AIOps: application in IT
We have all heard
about artificial intelligence (AI) and its growing role in our daily lives: in
everyday life, on social networks, in school, and ChatGPT has already become a
favorite assistant for many. Artificial intelligence has not bypassed the IT
sector and is widely used there. Let's find out what AIOps is and whether it's
worth introducing into your work life.
AIOps stands for
“Artificial Intelligence for IT operations,” .This term refers to processes
where AI is used to automate IT operations and their maintenance. It is worth
considering what the significance of AI is when viewed in this light.
• High efficiency
Thanks to the use
of AI, for example, it is possible to quickly obtain actionable data from a
database without the help of several employees. Thus, experts using AIOps
solutions resolve data issues simply by complementing teams. At the same time,
using AI, experts can spend more time on unique and complex problems and errors
than on ordinary and mundane problems that can be solved by AI.
• Reduced time
spent
The AIOps system
widely analyzes data, and thus can promptly identify possible problems in the
system and indicate their causes. Thus, it is possible to predict serious
problems in the system and take timely measures to solve them.
• Anticipation of
system errors and forecast
Using AIOps,
system errors can be predicted. The system itself does this using ML (machine
learning). MO analyzes a large amount of data and derives patterns (due to
their volume, they cannot be detected by humans). Employees can detect this in
time and use data processing in real time.
• Optimization of
IT operations
Every day,
employees in this field work with large databases every day. To speed up some
simple processes, AI systems are used. Thus, some processes are automated, and
you can shift the focus of employees from simple tasks to more complex ones and
save time.
• Cloud systems
With the
introduction of AIOps, cloud systems become more autonomous and the human role
in the process itself is minimized. Due to the autonomous nature of cloud
storage, the main operations are carried out by AI, and only at each level some
tasks remain the responsibility of humans. Thus, employees do not have to worry
about the complex movements of data on the network and easily manage them in
different cloud storages. It should be noted that AIOps has a strong point -
enhancing the security of the cloud system and data. Speaking of forecasts,
this is also applied in the context of cloud storage, where any errors and
dangers can be immediately noticed by the AI.
• Application Development
During the early
stages of application development, programmers often use this system to detect
errors in code. Thus, they can automate code review, identify errors and create
a high-quality product.
You can also come
across a similar concept: DevOps - this is a software development methodology
that automates work processes, including development and support. It is most of
all a system for improving the quality of work and efficiency, like AIOps (but
AIOps is more about AI). DevOps professionals also use AIOps to save time and
evaluate program quality.
Having considered
the possible areas of application of AIOps in the process of work, it can be
understood that the main advantages of this system are lower labor costs,
saving time and improving the security of the internal system. Thus, by
implementing it, you can get significant benefits and make your work easier.
