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What Do Retailers Want This Holiday Season? Observability

Ishan Mukherjee
New Relic

This holiday shopping season, the stakes for online retailers couldn't be higher. US online holiday sales are expected to set a new record, as they are forecasted to hit $221.8 billion. Cyber Monday alone is expected to drive $12 billion in spending, up 6.1% year-over-year (YoY). Even an hour or two of downtime for a digital storefront during this critical period can cost millions in lost revenue and has the potential to damage brand credibility. Savvy retailers are increasingly investing in observability to help ensure a seamless, omnichannel customer experience. Just ahead of the holiday season, New Relic released its State of Observability for Retail report, which offers insight and analysis on the adoption and business value of observability for the global retail/consumer industry. The report is based on insights derived from 173 retailer/consumer industry respondents in association with the 2023 Observability Forecast report, which surveyed ten industries.

Here are some key findings:

Facing Costly Outages

On top of the urgency to capitalize on holiday revenue, retailers today are also facing a difficult macroeconomic environment with the rapid increase in energy costs, high inflation, growing interest rates, and supply chain disruptions. With billions at stake in November and December, preventing significant digital storefront downtime is more important than ever.

37% of retailers reported IT outages at least once a week

Despite this, the report found that 37% of retailers reported IT outages at least once a week. For 61% of retailers, it took more than 30 minutes to resolve high-impact business outages, with 21% of respondents noting it took at least an hour. All of this downtime is proving costly. Nearly a third (31%) of retail respondents said critical business app outages cost more than $500,000 per hour, and 23% estimated they cost their organizations more than $1 million an hour. Retailers also reported a median annual outage cost of $9.95 million, which is notably higher than the $7.75 million annual outage cost across all ten industries surveyed in the forecast and the fifth highest overall compared to other industries. While retailers are experiencing outages more frequently than other industries, they also tend to spend more on observability than most other industries. Almost half (49%) said they spend $500,000 or more, and 31% said they spend $1 million or more per year on observability. Overall, retailers come in third out of the ten industries in terms of the amount spent on the tool.

How Retailers are Leaning on Observability

To provide a strong digital customer experience, the report found that retailers are turning to digital experience monitoring (DEM) for the tracking and optimization of performance and reliability. DEM is a combination of real user monitoring (RUM) — which includes browser monitoring and mobile monitoring — as well as synthetic monitoring. Respondents from retail/consumer organizations reported slightly higher levels of deployment for mobile monitoring (43% compared to 41% of respondents across industries) and synthetic monitoring (25% compared to 23% of respondents across industries). The use of multiple observability-related tools (i.e., "tool sprawl") makes the practice more challenging, as engineers continuously have to switch between solutions to uncover problems, resulting in blind spots, increased toil, and unnecessary challenges, usually during critical moments. Tool sprawl is prevalent in the retail industry. More than two-thirds of retailers (69%) used four or more tools for observability compared to 63% in other industries. And 23% of retailers used eight or more tools. However, the prevailing preference among retail respondents was for a single, consolidated platform (46%). Further, 42% said their organization is likely to consolidate tools in the next year to get the most value out of their observability spend.

Impacting the Bottom Line

The report confirms that observability has a direct impact on the bottom line. When asked how much total value their organization receives from its observability investment per year, 57% of retailers said more than $500,000, with 43% saying the total annual value is $1 million or more. Based on annual spending and annual value received estimates, retail/consumer organizations receive a 2x median annual ROI. Those retailers with full-stack observability had a higher median annual ROI (114%) than those who hadn't (100%). The benefits of observability aren't simply monetary. Nearly half (47%) of retailers said observability improves revenue retention by deepening understanding of customer behaviors.

Looking Ahead

Retailers plan to continue to maximize observability's features and capabilities in the coming years. By mid-2026, 98% are expected to have deployed alerts, followed by network monitoring and security monitoring (both 97%). DEM is also an important focus. More than half (53%) expected to deploy synthetic monitoring in the next one to three years, 42% expected to deploy mobile monitoring, and 39% expected to deploy browser monitoring. Given the clear ROI of observability, coupled with the continued reliance by consumers on seamless digital experiences, it's apparent that observability will continue to be an integral part of retailers' IT strategies for the foreseeable future.

Ishan Mukherjee is SVP of Growth at New Relic

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What Do Retailers Want This Holiday Season? Observability

Ishan Mukherjee
New Relic

This holiday shopping season, the stakes for online retailers couldn't be higher. US online holiday sales are expected to set a new record, as they are forecasted to hit $221.8 billion. Cyber Monday alone is expected to drive $12 billion in spending, up 6.1% year-over-year (YoY). Even an hour or two of downtime for a digital storefront during this critical period can cost millions in lost revenue and has the potential to damage brand credibility. Savvy retailers are increasingly investing in observability to help ensure a seamless, omnichannel customer experience. Just ahead of the holiday season, New Relic released its State of Observability for Retail report, which offers insight and analysis on the adoption and business value of observability for the global retail/consumer industry. The report is based on insights derived from 173 retailer/consumer industry respondents in association with the 2023 Observability Forecast report, which surveyed ten industries.

Here are some key findings:

Facing Costly Outages

On top of the urgency to capitalize on holiday revenue, retailers today are also facing a difficult macroeconomic environment with the rapid increase in energy costs, high inflation, growing interest rates, and supply chain disruptions. With billions at stake in November and December, preventing significant digital storefront downtime is more important than ever.

37% of retailers reported IT outages at least once a week

Despite this, the report found that 37% of retailers reported IT outages at least once a week. For 61% of retailers, it took more than 30 minutes to resolve high-impact business outages, with 21% of respondents noting it took at least an hour. All of this downtime is proving costly. Nearly a third (31%) of retail respondents said critical business app outages cost more than $500,000 per hour, and 23% estimated they cost their organizations more than $1 million an hour. Retailers also reported a median annual outage cost of $9.95 million, which is notably higher than the $7.75 million annual outage cost across all ten industries surveyed in the forecast and the fifth highest overall compared to other industries. While retailers are experiencing outages more frequently than other industries, they also tend to spend more on observability than most other industries. Almost half (49%) said they spend $500,000 or more, and 31% said they spend $1 million or more per year on observability. Overall, retailers come in third out of the ten industries in terms of the amount spent on the tool.

How Retailers are Leaning on Observability

To provide a strong digital customer experience, the report found that retailers are turning to digital experience monitoring (DEM) for the tracking and optimization of performance and reliability. DEM is a combination of real user monitoring (RUM) — which includes browser monitoring and mobile monitoring — as well as synthetic monitoring. Respondents from retail/consumer organizations reported slightly higher levels of deployment for mobile monitoring (43% compared to 41% of respondents across industries) and synthetic monitoring (25% compared to 23% of respondents across industries). The use of multiple observability-related tools (i.e., "tool sprawl") makes the practice more challenging, as engineers continuously have to switch between solutions to uncover problems, resulting in blind spots, increased toil, and unnecessary challenges, usually during critical moments. Tool sprawl is prevalent in the retail industry. More than two-thirds of retailers (69%) used four or more tools for observability compared to 63% in other industries. And 23% of retailers used eight or more tools. However, the prevailing preference among retail respondents was for a single, consolidated platform (46%). Further, 42% said their organization is likely to consolidate tools in the next year to get the most value out of their observability spend.

Impacting the Bottom Line

The report confirms that observability has a direct impact on the bottom line. When asked how much total value their organization receives from its observability investment per year, 57% of retailers said more than $500,000, with 43% saying the total annual value is $1 million or more. Based on annual spending and annual value received estimates, retail/consumer organizations receive a 2x median annual ROI. Those retailers with full-stack observability had a higher median annual ROI (114%) than those who hadn't (100%). The benefits of observability aren't simply monetary. Nearly half (47%) of retailers said observability improves revenue retention by deepening understanding of customer behaviors.

Looking Ahead

Retailers plan to continue to maximize observability's features and capabilities in the coming years. By mid-2026, 98% are expected to have deployed alerts, followed by network monitoring and security monitoring (both 97%). DEM is also an important focus. More than half (53%) expected to deploy synthetic monitoring in the next one to three years, 42% expected to deploy mobile monitoring, and 39% expected to deploy browser monitoring. Given the clear ROI of observability, coupled with the continued reliance by consumers on seamless digital experiences, it's apparent that observability will continue to be an integral part of retailers' IT strategies for the foreseeable future.

Ishan Mukherjee is SVP of Growth at New Relic

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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 ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

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