps into your business operations as early as possible. Embracing this technology will bring many benefits to your enterprise, including reducing the cost of operations. Here are some tips that you could use to your advantage.


  • Analyze in terms of what data collection engines are already in place in your environment, like management and monitoring platforms, service management platforms, APM, devops systems etc.


  • Understand your critical pain points in terms of making them more predictable, plan your use-cases.


  • Check if these use-cases are generic or they are specific to a certain domain.


  • For a generic use case pick a tool that has the capability to rely on data from data collection engines within your environment.


  • For domain specific use-cases you will need to be able to use a system that can be modeled with your data in hand, ingest data from your domain specific systems and generate domain specific models for your environment.


  • The final option that can also be explored is a complete custom solution that caters to you specific needs.


In Conclusion


The modern IT business environment is highly dynamic and humans alone cannot keep up with its speed. AIOps helps by optimizing IT operations to ease the workload and smoothen business operations. The future of AIOps is bright; as technology becomes more human, it will open the doors to an untapped wealth of data, and considerably lower the costs of conducting business. Contrary to a widespread assumption, AIOps will not eventually cause devastating unemployment. The earlier you start adopting the technology, the better for you and your business.


Up Coming Topic: AIOPS use cases

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