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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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New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

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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

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...