We ensure stability for systems where failure is not an option

Not template scripts. We investigate architecture under load, find failure points, and provide recommendations at the code, infrastructure, and business‑process level.
Load testing of medical systems
Medical Systems
Platforms where stability is a matter of patient safety and data security
Load testing of enterprise platforms
Enterprise Platforms
ERP, CRM, and integrations serving thousands of users
Load testing of IoT and embedded systems
IoT and Embedded Systems
Thousands of devices operating concurrently in real time
Load testing of AI and ML services
AI/ML Services
AI‑model performance under high load, where both speed and accuracy matter
Kaspersky Rostelecom РУСАЛ ПКБ SCOUT

Sound familiar?

Typical scenarios our clients bring to us
01
The system is going to production, but no one knows how many users it can actually handle
02
You're changing the architecture — migrating to microservices, switching databases, moving to the cloud — and need to understand the impact on performance
03
A seasonal peak or marketing campaign is approaching, and you're not confident the infrastructure will hold up
04
The system runs, but there are unexplained timeouts, performance degradation under load, resource leaks — and the root cause is unknown

What You Get

Performance map

A complete picture of system behavior under load: metrics, degradation graphs, and threshold values for every component

Root causes

Specific bottlenecks with identified sources — in code, configuration, database, or infrastructure

Optimization plan

Prioritized recommendations with concrete steps — what to fix, in what order, and what improvement to expect

How We Work

01
Deep system immersion
We analyze the architecture together with your team: developers, DevOps, analysts. We study not only the stack, but also the business logic, usage patterns, and integration points — to see the system as a whole.
02
Research and methodology
We build the load model from real data, not templates. For non-standard scenarios — IoT‑protocols, ML‑inference, complex integrations — we develop the methodology from scratch.
03
Proof of Concept on a limited scope
Before full-scale testing we validate hypotheses on a limited scope. This surfaces critical issues early and allows us to refine the approach before the main test runs.
04
Experimental testing
Each iteration is an experiment with a clear hypothesis. We vary parameters, isolate variables, and record behavior. We investigate the system rather than just running through a checklist.
05
Architectural analysis and recommendations
Not just a report with graphs — a full architectural breakdown: what to change at the code, infrastructure, and business‑process levels. With priorities and an estimated impact for each recommendation.
Transparency at every stage

Weekly reports include iteration results, identified bottlenecks, degradation metrics, and an updated plan. You see what's happening with the system — not just wait for the final document.

Tools and Technologies

Load generators
01
JMeter Gatling Neoload
Monitoring and APM
02
Grafana Prometheus Zabbix
Protocols
03
HTTP/HTTPS WebSocket gRPC JDBC SOAP
Analysis and reporting
04
Kibana Allure Confluence Grafana Dashboards
Infrastructure
05
Docker Kubernetes AWS

Frequently Asked Questions

What is the difference between load testing and stress testing?

Load testing verifies the system under expected and peak load — to understand whether it can handle real-world usage. Stress testing goes further: we intentionally exceed limits to find the breaking point and understand how the system degrades. Most projects require both approaches.

How do you model real load rather than synthetic?

We start from real data: logs, APM metrics, user session profiles. We build a load model that reproduces actual patterns — including concurrent access, background jobs, and integration calls. Template-based synthetics won't reveal where the system will break.

What do we need to provide to get started?

Access to architecture documentation (or willingness to walk us through it), a test environment (or we'll help set one up), and a technical contact for questions. You don't need ready-made scripts or load requirements upfront — that's our job.

Do you only test or also help fix issues?

The primary deliverable is diagnostics and recommendations with concrete steps. If you need help with implementation, we bring in engineers to optimize at the code, configuration, or infrastructure level. We discuss the format separately.

How much does it cost and how long does it take?

It depends on system complexity and testing depth. An initial audit takes from 2 weeks, comprehensive testing — from a month. Cost is determined after studying the architecture — reach out, and we'll discuss your case.

Ready to stress-test your system? Tell us about the project — we'll tailor the approach

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Thank you!

We'll get back to you within one business day.

Something went wrong

Please try again or contact us later.

Contact us