Website Uptime Monitor

Monitor website availability and server information for any domain

cstu.edu

Uptime & Server Information

Current Status

Status
Active
Server Type
nginx/1.10.3 (Ubuntu)
Page Title
California Science and Technology University | CSTU.edu
Meta Description
California Science and Technology University offers advanced courses in Artificial Intelligence and Tensor Flow | Big Data | Digital Marketing | Emerging Technology | Financial Management | Machine Learning | Master of Business Administration (MBA) | Machine Learning | Software Design | Founded 2011 | Licensed to operate by BPPE of California | CSTU.edu
Meta Keywords
Python class,Machine learning,Deep learning,AI,Artificial Intelligence,AI Training,AI Applications,TensorFlow,PyTorch,Cloud Computing,Technology University,Bay area training school,Computer Science,Business Analytics,Big Data,Data Analysis,Data Science,Project management,E-Marketing,MBA,Education,EDD training Program,EPTL
Most Recent Data
0 hours, 0 minutes ago

Historical Data

DateStatusServer
6/9/2025, 4:58:01 AMActivenginx/1.10.3 (Ubuntu)
6/6/2025, 7:22:57 PMActivenginx/1.10.3 (Ubuntu)
5/25/2025, 6:53:00 PMActivenginx/1.10.3 (Ubuntu)
5/5/2025, 4:52:25 PMActivenginx/1.10.3 (Ubuntu)
1/9/2025, 4:22:36 PMActivenginx/1.10.3 (Ubuntu)

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