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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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...