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Syed Mustafa Ali

FAST · 2021 · i17 - 0253
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2021
Education
SEECS
Address
DOB

Career

Current role
Target role
Skills
Java, Springboot, Mysql, ReactJS, Linux kernel, Linux sysstat

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
CloudXplor 
A monitoring system for on premise distributed environments. This system allows its users to 
monitor multiple end users systems in a distributed environment, and then view their metrics in a 
single dashboard. Our problem statement is that: 
1) Difficulty of monitoring multiple systems/servers in an industrial environment. 
2) Combining monitoring data from multiple systems in a single dashboard. 
3) Getting insight into efficiency of deployed code. 
4) Getting insight into efficiency and health metrics of Database Servers. 
Our solution involves a single web application which combines different system metrics from 
multiple sources. Retrieving and displaying metrics in real time. Code profiler for getting code 
related metrics and efficiency insights.  
We have limited our scope to monitoring only linux based systems, with Databases running on the 
MySql environment, and profiling Java codes. The system operates flawlessly with multiple end 
user systems connected, and displays the data collected in the form of informative graphs and 
tables. This helps the user to easily identify the performance issues of their deployed machines and 
code 
 
 
 
 
Technology Used: 
Java springboot, Mysql, ReactJS, Linux kernel,  
MySql Sys_schema, Linux sysstat 
Supervisor Name: 
Mr. Ahmed Nawaz, Dr Muhammad Asim 
Group Members:   
Furrukh Khan (i17 - 0085) 
Omar Ahmed (i17 - 0040) 
                                                                                                                                Syed Mustafa Ali (i17 - 0253)

AI enrichment

Syed Mustafa Ali is a BSCS graduate who contributed to a group project developing a web-based monitoring system for distributed Linux environments. The project utilized Java Spring Boot and ReactJS to aggregate real-time metrics and profile Java code efficiency.
Skills (AI)
["Java", "Spring Boot", "ReactJS", "MySQL", "Linux", "System Monitoring", "Code Profiling"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdf
From job #24 page 205
Created: 1778144136