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Remote Work and Digital Transformation Exacerbate Challenges of Managing the Modern Stack

Ed Sawma
Transposit

A growing need for process automation as a result of the confluence of digital transformation initiatives with the remote/hybrid work policies brought on by the pandemic was uncovered by an independent survey of over 500 IT Operations, DevOps, and Site Reliability Engineering (SRE) professionals commissioned by Transposit for its inaugural State of DevOps Automation Report.

More than half of respondents reported that the most common challenge while taking action to resolve an incident was a lack of automation. This influx of stressors means ITOps and software engineering teams — including DevOps and SREs — face increasing complexity in their work, leading to significantly more strain and application downtime unless preventive measures are taken.

Service Incidents and Remediation in a Pandemic-Influenced World

The vast majority of organizations surveyed adopted remote/hybrid work policies and augmented digital transformation initiatives since the start of the pandemic. At the same time many have also been hampered by longer incident resolution, inefficient processes, and lack of automation.

9 out of 10 organizations experienced an increase in service incidents that have affected their customers since the start of the pandemic

The acceleration in digital transformation has resulted in an uptick in service incidents, putting a heavier burden on DevOps, SRE, and IT teams. The survey found that 9 out of 10 organizations experienced an increase in service incidents that have affected their customers since the start of the pandemic, with nearly 60% of respondents observing at least a 20% increase in service incidents or more. Most (93%) said incidents were taking longer to resolve while working remotely and nearly 70% saw an increase in the cost of downtime since the pandemic began.

The survey results indicate these findings stem from a number of variables. First, most organizations still rely on manual, repetitive DevOps processes that cause unnecessary toil.

They're also investing precious resources on building custom in-house tools — which burdens all parts of the software stack — when those resources could instead be used on product innovation or customer service initiatives.

Still, organizations are motivated to get the right tools, processes, and reliable automation in place to keep pace with innovation and decrease mean time to resolution (MTTR). The majority of respondents believed that systematically mining insights from human data (such as archived Slack communications, postmortem interviews, group feedback, etc.) could improve both future incident response and fuel operational excellence.

The Growing Popularity of Site Reliability Engineering

SREs are essential to any organization for solving infrastructure and operational problems — and they're going mainstream. In fact, an overwhelming 94% of respondents increased focus on SRE practices in their organization in the past 12 months and 86% of organizations are planning to hire SREs in the next 12 months. While these numbers are high, they're not surprising when considering how engineering and operations teams are being stretched to the limit. Investments in automation are a natural reaction to these circumstances.

Even if organizations do not have formal SRE roles, ITOps teams are adopting SRE practices. Almost all (98%) of respondents with the "VP/Director/Manager IT Operations" role increased focus on SRE practices in their organization in the past 12 months, while 62.4% of IT Operations respondents plan to expand SRE efforts in 2021.

SREs are critical contributors to incident resolution and help teams work with complex distributed systems at scale. However, nearly 80% of respondents said individuals responsible for reliability engineering are experiencing challenges while trying to solve incidents as they are occurring.

Automation Drivers and Barriers

A key takeaway from the study is that automation is a highly valuable tool for engineering operations. Although the benefits of automation are known, nearly half of respondents reported that their engineering operations are only 26-50% automated. Half (51.9%) cited inadequate documentation of institutional knowledge and existing processes as a barrier, followed by lack of clarity about what to automate (47.3%) and the gaps in share of knowledge (43.8%).

While organizations are still draining resources, time, and money on manual tasks while responding to incidents, they're aware something needs to change. This is evidenced by the 40% of organizations who have one or more full time engineers working on custom in-house tools or bots for automating incident response.

Most commercially available automation solutions use the "automate everything" approach and do not incorporate human-in-the-loop automation, which helps explain this finding. And humans aren't going anywhere: the research revealed that 9 out of 10 respondents believe automation should let humans use their judgment at critical decision points to be more reliable and effective.

One simple yet effective beachhead for moving automation forward is documentation. The marriage of automated process documentation that keeps humans in the loop and availability of actionable data on how to operate systems during and in between incidents can improve (MTTR), enhance service reliability, streamline operations, and lower the cost of downtime.

Ed Sawma is VP of Marketing at Transposit

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Remote Work and Digital Transformation Exacerbate Challenges of Managing the Modern Stack

Ed Sawma
Transposit

A growing need for process automation as a result of the confluence of digital transformation initiatives with the remote/hybrid work policies brought on by the pandemic was uncovered by an independent survey of over 500 IT Operations, DevOps, and Site Reliability Engineering (SRE) professionals commissioned by Transposit for its inaugural State of DevOps Automation Report.

More than half of respondents reported that the most common challenge while taking action to resolve an incident was a lack of automation. This influx of stressors means ITOps and software engineering teams — including DevOps and SREs — face increasing complexity in their work, leading to significantly more strain and application downtime unless preventive measures are taken.

Service Incidents and Remediation in a Pandemic-Influenced World

The vast majority of organizations surveyed adopted remote/hybrid work policies and augmented digital transformation initiatives since the start of the pandemic. At the same time many have also been hampered by longer incident resolution, inefficient processes, and lack of automation.

9 out of 10 organizations experienced an increase in service incidents that have affected their customers since the start of the pandemic

The acceleration in digital transformation has resulted in an uptick in service incidents, putting a heavier burden on DevOps, SRE, and IT teams. The survey found that 9 out of 10 organizations experienced an increase in service incidents that have affected their customers since the start of the pandemic, with nearly 60% of respondents observing at least a 20% increase in service incidents or more. Most (93%) said incidents were taking longer to resolve while working remotely and nearly 70% saw an increase in the cost of downtime since the pandemic began.

The survey results indicate these findings stem from a number of variables. First, most organizations still rely on manual, repetitive DevOps processes that cause unnecessary toil.

They're also investing precious resources on building custom in-house tools — which burdens all parts of the software stack — when those resources could instead be used on product innovation or customer service initiatives.

Still, organizations are motivated to get the right tools, processes, and reliable automation in place to keep pace with innovation and decrease mean time to resolution (MTTR). The majority of respondents believed that systematically mining insights from human data (such as archived Slack communications, postmortem interviews, group feedback, etc.) could improve both future incident response and fuel operational excellence.

The Growing Popularity of Site Reliability Engineering

SREs are essential to any organization for solving infrastructure and operational problems — and they're going mainstream. In fact, an overwhelming 94% of respondents increased focus on SRE practices in their organization in the past 12 months and 86% of organizations are planning to hire SREs in the next 12 months. While these numbers are high, they're not surprising when considering how engineering and operations teams are being stretched to the limit. Investments in automation are a natural reaction to these circumstances.

Even if organizations do not have formal SRE roles, ITOps teams are adopting SRE practices. Almost all (98%) of respondents with the "VP/Director/Manager IT Operations" role increased focus on SRE practices in their organization in the past 12 months, while 62.4% of IT Operations respondents plan to expand SRE efforts in 2021.

SREs are critical contributors to incident resolution and help teams work with complex distributed systems at scale. However, nearly 80% of respondents said individuals responsible for reliability engineering are experiencing challenges while trying to solve incidents as they are occurring.

Automation Drivers and Barriers

A key takeaway from the study is that automation is a highly valuable tool for engineering operations. Although the benefits of automation are known, nearly half of respondents reported that their engineering operations are only 26-50% automated. Half (51.9%) cited inadequate documentation of institutional knowledge and existing processes as a barrier, followed by lack of clarity about what to automate (47.3%) and the gaps in share of knowledge (43.8%).

While organizations are still draining resources, time, and money on manual tasks while responding to incidents, they're aware something needs to change. This is evidenced by the 40% of organizations who have one or more full time engineers working on custom in-house tools or bots for automating incident response.

Most commercially available automation solutions use the "automate everything" approach and do not incorporate human-in-the-loop automation, which helps explain this finding. And humans aren't going anywhere: the research revealed that 9 out of 10 respondents believe automation should let humans use their judgment at critical decision points to be more reliable and effective.

One simple yet effective beachhead for moving automation forward is documentation. The marriage of automated process documentation that keeps humans in the loop and availability of actionable data on how to operate systems during and in between incidents can improve (MTTR), enhance service reliability, streamline operations, and lower the cost of downtime.

Ed Sawma is VP of Marketing at Transposit

Hot Topics

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...