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Top 5 Causes of Performance Issues During Online Holiday Shopping Season

Mehdi Daoudi
Catchpoint

With Black Friday and Cyber Monday just weeks away, Catchpoint has identified the top five technical items most likely to cause web or mobile shopping sites to perform poorly.

When an online retail site is unavailable on a big shopping day, it is essentially the same as shutting the doors of a physical store

Every Black Friday-Cyber Monday weekend in the last decade has seen at least one major online retailer with web or mobile site outages or slowdowns. Memories of last year’s Black Friday problems, and Amazon’s Prime Day missteps this summer, should remind retailers that no company, big or small, is immune to interruptions or slowdowns in its sites’ digital experience.

Online retailers can learn from the mistakes of the past to optimally prepare and best position themselves for a smooth kick-off to the holidays.

The following elements are the most likely to cause slow load times or outages in the upcoming season:

1. Third Parties

These are site elements hosted by outside companies and beyond the direct control of the main site. One sluggish third-party component can slow down an entire web page. Example: in 2016 a high-end home goods retailer experienced very slow page load times intermittently on Black Friday due to problems with a third-party photo display service.

2. Regional View

If an online retailer monitors page load times only using national averages, it could be missing local or statewide performance problems. Example: in 2016 a major retailer experienced problems on its desktop site due to an ad tech provider, ultimately leading to ongoing site blackouts in Phoenix, starting early in the long holiday weekend.

3. Critical APIs

APIs are fundamental components of e-commerce sites, often supporting customer-facing, revenue-generating applications. Like third party services, popular APIs can come under major strain during peak traffic periods. If an API supporting payment options on a site breaks, an abandoned shopping cart will be the likely result.

4. Page Weight

One of the easiest ways to ensure faster load times is to make certain a site’s page weight (amount of data loaded into a shopper’s browser) isn’t too large. This is a technique large and small retailers often employ during peak traffic days, usually by eliminating excess images or graphics.

5. Server Scalability

The Amazon Prime Day outage was reported to be the simple result of overloaded servers. Load testing internal servers is one of the most straightforward, simple things one can do, as well as having additional servers on standby.

When an online retail site is unavailable on a big shopping day, it is essentially the same as shutting the doors of a physical store. And when your page load time slows, that’s the same as forcing a customer to stand in a long checkout line.

It’s important to remember that comprehensive monitoring from the end-user perspective is the definitive way to gain visibility into all the performance-impacting elements in the delivery chain, including those beyond one’s own firewall.

Mehdi Daoudi is CEO and Co-Founder of Catchpoint

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Top 5 Causes of Performance Issues During Online Holiday Shopping Season

Mehdi Daoudi
Catchpoint

With Black Friday and Cyber Monday just weeks away, Catchpoint has identified the top five technical items most likely to cause web or mobile shopping sites to perform poorly.

When an online retail site is unavailable on a big shopping day, it is essentially the same as shutting the doors of a physical store

Every Black Friday-Cyber Monday weekend in the last decade has seen at least one major online retailer with web or mobile site outages or slowdowns. Memories of last year’s Black Friday problems, and Amazon’s Prime Day missteps this summer, should remind retailers that no company, big or small, is immune to interruptions or slowdowns in its sites’ digital experience.

Online retailers can learn from the mistakes of the past to optimally prepare and best position themselves for a smooth kick-off to the holidays.

The following elements are the most likely to cause slow load times or outages in the upcoming season:

1. Third Parties

These are site elements hosted by outside companies and beyond the direct control of the main site. One sluggish third-party component can slow down an entire web page. Example: in 2016 a high-end home goods retailer experienced very slow page load times intermittently on Black Friday due to problems with a third-party photo display service.

2. Regional View

If an online retailer monitors page load times only using national averages, it could be missing local or statewide performance problems. Example: in 2016 a major retailer experienced problems on its desktop site due to an ad tech provider, ultimately leading to ongoing site blackouts in Phoenix, starting early in the long holiday weekend.

3. Critical APIs

APIs are fundamental components of e-commerce sites, often supporting customer-facing, revenue-generating applications. Like third party services, popular APIs can come under major strain during peak traffic periods. If an API supporting payment options on a site breaks, an abandoned shopping cart will be the likely result.

4. Page Weight

One of the easiest ways to ensure faster load times is to make certain a site’s page weight (amount of data loaded into a shopper’s browser) isn’t too large. This is a technique large and small retailers often employ during peak traffic days, usually by eliminating excess images or graphics.

5. Server Scalability

The Amazon Prime Day outage was reported to be the simple result of overloaded servers. Load testing internal servers is one of the most straightforward, simple things one can do, as well as having additional servers on standby.

When an online retail site is unavailable on a big shopping day, it is essentially the same as shutting the doors of a physical store. And when your page load time slows, that’s the same as forcing a customer to stand in a long checkout line.

It’s important to remember that comprehensive monitoring from the end-user perspective is the definitive way to gain visibility into all the performance-impacting elements in the delivery chain, including those beyond one’s own firewall.

Mehdi Daoudi is CEO and Co-Founder of Catchpoint

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Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

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 ...

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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 ...

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