Most SEO crawlers struggle with large websites because crawling is only half the problem — queue management, concurrency, rate limiting, duplicate detection, and memory usage become the real bottlenecks.
In this post, I’ll share the architecture decisions, crawling pipeline, and backend strategies I’m using while building WebKernelAI.
Top comments (1)
Would love to hear how others are handling large-scale crawling challenges.
Especially around:
Still improving the architecture while building WebKernelAI, so curious how other backend engineers approach this problem.