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10 Tips to Prepare Your eCommerce Site for the Holiday Shopping Rush

Sven Hammar

The holiday shopping rush is soon upon us and the only thing we can be certain of is that online shopping of gifts will continue to increase. But also that many e-customers will be disappointed with their online shopping experiences. Response time is money.

With this in mind, here are my top ten tips for e-commerce success this holiday season:

1. Time is money

Even during periods with high traffic, the response time (i.e. the time it takes for a web page to fully load) should not exceed three seconds. E-shoppers are not the most patient bunch. If the site is slow, the customer will look for the desired product somewehere else: your competitors. A slow response means losing conversions, revenues and Google rankings. Analyze how your e-commerce platform performs compared to the competitors: is it faster or slower? How much money are you losing due to long response times and a corresponding weak conversion rate?

2. Optimize images and videos

High-resolution images and videos might make you think that your website is modern and edgy ... but they increase response times. So put vanity aside and reduce the amount of high-resolution images and videos on your site – for the sake of revenues. If you still want the bulky images, then invest in systems that can handle short response times despite high-resolution content. Use a CDN/accelerator service to speed up the delivery of rich content such as images and videos to customers.

3. Load test your site

Perform load tests to verify the site's performance during various load levels. Measure performance during normal variations in traffic. Test the site frequently before, during and after peak season to ensure the availability of reliable information about the site's normal performance. Testing companies can load test web or mobile applications, simulate peak loads, and validate non-functional demands, such as maximum three second response time for 90 percent of the users during peak load (10,000 users per minute).

4. Damage control: test your peak load

Without tests it is almost imposible to foresee what will happen at peak loads, e.g. Christmas commerce. Components that function flawlessly at regular loads may all of a sudden become bottlenecks. A "damage control" is a test that shows what it takes for the site to crash and what the course of events looks like. A damage control ensures that the website comes up and running again – even at full load. A specialized supplier of testing services can give you advice on how to avoid getting stuck with sites that slow down or crash even if the traffic increases drastically.

5. Cache static content

Cache as much static content as possible in the browser. If the page content does not change, customers will not have to download it again from the network the next time they hit the page. This is a cost-effective way to speed up web traffic and gain performance improvements.

6. Use queuing techniques

Queuing techniques are commonplace in service industries like retail. And it can be used to manage customers in virtual stores as well. Only allow as many customers into your web store that it can safely accommodate (i.e. that it is tested for) and block all traffic above this volume. It not, all users will get poor response times and the site might cease to function for all users. It is better to serve the customers who are already in the virtual store and let the others receive a polite error message or wait a little longer.

7. Be careful with third party content

Sure, it is nice to be able to link Facebook, Twitter and Youtube. Many e-traders do it and see it as something completely natural. But third party material is seldom optimized. You lose control over part of your website and take the risk of slowing it down.

8. Develop Campaign sites

Create separate and simpler websites that load quicker for temporary campaigns, events and product launches.

9. Balance the loads

Check that load sharing is working properly. Load sharing distributes loads from different users onto underlying systems in an even way. However, sometimes there might be erros due to reconfigurations et al. Therefore you must verify that the load sharing really functions properly and that the underlying servers receive an even load.

10. Use KPI to manage conversion

Finally: use existing analytical tools to identify which business processes your customers carry out on your website, and optimize them for the best possible performance. With tools like Google Analytics it is possible to see where the visitors start and which routes they take on your website. You can also see when the conversion rate is affected by slow response times. Back to my first tip: time is money and speed is always good – use KPI to manage your efforts for improved conversion and higher revenues.

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10 Tips to Prepare Your eCommerce Site for the Holiday Shopping Rush

Sven Hammar

The holiday shopping rush is soon upon us and the only thing we can be certain of is that online shopping of gifts will continue to increase. But also that many e-customers will be disappointed with their online shopping experiences. Response time is money.

With this in mind, here are my top ten tips for e-commerce success this holiday season:

1. Time is money

Even during periods with high traffic, the response time (i.e. the time it takes for a web page to fully load) should not exceed three seconds. E-shoppers are not the most patient bunch. If the site is slow, the customer will look for the desired product somewehere else: your competitors. A slow response means losing conversions, revenues and Google rankings. Analyze how your e-commerce platform performs compared to the competitors: is it faster or slower? How much money are you losing due to long response times and a corresponding weak conversion rate?

2. Optimize images and videos

High-resolution images and videos might make you think that your website is modern and edgy ... but they increase response times. So put vanity aside and reduce the amount of high-resolution images and videos on your site – for the sake of revenues. If you still want the bulky images, then invest in systems that can handle short response times despite high-resolution content. Use a CDN/accelerator service to speed up the delivery of rich content such as images and videos to customers.

3. Load test your site

Perform load tests to verify the site's performance during various load levels. Measure performance during normal variations in traffic. Test the site frequently before, during and after peak season to ensure the availability of reliable information about the site's normal performance. Testing companies can load test web or mobile applications, simulate peak loads, and validate non-functional demands, such as maximum three second response time for 90 percent of the users during peak load (10,000 users per minute).

4. Damage control: test your peak load

Without tests it is almost imposible to foresee what will happen at peak loads, e.g. Christmas commerce. Components that function flawlessly at regular loads may all of a sudden become bottlenecks. A "damage control" is a test that shows what it takes for the site to crash and what the course of events looks like. A damage control ensures that the website comes up and running again – even at full load. A specialized supplier of testing services can give you advice on how to avoid getting stuck with sites that slow down or crash even if the traffic increases drastically.

5. Cache static content

Cache as much static content as possible in the browser. If the page content does not change, customers will not have to download it again from the network the next time they hit the page. This is a cost-effective way to speed up web traffic and gain performance improvements.

6. Use queuing techniques

Queuing techniques are commonplace in service industries like retail. And it can be used to manage customers in virtual stores as well. Only allow as many customers into your web store that it can safely accommodate (i.e. that it is tested for) and block all traffic above this volume. It not, all users will get poor response times and the site might cease to function for all users. It is better to serve the customers who are already in the virtual store and let the others receive a polite error message or wait a little longer.

7. Be careful with third party content

Sure, it is nice to be able to link Facebook, Twitter and Youtube. Many e-traders do it and see it as something completely natural. But third party material is seldom optimized. You lose control over part of your website and take the risk of slowing it down.

8. Develop Campaign sites

Create separate and simpler websites that load quicker for temporary campaigns, events and product launches.

9. Balance the loads

Check that load sharing is working properly. Load sharing distributes loads from different users onto underlying systems in an even way. However, sometimes there might be erros due to reconfigurations et al. Therefore you must verify that the load sharing really functions properly and that the underlying servers receive an even load.

10. Use KPI to manage conversion

Finally: use existing analytical tools to identify which business processes your customers carry out on your website, and optimize them for the best possible performance. With tools like Google Analytics it is possible to see where the visitors start and which routes they take on your website. You can also see when the conversion rate is affected by slow response times. Back to my first tip: time is money and speed is always good – use KPI to manage your efforts for improved conversion and higher revenues.

The Latest

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 ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...