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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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As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...