Home / Blog / Hosting Fundamentals / How to Prepare a Website for a Traffic Spike
A traffic spike is the best problem a website can have — a sale, a viral post, a press mention, a product launch — unless the site goes down in the middle of it. Then the spike becomes lost sales, frustrated visitors and a reputation hit that outlasts the event.
The difference between a site that survives a spike and one that does not is almost never luck. It is preparation done weeks in advance, when there is time to test and fix things. This guide covers that preparation, in the order that matters.
You cannot prepare for a spike if you do not know what your site can currently handle. Start by measuring the baseline:
Then find the breaking point with a load test. Tools such as k6, Apache JMeter and Locust simulate many simultaneous visitors and report when response times degrade and errors begin. Run the test against a staging copy that mirrors production — never load-test the live site, and never load-test without warning your host, since a load test looks exactly like an attack to automated defences.
A load test answers the only question that matters: how many concurrent users can the site serve before it slows down or fails? If the answer is below the traffic you expect, you have work to do — and now you know how much.
The cheapest way to survive a spike is to reduce the work each visit requires. Every request your origin server does not have to process is capacity you keep in reserve.
Cache aggressively. Page caching should be verified working before the event, not assumed. Load a page twice and confirm the second load is served from cache with a much lower Time to First Byte. For WordPress, a full-page cache plus object caching (Redis or Memcached, if your host offers it) is the standard combination. [TO BE CONFIRMED: which caching options Offshore Hosting plans include.]
Use a CDN. A CDN serves your static assets — images, CSS, JavaScript — from edge locations near visitors, and absorbs a large share of the surge from cache instead of passing it to your origin. See CDN vs web hosting and when you need both for the details, including what a CDN does and does not cache. Enable it well before the event so you can verify cache hit rates under normal traffic first.
Optimise the heavy pages. The pages the spike will hit hardest are usually the homepage, a landing page and a product or checkout page. Optimise those specifically: compress images, defer non-critical JavaScript, and remove anything that is not needed for the event. A chat widget, a social feed and three tracking scripts each add server and browser work on every visit.
Reduce database work. Database queries are the most common bottleneck under load. Slow queries that are invisible at ten visitors a minute become fatal at a hundred. Use Query Monitor or your slow query log to find them, and add indexes or caching where it helps. Disable or defer anything that writes to the database on every page view — live visitor counters, uncached statistics plugins and similar features are a liability during a spike.
If the load test shows the site cannot handle the expected traffic, scale up before the event, not during it:
Do the scaling at least a few days early, then re-run the load test to confirm the new capacity. Scaling on the morning of the event leaves no time to discover that the new configuration has a problem.
Not all pages are equal during a spike. Identify the critical path — the sequence of pages that turns a visitor into a customer — and protect it:
Preparation without monitoring is guesswork. During the spike, watch:
Assign one person to watch the numbers and one person authorised to act — scaling up, disabling a feature, or contacting support. Decisions made in a panic, by whoever happens to be online, are how small problems become outages.
A one-page runbook, written before the event, is worth more than any amount of improvisation:
Keep it short and practical. A runbook nobody reads is decoration; a one-page checklist people actually follow is insurance.
When the traffic subsides, do a short review while the details are fresh: what broke, what nearly broke, what the peak numbers actually were, and what you would change next time. Save the load-test results and the monitoring graphs. The next spike will be easier to prepare for, because you will be planning from real data instead of guesses.
Then scale resources back down if the traffic has returned to normal — there is no reason to pay for capacity you no longer need — and keep the optimisations. The caching, the image compression and the slow-query fixes that saved you during the spike make the site faster every day.
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