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5 Lessons Learned from the 2024 Observability for Retail Report

Nic Benders
New Relic

In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience.

Published in October, New Relic's 2024 Observability Forecast Report reveals insights into key growth areas, challenges, and trends shaping the observability industry. The report surveyed IT professionals across numerous geographic locations and demographics to inform the understanding of the current state of observability. Of the 1,700 technology professionals surveyed, 148 were associated with the retail industry and consumer-centric sectors.

Image
New Relic Retail

 

This November, New Relic published the State of Observability for Retail Report to share insights about observability's adoption and business impact across the retail industry and consumer-centric sectors.

Here are five key lessons learned from the report:

1. Observability helps retailers respond to outages faster and maintain positive business outcomes

Retailers that utilize observability to deliver business value gain an edge over their competitors. As retail organizations prepare for heightened demand during shopping periods like Black Friday and Cyber Monday, observability solutions help them tackle daily challenges, from mitigating application downtime to optimizing the online customer journey.

The forecast revealed that retailers experienced IT outages with a median annual downtime of 164 hours — or about one week. Though this is 41% lower than other industries, outages can cost organizations up to $1.9 million for every hour of downtime.

However, adopting alerts (62%) and network monitoring (59%) has helped retailers respond better to outages, with a median MTTD (mean-time-to-detection) of only 32 minutes. Further, improvements in network monitoring resulted in only 27% of respondents experiencing high-impact outages weekly. Adopting observability tooling has helped retail organizations maintain positive business outcomes and enhanced customer satisfaction.

2. AI, IoT, and security are driving retailers to adopt observability

In a year of growth, just under half (46%) of retail organizations indicated that an increased focus on security, governance, risk, and compliance was the top technology strategy influencing observability adoption.

Additionally, as AI continues on its meteoric rise, it has remained a significant driver of observability adoption, with 39% of retail respondents identifying AI as a key reason to adopt observability. This trend reflects the sector's commitment to leveraging AI for multiple facets of their work, such as enhancing decision-making and deriving actionable customer insights.

Finally, retail organizations cited IoT as the third most popular driver of observability adoption (32%), underscoring the sector's desire to harness observability for operational excellence.

3. Digital Experience Monitoring (DEM) is on the rise

A large uptick in online shopping has led to an evolved customer journey, meaning digital experience monitoring (DEM) is now a key growth area among retail organizations. DEM combines real user monitoring (RUM) — which covers browser and mobile monitoring — with synthetic monitoring for proactive testing and improvement.

More than half of the respondents (52%) noted that they are preparing to deploy synthetic monitoring within three years, 49% anticipate deploying mobile monitoring, and 42% plan to implement browser monitoring to continue to optimize the online customer journey.

4. The journey to full-stack observability requires tool consolidation

Retail organizations have their sights set on achieving full-stack observability. Though just 18% of organizations have reached this key milestone, retailers are taking strategic steps to overcome issues like an influx of monitoring tools and siloed data, which 35% of retailers identified as major roadblocks on their journey to achieving full-stack observability.

However, some retailers are transitioning through tool consolidation, with retail organizations now using 4.4 tools on average, down from 5.4 in 2023, compared to the broader industry average of 4.5 tools. This proactive tool consolidation effort will support retailers on their way to full-stack observability, with nearly half (43%) of the organizations surveyed planning to further consolidate their observability investments within the next year to access more operational efficiency and maximize their ROI.

5. Investment in observability pays off

Retail organizations reported stronger investments in observability on average, with 74% of respondents indicating annual spending of $1 million or more, while just 2% allocated less than $100,000. This investment delivers significant returns, with retail organizations achieving a median annual return on investment (ROI) of 302%, which is 4x their spending. This further underscores the strategic value of observability in this sector.

In terms of benefits, just under half of respondents (48%) reported improvements in overall system uptime and reliability, while 43% reported a reduction in security risks. Other key benefits called out included operational efficiency (38%), developer productivity (37%), and enhanced customer experience (37%).

Nic Benders is Chief Technical Strategist at New Relic

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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 ...

5 Lessons Learned from the 2024 Observability for Retail Report

Nic Benders
New Relic

In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience.

Published in October, New Relic's 2024 Observability Forecast Report reveals insights into key growth areas, challenges, and trends shaping the observability industry. The report surveyed IT professionals across numerous geographic locations and demographics to inform the understanding of the current state of observability. Of the 1,700 technology professionals surveyed, 148 were associated with the retail industry and consumer-centric sectors.

Image
New Relic Retail

 

This November, New Relic published the State of Observability for Retail Report to share insights about observability's adoption and business impact across the retail industry and consumer-centric sectors.

Here are five key lessons learned from the report:

1. Observability helps retailers respond to outages faster and maintain positive business outcomes

Retailers that utilize observability to deliver business value gain an edge over their competitors. As retail organizations prepare for heightened demand during shopping periods like Black Friday and Cyber Monday, observability solutions help them tackle daily challenges, from mitigating application downtime to optimizing the online customer journey.

The forecast revealed that retailers experienced IT outages with a median annual downtime of 164 hours — or about one week. Though this is 41% lower than other industries, outages can cost organizations up to $1.9 million for every hour of downtime.

However, adopting alerts (62%) and network monitoring (59%) has helped retailers respond better to outages, with a median MTTD (mean-time-to-detection) of only 32 minutes. Further, improvements in network monitoring resulted in only 27% of respondents experiencing high-impact outages weekly. Adopting observability tooling has helped retail organizations maintain positive business outcomes and enhanced customer satisfaction.

2. AI, IoT, and security are driving retailers to adopt observability

In a year of growth, just under half (46%) of retail organizations indicated that an increased focus on security, governance, risk, and compliance was the top technology strategy influencing observability adoption.

Additionally, as AI continues on its meteoric rise, it has remained a significant driver of observability adoption, with 39% of retail respondents identifying AI as a key reason to adopt observability. This trend reflects the sector's commitment to leveraging AI for multiple facets of their work, such as enhancing decision-making and deriving actionable customer insights.

Finally, retail organizations cited IoT as the third most popular driver of observability adoption (32%), underscoring the sector's desire to harness observability for operational excellence.

3. Digital Experience Monitoring (DEM) is on the rise

A large uptick in online shopping has led to an evolved customer journey, meaning digital experience monitoring (DEM) is now a key growth area among retail organizations. DEM combines real user monitoring (RUM) — which covers browser and mobile monitoring — with synthetic monitoring for proactive testing and improvement.

More than half of the respondents (52%) noted that they are preparing to deploy synthetic monitoring within three years, 49% anticipate deploying mobile monitoring, and 42% plan to implement browser monitoring to continue to optimize the online customer journey.

4. The journey to full-stack observability requires tool consolidation

Retail organizations have their sights set on achieving full-stack observability. Though just 18% of organizations have reached this key milestone, retailers are taking strategic steps to overcome issues like an influx of monitoring tools and siloed data, which 35% of retailers identified as major roadblocks on their journey to achieving full-stack observability.

However, some retailers are transitioning through tool consolidation, with retail organizations now using 4.4 tools on average, down from 5.4 in 2023, compared to the broader industry average of 4.5 tools. This proactive tool consolidation effort will support retailers on their way to full-stack observability, with nearly half (43%) of the organizations surveyed planning to further consolidate their observability investments within the next year to access more operational efficiency and maximize their ROI.

5. Investment in observability pays off

Retail organizations reported stronger investments in observability on average, with 74% of respondents indicating annual spending of $1 million or more, while just 2% allocated less than $100,000. This investment delivers significant returns, with retail organizations achieving a median annual return on investment (ROI) of 302%, which is 4x their spending. This further underscores the strategic value of observability in this sector.

In terms of benefits, just under half of respondents (48%) reported improvements in overall system uptime and reliability, while 43% reported a reduction in security risks. Other key benefits called out included operational efficiency (38%), developer productivity (37%), and enhanced customer experience (37%).

Nic Benders is Chief Technical Strategist at New Relic

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 ...