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About Contact Us
AI-first engineering

Performance & Load Testing Services.

Logiciel helps engineering teams test how applications, APIs, and infrastructure behave under real-world demand. Find bottlenecks early, validate scalability, and release with greater confidence before traffic exposes the problems.

Get started

See Logiciel in action.

Tell us what you're building and we'll take it from there.

15+
Years building production software
120+
Engineers across delivery pods
75+
Clients served in North America
3K+
Successful product releases
Why Logiciel

Why Performance Testing Matters Before Traffic Does.

Why Logiciel · 01

Applications that work for ten users can behave very differently under thousands of concurrent requests.

Why Logiciel · 02

Slow APIs can affect entire user journeys even when the interface itself appears healthy.

Why Logiciel · 03

Performance bottlenecks often sit across application code, databases, infrastructure, networks, and external dependencies.

Why Logiciel · 04

Production traffic is the wrong time to discover that a system cannot handle expected demand.

Why Logiciel · 05

Average response times can hide latency spikes, saturation points, and failures under sustained load.

Why Logiciel · 06

Poorly designed performance tests can produce numbers without revealing what engineering teams should fix.

Why Logiciel · 07

Teams need performance testing tied to realistic workloads, measurable thresholds, and actionable diagnostics.

What you get

What You Get From Logiciel Performance Testing Services.

We combine workload design, performance engineering, system diagnostics, and test automation so teams can understand not only whether performance degrades, but why.

01

A performance testing strategy

aligned with architecture, production usage patterns, release risk, and expected growth

02

Realistic workload models

built around concurrency, transaction volume, request patterns, user journeys, and peak demand

03

Clear performance baselines

for response time, throughput, error rates, resource utilization, and system behavior

04

Bottleneck identification

across APIs, application services, databases, infrastructure, and external dependencies

05

Repeatable automated tests

that can be rerun across releases, environments, and scaling changes

06

Actionable engineering findings

that connect performance symptoms to likely technical causes and remediation priorities

07

A scalable performance practice

your engineering team can continue using as traffic, architecture, and product complexity grow

What we build

Performance Testing Across Your Application Stack.

01

Web Performance Testing

Validate response times, concurrency, throughput, page-level transactions, backend behavior, and high-value web journeys under realistic demand.

02

API Performance Testing

Measure latency, throughput, failure behavior, rate limits, dependencies, and scalability across individual APIs and service chains.

03

Mobile App Performance Testing

Test backend responsiveness, network-dependent behavior, critical mobile workflows, and service performance across realistic usage conditions.

04

Load Testing

Simulate expected and peak user demand to understand whether systems maintain acceptable performance under anticipated traffic.

05

Stress Testing

Push systems beyond normal capacity to identify saturation points, failure behavior, recovery characteristics, and architectural limits.

06

Endurance and Soak Testing

Run sustained workloads to uncover memory leaks, connection issues, resource exhaustion, degradation, and instability that appear over time.

07

Scalability Testing

Evaluate how application and infrastructure performance changes as users, transactions, services, and computing resources increase.

Highlights

Performance Testing Support That Fits Your Engineering Team.

01

Dedicated Performance Engineering Squad

What it meansA focused team works alongside your developers, QA engineers, DevOps teams, and architects to design, execute, analyze, and continuously improve performance testing.
02

Performance Testing Advisory and Team Extension

What it meansSenior specialists help your existing team improve workload design, tooling, test architecture, diagnostics, and performance engineering practices.
03

Outcome-Based Performance Testing

What it meansA defined engagement built around a launch, migration, peak event, architecture change, or specific performance objective with agreed test scenarios and deliverables.
Under the hood

Performance Testing Services We Deliver.

01

Performance Testing Assessment and Strategy

We review your architecture, current testing, production patterns, critical journeys, traffic expectations, performance risks, environments, and existing tooling.

Included
02

Load and Stress Testing

We simulate normal, peak, and beyond-capacity workloads to measure system behavior, identify thresholds, and understand failure conditions.

Included
03

API Performance Testing

We evaluate API latency, throughput, concurrency, dependency behavior, error rates, and service-level performance under controlled workloads.

Included
04

Web and Mobile Performance Testing

We test critical web and mobile journeys against realistic traffic patterns to identify backend and user-experience performance risks.

Included
05

Performance Test Automation

We build reusable test suites, workload scripts, environment configurations, reporting, and execution patterns for repeatable performance validation.

Included
06

Performance Diagnostics and Bottleneck Analysis

We correlate test results with application, database, infrastructure, and service behavior to narrow down likely causes of degradation.

Included
07

CI/CD Performance Testing Integration

We integrate appropriate performance checks into delivery workflows so regressions can be detected earlier without turning every build into a full-scale load test.

Included
Insights

Performance Testing Insights & Frameworks.

01

Workload Modeling Framework

A structured approach to translating production behavior into test scenarios using concurrency, transaction mix, request frequency, traffic growth, and peak demand.

Insights
02

Performance Bottleneck Mapping

A method for connecting latency, throughput, errors, and resource pressure to application services, databases, infrastructure, and external dependencies.

Insights
03

Performance Readiness Model

A practical framework for defining baselines, thresholds, test cadence, ownership, reporting, and release criteria as systems scale.

Insights
How we work

Our Performance Testing Framework.

01

Architecture and Performance Baseline

We review system architecture, traffic patterns, critical transactions, existing telemetry, environments, known constraints, and current performance expectations.

02

Workload and Scenario Design

We model normal usage, peak traffic, concurrency, transaction mix, sustained demand, and failure conditions around realistic system behavior.

03

Test Environment and Automation Setup

We configure performance testing software, test scripts, data, monitoring, execution infrastructure, and repeatable workload profiles.

04

Execution and Bottleneck Analysis

We run load, stress, endurance, or scalability tests and correlate results with application, database, infrastructure, and dependency behavior.

05

Optimization and Continuous Validation

We prioritize findings, rerun tests after changes, establish performance baselines, and help integrate repeatable checks into the engineering lifecycle.

Selected work

Tailored engineering for your industry.

Zeme · Real EstateCut development costs 50% and launched 3× faster with dedicated dev teams.
Real Estate

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Leap · ConstructionScaled to 7-figure ARR with AI-augmented software teams.
Construction

Scaled to 7-figure ARR with AI-augmented software teams.

KW · Real Estate56M+ workflows automated, saving agents 30% time with AI-powered tasks.
Real Estate

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

In their words

What our clients say.

Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.

Patrick Fingles

I would highly recommend them to anyone looking to scale quickly or needing support in engineering, product, or QA.

Patrick Fingles
Patrick Fingles
CEO, Leap
Elior Alayev

We don't just call them Logiciel; they're part of the Zeme team. Within the first week they were contributing meaningfully to our codebase.

Elior Alayev
Elior Alayev
Founder & CEO, Zeme
David Buzzelli

The Logiciel team worked tirelessly and built everything we needed, with security and best practices across our entire platform. It allowed us to become #1 in our industry, and we couldn't have done it without them.

David Buzzelli
David Buzzelli
Co-Founder, JobProgress
Questions

Frequently asked questions.

What are performance testing services?

Performance testing services evaluate how software behaves under different levels and types of demand. They help teams measure response time, throughput, stability, resource usage, scalability, and failure behavior before performance issues affect production users.

What is the difference between performance testing and load testing?

Performance testing is the broader discipline of evaluating speed, stability, scalability, and system behavior. Load testing is one type of performance testing focused on how a system behaves under expected or peak levels of demand.

What does API performance testing measure?

API performance testing can measure response time, throughput, concurrency, error rates, service dependencies, rate-limit behavior, and how APIs respond as request volume increases.

Can you test web and mobile application performance?

Yes. Web performance testing and mobile app performance testing can evaluate critical user journeys, backend services, APIs, network-dependent behavior, and system response under realistic usage conditions.

Which performance testing software do you use?

The right performance testing software depends on your architecture, protocols, workload requirements, infrastructure, existing engineering stack, and reporting needs. We can work with suitable existing tools or recommend a fit based on the testing objective.

When should performance testing happen?

Performance testing is most useful before major releases, infrastructure changes, cloud migrations, high-traffic events, architectural changes, and expected growth. Mature teams also use repeatable performance checks throughout the development lifecycle.

Can performance testing identify the cause of a slowdown?

Performance tests reveal where and when degradation occurs. Combined with application, database, infrastructure, and observability data, they can help narrow the problem to specific services, queries, resource constraints, dependencies, or architectural bottlenecks.

Let's build

Know Your Performance Limits Before Your Users Do.

Validate capacity, uncover bottlenecks, and understand how your system behaves before the next release, traffic spike, or scaling event puts it under pressure.