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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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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 ...

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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 ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...