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AIOps – How to get started with Artificial Intelligence for IT Operations

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What is AIOps?

If we will predict the future then what is the most exciting and perhaps the most disruptive tech trends of the coming years? It’s “artificial intelligence (AI)”. It is going to enables people to rethink how can we integrate the information, analyze the data, and use the resulting insights to improve decision making.

The same AI concept can enhance businesses IT operations immensely. AIOps is going to be a next generation of software intelligence where we can leverage the power of “artificial intelligence (AI)”. This concpet is introduced by analyst firm Gartner in the year 2017. The term AIOps is a amalgamation of artificial intelligence and IT operations. It refers to directly and indirectly automate and enhance IT operations – utilizing data analytics, machine learning (ML) other advanced analytics technologies.

Why we need AIOps?

As digital services become the new norm, clients/consumers/users now have multiple options and are increasingly prepared to walk away if they will face and problems or issues with your product.

In the modern process of development, digital services often contain hundreds of millions of lines of code and billions of dependencies and with multicloud, open source environments, tangled web of interconnected cloud platforms, microservices, containers, serverless architecture, and orchestration platforms makes it more complicated to manage effectively in real time when it takes just a small issue in a single line of code to trigger a storm of alerts.

It is nearly impossible for the tradictional operations teams to manually find the root cause of a problem that affects multiple services and raises thousands of events per second. In response, AI and machine learning have emerged as a means to relieve some of the manual intervention required. In the journey towards digital transformation, AIOps can make life better of your engineers and in the same time it can benefit the organization by reducing their cloud costs, improve cloud security compliance, and reduce alerts fatigue is by bringing intelligent machine operations through AIOps.

What are the benefits of AIOps?

  • It breaks down data silos
  • AIOps eliminates IT operational noise
  • Reduced downtime – It delivers a seamless user experience
  • It overcomes monitoring and analytics challenges.
  • Improved collaboration.
  • Improved business ROI IT productivity
  • Digital transformation success
  • Improve performance monitoring and service delivery
  • Pattern Discovery
  • It automates the tasks
  • AIOps possess the ability to radically reduce IT operations costs.
  • Drasticaly improves the problem-solving and deployment

What is difference between DevOps and AIOps?

What is the future of AIOps?

  • According to Gartner, 30% of the large companies will be using artificial intelligence for IT operations (AIOps) by 2023.
  • Enterprises who wants to not only survive but succeed in today’s digital economy must take into consideration the use of AI in IT operations.
  • Official Docker certfication recognized and acceptable worldwide.
  • AIOps market experienced a growth of 87% in recent 3 years – from 1.73 billion in 2017 to 13.51 billion USD in 2020. And recent researhces also predicts that AIOps the will experience further 21.05% growth between 2021 and 2026, reaching up to USD 40.91 billion in market size.

Reference:- devopsschool.com

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