Why Enterprises Must Consider AIOps
May 20, 2021

Gareth Smith
Eggplant

Share this

The demand for AIOps has accelerated as organizations struggle with the increased complexities of IT systems, a disparate workforce, and the explosive growth of operational data. Gartner even recently stated that "there is no future of IT operations that does not include AIOps." For the modern enterprise, relying solely on traditional analysis or humans results in missed opportunities and potentially increases risk.

So, what is AIOps?

It's about leveraging intelligent technologies, including AI and ML, to automate an organization's operations to provide a real-time understanding of issues in order to improve the reliability and quality of services. In addition, once adopted, it minimizes the time spent firefighting.

Another key benefit of AIOps is that it removes the barriers and wasted cost of siloed IT operations and provides enterprises with a platform to increase agility incrementally.

By using insights from uncorrelated data across systems, organizations can predict and fix operational problems before they occur. As a result, enterprises can reduce the time spent resolving these problems along with minimizing the impact. In addition, the intelligent technologies provide data-driven insights that help inform better decision making and improve the quality of services. By utilizing the power of AI and ML, this ultimately becomes fully automated and should prevent major outages from occurring.

Starting Your DevOps Journey

When it comes to starting your AIOps journey, it's best to focus on visibility. First, organizations should use the insights to hone in on critical operational indicators such as reliability, quality, mean time to resolution, and identify the major stumbling blocks.
Then IT teams should plan changes around those vital areas with additional, more proactive, AIOps capabilities while continually using the data generated to demonstrate progress and validate the shift to AIOps.

One of the advantages of AIOps adoption is that you can do it incrementally. With this approach, the insights initially uncovered can highlight otherwise unknown problems without disruption. Then augment the visibility aspects with more automation and more powerful analytics across a more comprehensive set of data sources. This allows the enterprise to become familiar with AIOps while proving its value before rolling it out further.

At the same time, there are some common pitfalls that enterprises need to be cognizant of. For example, the common problem of inertia with IT teams also applies to AIOps. Existing IT teams are overstretched and lack the time to investigate new technologies and initiatives, especially ones with more advanced AI and ML capabilities. However, given the automation and efficiency benefits of AIOps, this incremental migration should be seen as a good investment for a much-improved result.

As Abraham Lincoln put it, "give me six hours to chop down a tree and I will spend the first four sharpening the axe."

Gareth Smith is General Manager at Eggplant
Share this

The Latest

April 15, 2024

Organizations recognize the value of observability, but only 10% of them are actually practicing full observability of their applications and infrastructure. This is among the key findings from the recently completed Logz.io 2024 Observability Pulse Survey and Report ...

April 11, 2024

Businesses must adopt a comprehensive Internet Performance Monitoring (IPM) strategy, says Enterprise Management Associates (EMA), a leading IT analyst research firm. This strategy is crucial to bridge the significant observability gap within today's complex IT infrastructures. The recommendation is particularly timely, given that 99% of enterprises are expanding their use of the Internet as a primary connectivity conduit while facing challenges due to the inefficiency of multiple, disjointed monitoring tools, according to Modern Enterprises Must Boost Observability with Internet Performance Monitoring, a new report from EMA and Catchpoint ...

April 10, 2024

Choosing the right approach is critical with cloud monitoring in hybrid environments. Otherwise, you may drive up costs with features you don’t need and risk diminishing the visibility of your on-premises IT ...

April 09, 2024

Consumers ranked the marketing strategies and missteps that most significantly impact brand trust, which 73% say is their biggest motivator to share first-party data, according to The Rules of the Marketing Game, a 2023 report from Pantheon ...

April 08, 2024

Digital experience monitoring is the practice of monitoring and analyzing the complete digital user journey of your applications, websites, APIs, and other digital services. It involves tracking the performance of your web application from the perspective of the end user, providing detailed insights on user experience, app performance, and customer satisfaction ...

April 04, 2024
Modern organizations race to launch their high-quality cloud applications as soon as possible. On the other hand, time to market also plays an essential role in determining the application's success. However, without effective testing, it's hard to be confident in the final product ...
April 03, 2024

Enterprises are experiencing a 13% year-over-year increase in customer-facing incidents, reflecting rising levels of complexity and risk as businesses drive operational transformation at scale, according to the 2024 State of Digital Operations study from PagerDuty ...

April 02, 2024

According to Grafana Labs' 2024 Observability Survey, it doesn't matter what industry a company is in or the number of employees they have, the truth is: the more mature their observability practices are, the more time and money they save. From AI to OpenTelemetry — here are four key takeaways from this year's report ...

April 01, 2024

In an age where technology evolves at a breakneck pace, it's crucial to explore how AI assistants can revolutionize our work processes and daily lives, ultimately enhancing overall performance ...

March 28, 2024

Nearly all (99%) globa IT decision makers, regardless of region or industry, recognize generative AI's (GenAI) transformative potential to influence change within their organizations, according to The Elastic Generative AI Report ...