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

May 25, 2023

Developers need a tool that can be portable and vendor agnostic, given the advent of microservices. It may be clear an issue is occurring; what may not be clear is if it's part of a distributed system or the app itself. Enter OpenTelemetry, commonly referred to as OTel, an open-source framework that provides a standardized way of collecting and exporting telemetry data (logs, metrics, and traces) from cloud-native software ...

May 24, 2023

As SLOs grow in popularity their usage is becoming more mature. For example, 82% of respondents intend to increase their use of SLOs, and 96% have mapped SLOs directly to their business operations or already have a plan to, according to The State of Service Level Objectives 2023 from Nobl9 ...

May 23, 2023

Observability has matured beyond its early adopter position and is now foundational for modern enterprises to achieve full visibility into today's complex technology environments, according to The State of Observability 2023, a report released by Splunk in collaboration with Enterprise Strategy Group ...

May 22, 2023

Before network engineers even begin the automation process, they tend to start with preconceived notions that oftentimes, if acted upon, can hinder the process. To prevent that from happening, it's important to identify and dispel a few common misconceptions currently out there and how networking teams can overcome them. So, let's address the three most common network automation myths ...

May 18, 2023

Many IT organizations apply AI/ML and AIOps technology across domains, correlating insights from the various layers of IT infrastructure and operations. However, Enterprise Management Associates (EMA) has observed significant interest in applying these AI technologies narrowly to network management, according to a new research report, titled AI-Driven Networks: Leveling Up Network Management with AI/ML and AIOps ...

May 17, 2023

When it comes to system outages, AIOps solutions with the right foundation can help reduce the blame game so the right teams can spend valuable time restoring the impacted services rather than improving their MTTI score (mean time to innocence). In fact, much of today's innovation around ChatGPT-style algorithms can be used to significantly improve the triage process and user experience ...

May 16, 2023

Gartner identified the top 10 data and analytics (D&A) trends for 2023 that can guide D&A leaders to create new sources of value by anticipating change and transforming extreme uncertainty into new business opportunities ...

May 15, 2023

The only way for companies to stay competitive is to modernize applications, yet there's no denying that bringing apps into the modern era can be challenging ... Let's look at a few ways to modernize applications and consider what new obstacles and opportunities 2023 presents ...

May 11, 2023
Applications can be subjected to high traffic on certain days, which, if not taken into account, can lead to unpredictable outcomes and customer dissatisfaction. These may include slow loading speeds, downtime, and unpredictable outcomes, among others ... Hence, applications must be tested for load thresholds to improve performance. Businesses that ignore load performance testing and fail to continually scale these applications leave themselves open to service outages, customer dissatisfaction, and monetary losses ...
May 10, 2023

As online penetration grows, retailers' profits are shrinking — with the cost of serving customers anytime, anywhere, at any speed not bringing in enough topline growth to best monetize even existing investments in technology, systems, infrastructure, and people, let alone new investments, according to Digital-First Retail: Turning Profit Destruction into Customer and Shareholder Value, a new report from AlixPartners and World Retail Congress ...