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Why Is a Crash-Free Black Friday/Cyber Monday Weekend So Elusive?

Mehdi Daoudi
Catchpoint

The online retail industry has yet to have a Black Friday/Cyber Monday weekend unscathed by web performance (speed and availability) problems. Luckily, performance during 2019's hyper-critical online holiday shopping weekend was better than in years past, as we did not see any systemic, lengthy outages.

While no website went completely down, in 2019 customers expect blisteringly fast load times. So the new rule is: slow is the new down.

40 percent of consumers will leave a page that takes longer than three seconds to load

Several retailers did experience significant problems, most notably Costco which endured 17 hours of slow performance that ultimately led to the company losing an estimated $11 million in sales. H&M experienced 10 hours of slowdown which was also costly, as the most recent statistics show 40 percent of consumers will leave a page that takes longer than three seconds to load.

Statistics show retailers lose half a billion dollars each year due to slow websites, with conversion rates also dropping seven percent as a result. So why have online retailers yet to figure out how to be crash-free during this all-important peak traffic period? We've identified several reasons for this, including:

Some retailers still don't have capacity figured out

Although most ecommerce and online retailers were prepared well in advance of Black Friday, others were caught off guard when traffic volume spiked. The extra load that holiday sales bring is one of the main causes of performance issues for online retailers. Servers are simply unable to handle the influx of traffic, which can cause a major bottleneck in the application delivery chain. Costco was among the first retailers to hit this performance roadblock.

This points to the fact that some retailers aren't conducting sufficient load testing. They may not have the resources to do so, and unless they make the decision to move to a scalable hosted platform, they are likely doomed for repeat failures. A case in point is H&M, which experienced similar performance issues on Black Friday 2017.

Some online retailers aren't measuring comprehensively enough

Slow performance anywhere in the conversion path (search page, product detail page, add to cart, etc.) can hurt an online retailer substantially. Yet, many are still relying on binary homepage measurements of a home page being "up" or "down," which is far too simplistic. Applications can be unreachable even if a web page is available.

Costco's performance this year was a prime example of this. Even at times when Costco's homepage was readily available, the search results page, product details page, and the shopping cart page were still considerably slow. It is absolutely critical to monitor the entire conversion path and time to complete end-to-end transactions.

Third parties — both infrastructure providers and other external third-party services — continue to be a source of problems

There were no instances in 2019 of a popular third-party service going down entirely or slowing dramatically, consequently dragging down all the sites it supports. One reason for the decline in third-party issues may relate to the fact that shoppers did not wait until Friday to place orders. The increase in website traffic on the Tuesday and Wednesday before Thanksgiving distributed traffic across more days for these third parties, which come under tremendous load during the holidays.

There were, however, several isolated instances that continue to demonstrate how important it is to closely monitor third-parties, particularly those existing on the external network which lately have been an increasing source of problems. For instance:

■ On Thanksgiving Day, Home Depot's website slowed down when issues arose while fetching content from a particular host mapped to Google Cloud.

■ Forever21 was briefly impacted by high connect and wait times on Saturday, November 30 due to its inability to load images and scripts served from their CDN. This impacted end users for approximately 15 minutes.

■ Sephora experienced performance volatility from a specific host, a third-party community integration, on the page. The community platform used by Sephora experienced performance issues, which, in turn, slowed down the site.

Conclusion

Ecommerce and online retailers continue to optimize and improve performance of webpages as well as critical transactions under load. However, in 2019 many issues continued to surface due to well-known problems, including insufficient capacity, measurements and third parties. With peak traffic periods so critical to the yearly revenue picture, online retailers need to understand that truly effective performance management requires year-round, proactive, customer-centric monitoring. This is the best way for organizations to ensure they're delivering to customers and users the performance levels they have come to expect, at all times of year.

Mehdi Daoudi is CEO and Co-Founder of Catchpoint

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Why Is a Crash-Free Black Friday/Cyber Monday Weekend So Elusive?

Mehdi Daoudi
Catchpoint

The online retail industry has yet to have a Black Friday/Cyber Monday weekend unscathed by web performance (speed and availability) problems. Luckily, performance during 2019's hyper-critical online holiday shopping weekend was better than in years past, as we did not see any systemic, lengthy outages.

While no website went completely down, in 2019 customers expect blisteringly fast load times. So the new rule is: slow is the new down.

40 percent of consumers will leave a page that takes longer than three seconds to load

Several retailers did experience significant problems, most notably Costco which endured 17 hours of slow performance that ultimately led to the company losing an estimated $11 million in sales. H&M experienced 10 hours of slowdown which was also costly, as the most recent statistics show 40 percent of consumers will leave a page that takes longer than three seconds to load.

Statistics show retailers lose half a billion dollars each year due to slow websites, with conversion rates also dropping seven percent as a result. So why have online retailers yet to figure out how to be crash-free during this all-important peak traffic period? We've identified several reasons for this, including:

Some retailers still don't have capacity figured out

Although most ecommerce and online retailers were prepared well in advance of Black Friday, others were caught off guard when traffic volume spiked. The extra load that holiday sales bring is one of the main causes of performance issues for online retailers. Servers are simply unable to handle the influx of traffic, which can cause a major bottleneck in the application delivery chain. Costco was among the first retailers to hit this performance roadblock.

This points to the fact that some retailers aren't conducting sufficient load testing. They may not have the resources to do so, and unless they make the decision to move to a scalable hosted platform, they are likely doomed for repeat failures. A case in point is H&M, which experienced similar performance issues on Black Friday 2017.

Some online retailers aren't measuring comprehensively enough

Slow performance anywhere in the conversion path (search page, product detail page, add to cart, etc.) can hurt an online retailer substantially. Yet, many are still relying on binary homepage measurements of a home page being "up" or "down," which is far too simplistic. Applications can be unreachable even if a web page is available.

Costco's performance this year was a prime example of this. Even at times when Costco's homepage was readily available, the search results page, product details page, and the shopping cart page were still considerably slow. It is absolutely critical to monitor the entire conversion path and time to complete end-to-end transactions.

Third parties — both infrastructure providers and other external third-party services — continue to be a source of problems

There were no instances in 2019 of a popular third-party service going down entirely or slowing dramatically, consequently dragging down all the sites it supports. One reason for the decline in third-party issues may relate to the fact that shoppers did not wait until Friday to place orders. The increase in website traffic on the Tuesday and Wednesday before Thanksgiving distributed traffic across more days for these third parties, which come under tremendous load during the holidays.

There were, however, several isolated instances that continue to demonstrate how important it is to closely monitor third-parties, particularly those existing on the external network which lately have been an increasing source of problems. For instance:

■ On Thanksgiving Day, Home Depot's website slowed down when issues arose while fetching content from a particular host mapped to Google Cloud.

■ Forever21 was briefly impacted by high connect and wait times on Saturday, November 30 due to its inability to load images and scripts served from their CDN. This impacted end users for approximately 15 minutes.

■ Sephora experienced performance volatility from a specific host, a third-party community integration, on the page. The community platform used by Sephora experienced performance issues, which, in turn, slowed down the site.

Conclusion

Ecommerce and online retailers continue to optimize and improve performance of webpages as well as critical transactions under load. However, in 2019 many issues continued to surface due to well-known problems, including insufficient capacity, measurements and third parties. With peak traffic periods so critical to the yearly revenue picture, online retailers need to understand that truly effective performance management requires year-round, proactive, customer-centric monitoring. This is the best way for organizations to ensure they're delivering to customers and users the performance levels they have come to expect, at all times of year.

Mehdi Daoudi is CEO and Co-Founder of Catchpoint

The Latest

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 ...