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How ITOps Can Adapt to the New Normal - Part 2

APMdigest posed the following question to the IT Operations community: How should ITOps adapt to the new normal? In response, industry experts offered their best recommendations for how ITOps can adapt to this new remote work environment. Part 2 covers communication and collaboration.

Start with: How ITOps Can Adapt to the New Normal - Part 1

VIRTUAL TEAM CULTURE

In order to adapt to the new normal, ITOps leaders should focus on fortifying a virtual team culture that fosters an environment for open communication. In a remote and digital world, it's imperative that teams communicate effectively.
Kalyan Ramanathan
VP of Product Marketing, Sumo Logic

ONLINE-FIRST CULTURE

Our office culture placed a high value on in-person interactions, so office budgets were targeting an inviting atmosphere. During the overnight change to work-from-home, we worried that we'd lose our office culture, so tried to adapt our in-person office culture to online forums. We held video conferences with an effort to create a facsimile experience — but it turns out it was not possible. The online experience works best where there is one voice at a time. We made a mistake in attempting to adapt our in-person office culture, and it's just not fully reproducible. This mistake led to trial and error, and we realized that we couldn't recapture what we had in-person, so instead had to create a new online-first culture. We are still working on this. So far we found ways to balance communication, using tools like company messaging apps and video conferencing. In ways, we now have better company-wide communication. The communication limit of one voice at a time allowed us to condense information into numerical goals, for instance we have breakout general gathering video conversations for general chats.
Stephen Blum
CTO and Co-Founder, PubNub

TEAM ALIGNMENT

In order to adapt to the new normal, ITOps and DevOps leaders should onboard a streamlined process that ensures team alignment.
Kalyan Ramanathan
VP of Product Marketing, Sumo Logic

SET NUMERIC GOALS

We found that focusing on communication using numeric goals and progress towards them helped. Numeric goals are easy to communicate visually (bar graphs) and explain in a short sentence.
Stephen Blum
CTO and Co-Founder, PubNub

PRIORITIZE AND DELEGATE

In order to adapt to the new normal, ITOps and DevOps leaders should learn how to prioritize and delegate correctly.
Kalyan Ramanathan
VP of Product Marketing, Sumo Logic

CROSS-ORGANIZATIONAL VISIBILITY

The need for cross-organizational visibility is more critical now than ever before. IT teams can often be siloed — and working from home can make that worse. To find gaps in IT operation hand-offs, track productivity (response to tickets, support workloads by operator, development release cycles, etc.) over time to see if there has been a major change (up or down) in workloads and engagement. Examine your teams' workflows and identify places where tools sprawl might be creating delays due to mental switching costs; streamline through integration and/or aggregating monitoring, change and topology data into a single pane of glass. IT Ops teams will have less competing noise, better understanding of the health of their IT Operations and the right tools to help them.
Assaf Resnick
CEO, BigPanda

ASYNCHRONOUS COMMUNICATION

Ever since the work-from-home mandates started, ad hoc conversations and resources that were already scattered are often going into a black hole. For many engineers, it's become overwhelming to keep up with all of the communications when working out of the office. To succeed from home, teams need to maintain real-time, aggregated communication streams.
Tina Huang
Founder and CTO, Transposit

High stakes and urgent (synchronous) communication are especially challenging during Covid. I vote that teams invest in automation and monitoring that enables employees to move fast — coordinating asynchronously and with guardrails built in — yet recover quickly when things go wrong.
Mohit Tiwari
CEO and Co-Founder, Symmetry Systems

MAINTAIN FEEDBACK LOOP

Knowing that feedback is a key element to the culture of your ITOps teams, it is critical to address the lack of in-person feedback in a remote culture. Creating several, smaller touch points is critical to keeping this feedback loop going without creating more arduous meetings.
Collin Mariner
Analyst, Gigaom

OFFICE HOURS

We have seen success by scheduling 30 minutes near the end of each day for what we call office hours. We publish our office hours to the entire organization and encourage anyone to join. This allows us to be available to the organization for asks that typically come in person, as well as receive more real-time feedback.
Collin Mariner
Analyst, Gigaom

MAKE A CONNECTION

The most prepared IT leaders will develop new programs for engaging staff that may feel disconnected.
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

COLLABORATION TOOLS

As remote work has become a mainstay of doing business, ITOps should work with their company's CTO and CSO to offer the right mix of collaboration tools for employees. Remote work will continue to add stress for employees, and it's the company's job to provide a framework of respect for the home situations of their employees and the tools/resources they need to be successful, such as video conferencing platforms, Google Drive, and notification systems. ITOps teams should regularly evaluate the performance of their organization's communication and collaboration tools to ensure employees can maintain their productivity levels while working remotely.
Marc Linster
CTO, EDB

Prior to the COVID-19 crisis, few enterprises had made the leap forward to remote working. When the pandemic hit, many companies transitioned to a fully remote work environment, accelerating the trend many years ahead in a matter of months. ITOps suddenly needed to fight an uphill battle, supporting a remote workforce of tens, hundreds, or even thousands of people. Setting up the proper infrastructure, in terms of tools and processes, is the number one priority, ensuring that in the short term the company survives and long term that it thrives. New tools must be procured, which inherently are built to support remote collaboration, particularly for mission critical roles such as SREs.
Odysseas Lamtzidis
Developer Relations, Netdata

Go to: How ITOps Can Adapt to the New Normal - Part 3

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

How ITOps Can Adapt to the New Normal - Part 2

APMdigest posed the following question to the IT Operations community: How should ITOps adapt to the new normal? In response, industry experts offered their best recommendations for how ITOps can adapt to this new remote work environment. Part 2 covers communication and collaboration.

Start with: How ITOps Can Adapt to the New Normal - Part 1

VIRTUAL TEAM CULTURE

In order to adapt to the new normal, ITOps leaders should focus on fortifying a virtual team culture that fosters an environment for open communication. In a remote and digital world, it's imperative that teams communicate effectively.
Kalyan Ramanathan
VP of Product Marketing, Sumo Logic

ONLINE-FIRST CULTURE

Our office culture placed a high value on in-person interactions, so office budgets were targeting an inviting atmosphere. During the overnight change to work-from-home, we worried that we'd lose our office culture, so tried to adapt our in-person office culture to online forums. We held video conferences with an effort to create a facsimile experience — but it turns out it was not possible. The online experience works best where there is one voice at a time. We made a mistake in attempting to adapt our in-person office culture, and it's just not fully reproducible. This mistake led to trial and error, and we realized that we couldn't recapture what we had in-person, so instead had to create a new online-first culture. We are still working on this. So far we found ways to balance communication, using tools like company messaging apps and video conferencing. In ways, we now have better company-wide communication. The communication limit of one voice at a time allowed us to condense information into numerical goals, for instance we have breakout general gathering video conversations for general chats.
Stephen Blum
CTO and Co-Founder, PubNub

TEAM ALIGNMENT

In order to adapt to the new normal, ITOps and DevOps leaders should onboard a streamlined process that ensures team alignment.
Kalyan Ramanathan
VP of Product Marketing, Sumo Logic

SET NUMERIC GOALS

We found that focusing on communication using numeric goals and progress towards them helped. Numeric goals are easy to communicate visually (bar graphs) and explain in a short sentence.
Stephen Blum
CTO and Co-Founder, PubNub

PRIORITIZE AND DELEGATE

In order to adapt to the new normal, ITOps and DevOps leaders should learn how to prioritize and delegate correctly.
Kalyan Ramanathan
VP of Product Marketing, Sumo Logic

CROSS-ORGANIZATIONAL VISIBILITY

The need for cross-organizational visibility is more critical now than ever before. IT teams can often be siloed — and working from home can make that worse. To find gaps in IT operation hand-offs, track productivity (response to tickets, support workloads by operator, development release cycles, etc.) over time to see if there has been a major change (up or down) in workloads and engagement. Examine your teams' workflows and identify places where tools sprawl might be creating delays due to mental switching costs; streamline through integration and/or aggregating monitoring, change and topology data into a single pane of glass. IT Ops teams will have less competing noise, better understanding of the health of their IT Operations and the right tools to help them.
Assaf Resnick
CEO, BigPanda

ASYNCHRONOUS COMMUNICATION

Ever since the work-from-home mandates started, ad hoc conversations and resources that were already scattered are often going into a black hole. For many engineers, it's become overwhelming to keep up with all of the communications when working out of the office. To succeed from home, teams need to maintain real-time, aggregated communication streams.
Tina Huang
Founder and CTO, Transposit

High stakes and urgent (synchronous) communication are especially challenging during Covid. I vote that teams invest in automation and monitoring that enables employees to move fast — coordinating asynchronously and with guardrails built in — yet recover quickly when things go wrong.
Mohit Tiwari
CEO and Co-Founder, Symmetry Systems

MAINTAIN FEEDBACK LOOP

Knowing that feedback is a key element to the culture of your ITOps teams, it is critical to address the lack of in-person feedback in a remote culture. Creating several, smaller touch points is critical to keeping this feedback loop going without creating more arduous meetings.
Collin Mariner
Analyst, Gigaom

OFFICE HOURS

We have seen success by scheduling 30 minutes near the end of each day for what we call office hours. We publish our office hours to the entire organization and encourage anyone to join. This allows us to be available to the organization for asks that typically come in person, as well as receive more real-time feedback.
Collin Mariner
Analyst, Gigaom

MAKE A CONNECTION

The most prepared IT leaders will develop new programs for engaging staff that may feel disconnected.
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

COLLABORATION TOOLS

As remote work has become a mainstay of doing business, ITOps should work with their company's CTO and CSO to offer the right mix of collaboration tools for employees. Remote work will continue to add stress for employees, and it's the company's job to provide a framework of respect for the home situations of their employees and the tools/resources they need to be successful, such as video conferencing platforms, Google Drive, and notification systems. ITOps teams should regularly evaluate the performance of their organization's communication and collaboration tools to ensure employees can maintain their productivity levels while working remotely.
Marc Linster
CTO, EDB

Prior to the COVID-19 crisis, few enterprises had made the leap forward to remote working. When the pandemic hit, many companies transitioned to a fully remote work environment, accelerating the trend many years ahead in a matter of months. ITOps suddenly needed to fight an uphill battle, supporting a remote workforce of tens, hundreds, or even thousands of people. Setting up the proper infrastructure, in terms of tools and processes, is the number one priority, ensuring that in the short term the company survives and long term that it thrives. New tools must be procured, which inherently are built to support remote collaboration, particularly for mission critical roles such as SREs.
Odysseas Lamtzidis
Developer Relations, Netdata

Go to: How ITOps Can Adapt to the New Normal - Part 3

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.