Skip to main content

IT Departments Must Be Ready to Manage Influx of Online Shopping Over Black Friday and Cyber Monday

Gregg Ostrowski
AppDynamics

Within retail organizations across the world, IT teams will be bracing themselves for a hectic holiday season. Retail technologists are well versed in what key holiday shopping dates such as Black Friday and Cyber Monday mean for them — long hours and immense pressure as they try to ensure applications and digital services are operating at peak performance and are able to withstand huge spikes in demand. However, this year, the pressure on IT teams is set to intensify. A recent Cisco AppDynamics survey of more than 12,000 global consumers reveals this holiday season is likely to see record levels of online shopping. Compared to last year, 43% of consumers expect to do more of their holiday shopping online (through applications and digital services) on Black Friday and Cyber Monday, while only 13% expect to do less.  

Source: Cisco AppDynamics
 

While this is an exciting opportunity for retailers to boost sales, it also intensifies severe risk. Any application performance slipup will cause consumers to turn their back on brands, possibly forever. Online shoppers will be completely unforgiving to any retailer who doesn't deliver a seamless digital experience. With this in mind, retailers urgently need to ensure their IT teams have the right tools and insights to manage application availability and performance over the holiday season and beyond.

Technologists Must Ensure Applications Are Set to Handle Unprecedented Peaks in Demand

The research suggests the proportion of money spent online versus in-store is set to jump this year. Specifically, consumers expect 59% of their spending on Black Friday and Cyber Monday will be online versus in-store, compared to 53% last year. People are turning to applications and digital services to find great deals and stretch their money. They prefer the ease and convenience of online shopping compared to tiring and time-consuming trips to stores. Despite the soaring appetite for online shopping, the research also presents a stark warning from consumers for any retail brand who fails to provide a seamless digital experience. Today's shoppers don't have the time or patience to tolerate problems with applications and 64% of people admit a poor digital experience will leave them feeling anxious and angry. Whether it's outages, slow loading or unresponsive pages or problems with payment transactions, consumers believe there is no excuse for poor online shopping experiences. In fact, 58% state they will only give retailers one chance to impress them with their applications this holiday season. If the application doesn't perform as intended, then shoppers will immediately delete it and be inclined to look for an alternative option. There is also the risk that they'll share their negative experiences with friends and family or on social media, deterring other consumers from using those services.

IT Teams Need Unified Visibility Into Modern Application Environments to Deliver Seamless Digital Experiences

Rapid adoption of cloud native technologies has enabled organizations to accelerate their innovations, but it has resulted in IT departments being engulfed by complexity and data noise from an increasingly fragmented application environment. Many IT teams don't have visibility into containers and Kubernetes environments, and not a clear line of sight for applications with components running across cloud native and on-premises environments. This is making it incredibly difficult to quickly identify issues and easily understand root causes. Technologists are stuck in firefighting mode, operating under relentless pressure, and constantly scrambling to resolve issues before they impact end users. They're being bombarded by alerts and performance data, but they can't cut through the noise to work out which issues they need to prioritize. Unfortunately, the situation is likely to intensify over the coming weeks with the massive spikes in traffic that we're expecting. It is up to retailers to support their IT teams this holiday season and ensure their applications are prepared to take advantage of heightened demand. A first step will be enabling IT teams with full and unified visibility across their multi-cloud and hybrid environments. Solutions like application observability can serve as a single source of truth for all application availability and performance data, with telemetry data from cloud native environments and agent-based entities within legacy applications being ingested into the same platform. This allows IT teams to correlate application performance data with key business metrics like conversions, so they can prioritize issues that pose a greater risk to digital experience. With the support from their retailer and solutions such as application observability, technologists can regain their footing and adopt a more proactive approach to managing their applications. They can deliver the digital experiences that consumers now highly value and ensure their organizations are able to take full advantage of heightened consumer demand.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

The Latest

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 ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

IT Departments Must Be Ready to Manage Influx of Online Shopping Over Black Friday and Cyber Monday

Gregg Ostrowski
AppDynamics

Within retail organizations across the world, IT teams will be bracing themselves for a hectic holiday season. Retail technologists are well versed in what key holiday shopping dates such as Black Friday and Cyber Monday mean for them — long hours and immense pressure as they try to ensure applications and digital services are operating at peak performance and are able to withstand huge spikes in demand. However, this year, the pressure on IT teams is set to intensify. A recent Cisco AppDynamics survey of more than 12,000 global consumers reveals this holiday season is likely to see record levels of online shopping. Compared to last year, 43% of consumers expect to do more of their holiday shopping online (through applications and digital services) on Black Friday and Cyber Monday, while only 13% expect to do less.  

Source: Cisco AppDynamics
 

While this is an exciting opportunity for retailers to boost sales, it also intensifies severe risk. Any application performance slipup will cause consumers to turn their back on brands, possibly forever. Online shoppers will be completely unforgiving to any retailer who doesn't deliver a seamless digital experience. With this in mind, retailers urgently need to ensure their IT teams have the right tools and insights to manage application availability and performance over the holiday season and beyond.

Technologists Must Ensure Applications Are Set to Handle Unprecedented Peaks in Demand

The research suggests the proportion of money spent online versus in-store is set to jump this year. Specifically, consumers expect 59% of their spending on Black Friday and Cyber Monday will be online versus in-store, compared to 53% last year. People are turning to applications and digital services to find great deals and stretch their money. They prefer the ease and convenience of online shopping compared to tiring and time-consuming trips to stores. Despite the soaring appetite for online shopping, the research also presents a stark warning from consumers for any retail brand who fails to provide a seamless digital experience. Today's shoppers don't have the time or patience to tolerate problems with applications and 64% of people admit a poor digital experience will leave them feeling anxious and angry. Whether it's outages, slow loading or unresponsive pages or problems with payment transactions, consumers believe there is no excuse for poor online shopping experiences. In fact, 58% state they will only give retailers one chance to impress them with their applications this holiday season. If the application doesn't perform as intended, then shoppers will immediately delete it and be inclined to look for an alternative option. There is also the risk that they'll share their negative experiences with friends and family or on social media, deterring other consumers from using those services.

IT Teams Need Unified Visibility Into Modern Application Environments to Deliver Seamless Digital Experiences

Rapid adoption of cloud native technologies has enabled organizations to accelerate their innovations, but it has resulted in IT departments being engulfed by complexity and data noise from an increasingly fragmented application environment. Many IT teams don't have visibility into containers and Kubernetes environments, and not a clear line of sight for applications with components running across cloud native and on-premises environments. This is making it incredibly difficult to quickly identify issues and easily understand root causes. Technologists are stuck in firefighting mode, operating under relentless pressure, and constantly scrambling to resolve issues before they impact end users. They're being bombarded by alerts and performance data, but they can't cut through the noise to work out which issues they need to prioritize. Unfortunately, the situation is likely to intensify over the coming weeks with the massive spikes in traffic that we're expecting. It is up to retailers to support their IT teams this holiday season and ensure their applications are prepared to take advantage of heightened demand. A first step will be enabling IT teams with full and unified visibility across their multi-cloud and hybrid environments. Solutions like application observability can serve as a single source of truth for all application availability and performance data, with telemetry data from cloud native environments and agent-based entities within legacy applications being ingested into the same platform. This allows IT teams to correlate application performance data with key business metrics like conversions, so they can prioritize issues that pose a greater risk to digital experience. With the support from their retailer and solutions such as application observability, technologists can regain their footing and adopt a more proactive approach to managing their applications. They can deliver the digital experiences that consumers now highly value and ensure their organizations are able to take full advantage of heightened consumer demand.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

The Latest

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 ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...