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The State of Digital Operations in Australia: Digital Disconnect

Eric Sigler

More than three quarters of Australian consumers will leave a digital (website or mobile) app or service in one minute or less if it is unresponsive or slow, according to a new survey from PagerDuty.

The State of Digital Operations Report highlighted a disconnect between consumers’ high expectations of their digital service experience and how quickly IT organizations can adapt to the rise of digital service offerings and resolve customer-impacting incidents.


The survey also indicated that ensuring excellent digital experiences is no longer just an imperative for the developers and IT operations teams responsible for managing infrastructure. Digital incidents now have a direct impact on the business, with nearly one third of respondents reporting that one hour of IT downtime costs their companies between $500,000 to more than $10 million AUD. Of the IT organizations that felt prepared to effectively support digital offerings, incident management reigned supreme, with DevOps, continuous integration, agile development and ChatOps identified as other common practices.

The report findings, based on a two-part survey of over 200 IT personnel in development and operations as well as over 300 consumers in Australia, revealed that resolving consumer-impacting incidents takes IT teams at least five times longer than the amount of time consumers are willing to wait for a service that isn’t performing properly — increasing the chances that customers and revenue are lost during downtime. Nearly all (90 percent) of the IT professionals (e.g., developers, DevOps and IT operations teams) surveyed cited that IT operations is most responsible for ensuring seamless delivery of their organization’s digital offerings, ultimately holding the key to consumers’ brand loyalty and business revenue.

“Digital services provide an essential way for consumers to complete everyday tasks and as a result, expectations for an always-on, user-friendly digital experience have reached new heights,” said Jennifer Tejada, CEO, PagerDuty. “To meet this demand and remain competitive, businesses must integrate machine and human intelligence with incident response best practices to enable effective business-wide response, leveraging the excellence of digital operations management. The alternative could mean a loss of customers and millions in revenue.”

In the survey, digital services were defined as those offered through digital interfaces, such as computers, tablets and smartphones, spanning both professional services, as well as those used for personal reasons. These services have become more prevalent in the lives of Australian consumers — Deloitte Access Economics (2015) estimates that the broader digital economy will grow to contribute as much as $139 billion to the economy by 2020 (7.3% of GDP).

The Business Impact of IT Incidents

IT incidents impact more than IT organizations. The report found that IT incidents also have a direct impact on stakeholders in the lines of business:

■ Nearly one third of respondents (33.4 percent) report that one hour of IT downtime costs their companies between $500,000 to more than $10 million AUD.

■ The non-IT departments most impacted by IT Operations issues are sales, research and development, accounting and finance, marketing, customer service and production.

■ Despite IT incidents becoming increasingly tied to business success and the bottom line, only 21.4 percent of organizations prioritize informing business stakeholders after a disruption occurs.

■ Less than half of organizations (44.3 percent) contact affected customers or users.

The IT Readiness Disconnect

The survey of over 200 IT personnel in development and operations found that while a majority feel confident that their organization is prepared to support digital services, more than half are still experiencing customer-impacting incidents (slowness or downtime) at least one or more times per week.

■ 71.9 percent of respondents feel confident that their IT organization is prepared to support digital services.

■ 56.2 percent of respondents noted that their organizations are still experiencing customer-impacting incidents (slowness or downtime) at least one or more times a week.

The rise in digital service offerings has also created operations challenges for IT organizations such as increased difficulty in capacity planning (e.g. increase in volume of data), increased complexity resulting in more cognitive load and an increase in number of tools. IT organizations also face reduced budgets, lack of full stack visibility, lack of contextual data when troubleshooting, siloed IT functions limiting collaboration and alert fatigue.

The Cure for the Common Digital Disruption Challenge

Many IT professionals are adopting modern development methods and tools to address the challenges of digital operations and consumer expectations:

■ According to IT organizations, incident management reigns supreme among those who feel prepared to effectively support digital offerings, with DevOps, continuous integration, agile development and ChatOps identified as other common practices.

■ Monitoring tools also play a critical role in helping organizations support digital service offerings effectively. Security monitoring is the tool or service most widely used among organizations who feel they’re equipped to support digital services, followed by application monitoring, infrastructure monitoring and IT operations analytics.

“Today’s IT teams are faced with more complex architectures that result in a number of new operational and technological challenges. The number of tools used, coupled with the increase in volume of data in play, makes it even more difficult to ensure a consistent digital experience for customers,” said David Wall, Managing Director and Country Manager for APAC, PagerDuty. “As organizations bridge between IT performance and a superior digital experience, their IT teams and lines of business must be equipped with digital operations tools and services that enable even more visibility into the digital stack.”

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The State of Digital Operations in Australia: Digital Disconnect

Eric Sigler

More than three quarters of Australian consumers will leave a digital (website or mobile) app or service in one minute or less if it is unresponsive or slow, according to a new survey from PagerDuty.

The State of Digital Operations Report highlighted a disconnect between consumers’ high expectations of their digital service experience and how quickly IT organizations can adapt to the rise of digital service offerings and resolve customer-impacting incidents.


The survey also indicated that ensuring excellent digital experiences is no longer just an imperative for the developers and IT operations teams responsible for managing infrastructure. Digital incidents now have a direct impact on the business, with nearly one third of respondents reporting that one hour of IT downtime costs their companies between $500,000 to more than $10 million AUD. Of the IT organizations that felt prepared to effectively support digital offerings, incident management reigned supreme, with DevOps, continuous integration, agile development and ChatOps identified as other common practices.

The report findings, based on a two-part survey of over 200 IT personnel in development and operations as well as over 300 consumers in Australia, revealed that resolving consumer-impacting incidents takes IT teams at least five times longer than the amount of time consumers are willing to wait for a service that isn’t performing properly — increasing the chances that customers and revenue are lost during downtime. Nearly all (90 percent) of the IT professionals (e.g., developers, DevOps and IT operations teams) surveyed cited that IT operations is most responsible for ensuring seamless delivery of their organization’s digital offerings, ultimately holding the key to consumers’ brand loyalty and business revenue.

“Digital services provide an essential way for consumers to complete everyday tasks and as a result, expectations for an always-on, user-friendly digital experience have reached new heights,” said Jennifer Tejada, CEO, PagerDuty. “To meet this demand and remain competitive, businesses must integrate machine and human intelligence with incident response best practices to enable effective business-wide response, leveraging the excellence of digital operations management. The alternative could mean a loss of customers and millions in revenue.”

In the survey, digital services were defined as those offered through digital interfaces, such as computers, tablets and smartphones, spanning both professional services, as well as those used for personal reasons. These services have become more prevalent in the lives of Australian consumers — Deloitte Access Economics (2015) estimates that the broader digital economy will grow to contribute as much as $139 billion to the economy by 2020 (7.3% of GDP).

The Business Impact of IT Incidents

IT incidents impact more than IT organizations. The report found that IT incidents also have a direct impact on stakeholders in the lines of business:

■ Nearly one third of respondents (33.4 percent) report that one hour of IT downtime costs their companies between $500,000 to more than $10 million AUD.

■ The non-IT departments most impacted by IT Operations issues are sales, research and development, accounting and finance, marketing, customer service and production.

■ Despite IT incidents becoming increasingly tied to business success and the bottom line, only 21.4 percent of organizations prioritize informing business stakeholders after a disruption occurs.

■ Less than half of organizations (44.3 percent) contact affected customers or users.

The IT Readiness Disconnect

The survey of over 200 IT personnel in development and operations found that while a majority feel confident that their organization is prepared to support digital services, more than half are still experiencing customer-impacting incidents (slowness or downtime) at least one or more times per week.

■ 71.9 percent of respondents feel confident that their IT organization is prepared to support digital services.

■ 56.2 percent of respondents noted that their organizations are still experiencing customer-impacting incidents (slowness or downtime) at least one or more times a week.

The rise in digital service offerings has also created operations challenges for IT organizations such as increased difficulty in capacity planning (e.g. increase in volume of data), increased complexity resulting in more cognitive load and an increase in number of tools. IT organizations also face reduced budgets, lack of full stack visibility, lack of contextual data when troubleshooting, siloed IT functions limiting collaboration and alert fatigue.

The Cure for the Common Digital Disruption Challenge

Many IT professionals are adopting modern development methods and tools to address the challenges of digital operations and consumer expectations:

■ According to IT organizations, incident management reigns supreme among those who feel prepared to effectively support digital offerings, with DevOps, continuous integration, agile development and ChatOps identified as other common practices.

■ Monitoring tools also play a critical role in helping organizations support digital service offerings effectively. Security monitoring is the tool or service most widely used among organizations who feel they’re equipped to support digital services, followed by application monitoring, infrastructure monitoring and IT operations analytics.

“Today’s IT teams are faced with more complex architectures that result in a number of new operational and technological challenges. The number of tools used, coupled with the increase in volume of data in play, makes it even more difficult to ensure a consistent digital experience for customers,” said David Wall, Managing Director and Country Manager for APAC, PagerDuty. “As organizations bridge between IT performance and a superior digital experience, their IT teams and lines of business must be equipped with digital operations tools and services that enable even more visibility into the digital stack.”

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...