Syed Mustafa Ali
FAST
· 2021
·
i17 - 0253
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
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Year
2021
Education
SEECS
Address
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DOB
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Career
Current role
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Target role
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Skills
Java, Springboot, Mysql, ReactJS, Linux kernel, Linux sysstat
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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 monitoring system for distributed Linux environments using Java Spring Boot and ReactJS. The project focused on real-time metric visualization and code profiling for Java applications and MySQL databases.
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).pdfFrom job #24 page 205
Created: 1778144159