Common signs: launch or peak traffic coming and no idea of limits. Usual causes: untested database queries, no caching and single servers. What we do: simulate real users, find the breaking point and the bottleneck. What you get: a load test report and fix plan.
Our load testing service shows how your web app or API behaves when hundreds or thousands of people use it at once, before a launch, campaign or exam day does it for you. A Codersarts performance engineer scripts realistic user journeys, ramps up traffic, finds the breaking point and the bottleneck behind it, and tells you how to fix it. Fixed price from $199 with 1-day delivery.
Load Testing at a Glance
Item | Details |
|---|---|
Starting price | $199 for up to 5 user flows |
Delivery | 1 day for a standard test |
Tools | k6, Locust, JMeter or Artillery |
Measures | Response time (p50, p95, p99), errors, throughput and server resources |
Test types | Load, stress, spike and soak tests |
What you get | A load test report, the bottleneck and a fix plan |
Revisions | One retest after fixes included |
What Is Load Testing?
Load testing simulates many users using your app at the same time to measure how response times, error rates and server resources change as traffic grows. It answers practical questions: how many concurrent users can we handle, what breaks first, and what do we need to change before a launch or peak period?
Signs You Need a Load Test
A launch, campaign or seasonal peak is coming
A college, client or partner is about to bring thousands of users at once
The app slowed down or crashed during a past traffic spike
You don't know how many users your current servers can handle
You're about to pay for bigger servers without knowing if that's the bottleneck
Why Apps Slow Down Under Load
Slow database queries
Missing indexes and heavy queries that are fine for 10 users become the bottleneck at 1,000.
No caching
Every request recomputes the same data.
A single server
One instance with no load balancing or autoscaling.
Connection limits
Database or connection pool limits reached long before CPU.
Synchronous heavy work
Emails, reports or AI calls done inside the request instead of in a background job.
Quick Checks You Can Try First
Check your slowest pages in your hosting or APM dashboard.
Look at database CPU and connections during your busiest hour.
Make sure static files are served from a CDN.
Move emails and reports into background jobs.
If the problem remains, our engineers take it from there.
How We Load Test Your App
Plan. We agree the user journeys, target users and success criteria.
Script. We script realistic flows, such as login, browse, submit and checkout.
Ramp up. We increase virtual users step by step to the target and beyond.
Monitor. We watch response times, errors, database and server resources.
Find the bottleneck. We trace the first limit hit back to its cause.
Report. We give you results, the bottleneck and a prioritized fix plan.
What You Get
Load test scripts you can rerun
Results at each load level: p95 response time, error rate and throughput
The breaking point and the bottleneck behind it
A prioritized fix plan with expected gains
A retest after fixes
Example result (illustrative)
A student coding platform expected 3,000 users during exams. The test showed errors from 600 concurrent users, caused by a missing database index and synchronous code analysis. After adding the index and a job queue, the retest held 3,000 users with p95 response times under 800 ms.
What Is Included and Not Included
Included | Not included |
|---|---|
Up to 5 user flows in one environment | Testing many separate applications |
Load, stress or spike testing | Fixing every bottleneck found (available separately) |
Bottleneck analysis and fix plan | Paying for large cloud test infrastructure |
One retest after fixes | Testing third-party services you don't control |
Pricing for Load Testing
Package | Best for | Starting at | Delivery |
|---|---|---|---|
Standard load test | Up to 5 flows, one target load | $199 | 1 day |
Capacity plan | Load, stress and spike tests with a scaling plan | $599 | 3 days |
Test plus fixes | We test and fix the bottlenecks | Custom quote | Agreed with you |
You get a fixed quote after we review your setup. You approve the scope before any payment.
Who This Is For
Startups before a launch or campaign
EdTech platforms before exams or enrollment
E-commerce stores before sales events
SaaS teams planning infrastructure spend
Agencies handing over apps to clients
What We Need From You
A staging environment that matches production
The main user journeys and target number of users
Test accounts and test data
Access to server and database monitoring
Code and data privacy
We sign an NDA on request, work with the least access needed, and never keep copies of your data after delivery. You own all code, configuration and notes.
Key Terms Explained
Concurrent users: people using the app at the same moment
p95 response time: 95% of requests are faster than this
Throughput: requests handled per second
Stress test: pushing beyond expected load to find the breaking point
Soak test: running steady load for hours to find leaks
Common Mistakes We Avoid
Testing production without warning anyone
Testing only the home page instead of real user journeys
Buying bigger servers before finding the real bottleneck
Ignoring error rates and looking only at averages
Need More Than One Task?
Need a full scalability review and redesign? See Scalability Engineering and Performance Engineering. Or use Prepaid Developer Hours to cover several tasks from one prepaid balance.
Related Tasks
Redis Caching Setup to speed up repeated requests
Load Balancer Setup to spread load across servers
API Rate Limiting Setup to protect your API under load
Frequently Asked Questions
What is the difference between load testing and stress testing?
Load testing checks performance at expected traffic. Stress testing pushes beyond it to find the breaking point.
Can you test our production app?
We prefer a staging copy. If production is the only option, we agree time windows and limits in advance.
Which tools do you use?
Usually k6 or Locust, sometimes JMeter or Artillery, depending on your stack.
How many users can you simulate?
From a few hundred to tens of thousands, depending on scope and test infrastructure.
Will you fix what you find?
The test includes a fix plan. Fixes can be added as a separate task or with prepaid hours.
Know Your Limits Before Your Users Do
Share your app and expected traffic, and a Codersarts performance engineer will find out what breaks first and how to fix it.