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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

For all the attention AI receives in corporate slide decks and strategic roadmaps, many businesses are struggling to translate that ambition into something that holds up at scale. At least, that's the picture that emerged from a recent Forrester study commissioned by Tines ...

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

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