A Beginner's Guide to UK GDPR for Web Developers: Cookies, Consent and Data Requests
October 07, 2026 - Web Development
The run-up to Christmas is the one time of year when an e-commerce site is judged by its worst hour rather than its average one. Traffic arrives in spikes, baskets get fatter, and infrastructure that sailed through a quiet Tuesday in October suddenly has to cope with Black Friday, payday weekends and the last-post panic of mid-December. Most of what keeps a shop trading through that period is unglamorous, well understood and best done now, while there is still time to fix what the tests uncover.
Before touching a single configuration file, agree on what "working" means. For most shops it comes down to a handful of paths:
Measure each step from outside your own network, not from a laptop inside the office. Record how long the server takes to respond, how long the page takes to become usable, and where people drop out. If you cannot see the funnel broken down by device and by step, you are guessing. Fix the guesswork first.
A single "we tested 5,000 users" figure is close to meaningless. What matters is the shape of the traffic and the mix of requests behind it. Build a test that reflects reality: mostly browsing, some search, a smaller proportion hitting basket and checkout, plus the odd burst of people refreshing a sold-out product page.
Run it against an environment that looks like production, including a database of a similar size. Include the third-party calls your checkout makes, because a payment provider or address lookup service can become the bottleneck long before your own servers do. Ramp traffic up gradually rather than slamming the site at once, and give autoscaling time to react. Then repeat it, because the first run often just warms caches.
Two practical warnings. Tell your hosting provider and your payment provider before you start, and use sandbox endpoints wherever they exist. Firing thousands of test transactions at a live payment service can breach your terms and distort the fraud models that protect you in December. You do not need to test at 3am either. A Tuesday morning, when developers, ops and the marketing team are all awake, is far more useful.
Caching is the cheapest performance work you can do. Anonymous catalogue and product pages can be served from the edge with a short time to live, and images, fonts and scripts should be cached for months with versioned filenames. Add a warming step to your deploy pipeline so your most visited few hundred URLs are refreshed before shoppers arrive.
Then draw a hard line. Never cache the basket, checkout, account pages or anything that varies by session cookie. Anything personalised — a recommended product, a member price, a live stock figure — either needs to be fetched by the browser after the page loads or served with a very short expiry. A page that confidently says an item is in stock twenty minutes after the last one sold is worse than a slow page.
One more thing worth setting up: a static fallback page at the CDN that appears if your origin stops responding. It will not take orders, but it keeps trust and gives you somewhere to explain what is happening.
Ask your provider some direct questions now: are there per-second transaction limits on your account, do they want advance notice of a big campaign, and how do they behave if you exceed a threshold? Some apply fraud rules more aggressively under sudden volume, which can turn a busy hour into a wall of declines.
In the code, make retries safe. Use idempotency keys so a repeated request cannot charge a customer twice, and never show a bland failure message when the real outcome is unknown — check the status of the transaction before telling someone their order did not go through. Offer wallet payments such as Apple Pay and Google Pay for speed on mobile. Watch declines by reason code during peak; a jump in three-factor authentication challenges usually means something in your checkout changed, not that customers suddenly forgot their passwords.
Clear words prevent most festive support tickets. Publish a despatch cut-off date, build in a buffer for courier disruption, and treat it as a promise you can keep rather than a marketing line. Update the banner daily in the final week; an "Order by 20 December" notice still showing on the 22nd undermines everything else on the page.
Be honest about availability. If stock is low, say so plainly and offer an alternative or a back-in-stock alert. Invented countdown timers and false scarcity cost you repeat customers in January. For limited drops, a simple virtual queue is kinder than a site that collapses under refresh traffic.
Agree a deploy freeze a week or two before your peak, with a clear exception route for genuine bugs. Set up dashboards for the numbers that matter: order completion rate, checkout error rate, payment declines, response time on the top twenty pages, and stock sync failures. Send alerts to a phone, not to a screen nobody is watching.
Write a short runbook covering who is on call, how to reach your host and payment provider, and which features can be switched off to protect checkout. Recommendations, reviews and personalised banners are all reasonable casualties. Test the runbook before you need it.
Do this and the festive period becomes a busy fortnight you can watch calmly rather than a scramble. The same groundwork also pays off in January, when the returns, refunds and sale traffic arrive.
Photo: Alexas_Fotos / Pixabay
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