StartยปBrazil

165 CloudFlare Nodes in 85 of totally 130 Countries

Visit this page regularly as it is updated daily. Last data update: 15-06-2026 07:46:24 UTC

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Brazil: 5 Nodes with 273 IP Addresses

CF Code
City
Country
CF IP-Country
BEL
BelemBrazil (BR)Brazil (BR)172.71.163.133
CWB
CuritibaBrazil (BR)Brazil (BR)172.69.201.146
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.68.14.10
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.68.14.11
GIG
Rio de JaneiroBrazil (BR)Venezuela (VE)172.68.14.18
GIG
Rio de JaneiroBrazil (BR)Germany (DE)172.68.14.198
GIG
Rio de JaneiroBrazil (BR)Chile (CL)172.68.14.212
GIG
Rio de JaneiroBrazil (BR)Germany (DE)172.68.14.39
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.68.14.62
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.68.14.63
GIG
Rio de JaneiroBrazil (BR)Germany (DE)172.68.14.72
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.68.187.14
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.69.90.102
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.69.90.103
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.69.90.152
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.69.90.153
GIG
Rio de JaneiroBrazil (BR)Germany (DE)172.69.90.21
GIG
Rio de JaneiroBrazil (BR)Hungary (HU)172.69.90.214
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.69.90.239
GIG
Rio de JaneiroBrazil (BR)Germany (DE)172.69.90.242
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.69.90.28
GIG
Rio de JaneiroBrazil (BR)Chile (CL)172.69.90.86
GIG
Rio de JaneiroBrazil (BR)Germany (DE)172.69.90.87
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.69.90.91
GIG
Rio de JaneiroBrazil (BR)Brazil (BR)172.69.91.13



Parse Time: 145.240 ms


Is Lazy Loading Always a Net Performance Win?


Lazy loading defers resource loading, but its overall benefit depends on context, rendering behavior, and server characteristics.

The Intended Benefit

Lazy loading reduces initial network payload by deferring offscreen images and assets.
This can improve first paint and reduce bandwidth consumption.

Browser Scheduling Complexity

Modern browsers schedule requests dynamically.
Aggressive deferral may delay resource discovery or introduce layout shifts.
The benefit is not purely additive; timing interactions matter.

Server-Side Considerations

Lazy loading affects client rendering more than backend generation.
If server execution time dominates TTFB, deferring images does not address that root cause.

Edge Cases

Infinite scroll implementations and dynamic galleries sometimes create additional script overhead to manage loading states.
That overhead can offset bandwidth savings.

Measuring Impact

Compare total transferred bytes, LCP, and backend latency independently.
A holistic view prevents over-crediting a single technique.

Conclusion

Lazy loading is powerful when bandwidth and rendering cost dominate.
It is neutral when backend execution is the primary constraint.

Key Takeaways

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