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Load testing and stress testing of web platforms, APIs, and databases

Find the exact capacity limit of your infrastructure before real customers test it during promotions or TV advertising. We simulate from 1 000 to 100 000+ concurrent users with Locust, k6, and Apache JMeter. We find slow SQL queries, memory locks, and server bottlenecks.

✓ Simulation of up to 100 000+ virtual users: realistic behavior with pauses and clicks
✓ Finding the exact failure point (Breaking Point): determining the maximum RPS without errors 5xx
✓ Deep resource monitoring: detection of memory leaks, database deadlocks, and connection shortages
✓ Official stability certificate: detailed engineering report with optimization recommendations
Locust (Python Distributed) Grafana k6 Cloud Apache JMeter Stress & Soak Testing Bottleneck Root-Cause Analysis
Get testing plan
Formats and pricing
ALL IT • SERVICE SPEC
SLA 99.9%
[QA and SOFTWARE TESTING] WARRANTY UNDER AGREEMENT
Stress-test of distributed load

Virtual users: 25,000 • RPS: 4,200 • Average response time: 84ms • Errors: 0.00%

⏱ Start: 1–3 days 🛡️ NDA: 100% SLA Warranty
📈
25,000 Users
Simultaneous Inflow
⚡
84ms Latency
Excellent Speed
🛡️
0% Errors
No Errors
🎯
Breaking Point
Limit Defined
✓ Official contract with fixed cost of work
✓ 100% transfer of rights to code and configuration to the customer
✓ Assigned leading engineer and support 90 days
FULL TRANSFER OF RIGHTS CONTRACT + WARRANTY
[ FINANCIAL STABILITY ]

How much does the business cost due to unknown system limits?

Load testing turns the fear of a sale into mathematically accurate confidence

[ 01 ]

Confidence in Conducting Large-Scale Campaigns

You definitely know how many people the site can handle at the same time, when bloggers publish ads or a mailing starts.

[ 02 ]

Preventing "drop" of databases during checkout

Detecting situations of row-level mutual blocking (Deadlocks) in databases during mass ordering of the same product.

[ 03 ]

Cost savings on server resources

Tests show which servers are actually needed, and where you rent extra capacity out of fear of failure.

[ 04 ]

Verification of Recovery After Failures (Spike Testing)

We check if the system is able to recover on its own after a sudden 10-fold traffic surge without admin involvement.

Stages of Load Testing

What is included in the comprehensive performance audit under load

System infrastructure check using 4 classical load models

[ STEP 01 ] Model

Design of Load Model (Workload Model)

We analyze historical Google Analytics data, create realistic buyer behavior profiles (view percentage, cart, and payment).

[ STEP 02 ] Scripts

Development of Test Scenarios (Locust / k6)

We are writing user action simulation scripts: randomization of pauses between actions (Think Time), unique authentication data and carts.

[ STEP 03 ] Load Test

Basic Performance Testing (Baseline Load Test)

We provide normal expected load for fixing basic indicators of page response time and CPU consumption.

[ STEP 04 ] Stress Test

Stress testing for failure (Stress / Breaking Point)

We gradually increase the load step by step, until the system starts returning errors, accurately determining the stability threshold.

[ STEP 05 ] Endurance

Durability testing (Soak / Endurance Test)

We maintain a moderate stable load for 6–12 hours to detect hidden memory leaks and disk fullness.

[ STEP 06 ] Reporting

Report and step-by-step recommendations for optimization

We provide a detailed engineering report with delay charts, list of slow SQL queries, and instructions for developers.

[ Tariff Plans ]

Test execution packages

Choose the test scale accordingly to the planned peak traffic

Quick Verification Before Starting Advertising Campaigns

Pre-Sale Express Load Test

Basic stress testing with load up to 5 000 simultaneous users to detect critical configuration server errors.

Development time: from 3–5 days
Work Scope:
✓ Development of load model for the main order funnel
✓ Simulation up to 5 000 simultaneous virtual users
✓ Definition of the current point of failure (Breaking Point)
✓ Monitoring of CPU load, memory, and database usage
✓ Summary Report with Noted Identified Limits
✓ 14 days of consultation support
Choose 'Express Load' tariff
Most popular for large e-commerce and SaaS ★ Popular

Deep Stress & Soak Audit

Deep complex: stress test to 25 000 users, 8-hour endurance test, memory leak detection and database optimization.

Development time: from 1–2 weeks
Work Scope:
✓ Everything that is included in the package «Express Load»
✓ Simulation up to 25 000 virtual users (up to 5 000 RPS)
✓ Stress test (Soak Test) lasting 8 hours
✓ Testing of traffic spikes (Spike Testing)
✓ Analysis of slow SQL queries with specific recommendations regarding indexes
✓ Repeated control run after developers' corrections
Select 'Deep Stress Audit'
For national leaders, banks and fintechs

Enterprise Distributed Scale 100k+

Large-scale distributed tests from multiple data centres worldwide: over 100 000 users, K8s autoscaling checks, and certification.

Development time: from 3–4 weeks
Work Scope:
✓ Everything that is included in the package 'Deep Stress & Soak Audit'
✓ Distributed traffic generation from 5+ geographic locations
✓ Load beyond 100 000 users / 20 000+ RPS
✓ Testing behavior of microservices and Kafka / RabbitMQ
✓ Speed testing of automatic scaling of Kubernetes clusters
✓ Official certificate of infrastructure resilience for management and partners
Choose 'Enterprise Scale 100k+'
← Swipe options →
[ COST CALCULATOR ]

Calculate the cost of load testing

Select the expected traffic volume and the number of test scenarios

1. Target number of concurrent users: Select Variant

2. Load Object: Select Variant

3. Required types of tests: Select Variant

CHOOSEN PARAMETERS OF THE SOLUTION:
⏱ Estimated Timeline: Calculation... 👥 Team: 2–3 engineers
1. Target number of concurrent users: Up to 3 000 – 5 000 concurrent users
2. Load Object: Website with HTML page rendering and cart
3. Required types of tests: Stress Test (Breaking Point Stress Test)
✓ Parameters will be fixed in the application form
Get an exact quote
[ STAGES OF COOPERATION ]

How the project is delivered

Transparent process from first contact to final release on your domain.

01
2–3 days

Load Profile Formation

We study analytics, identify key pages, and calculate the share of each user action

02
3–5 days

Development of test scripts in Locust

We write code for load generation with response validation, unique data transmission and cart functionality

03
2–4 days

Conducting test runs

Testing starts according to agreed schedule (on test stand or at night), we monitor all metrics.

04
2–3 days

Telemetry Analysis and Bottlenecks

Comparing RPS graphs, response time, CPU load and database for identifying the causes of slowdown.

05
1 Day

Presentation of report and recommendations

We are providing a detailed report with exact system limits and specific recommendations for the technical team.

Our Clients

Companies that have entrusted ALL IT Agency with the development and scaling of their digital solutions

Partner Case 11
Partner Case 6
DIM Service
Partner Enterprise
Meregi Group
Partner Case 5
Valikhnovski Surgery Institute
TOV Zagin Alpha
Wizeclub
Partner Case 11
Partner Case 6
DIM Service
Partner Enterprise
Meregi Group
Partner Case 5
Valikhnovski Surgery Institute
TOV Zagin Alpha
Wizeclub
[ FREQUENT QUESTIONS ]

Answers to common questions from customers

Key details regarding terms, independent website editing, and rights transfer.

Ideal option — test an exact copy of the site (Staging), so as not to interfere with customers. If creating a full copy is impossible, we conduct stress tests during a coordinated nighttime window (for example, from 02:00 to 05:00), alternating with your technical team and having the possibility to instantly stop the traffic generator at 1 click.

Apache JMeter uses a heavy "user-per-thread" (thread-per-user) model, which itself consumes gigabytes of memory on the generator and has a cumbersome XML interface. Locust is written in Python with an asynchronous gevent engine: scenarios are described by clean code, one generator easily simulates tens of thousands of connections and provides convenient real-time web graphs.

This is the main value of the audit — to find out about the problem in advance! Our report contains not just a statement of fact, but specific instructions: which exact SQL query blocked the database, which PHP-FPM parameter exhausted the process limit, or which caching level needs to be enabled to increase the durability by 5–10 times.

Before starting the testing, we agree on the IP address ranges of our generators. As needed, we submit an official notice to the support service of AWS, Google Cloud, or the hosting provider about the planned testing (Penetration & Load Testing Notice), to avoid blocks at the provider's protection level.

A short 10 minute test shows peak throughput capacity, but does not reveal "slow killers": memory leaks in background workers, disk overflows with logs or hanging open connections to the database. Only a long 6–12 hour load guarantees that the system will not crash on the second day of a long sale.

Share this service with partners or colleagues

Fast delivery to the working chat or copying the link for budget approval

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Would you like to find out the real strength limit of your system?

Describe the expected traffic and server configuration. Our lead load testing engineer will develop a testing plan within 24 hours.

Confidentiality

Official NDA contract for system audit

Quick Feedback

We will contact you within 15 minutes during business hours.

Order load testing

The tech lead will contact you within 15 minutes during working hours