Skip to main content

The Road to Automation in IT Operations-Part 2

Anirban Chatterjee

How do you ensure your journey to automated IT Ops is streamlined and effective, and not just a buzzword? The Road to Automation in IT Operations - Part 1 covered golden rules #1 and #2. Part 2 starts with #3.

3. Define and simplify processes - more intelligence, fewer steps

Similar to the previous point, simply automating complicated or bad processes can lead to more complication and overhead. To avoid this unfortunate outcome, you need to begin by identifying the simplest route between your available input and the goal output, free from the baggage of past decisions and tradeoffs. This fresh assessment will direct exactly what your automation will be doing for you in the future. It is here also that all the work you've done in the previous two steps — standardizing and reducing complexity — really pays off, since it allows you to simplify your processes even more.

By defining the processes that are important to your IT Ops team or workflows, you can make sure that they are simple, efficient and robust. Questions to ask yourself as you do this include:

Is this process actually making work easier and more efficient, or is it causing more problems than it solves?

Is there a step along the way that is taking too long?

What can we do to clear any bottlenecks?

Is there any part of our processes that is being unnecessarily duplicated and can be eliminated (as in the diagram below)?

What intelligence can we put up front, to minimize the number of follow-up steps required?


This stage is absolutely critical because, as automation scales up our operations, it doesn't just multiply what we have been doing well with our manual processes; it also multiplies any problems, glitches or defects. So, it's best to head them off at the pass.

4. Automate wisely - choose the tools that best fit your needs

Our last guiding principle concerns automation itself. This is where we realize the true value of the previous three principles — in short, it's where the magic happens. So, take your time to wisely select the tools you use to implement your automation.

As much as we try to keep everything simple, IT environments will alway remain noisy, complex and fast moving. The key to developing resilient automation is to implement technologies that enable us to deal with these inevitabilities as best we can — and it is here that AIOps shines.

Understand what goals you aim to achieve with your automation — and ask what the AIOps platforms you are considering can do for you from that perspective:

Can they help you with your naming conventions?

Are they suited to working both on-prem and in the cloud?

Can they easily integrate with your existing tools?

Will their communication capabilities adequately support the processes you are aiming to put in place?

Can they add the information to alerts through enrichment?

Do their AI and ML provide you with adequate flexibility and transparency to implement your tribal knowledge?

These and other questions are important to make sure you are properly equipped as you begin your automation journey. And, if you've done a good job in instrumenting, you'll get actionable data from the automated process as it runs, and over time you'll identify areas for your team to further improve and simplify its flow.

Automation is the future of IT Ops, and not just because it makes your IT Ops workflows and teams more efficient. By taking care of mundane, repetitive tasks, it also elevates the human role, freeing up staff to do the more interesting, innovative parts of their job that can really drive your business forward. Following these four guiding principles, will help you safely navigate your automation process.

Hot Topics

The Latest

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

APMdigest's Predictions Series continues with 2026 Data Center Predictions — industry experts offer predictions on how data centers will evolve and impact business in 2026 ...

APMdigest's Predictions Series continues with 2026 DataOps Predictions — industry experts offer predictions on how DataOps and related technologies will evolve and impact business in 2026. Part 2 covers data and data platforms ...

APMdigest's Predictions Series continues with 2026 DataOps Predictions — industry experts offer predictions on how DataOps and related technologies will evolve and impact business in 2026 ...

Industry experts offer predictions on how Cloud will evolve and impact business in 2026. Part 3 covers Multi, Hybrid and Private Cloud ...

Industry experts offer predictions on how Cloud will evolve and impact business in 2026. Part 2 covers FinOps, Sovereign Cloud and more ...

APMdigest's Predictions Series continues with 2026 Cloud Predictions — industry experts offer predictions on how Cloud will evolve and impact business in 2026. Part 1 covers AI's impact on cloud and cloud's impact on AI ...

The Road to Automation in IT Operations-Part 2

Anirban Chatterjee

How do you ensure your journey to automated IT Ops is streamlined and effective, and not just a buzzword? The Road to Automation in IT Operations - Part 1 covered golden rules #1 and #2. Part 2 starts with #3.

3. Define and simplify processes - more intelligence, fewer steps

Similar to the previous point, simply automating complicated or bad processes can lead to more complication and overhead. To avoid this unfortunate outcome, you need to begin by identifying the simplest route between your available input and the goal output, free from the baggage of past decisions and tradeoffs. This fresh assessment will direct exactly what your automation will be doing for you in the future. It is here also that all the work you've done in the previous two steps — standardizing and reducing complexity — really pays off, since it allows you to simplify your processes even more.

By defining the processes that are important to your IT Ops team or workflows, you can make sure that they are simple, efficient and robust. Questions to ask yourself as you do this include:

Is this process actually making work easier and more efficient, or is it causing more problems than it solves?

Is there a step along the way that is taking too long?

What can we do to clear any bottlenecks?

Is there any part of our processes that is being unnecessarily duplicated and can be eliminated (as in the diagram below)?

What intelligence can we put up front, to minimize the number of follow-up steps required?


This stage is absolutely critical because, as automation scales up our operations, it doesn't just multiply what we have been doing well with our manual processes; it also multiplies any problems, glitches or defects. So, it's best to head them off at the pass.

4. Automate wisely - choose the tools that best fit your needs

Our last guiding principle concerns automation itself. This is where we realize the true value of the previous three principles — in short, it's where the magic happens. So, take your time to wisely select the tools you use to implement your automation.

As much as we try to keep everything simple, IT environments will alway remain noisy, complex and fast moving. The key to developing resilient automation is to implement technologies that enable us to deal with these inevitabilities as best we can — and it is here that AIOps shines.

Understand what goals you aim to achieve with your automation — and ask what the AIOps platforms you are considering can do for you from that perspective:

Can they help you with your naming conventions?

Are they suited to working both on-prem and in the cloud?

Can they easily integrate with your existing tools?

Will their communication capabilities adequately support the processes you are aiming to put in place?

Can they add the information to alerts through enrichment?

Do their AI and ML provide you with adequate flexibility and transparency to implement your tribal knowledge?

These and other questions are important to make sure you are properly equipped as you begin your automation journey. And, if you've done a good job in instrumenting, you'll get actionable data from the automated process as it runs, and over time you'll identify areas for your team to further improve and simplify its flow.

Automation is the future of IT Ops, and not just because it makes your IT Ops workflows and teams more efficient. By taking care of mundane, repetitive tasks, it also elevates the human role, freeing up staff to do the more interesting, innovative parts of their job that can really drive your business forward. Following these four guiding principles, will help you safely navigate your automation process.

Hot Topics

The Latest

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

APMdigest's Predictions Series continues with 2026 Data Center Predictions — industry experts offer predictions on how data centers will evolve and impact business in 2026 ...

APMdigest's Predictions Series continues with 2026 DataOps Predictions — industry experts offer predictions on how DataOps and related technologies will evolve and impact business in 2026. Part 2 covers data and data platforms ...

APMdigest's Predictions Series continues with 2026 DataOps Predictions — industry experts offer predictions on how DataOps and related technologies will evolve and impact business in 2026 ...

Industry experts offer predictions on how Cloud will evolve and impact business in 2026. Part 3 covers Multi, Hybrid and Private Cloud ...

Industry experts offer predictions on how Cloud will evolve and impact business in 2026. Part 2 covers FinOps, Sovereign Cloud and more ...

APMdigest's Predictions Series continues with 2026 Cloud Predictions — industry experts offer predictions on how Cloud will evolve and impact business in 2026. Part 1 covers AI's impact on cloud and cloud's impact on AI ...