Development We ensure stability for systems where failure is not an option
We investigate system behavior under load with a multidisciplinary team — QA engineers, developers, DevOps, and analysts working together
Medical Systems
Platforms where stability is a matter of patient safety and data security
Enterprise Platforms
ERP, CRM, and integrations serving thousands of users
IoT and Embedded Systems
Thousands of devices operating concurrently in real time
AI/ML Services
AI‑model performance under high load, where both speed and accuracy matter
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.
At every stage you receive a weekly report: status, risks, achievements, and plan. Full transparency is the standard, not an option.
Tools and Technologies
Load generators
01
Monitoring and APM
02
Protocols
03
Analysis and reporting
04
Infrastructure
05
Ready to stress-test your system? Tell us about the project — we'll tailor the approach
Case Studies
Rostelecom — load testing of Oracle EBS
We built a load testing process for a high-traffic ERP system from the ground up. The LT framework is built on open-source tooling. The partnership has lasted 9 years.
Read case study
Третьяковская галерея
Tretyakov Gallery — load testing of the ticketing portal
We identified bottlenecks and helped the system withstand peak traffic following massive demand for the Serov exhibition. 100,000+ visitors per day.
Read case study