AIOps, aka Artificial Intelligence for IT Operations, is an AI application & relevant technology platform with multiple layers. AIOps automates and enhances IT operations with the help of analytics and machine learning. The breakthrough that came with AIOps is to make IT operations relatively seamless. According to Gartner, AIOps combines machine learning and big data to automate processes, event correlation, causality determination, and anomaly detection. Read more: https://cloudzenix.com/a-comprehensive-guide-to-aiops-integration-in-organizations/

1. A Comprehensive Guide to AIOps Integration
in Organizations
AIOps, aka Artificial Intelligence for IT Operations, is an AI application & relevant
technology platform with multiple layers. AIOps automates and enhances IT operations with
the help of analytics and machine learning. The breakthrough that came with AIOps is to
make IT operations relatively seamless. According to Gartner, AIOps combines machine
learning and big data to automate processes, event correlation, causality determination, and
anomaly detection.
AIOps solutions leverage algorithmic analysis of Observability from different sources with
IT data to give SRE, ITOps, and DevOps teams an edge to be more productive and efficient.
The most incredible aspect of using AIOps today is that this methodology helps the digital
world’s frontiers detect issues early on. When the resolution is provided seamlessly, the
impact on business operations in any organization is significantly reduced.
Taming the complexity of modern-day IT operations requires quantifying data in the digital
environment. AIOps aid in maintaining uptime while preventing outages and achieving
continuous everyday service assurance. Digital transformation always revolves around IT
infrastructure. With AIOps, organizations can operate with the agility that is the requirement
for today. In the end, a remarkable user experience is what everybody wants to achieve.

2. Platforms developed with AIOps are meant for today
and the future!
Would you call the modern-day data center to be where your great-grandfather used to work?
Didn’t think so; today’s data center is dynamic as the IT environments are constantly
changing with sticks and stones and IT tools of yesteryears. Modernizing the IT infrastructure
is imperative; containerization and microservices make it a reality.
IT infrastructures have been evolving rapidly; in less than a decade, organizations are moving
from static, predictable systems with physical accessibility to software-defined resources that
can be reconfigured on demand. Without dynamic technology & processes, an organization
cannot survive today in the long run.
Managing complexity in the modern IT environment can be traced to three levels. They are:
Tools:
Tools are the outer layer and the third used to manage and monitor data and systems.
Numerous tools exist today that narrow down functionality. They are unable to interoperate
while creating data as well as operational silos.
Data:
The IT environment’s second layer is the data the systems generate. It comprises metrics,
logs, event records, and traces, among several others. The second layer is complex because
data is available in large volumes with several varieties, specificity, and redundancy.

3. Systems:
The first layer is also the most common. Systems showcase the core complexity of an IT
environment. Systems are modular, dynamic, distributed, and their components are short-
lived; hence the complexity becomes significant.
Every year, systems that function with old rules must catch up. The need for static,
homogenous, and pre-established infrastructure is obsolete as the IT infrastructure evolves.
AIOps is the answer and the solution to the problems that come with conventional IT
Infrastructure. Machine learning & data science gives IT operations an edge if organization
adapt AIOps. There are always new and unprecedented problems for which rules must be
crafted. Furthermore, this affects the performance and availability of digitization.
AIOps, the powerhouse of modern-day digital
operations
AIOps platforms, in the real-world setting, accumulate data from different sources in an IT
environment. The data is usually gathered from applications, cloud instances, networks,
infrastructure, and storage. The process goes like this:
Step 1-
AIOps solutions use algorithms to remove duplication and noise. Further, the process is
carried out by selecting relevant data for the organization. This sort of algorithmic filtering
significantly reduces ‘n’ the number of alerts Ops teams go through. Moreover, the filtering
process aids in the elimination of duplicate work that come with repetitive tickets and is
further directed toward different teams.

4. Step 2-
In the second step, correlation emerges, where relevant information, such as several
topologies, time, and text, is considered. As the data pattern is identified, it then infers to
showcase causes and events that led here.
Step 3-
AIOps platform then communicates the analysis result to a collaborative ecosystem where the
team collaborates virtually to solve the incident. The team has access to all the data procured
so far. The virtual team comprises specialists that swarm around the issue, which goes
beyond the organization’s technological and operational boundaries.
The ‘swarm of experts’ decides upon fixes and then chooses completely automated
responses. Further resulting in providing a precise, fast, and optimum resolution. Long story
short, AIOps, which their incredible capabilities, can help compartmentalize incident and
ticketing management by making the process agile and collaborative.
One of the most promising capabilities of AIOps is that the technology automatically
improves incident response by streamlining the workflow without relying on human
intervention. An average AIOps platform has causes & solutions in store for every incident.
The Ops team uses the diagnosis and then prescribes solutions that can be resolved in the
future.
How can CloudZenix help you fit AIOps into your
existing IT Infrastructure?
If you’re looking to integrate AIOps in your organization for the first time, you might hit the
roadblock of how it can fit new tools into the existing infrastructure. CloudZenix, as a
DevOps and Cloud Computing solution provider, will not ask to suggest you replace the log
management, existing monitoring, service desk, log management, and, lastly, the
orchestration tools. Our AIOps solution sits amidst these domains by consolidating
information across them.
When you get the proper access to every piece of tools of AIOps, you can access the correct
information at any time! Our AIOps solution provides a versatile and flexible approach to
help you strongarm your IT monitoring and management with tools that intelligently help
your business. AIOps is used today by organizations of different sizes, types, and industries
in either large or complex environments.
You don’t have to be convinced. Instead, contact us for a one-on-one here or contact us
at info@cloudzenix.com.