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How ITOps Can Adapt to the New Normal - Part 1

The "New Normal" in the IT world — the fact that most IT Operations personnel work from home (WFH) now — is here to stay. What started out as a reaction to the COVID-19 pandemic is now a way of life. Many experts agree that IT teams will not be going back to the office any time soon, even if the public health concerns are abated.

While working remotely from home started out as a necessity, and also offers some advantages, it also presents challenges to ITOps teams around the world. You could call this a revolution in the way we work, and with revolution comes upheaval. Any issues that arise must be dealt with sooner than later, if a company intends to survive and thrive in the new normal.

The most important question is: How should ITOps adapt to the new normal? And that is the question APMdigest posed to the IT Operations community. In response, ITOps industry experts — from analysts and consultants to the top vendors — offered their best recommendations for how ITOps can adapt to this new environment. These recommendations are not just talking points. Many of these tips are thoughtful, insightful, practical and hopefully ultimately helpful to you and your ITOps team.

This extensive list of ideas will be posted in five parts over the next five days, starting with Part 1, covering ways to look at the big picture.

HOUSE CLEANING

Your workforce uses their machines differently now that they're working from home and your network environment has endured a lot of changes to support them. Now, it's time to take a collaborative approach to do some "house cleaning" of your networks and systems. Improve efficiency by auditing logs to identify unused or rarely used apps, surveying employees about program use, and decommission old VPNs and other programs as needed. A clean house is a happy house, so decommission programs as needed and your team will soon enjoy working from home in a less cluttered environment.
Olivia Montgomery
Senior Content Analyst, Capterra

ITOPS MATURITY ASSESSMENT

Make sure you do a proper assessment of your ITOps situation and that you can survive going forward. A proper ITOps maturity assessment and a game plan is important more than ever.
Andy Thurai
Principal, The Field CTO

Read Andy Thurai's recent blog on APMdigest: How COVID Pandemic is Making IT Operations Analyst Jobs More Stressful

RE-ASSESS PROCESSES AND WORKFLOWS

Work from home is here to stay well into 2021. The most prepared IT leaders will start now to reassess processes and workflows.
Sean McDermott
CEO, Windward Consulting Group

Listen to the AI+ITOPS Podcast with special guest Sean McDermott

Read Windward Consulting's New Report: 2020 COVID-19 IT Economic Impact Study

Be clear about workflows, escalations, lines of communication/collaboration — make sure those are all still working. Don't assume that just because it worked before COVID, it works now. Be prepared to experiment and tweak things to work in the new model. Even if IT teams are fine, this extends to how they interact with other teams across the organization.
Assaf Resnick
CEO, BigPanda

Watch On-Demand: The IT Ops Virtual Summit

Modern ITOps are particularly well enabled to weather the COVID crisis. Almost by definition, well run systems are highly automated, instrumented, and resilient. ITOps should be able to do their work very effectively even during this crisis. If you are not, then it's time to re-assess what in the environment needs to be modernized to achieve this goal. This could be any of the people, platform, or processes that are being used.
Juan Orlandini
Chief Architect, Insight Enterprises

Read Juan Orlandini's recent blog on APMdigest: IT Modernization Jumpstarts Business Transformation

PLAN LONG-TERM

Most importantly, assume the remote work/work from home situation is going to stay for a while and not temporary. Make plans accordingly. If it reverts back, great. If not, you planned for it. The second time around it won't be good to make excuses to the customer.
Andy Thurai
Principal, The Field CTO

Check out the the AI+ITOPS Podcast hosted by Andy Thurai.

SUSTAINABILITY

Given remote work is expected to remain high, there needs to be a focus on long-term sustainability. This means having the ability to secure and manage large populations of remote devices without overtaxing IT resources. In order to achieve this, endpoints need to be resilient, self-aware, and capable of self-healing to minimize the need for IT intervention.
Steven Spadaccini
VP, Sales Engineering, Absolute Software

FUTURE-PROOF BUYING DECISIONS

In order to adapt to the new normal, ITOps Teams need to stop make their buying decisions based on what the organization looks like now, but instead focus their efforts in trying to properly plan for the future. This includes keeping in mind the current shift in WFH and BYOD computing, but also trying to account for growing regulation such as GDPR and CCPA. It is entirely possible that single consolidated cloud environments will become dozens of distributed ones in the future. It is equally likely that network path visibility completely disappears as 5G becomes ubiquitous. ITOps Teams need to think about what can be done today in order to future proof buying decisions for trends that may significantly shift in the future.
Vince Berk
VP, Chief Architect Security, Riverbed

PLAN POST-PANDEMIC

A year ago, who could have imagined the impact COVID would cause, including offices being closed, events like the Olympics being postponed and the largest shift ever in where most of us are working now — from home. No one will question the impact the pandemic has had on organizations, forcing a rapid and amazing shift in how business gets done. Those faring very well in the pandemic are those that have chosen to innovate through the pandemic to be ready when the pandemic is over. In 2021, enterprise organizations will focus on how to drive new services and capabilities in a much more digitally transformed world. Those that are waiting for everything to go back to pre-COVID times will no longer be in business.
Mehdi Daoudi
CEO and Founder, Catchpoint

Check back tomorrow for:

Go to: How ITOps Can Adapt to the New Normal - Part 2

Hot Topics

The Latest

Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

Consider a single order represented across order-management, execution, and settlement systems. Each database, message broker, and application may be online and processing its own records correctly. Yet the workflow has failed if related events arrive on different clocks, rely on inconsistent state, or cannot be reconciled before an operational decision must be made ...

AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

How ITOps Can Adapt to the New Normal - Part 1

The "New Normal" in the IT world — the fact that most IT Operations personnel work from home (WFH) now — is here to stay. What started out as a reaction to the COVID-19 pandemic is now a way of life. Many experts agree that IT teams will not be going back to the office any time soon, even if the public health concerns are abated.

While working remotely from home started out as a necessity, and also offers some advantages, it also presents challenges to ITOps teams around the world. You could call this a revolution in the way we work, and with revolution comes upheaval. Any issues that arise must be dealt with sooner than later, if a company intends to survive and thrive in the new normal.

The most important question is: How should ITOps adapt to the new normal? And that is the question APMdigest posed to the IT Operations community. In response, ITOps industry experts — from analysts and consultants to the top vendors — offered their best recommendations for how ITOps can adapt to this new environment. These recommendations are not just talking points. Many of these tips are thoughtful, insightful, practical and hopefully ultimately helpful to you and your ITOps team.

This extensive list of ideas will be posted in five parts over the next five days, starting with Part 1, covering ways to look at the big picture.

HOUSE CLEANING

Your workforce uses their machines differently now that they're working from home and your network environment has endured a lot of changes to support them. Now, it's time to take a collaborative approach to do some "house cleaning" of your networks and systems. Improve efficiency by auditing logs to identify unused or rarely used apps, surveying employees about program use, and decommission old VPNs and other programs as needed. A clean house is a happy house, so decommission programs as needed and your team will soon enjoy working from home in a less cluttered environment.
Olivia Montgomery
Senior Content Analyst, Capterra

ITOPS MATURITY ASSESSMENT

Make sure you do a proper assessment of your ITOps situation and that you can survive going forward. A proper ITOps maturity assessment and a game plan is important more than ever.
Andy Thurai
Principal, The Field CTO

Read Andy Thurai's recent blog on APMdigest: How COVID Pandemic is Making IT Operations Analyst Jobs More Stressful

RE-ASSESS PROCESSES AND WORKFLOWS

Work from home is here to stay well into 2021. The most prepared IT leaders will start now to reassess processes and workflows.
Sean McDermott
CEO, Windward Consulting Group

Listen to the AI+ITOPS Podcast with special guest Sean McDermott

Read Windward Consulting's New Report: 2020 COVID-19 IT Economic Impact Study

Be clear about workflows, escalations, lines of communication/collaboration — make sure those are all still working. Don't assume that just because it worked before COVID, it works now. Be prepared to experiment and tweak things to work in the new model. Even if IT teams are fine, this extends to how they interact with other teams across the organization.
Assaf Resnick
CEO, BigPanda

Watch On-Demand: The IT Ops Virtual Summit

Modern ITOps are particularly well enabled to weather the COVID crisis. Almost by definition, well run systems are highly automated, instrumented, and resilient. ITOps should be able to do their work very effectively even during this crisis. If you are not, then it's time to re-assess what in the environment needs to be modernized to achieve this goal. This could be any of the people, platform, or processes that are being used.
Juan Orlandini
Chief Architect, Insight Enterprises

Read Juan Orlandini's recent blog on APMdigest: IT Modernization Jumpstarts Business Transformation

PLAN LONG-TERM

Most importantly, assume the remote work/work from home situation is going to stay for a while and not temporary. Make plans accordingly. If it reverts back, great. If not, you planned for it. The second time around it won't be good to make excuses to the customer.
Andy Thurai
Principal, The Field CTO

Check out the the AI+ITOPS Podcast hosted by Andy Thurai.

SUSTAINABILITY

Given remote work is expected to remain high, there needs to be a focus on long-term sustainability. This means having the ability to secure and manage large populations of remote devices without overtaxing IT resources. In order to achieve this, endpoints need to be resilient, self-aware, and capable of self-healing to minimize the need for IT intervention.
Steven Spadaccini
VP, Sales Engineering, Absolute Software

FUTURE-PROOF BUYING DECISIONS

In order to adapt to the new normal, ITOps Teams need to stop make their buying decisions based on what the organization looks like now, but instead focus their efforts in trying to properly plan for the future. This includes keeping in mind the current shift in WFH and BYOD computing, but also trying to account for growing regulation such as GDPR and CCPA. It is entirely possible that single consolidated cloud environments will become dozens of distributed ones in the future. It is equally likely that network path visibility completely disappears as 5G becomes ubiquitous. ITOps Teams need to think about what can be done today in order to future proof buying decisions for trends that may significantly shift in the future.
Vince Berk
VP, Chief Architect Security, Riverbed

PLAN POST-PANDEMIC

A year ago, who could have imagined the impact COVID would cause, including offices being closed, events like the Olympics being postponed and the largest shift ever in where most of us are working now — from home. No one will question the impact the pandemic has had on organizations, forcing a rapid and amazing shift in how business gets done. Those faring very well in the pandemic are those that have chosen to innovate through the pandemic to be ready when the pandemic is over. In 2021, enterprise organizations will focus on how to drive new services and capabilities in a much more digitally transformed world. Those that are waiting for everything to go back to pre-COVID times will no longer be in business.
Mehdi Daoudi
CEO and Founder, Catchpoint

Check back tomorrow for:

Go to: How ITOps Can Adapt to the New Normal - Part 2

Hot Topics

The Latest

Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

Consider a single order represented across order-management, execution, and settlement systems. Each database, message broker, and application may be online and processing its own records correctly. Yet the workflow has failed if related events arrive on different clocks, rely on inconsistent state, or cannot be reconciled before an operational decision must be made ...

AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...