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DevOps and AIOps: Developing A New Culture

Will Cappelli
Moogsoft

In today's competitive landscape, businesses must have the ability and process in place to face new challenges and find ways to successfully tackle them in a proactive manner. For years, this has been placed on the shoulders of DevOps teams within IT departments. But, as automation takes over manual intervention to increase speed and efficiency, these teams are facing what we know as IT digitization. How has this changed the way companies function over the years, and what do we have to look forward to in the coming years?

While this all began with the introduction of the Internet in the late 90s, it took a turn after the economic crash in 2007. At this time, automation became the main driver of innovation and a key focus to support revenue. Now, in today's landscape, if automation is not a top concern for IT teams and doesn't sit at the heart of IT strategies, companies risk losing their competitive edge, ultimately resulting in failure.

There has also been an increase in demand over the last decade for IT to have more of a proactive approach to technological pivots, and the pressure to respond quickly has grown. Because of this, development teams have taken the lead to change the role of the IT department within the business by positioning IT as a strategic revenue driver. DevOps within IT departments has also come a long way. Specifically, there are three major changes within these teams worth spotlighting.

For starters, departments were adopting agile development practices to speed up the delivery of creation changes into the production environment. Then, DevOps introduced automation into change delivery.

The final step after accepting the two previous changes, is the alignment of development and operations teams. In the past, DevOps and operations have worked separately: DevOps managed the development, while operations handled the environment. But, as automation takes a more prominent role in companies, it becomes essential that these two teams align. It's no longer feasible to have them in two siloed playing fields.

Joining these teams hasn't been easy. There's been resistance in aligning efforts and daily communication between the two continues to be an issue. It has been a challenge for IT operations to interact with the development team so closely. DevOps has struggled to see the value of managing the production environment, as they often believe the task to be low-level and straightforward. In addition, the perspective that DevOps has on infrastructure is narrow-minded and they're typically only invested in direct projects that relate to them. What this logic fails to address is that fact that no application is completely isolated. Every application is living in an environment of shared resources that all influence each other. Unfortunately, because of these lack of understandings, DevOps and operations remain largely siloed. The collaboration that needs to happen hasn't yet happened.

So, what role does automation have in this struggling relationship? For starters, we know that in order for a new module or application to move from development environment to the real-world production environment, certain steps need to be taken. In the past, these steps have been completed manually. But, with today's automation, humans are taken completely out of the equation, presenting an opportunity for AIOps technologies to execute the process from development to production much faster, smarter, and more efficiently.

With the proper tools in place, algorithms can take data from the production environment, understand the disposition of resources within that environment, and ensure the new application or change being delivered has enough of the right resources to support itself, rather than pulling resources from other applications. This is feasible with automation.

There are two stages to the automation process.

The first stage is automating the path from development to production. This could include AIOps features like pattern discovery, anomaly detection, and causal analysis. In this case, however, AIOps features are applied when allocating resources and understanding when new will be delivered into the production environment.

The second stage of automation comes into play when there is a new element in the production environment. What started as three changes a week has now reached three thousand because of the number being delivered into the environment through automation. Additionally, automation causes an increase in the modularity, ephemeralness, and IT systems are more distributed, making it nearly impossible to predict what kind of impact a new change will have on a production environment. With the proper AIOps technology in place, it becomes easier to foresee these implications.

The amount of data in today's business landscape only continues to increase. Without an analytical or diagnostic tool, development and operations teams are finding it nearly impossible to comprehend the performance of the production environment and to action events. This is when the role of AIOps becomes incredibly important and can save teams from severe consequences. Without the proper automation tools and strategy, companies will collapse as they become increasingly blind to system performance.

Will Cappelli is Field CTO at Moogsoft

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DevOps and AIOps: Developing A New Culture

Will Cappelli
Moogsoft

In today's competitive landscape, businesses must have the ability and process in place to face new challenges and find ways to successfully tackle them in a proactive manner. For years, this has been placed on the shoulders of DevOps teams within IT departments. But, as automation takes over manual intervention to increase speed and efficiency, these teams are facing what we know as IT digitization. How has this changed the way companies function over the years, and what do we have to look forward to in the coming years?

While this all began with the introduction of the Internet in the late 90s, it took a turn after the economic crash in 2007. At this time, automation became the main driver of innovation and a key focus to support revenue. Now, in today's landscape, if automation is not a top concern for IT teams and doesn't sit at the heart of IT strategies, companies risk losing their competitive edge, ultimately resulting in failure.

There has also been an increase in demand over the last decade for IT to have more of a proactive approach to technological pivots, and the pressure to respond quickly has grown. Because of this, development teams have taken the lead to change the role of the IT department within the business by positioning IT as a strategic revenue driver. DevOps within IT departments has also come a long way. Specifically, there are three major changes within these teams worth spotlighting.

For starters, departments were adopting agile development practices to speed up the delivery of creation changes into the production environment. Then, DevOps introduced automation into change delivery.

The final step after accepting the two previous changes, is the alignment of development and operations teams. In the past, DevOps and operations have worked separately: DevOps managed the development, while operations handled the environment. But, as automation takes a more prominent role in companies, it becomes essential that these two teams align. It's no longer feasible to have them in two siloed playing fields.

Joining these teams hasn't been easy. There's been resistance in aligning efforts and daily communication between the two continues to be an issue. It has been a challenge for IT operations to interact with the development team so closely. DevOps has struggled to see the value of managing the production environment, as they often believe the task to be low-level and straightforward. In addition, the perspective that DevOps has on infrastructure is narrow-minded and they're typically only invested in direct projects that relate to them. What this logic fails to address is that fact that no application is completely isolated. Every application is living in an environment of shared resources that all influence each other. Unfortunately, because of these lack of understandings, DevOps and operations remain largely siloed. The collaboration that needs to happen hasn't yet happened.

So, what role does automation have in this struggling relationship? For starters, we know that in order for a new module or application to move from development environment to the real-world production environment, certain steps need to be taken. In the past, these steps have been completed manually. But, with today's automation, humans are taken completely out of the equation, presenting an opportunity for AIOps technologies to execute the process from development to production much faster, smarter, and more efficiently.

With the proper tools in place, algorithms can take data from the production environment, understand the disposition of resources within that environment, and ensure the new application or change being delivered has enough of the right resources to support itself, rather than pulling resources from other applications. This is feasible with automation.

There are two stages to the automation process.

The first stage is automating the path from development to production. This could include AIOps features like pattern discovery, anomaly detection, and causal analysis. In this case, however, AIOps features are applied when allocating resources and understanding when new will be delivered into the production environment.

The second stage of automation comes into play when there is a new element in the production environment. What started as three changes a week has now reached three thousand because of the number being delivered into the environment through automation. Additionally, automation causes an increase in the modularity, ephemeralness, and IT systems are more distributed, making it nearly impossible to predict what kind of impact a new change will have on a production environment. With the proper AIOps technology in place, it becomes easier to foresee these implications.

The amount of data in today's business landscape only continues to increase. Without an analytical or diagnostic tool, development and operations teams are finding it nearly impossible to comprehend the performance of the production environment and to action events. This is when the role of AIOps becomes incredibly important and can save teams from severe consequences. Without the proper automation tools and strategy, companies will collapse as they become increasingly blind to system performance.

Will Cappelli is Field CTO at Moogsoft

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...