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Here's How Retailers Can Win 2025 with Greater Digital Resiliency

Mimi Shalash
Splunk

E-commerce is set to skyrocket with a 9% rise over the next few years. Retailers must stay digitally agile throughout the year and especially during the high stakes Cyber 5 shopping (more commonly known as the frenzy between Thanksgiving and Cyber Monday). And the numbers don't lie. Black Friday 2024 saw an outstanding $10.8 billion in online spending, a notable 10% growth from 2023.

To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues. According to Splunk's 2024 Hidden Costs of Downtime Report, downtime costs the retail industry as much as $287 million per year.

Therefore, to stay in style, retailers need advanced strategies to achieve operational alignment and foster a culture of digital resilience (and hopefully couture level profits).

The Impact of Downtime to Customer Trust

The rise of online shopping has expanded the peak season from November through January, with promotions starting earlier and lasting longer. That means deals start earlier, last longer, and shoppers expect more. For US retailers, the window between Thanksgiving and Christmas is a race against time, with five less days between the holidays and intense competition.

Fighting for every sale, applications and digital services such as self-serve kiosks, chatbots, AI-powered shopping suggestions play a vital role in shaping the customer experience. With consumers spending billions, any downtime could result in massive financial losses and erode customer trust. A few seconds delay can increase abandonment rates, while a complete website crash can lead to immediate revenue loss and long-term reputational damage. Talk about a serious style faux pas.

Downtime doesn't just drain sales, it can also crash stock prices by an average of 2.5% and knock a brand off its search engine pedestal. Research shows it can take up to 60 days to rebuild brand health and 75 days for revenue to recover; jeopardizing brand reputation and customer loyalty.

As a result, the pressure on retailers to deliver fast, reliable, and disruption free experiences during these critical periods has never been higher.

How Retailers Can Build Digital Resiliency

As the stakes continue to rise, the key to thriving in this high-pressure environment lies in preparation. To prevent downtime and deliver seamless experiences, retailers must prioritize resilience well ahead of peak shopping periods. Regularly testing system scalability and addressing vulnerabilities enable businesses to handle surges in traffic without compromising performance.

However, without the right tools to monitor and analyze customer experience alongside back-end performance, teams risk delays in identifying and resolving issues. That's where observability becomes a critical component of digital resilience.

Observability empowers teams to uncover and resolve issues, even the ones no one sees coming. Take the story of a major retailer during a peak shopping period, a time when every second counts. Suddenly, checkout failures began to spike, leaving the team scrambling for answers. No alerts were triggered, and the usual suspects like application logs and infrastructure health revealed nothing unusual.

That's when they turned to observability. Real-time tracing and metrics correlation quickly unraveled the mystery: a misconfigured SSL certificate on a third-party payment API was causing intermittent timeouts. Armed with data, the team acted quickly, coordinating with the provider to fix the issue and deploying a failover mechanism to ensure uninterrupted service. Thanks to their observability practice, they avoided a potential crisis, keeping their operations smooth and their customers happy.

Practicing Digital Resilience in 2025 and Beyond

The countdown to the next peak holiday season has begun, and now is the time to turn digital resilience into a competitive advantage. Establishing a strong observability practice, combined with collaboration across security, ITOps, and engineering teams, is no longer optional; it's essential.

Moving forward, resolving issues in the moment won't be enough. Retailers must proactively prepare for peak times to avoid disruptions altogether. By implementing the right technology, rigorously stress-testing systems ahead of traffic surges, and ensuring end-to-end visibility across their tech stack, businesses can better anticipate shopper demands and avoid the costly consequences of downtime and investigations.

Just like wearing the wrong shoes, neglecting digital resilience can leave your business limping through the most critical moments. Step up your game because when it comes to peak performance, there is no room for blisters. 

Mimi Shalash is Observability Advisor at Splunk, a Cisco company

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Here's How Retailers Can Win 2025 with Greater Digital Resiliency

Mimi Shalash
Splunk

E-commerce is set to skyrocket with a 9% rise over the next few years. Retailers must stay digitally agile throughout the year and especially during the high stakes Cyber 5 shopping (more commonly known as the frenzy between Thanksgiving and Cyber Monday). And the numbers don't lie. Black Friday 2024 saw an outstanding $10.8 billion in online spending, a notable 10% growth from 2023.

To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues. According to Splunk's 2024 Hidden Costs of Downtime Report, downtime costs the retail industry as much as $287 million per year.

Therefore, to stay in style, retailers need advanced strategies to achieve operational alignment and foster a culture of digital resilience (and hopefully couture level profits).

The Impact of Downtime to Customer Trust

The rise of online shopping has expanded the peak season from November through January, with promotions starting earlier and lasting longer. That means deals start earlier, last longer, and shoppers expect more. For US retailers, the window between Thanksgiving and Christmas is a race against time, with five less days between the holidays and intense competition.

Fighting for every sale, applications and digital services such as self-serve kiosks, chatbots, AI-powered shopping suggestions play a vital role in shaping the customer experience. With consumers spending billions, any downtime could result in massive financial losses and erode customer trust. A few seconds delay can increase abandonment rates, while a complete website crash can lead to immediate revenue loss and long-term reputational damage. Talk about a serious style faux pas.

Downtime doesn't just drain sales, it can also crash stock prices by an average of 2.5% and knock a brand off its search engine pedestal. Research shows it can take up to 60 days to rebuild brand health and 75 days for revenue to recover; jeopardizing brand reputation and customer loyalty.

As a result, the pressure on retailers to deliver fast, reliable, and disruption free experiences during these critical periods has never been higher.

How Retailers Can Build Digital Resiliency

As the stakes continue to rise, the key to thriving in this high-pressure environment lies in preparation. To prevent downtime and deliver seamless experiences, retailers must prioritize resilience well ahead of peak shopping periods. Regularly testing system scalability and addressing vulnerabilities enable businesses to handle surges in traffic without compromising performance.

However, without the right tools to monitor and analyze customer experience alongside back-end performance, teams risk delays in identifying and resolving issues. That's where observability becomes a critical component of digital resilience.

Observability empowers teams to uncover and resolve issues, even the ones no one sees coming. Take the story of a major retailer during a peak shopping period, a time when every second counts. Suddenly, checkout failures began to spike, leaving the team scrambling for answers. No alerts were triggered, and the usual suspects like application logs and infrastructure health revealed nothing unusual.

That's when they turned to observability. Real-time tracing and metrics correlation quickly unraveled the mystery: a misconfigured SSL certificate on a third-party payment API was causing intermittent timeouts. Armed with data, the team acted quickly, coordinating with the provider to fix the issue and deploying a failover mechanism to ensure uninterrupted service. Thanks to their observability practice, they avoided a potential crisis, keeping their operations smooth and their customers happy.

Practicing Digital Resilience in 2025 and Beyond

The countdown to the next peak holiday season has begun, and now is the time to turn digital resilience into a competitive advantage. Establishing a strong observability practice, combined with collaboration across security, ITOps, and engineering teams, is no longer optional; it's essential.

Moving forward, resolving issues in the moment won't be enough. Retailers must proactively prepare for peak times to avoid disruptions altogether. By implementing the right technology, rigorously stress-testing systems ahead of traffic surges, and ensuring end-to-end visibility across their tech stack, businesses can better anticipate shopper demands and avoid the costly consequences of downtime and investigations.

Just like wearing the wrong shoes, neglecting digital resilience can leave your business limping through the most critical moments. Step up your game because when it comes to peak performance, there is no room for blisters. 

Mimi Shalash is Observability Advisor at Splunk, a Cisco company

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80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...