Cognizant Hiring Freshers for Performance Testing – SRE Role

Apply Link: https://cuvette.tech/app/other-jobs/67aae0903200c61f1434b2be?referralCode=YXA3GX

Skills Required: Java, C, C++, Python

Salary: 4-9 LPA

Practice Commands and Codes:

1. Java Performance Testing Example:

public class PerformanceTest {
public static void main(String[] args) {
long startTime = System.currentTimeMillis();
// Your code here
long endTime = System.currentTimeMillis();
System.out.println("Execution time: " + (endTime - startTime) + "ms");
}
}

2. Python Performance Testing Example:

import time

start_time = time.time()

<h1>Your code here</h1>

end_time = time.time()
print(f"Execution time: {end_time - start_time} seconds")

3. Linux Command for Monitoring System Performance:

top -b -n 1 > performance_report.txt

4. Windows Command for System Performance Check:

[cmd]
typeperf “\Processor(_Total)\% Processor Time” -sc 10
[/cmd]

5. C++ Performance Testing Example:

#include <iostream>
#include <chrono>

int main() {
auto start = std::chrono::high_resolution_clock::now();
// Your code here
auto end = std::chrono::high_resolution_clock::now();
std::chrono::duration<double> elapsed = end - start;
std::cout << "Execution time: " << elapsed.count() << "s\n";
return 0;
}

What Undercode Say:

Performance testing is a critical aspect of software development, ensuring that applications run efficiently under expected workloads. Tools like JMeter, Gatling, and Locust are widely used for performance testing. In Linux, commands like top, htop, and `vmstat` help monitor system performance, while Windows offers `perfmon` and `typeperf` for similar purposes. For developers, understanding how to measure execution time in different programming languages is essential. Java’s System.currentTimeMillis(), Python’s time.time(), and C++’s `` library are fundamental for performance analysis. Additionally, integrating performance testing into CI/CD pipelines using tools like Jenkins or GitHub Actions can automate the process, ensuring consistent performance benchmarks. For further reading on performance testing methodologies, visit Performance Testing Guide. Always remember, optimizing code and infrastructure is a continuous process, and performance testing is the key to identifying bottlenecks early in the development cycle.

References:

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