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Lessons Learned Rebuilding A Large E-Commerce Website With Next.js (Case Study)

Smashing Magazine

Lessons Learned Rebuilding A Large E-Commerce Website With Next.js (Case Study). Lessons Learned Rebuilding A Large E-Commerce Website With Next.js (Case Study). To mitigate the performance issues, we had to add a lot of (unbudgeted) extra servers and had to aggressively cache pages on a reverse proxy. Jonne Kats.

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How to use Server Timing to get backend transparency from your CDN

Speed Curve

Caching the base page/HTML is common, and it should have a positive impact on backend times. Key things to understand from your CDN Cache Hit/Cache Miss – Was the resource served from the edge, or did the request have to go to origin? Latency – How much time does it take to deliver a packet from A to B.

Servers 57
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Analyzing a High Rate of Paging

Brendan Gregg

This is a rough post to share this old but good case study of using these tools, and to help justify their further development. Reads usually have apps waiting on them; writes may not (write-back caching). biolatency From [bcc], this eBPF tool shows a latency histogram of disk I/O. Counting cache functions.

Cache 78
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How To Add eBPF Observability To Your Product

Brendan Gregg

biolatency Disk I/O latency histogram heat map. cachestat File system cache statistics line charts. runqlat CPU scheduler latency heat map. Here are the top ten tools you can run and present as a generic BPF observability dashboard, along with suggested visualizations: Tool Shows Visualization. opensnoop Files opened table.

Latency 144
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Making Cloud.typography Fast(er)

CSS Wizardry

To further exacerbate the problem, the 302 response has a Cache-Control: must-revalidate, private. header , meaning that we will always make an outgoing request for this resource regardless of whether or not we’re hitting the site from a cold or a warm cache. com , which introduces yet more latency for the connection setup.

Latency 207
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How We Optimized Performance To Serve A Global Audience

Smashing Magazine

Each stage has its unique challenges and potential pitfalls, as other case studies show. While dynamic serving provides simplicity in implementation, it imposes significant time costs due to the computational resources required to generate the pages and the latency involved in serving these pages to users at distant locations.

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Analyzing a High Rate of Paging

Brendan Gregg

This is a rough post to share this old but good case study of using these tools, and to help justify their further development. Reads usually have apps waiting on them; writes may not (write-back caching). biolatency From [bcc], this eBPF tool shows a latency histogram of disk I/O. This is "cache busting."

Cache 40