Website Uptime Monitor
Monitor website availability and server information for any domain
Current Status
Status
Active
Server Type
envoy
Page Title
Hyperloglog Project | PDF
Meta Description
The document discusses using probabilistic data structures like Hyperloglog and Bloom filters to estimate the number of unique users or elements in a massive streaming data in real-time. Hyperloglog works by counting the number of leading zeros in randomly generated binary numbers to estimate unique elements. While it provides an approximate count, it is very space and memory efficient. The document provides an example pipeline for processing ad viewing data and counting unique users in subgroups using both Hyperloglog and Bloom filters. - Download as a PDF, PPTX or view online for free
Meta Keywords
Not available
Most Recent Data
0 hours, 0 minutes ago
Historical Data
| Date | Status | Server |
|---|---|---|
| 8/15/2025, 3:25:48 PM | Active | envoy |
| 6/8/2025, 7:34:49 AM | Active | envoy |
About Website Uptime Monitoring
Use the Who.is uptime information to track the availability and server information of websites. This helps track:
- Website availability and response status
- Server software and configuration
- Meta information including titles and descriptions
- Historical uptime patterns
This information is valuable for website owners, system administrators, and anyone interested in monitoring website reliability and performance.
Disclaimer: Who.is is not affiliated with, endorsed by, or connected to any of the domains displayed on this page. We provide this information as a public service for informational purposes only.
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Metrics we monitor
- Uptime Percentage: The percentage of time your website is accessible
- Response Time: How quickly your server responds to requests
- Status Codes: HTTP response codes indicating server status