Q&A: Gartner Talks About AIOps - Part 2
May 10, 2017
Share this

In APMdigest's exclusive interview, Colin Fletcher, Research Director at Gartner, talks about Algorithmic IT Operations (AIOps) and the challenges and recommendations for AIOps adoption.

Start with Gartner Talks About AIOps - Part 1

APM: What are current tools lacking that has given rise to AIOps?

CF: Many tools used across IT Operations Management historically and even today are implicitly or explicitly built around paradigms that limit their ability to cope with or keep up with rapidly changing demands and technological innovation.

Examples of these design paradigms include but are not limited to:

■ A rigid linkage between the data collection mechanism, the data retention mechanism, the analytical engine(s), and the means to visualize and interact with their results

■ Analytical capabilities that depend heavily on manual development and maintenance to deliver value

■ Data ingestion and storage mechanisms that do not easily scale

■ Limited support of bidirectional, "full" integration with other tools

■ Best practice-formed workflows and processes that are rarely adapted, updated or otherwise modified

These paradigms evolved for good reason out of decades of operational experience, however these same paradigms are exactly the calcified barriers to meeting growing and diversifying needs of business stakeholders.

APM: Is this tool used on top of a company's existing analytics and other IT Operations tools, or does it replace them?

CF: Currently most organizations are using AIOps platforms in tandem with other IT operations management tools and we expect that will continue to be the case for some time. That said, more and more enterprises and in particular DevOps teams find that over time their AIOps platform should be considered to be used in place of multiple tool types, particularly legacy tools.

APM: Is a certain type or size of enterprise a better candidate for AIOps?

CF: Keeping in mind that AIOps encompasses a wide span of capabilities, from basic log/machine data analysis tools to sophisticated, machine learning analytical engines, we see enterprises of all types finding good places to start on their AIOps journey.

APM: Does AIOps require a new skillset in IT?

CF: As mentioned earlier, AIOps covers a wide span of tooling, so it's possible to get started on an AIOps journey using very basic skills to start analyzing logs for example. That said, taking maximum advantage of all that AIOps has to offer will require an investment in developing or acquiring a level of analytical skill not always found in IT operations teams. Enterprises often find that DevOps teams/initiatives and business analysts are often good internal sources of talent.

APM: What do you see as the biggest barriers to AIOps adoption?

CF: Misplaced fear that the automated analytical capabilities AIOps offers will directly lead to job reductions, real and perceived cost issues, previous negative experiences with prior generations of statistical pattern discovery and recognition and/or event correlation and analysis tools that failed to deliver, fear that AIOps tools require an unobtainable level of skills to be useful, "tool gravity"/reluctance to change.

As you probably detected, most of these issues while reasonably formed, are rooted in perceptions built around a literal previous generation of thinking and technologies that does not directly apply to today's AIOps tools.

APM: For enterprises starting out with AIOps, do you have a recommendation of where to start?

CF: AIOps tools have progressed to the point that many of them are actually very easy to just look at and try with little or no cost – I think that's a great way to get a sense of what these tools are capable of, and I wouldn't wait long to do so! Of course Gartner clients are always welcome to also take advantage of our published research on the topic or get some time on the calendar to talk about how AIOps can help them.

ABOUT Colin Fletcher

Colin Fletcher focuses his research on how advances in application release automation (ARA), IT operations analytics (ITOA), continuous configuration automation (CCA) and DevOps can help IT operations teams continually drive greater business success, reduce costs and mitigate risk. Fletcher's research is informed by daily conversations with clients and thought leaders, as well as more than 16 years of IT practitioner experience (from service desk to admin to consultant), leadership experience (team, project and product management) and creative marketing experience (product and strategic) built at companies large and small, including Apple, HP, BMC Software, Motorola, IBM Global Services, Dell and several startups.

Share this

The Latest

June 20, 2018

Looking ahead to the rest of 2018 and beyond, it seems like many of the trends that shaped 2017 are set to continue, with the key difference being in how they evolve and shift as they become mainstream. Five key factors defining the progression of the digital transformation movement are ...

June 19, 2018

Companies using cloud technologies to automate their legacy applications and IT operations processes are gaining a significant competitive advantage over those behind the curve, according to a new report from Capgemini and Sogeti, The automation advantage: Making legacy IT keep pace with the cloud ...

June 18, 2018

It's every system administrator's worse nightmare. An attempt to restore a database results in empty files, and there is no way to get the data back, ever. Here are five simple tips for keeping things running smoothly and minimizing risk ...

June 15, 2018

When it comes to their own companies, 50% of IT stakeholders think they are leaders and will disrupt, while 50% feel they are behind and will be disrupted by the competition in 2018, according to a new survey of IT stakeholders from Alfresco Software and Dimensional Research. The report, Digital Disruption: Disrupt or Be Disrupted, is a wake-up call for the C-suite ...

June 14, 2018

If you are like most IT professionals, which I am sure you are, you are dealing with a lot issues. Typical issues include ...

June 13, 2018

The importance of artificial intelligence and machine learning for customer insight, product support, operational efficiency, and capacity planning are well-established, however, the benefits of monitoring data in those use cases is still evolving. Three main factors obscuring the benefits of data monitoring are the infinite volume of data, its diversity, and inconsistency ...

June 11, 2018

Imagine this: after a fantastic night's sleep, you walk into the office ready to attack the day. You sit down at your desk ready to go, and your computer starts acting up. You call the help desk, but all IT can do is create a ticket for you and transfer it to another team to help you as soon as possible ...

June 08, 2018

As many IT workers develop greater technology skills and apply them to advance their careers, many digital workers in non-IT departments believe their CIO is out of touch with their technology needs. A Gartner, Inc. survey found that less than 50 percent of workers (both IT and non-IT) believe their CIOs are aware of digital technology problems that affect them ...

June 07, 2018

CIOs of 73% of organizations say the need for speed in digital innovation is putting customer experience at risk, according to an independent global survey of 800 CIOs commissioned by Dynatrace ...

June 05, 2018

Digital Transformation requires more than just the latest technology, it's a mindset that iterative change is on the way and should be embraced. This also requires us to factor in the people and process parts of the equation and find ways to measure the end-user-experience (EUE). One way to do this is to sponsor an Application Performance Monitoring (APM) initiative that can provide visibility to the business, help communicate the progress, and highlight the impacts to the organization. ...