Internet Quality from AS35549

METRONET-AS — Metronet telekomunikacije d.d.

Internet Quality Index (IQI)

Estimated Internet quality based on measurements against a set of Cloudflare & third-party targets

Bandwidth

IQI estimated download speed under average utilization

Latency

IQI estimated round trip time under average utilization

DNS Response Time

IQI estimated domain lookup time under average utilization

AS35549 Information

Name: METRONET-AS
AKA: Metronet telekomunikacije d.d.
Country: Croatia
Estimated population: 12.17k users

ASes from the same organization: ASN Name
AS12810 VIPNET-AS
AS15994 A1HR
AS31012 DCM-AS
AS29485 AMISHR
AS25528 VODATEL-AS

ASN	Name
AS12810	VIPNET-AS
AS15994	A1HR
AS31012	DCM-AS
AS29485	AMISHR
AS25528	VODATEL-AS

Cloudflare Speed Test

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Cloudflare Radar

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Cloudflare Radar API

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Connection Quality

Characteristics based on aggregated Cloudflare speed test results over the previous 90 days

Performance Summary

Observed connection performance from Cloudflare speed tests

Bandwidth

Observed speeds from download and upload tests

Latency

Observed round trip times under idle and loaded conditions

Metric

LatencyJitter

Latest Internet quality blog posts

blog.cloudflare.com

Posts tagged with "Internet Quality" from the Cloudflare blog

Cloudflare Blog

Cloudflare 2024 Year in Review

The 2024 Cloudflare Radar Year in Review is our fifth annual review of Internet trends and patterns at both a global and country/region level.

David Belson

Dec 2024

Forced offline: the Q3 2024 Internet disruption summary

The third quarter of 2024 was particularly active, with quite a few significant Internet disruptions. Underlying causes included government-directed shutdowns, power outages, hurricane damage, terrestrial and submarine cable cuts, military action, and more.

David Belson

Oct 2024

Network trends and natural language: Cloudflare Radar’s new Data Explorer & AI Assistant

The Cloudflare Radar Data Explorer provides a simple Web-based interface to build more complex API queries, including comparisons and filters, and visualize the results. The accompanying AI Assistant translates a user’s natural language statements or questions into the appropriate Radar API calls.

David Belson, Sabina Zejnilovic

Sep 2024