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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

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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

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Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...