Driving Business Value with Production-Ready AIOps - Part 2
September 19, 2022

Vinay Chandrasekhar

Share this

Welcome to part two of a three-part blog series that explores how AIOps has become an increasingly important consideration for operations teams. In this second part of the blog series, we look at how adopting AIOps capabilities can drive business value for an organization.

If you missed part one, you can find it here.

Let's dive in.

How Does AIOps Drive Business Value for an Organization?

As with many IT and software development initiatives, AIOps benefits organizations and teams in multiple ways. While AIOps can significantly reduce the mundane and repetitive work required by IT operations (ITOps), site reliability engineering (SRE), and DevOps teams, the benefits also extend to other parts of the business:.

■ Reducing the mean-time-to-detection (MTTD) and mean-time-to-resolution (MTTR) ultimately means less service downtime, improved SLAs, and an enhanced customer experience.

■ Helping organizations deal with rapidly growing data volumes intelligently, reducing total cost-of-ownership (TCO), and alleviating scale challenges.

■ Reducing alert noise and implementing better automation can help free operations teams to take on higher-value initiatives.

■ Improving an organization's ability to handle ever-increasing IT complexity and the overall pace of change, AIOps allows businesses to bring value to customers more quickly and frequently.

Given the volume, complexity, and pace of change in today's cloud-native and hybrid application environments, AIOps is increasingly moving from a nice-to-have capability to a mission-critical competency for IT operations teams.

How Do You Build Trust in AIOps and Make Sure It Is Production-Ready?

IT personnel, SREs, and DevOps engineers have a couple of adoption hurdles they must cross to successfully utilize AIOps for their observability use cases.

On the one hand, there are significant buzzword challenges. The market for AIOps has a lot of buzzwords. Users can face questions such as what is the business value beyond those buzzwords? And whether AIOps will help them detect and remediate problems better and more efficiently than their current monitoring or observability setup. Beyond the buzzwords and hype, users may not always know if they will benefit from AI/ML for a specific use case.

And then there are trust hurdles. One hurdle is users' inability to tell whether the AIOps-based insights are accurate. Users might not even be aware of how comprehensive the analysis is, the information used, how the algorithms work, how conclusions are arrived at, or if those conclusions are relevant to their current investigation, resulting in a general distrust of black box AIOps systems. In some cases, organizational pressures or policies motivated by a lack of trust may also present barriers to AIOps adoption.

Our experience has shown that the best way for AIOps to provide its value is through its slow and steady adoption. First, identify specific, time-tested, and proven use cases to start adopting AIOps as a proof of concept (POC). Next, enable AIOps functionality on a smaller subset of your deployment while validating and socializing benefits and outcomes at each stage. Once you've seen some success, incrementally enable more AIOps functionality with a move towards production environments. This deliberate deployment path alleviates some of the traditional challenges associated with deploying new technology that can otherwise deter widespread AIOps adoption.

Testing and proving technology effectiveness in a smaller lab or non-production environment and measuring and showcasing results to management can help increase confidence and get buy-in before deploying AIOps in a real-world production environment. Such testing might unearth other gaps and requirements, such as missing or inconsistent data, shallow coverage, or insufficient storage or compute. As you deploy AIOps in production, check to see if your Observability solution can scale its features appropriately and handle your enterprise workloads. Certain AIOps features that work well in lab or POC environments may struggle to keep up with larger-scale requirements typically encountered in production environments.

In Part 3 of our AIOps beginners guide series, we'll talk about AI/ML capabilities beyond traditional AIOps that can further benefit Observability. And we'll take a peek into the future of AIOps. Until next time, keep observing!

Vinay Chandrasekhar is Sr. Principal Product Manager, Observability, at Elastic
Share this

The Latest

October 03, 2022

IT engineers and executives are responsible for system reliability and availability. The volume of data can make it hard to be proactive and fix issues quickly. With over a decade of experience in the field, I know the importance of IT operations analytics and how it can help identify incidents and enable agile responses ...

September 30, 2022

For businesses with vast and distributed computing infrastructures, one of the main objectives of IT and network operations is to locate the cause of a service condition that is having an impact. The more human resources are put into the task of gathering, processing, and finally visual monitoring the massive volumes of event and log data that serve as the main source of symptomatic indications for emerging crises, the closer the service is to the company's source of revenue ...

September 29, 2022

Our digital economy is intolerant of downtime. But consumers haven't just come to expect always-on digital apps and services. They also expect continuous innovation, new functionality and lightening fast response times. Organizations have taken note, investing heavily in teams and tools that supposedly increase uptime and free resources for innovation. But leaders have not realized this "throw money at the problem" approach to monitoring is burning through resources without much improvement in availability outcomes ...

September 28, 2022

Although 83% of businesses are concerned about a recession in 2023, B2B tech marketers can look forward to growth — 51% of organizations plan to increase IT budgets in 2023 vs. a narrow 6% that plan to reduce their spend, according to the 2023 State of IT report from Spiceworks Ziff Davis ...

September 27, 2022

Users have high expectations around applications — quick loading times, look and feel visually advanced, with feature-rich content, video streaming, and multimedia capabilities — all of these devour network bandwidth. With millions of users accessing applications and mobile apps from multiple devices, most companies today generate seemingly unmanageable volumes of data and traffic on their networks ...

September 26, 2022

In Italy, it is customary to treat wine as part of the meal ... Too often, testing is treated with the same reverence as the post-meal task of loading the dishwasher, when it should be treated like an elegant wine pairing ...

September 23, 2022

In order to properly sort through all monitoring noise and identify true problems, their causes, and to prioritize them for response by the IT team, they have created and built a revolutionary new system using a meta-cognitive model ...

September 22, 2022

As we shift further into a digital-first world, where having a reliable online experience becomes more essential, Site Reliability Engineers remain in-demand among organizations of all sizes ... This diverse set of skills and values can be difficult to interview for. In this blog, we'll get you started with some example questions and processes to find your ideal SRE ...

September 21, 2022

US government agencies are bringing more of their employees back into the office and implementing hybrid work schedules, but federal workers are worried that their agencies' IT architectures aren't built to handle the "new normal." They fear that the reactive, manual methods used by the current systems in dealing with user, IT architecture and application problems will degrade the user experience and negatively affect productivity. In fact, according to a recent survey, many federal employees are concerned that they won't work as effectively back in the office as they did at home ...

September 20, 2022

Users today expect a seamless, uninterrupted experience when interacting with their web and mobile apps. Their expectations have continued to grow in tandem with their appetite for new features and consistent updates. Mobile apps have responded by increasing their release cadence by up to 40%, releasing a new full version of their app every 4-5 days, as determined in this year's SmartBear State of Software Quality | Application Stability Index report ...