The 2019 State of E-Commerce Infrastructure Report, from Webscale, analyzes findings from a comprehensive survey of more than 450 ecommerce professionals regarding how their online stores performed during the 2019 holiday season.
Some key insights from the report include:
Revenue and Traffic
While only 34.9% of online merchants expected more than 2X their average monthly site traffic during the holiday season, 41.8% actually ended up at 2X or higher. These numbers become more significant given that more than 29% of online merchants generate almost 50% of their annual revenue during the fourth quarter.
Downtime
"Many are still struggling with downtime and cyberthreats"
24.3% of merchants experienced expensive downtime in excess of 5 minutes on Black Friday/Cyber Monday 2019, while 6.6% of storefronts crashed for more than 30 minutes. In our pre-holiday survey though, only 18.6% of merchants said that they were worried about impending downtime during the holiday shopping season.
Slowness
A pre-holiday survey revealed that 37.2% of online merchants were worried about slow page loads. However, 49.7% of them experienced page load times in excess of 3 seconds, 22.2% had page load times over 5 seconds, and 4.8% had intolerable page load speeds over 9 seconds.
Security issues
Last year, 21% of merchants admitted to experiencing cybersecurity-related incidents, ranging from DDoS attacks to credit card theft attempts, during the Cyber Weekend. This year, the number increased to 32.6%, a significant percentage of the hundreds of thousands of ecommerce websites operating globally.
Hosting Challenges
12.9% of online merchants cited cyberthreats as their #1 challenge on Black Friday/Cyber Monday, 9.4% of merchants were plagued by downtime worries, and 8.9% stated site slowdowns were their biggest concern. Over 18% of respondents reported heavy struggles with all three challenges.
"While we saw some improvements this year, indicating that ecommerce merchants are investing more seriously in their site performance, many are still struggling with downtime and cyberthreats, finding it difficult to manage the infrastructure themselves, or working with providers who lack the depth of cloud expertise to deliver a superior user experience,” said Sonal Puri, CEO of Webscale.
The Latest
The demand for real-time AI capabilities is pushing data scientists to develop and manage infrastructure that can handle massive volumes of data in motion. This includes streaming data pipelines, edge computing, scalable cloud architecture, and data quality and governance. These new responsibilities require data scientists to expand their skill sets significantly ...
As the digital landscape constantly evolves, it's critical for businesses to stay ahead, especially when it comes to operating systems updates. A recent ControlUp study revealed that 82% of enterprise Windows endpoint devices have yet to migrate to Windows 11. With Microsoft's cutoff date on October 14, 2025, for Windows 10 support fast approaching, the urgency cannot be overstated ...
In Part 1 of this two-part series, I defined multi-CDN and explored how and why this approach is used by streaming services, e-commerce platforms, gaming companies and global enterprises for fast and reliable content delivery ... Now, in Part 2 of the series, I'll explore one of the biggest challenges of multi-CDN: observability.
CDNs consist of geographically distributed data centers with servers that cache and serve content close to end users to reduce latency and improve load times. Each data center is strategically placed so that digital signals can rapidly travel from one "point of presence" to the next, getting the digital signal to the viewer as fast as possible ... Multi-CDN refers to the strategy of utilizing multiple CDNs to deliver digital content across the internet ...
We surveyed IT professionals on their attitudes and practices regarding using Generative AI with databases. We asked how they are layering the technology in with their systems, where it's working the best for them, and what their concerns are ...
40% of generative AI (GenAI) solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023, according to Gartner ...
Today's digital business landscape evolves rapidly ... Among the areas primed for innovation, the long-standing ticket-based IT support model stands out as particularly outdated. Emerging as a game-changer, the concept of the "ticketless enterprise" promises to shift IT management from a reactive stance to a proactive approach ...
In MEAN TIME TO INSIGHT Episode 10, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Generative AI ...
By 2026, 30% of enterprises will automate more than half of their network activities, an increase from under 10% in mid-2023, according to Gartner ...