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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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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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...