Less than 24 hours ago, I wrote a post about how to speed up your website using Cloudflare cache. However, I've since moved most of the logic to a Fastify middleware using Redis. Here is why and how you can do it yourself.
I ran into two issues with Cloudflare cache:
There were a few other issues that I ran into (like not being able to purge the cache using pattern matching), but those were not critical to my use case.
Therefore, I decided to move the logic to a Fastify middleware using Redis.
[!NOTE]
I left Cloudflare cache for image caching. In this case, Cloudflare cache effectively functions as a CDN.
What follows is an annotated version of the middleware that I wrote to cache responses using Fastify.
const isCacheableRequest = (request: FastifyRequest): boolean => { // Do not attempt to use cache for authenticated visitors. if (request.visitor?.userAccount) { return false; } if (request.method !== 'GET') { return false; } // We only want to cache responses under /supplements/. if (!request.url.includes('/supplements/')) { return false; } // We provide a mechanism to bypass the cache. // This is necessary for implementing the "Serve Stale Content While Revalidating" feature. if (request.headers['cache-control'] === 'no-cache') { return false; } return true; }; const isCacheableResponse = (reply: FastifyReply): boolean => { if (reply.statusCode !== 200) { return false; } // We don't want to cache responses that are served from the cache. if (reply.getHeader('x-pillser-cache') === 'HIT') { return false; } // We only want to cache responses that are HTML. if (!reply.getHeader('content-type')?.toString().includes('text/html')) { return false; } return true; }; const generateRequestCacheKey = (request: FastifyRequest): string => { // We need to namespace the cache key to allow an easy purging of all the cache entries. return 'request:' + generateHash({ algorithm: 'sha256', buffer: stringifyJson({ method: request.method, url: request.url, // This is used to cache viewport specific responses. viewportWidth: request.viewportWidth, }), encoding: 'hex', }); }; type CachedResponse = { body: string; headers: Record<string, string>; statusCode: number; }; const refreshRequestCache = async (request: FastifyRequest) => { await got({ headers: { 'cache-control': 'no-cache', 'sec-ch-viewport-width': String(request.viewportWidth), 'user-agent': request.headers['user-agent'], }, method: 'GET', url: pathToAbsoluteUrl(request.originalUrl), }); }; app.addHook('onRequest', async (request, reply) => { if (!isCacheableRequest(request)) { return; } const cachedResponse = await redis.get(generateRequestCacheKey(request)); if (!cachedResponse) { return; } reply.header('x-pillser-cache', 'HIT'); const response: CachedResponse = parseJson(cachedResponse); reply.status(response.statusCode); reply.headers(response.headers); reply.send(response.body); reply.hijack(); setImmediate(() => { // After the response is sent, we send a request to refresh the cache in the background. // This effectively serves stale content while revalidating. // Therefore, this cache does not reduce the number of requests to the origin; // The goal is to reduce the response time for the user. refreshRequestCache(request); }); }); const readableToString = (readable: Readable): Promise<string> => { const chunks: Uint8Array[] = []; return new Promise((resolve, reject) => { readable.on('data', (chunk) => chunks.push(Buffer.from(chunk))); readable.on('error', (err) => reject(err)); readable.on('end', () => resolve(Buffer.concat(chunks).toString('utf8'))); }); }; app.addHook('onSend', async (request, reply, payload) => { if (reply.hasHeader('x-pillser-cache')) { return payload; } if (!isCacheableRequest(request) || !isCacheableResponse(reply) || !(payload instanceof Readable)) { // Indicate that the response is not cacheable. reply.header('x-pillser-cache', 'DYNAMIC'); return payload; } const content = await readableToString(payload); const headers = omit(reply.getHeaders(), [ 'content-length', 'set-cookie', 'x-pillser-cache', ]) as Record<string, string>; reply.header('x-pillser-cache', 'MISS'); await redis.setex( generateRequestCacheKey(request), getDuration('1 day', 'seconds'), stringifyJson({ body: content, headers, statusCode: reply.statusCode, } satisfies CachedResponse), ); return content; });
The comments walk through the code, but here are some key points:
I ran latency tests from several locations and captured the slowest response time for each URL. The results are below:
URL | Country | Origin Response Time | Cloudflare Cached Response Time | Fastify Cached Response Time |
---|---|---|---|---|
https://pillser.com/vitamins/vitamin-b1 | us-west1 | 240ms | 16ms | 40ms |
https://pillser.com/vitamins/vitamin-b1 | europe-west3 | 320ms | 10ms | 110ms |
https://pillser.com/vitamins/vitamin-b1 | australia-southeast1 | 362ms | 16ms | 192ms |
https://pillser.com/supplements/vitamin-b1-3254 | us-west1 | 280ms | 10ms | 38ms |
https://pillser.com/supplements/vitamin-b1-3254 | europe-west3 | 340ms | 12ms | 141ms |
https://pillser.com/supplements/vitamin-b1-3254 | australia-southeast1 | 362ms | 14ms | 183ms |
Compared to Cloudflare cache, Fastify cache is slower. That's because the cached content is still served from the origin, whereas Cloudflare cache is served from regional edge locations. However, I found that these response times are plenty to achieving good user experience.
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