What is the difference between load testing and stress testing?

Load testing verifies the system performs acceptably under expected and above-expected real-world traffic. Stress testing intentionally pushes beyond that to find the actual breaking point and understand how the system fails.

Can you test before a major sales event or product launch?

Yes, this is one of the most common reasons clients bring us in, specifically to validate readiness before a high-stakes traffic event. We recommend starting several weeks ahead so there is time to act on findings.

Do you also help fix the bottlenecks you find, or just report them?

We deliver a detailed bottleneck analysis and prioritized recommendations, and we can also assist with the actual optimization work if you want hands-on support. Some clients prefer to hand findings to their own engineering team instead.

Quality Engineering

Performance Testing

Quantum Altus runs load, stress, and scalability testing to identify bottlenecks and confirm your application holds up under real-world and peak traffic conditions.

Discuss Performance Testing

Who It's For

Built For Teams Like Yours

E-commerce and retail businesses preparing for high-traffic sales events

SaaS companies needing to validate scalability before a major growth push

Businesses that have experienced slowdowns or outages under real user load

Teams migrating infrastructure who need to benchmark before and after

Companies with SLAs that require demonstrated performance guarantees

The Problem

Business Problems We Solve

The application slows down or crashes during peak traffic periods

There is no data on how many concurrent users the system can actually handle

Database queries or API calls become bottlenecks under real-world load

Infrastructure scaling decisions are being made without performance data to back them

A past outage during a critical business event damaged customer trust

What Quantum Altus Delivers

What You Get

Load testing results showing behavior under expected and peak traffic

Stress testing results identifying the system's actual breaking point

Bottleneck analysis pinpointing slow queries, endpoints, or infrastructure limits

Scalability recommendations grounded in real test data

Performance benchmark report for before/after comparison on infrastructure changes

Automated performance test suite for ongoing regression monitoring

Key Capabilities

Features & Capabilities

Load Testing

We simulate expected and above-expected concurrent user traffic to verify the system performs acceptably under real conditions. This validates readiness before a launch or high-traffic event, not after.

Stress Testing

We push the system beyond normal limits to find the actual breaking point and how it fails. Knowing exactly where and how failure happens is essential for planning capacity and mitigation.

Bottleneck Identification

We pinpoint whether slowdowns originate from database queries, API response times, or infrastructure limits. This gives engineering teams a precise target instead of guessing where to optimize.

Scalability Analysis

We provide data-backed recommendations on how the system scales with additional load and where architectural changes would help most. This informs infrastructure investment with evidence, not speculation.

Benchmark Comparison

We establish performance baselines so you can measure the real impact of infrastructure or code changes over time. This turns "it feels faster" into a measurable, defensible claim.

Ongoing Performance Regression Testing

We build automated performance tests into your pipeline so performance regressions are caught before release, not after a customer complaint. Performance becomes a continuously monitored metric, not a one-time check.

Technology

Tech Stack

k6JMeterGatlingLocustGrafanaPrometheusNew RelicAWS CloudWatch

Benefits

Why It Matters

Confidence the application will hold up during peak traffic events

Precise identification of what to optimize instead of guessing

Reduced risk of outages that damage customer trust and revenue

Data-backed infrastructure scaling decisions

Measurable proof of performance improvements over time

Performance regressions caught before release instead of after

Delivery Approach

How We Deliver This

Discovery

Define expected and peak load scenarios and key performance goals

Design

Build realistic load models and identify critical transactions to test

Build

Set up the test environment and scripts to simulate target load patterns

Test

Execute load, stress, and scalability tests and capture detailed metrics

Launch

Deliver the bottleneck analysis and prioritized optimization recommendations

Support

Set up ongoing automated performance monitoring for future releases

FAQ

Performance Testing — FAQ

We scale load testing to whatever peak scenario is relevant to your business, whether that is a few thousand or many tens of thousands of concurrent users. We define the target load together during discovery based on your actual or projected traffic.

Explore More

Related Services & Products

API Testing

We validate your APIs for functionality, reliability, security, and performance before they become someone else's production incident.

Test Automation

We build maintainable automated test suites that give your team fast, reliable feedback on every code change.

CI/CD Quality Gates

We design automated quality gates in your CI/CD pipeline so untested or risky code cannot reach production unnoticed.

Legacy System Modernization

Modernize aging systems into secure, maintainable platforms without disrupting the operations that depend on them.

Ready to talk about performance testing?

Tell us about your project and we'll get back to you within one business day.