Know Your System Will Hold Up Before the Big Day
A launch, a campaign or a growth spike is the wrong time to find out where your system breaks. We load test it beforehand, find the bottlenecks and fix the causes in code, database or infrastructure, then test again to confirm.
Core stackPlaywright · Selenium · Postman · Apache JMeter · OWASP ZAP · SonarQube · Azure DevOps · GitHub Actions
When Performance Testing Is Due
Performance work usually starts with a date on the calendar or a complaint about speed.
Slow because of how the cloud is set up?
If the issue looks like sizing, hosting or cost, a cloud review may be the quicker first step.
Cloud consultingA big launch or campaign is coming
Marketing is planning a push and nobody knows whether the system will cope with the traffic.
The app slows down at busy times
Pages and APIs that are fast in the morning crawl at peak hours or at month end.
You don't know how many users the system can handle
There is no tested number, so growth plans rest on a guess.
Adding servers has stopped helping
The hosting bill went up but the slowdowns stayed, because the real cause is somewhere else.
Six Parts of Performance Testing
Pick one to see what it usually involves and how we typically build it.
Load testing
Simulating the number of users you expect on a busy day and at launch, then measuring response times and errors.
- Realistic user journeys
- Response times under load
- Error rates by step
Stress and capacity testing
Pushing past expected traffic to find where the system breaks, how it fails and how many users it can actually handle.
- Breaking point tests
- Sudden spike tests
- Capacity figures for planning
API performance testing
Testing APIs directly under load, so slow endpoints are found without the noise of the UI.
- Endpoint response times
- Throughput limits
- Third-party API dependencies
Finding bottlenecks
Tracing slow responses to their source, whether that is a query, a piece of code, a missing cache or an undersized server.
- Slow query analysis
- Code hot spots
- Infrastructure limits
Fixing the causes
Our engineers fix what the tests reveal in the code, the database or the infrastructure, instead of handing you a list of problems.
- Query and index fixes
- Code and caching changes
- Hosting and scaling changes
Retesting to confirm
Running the same tests again after each fix, so you see the improvement in numbers before the big day.
- Before and after results
- Agreed performance targets
- Summary for stakeholders
Measure First. Fix Second.
Every engagement follows the same problem-first Systems Engineering Method we use across AppPotter.
Agree the targets
We agree expected traffic, key journeys and acceptable response times with you.
Build the test scenarios
Tests are scripted around how real users move through the system.
Run the tests
Load, stress and API tests run against an environment agreed with you.
Find the bottlenecks
Slow responses are traced to code, database or infrastructure.
Fix the causes
Our engineers fix the issues or work through them with your team.
Retest and confirm
The same tests run again to show the improvement before go-live.
What Changes When You Know Your Limits Early
We agree on what to measure during discovery, so success is defined before the build starts, not after launch.
Before: Hoping the system survives launch day
After: Tested capacity before the traffic arrives
Before: Slowdowns at busy times
After: Bottlenecks found and fixed at the cause
Before: No idea how many users the system can handle
After: A tested capacity figure for planning
Before: Bigger servers that did not help
After: Fixes aimed at the real cause
Before: A report full of problems and no fixes
After: Fixes made and confirmed by retesting
Chosen for Your Systems, Not Our Preferences
We run load and stress tests with Apache JMeter and k6, testing APIs directly where that gives clearer results. Fixes cover .NET code, SQL and NoSQL databases, plus Azure or AWS infrastructure.
Where we have the deepest production experience
- PlaywrightUI automation
- SeleniumUI automation
- PostmanAPI testing
- Apache JMeterPerformance
- OWASP ZAPSecurity
- SonarQubeCode quality
- Azure DevOpsCI/CD
- GitHub ActionsCI/CD
Also used when the project calls for it
- Unit testing
- Performance
Senior Engineers, Directly Involved
- Founder-led delivery
Parth and Umesh are personally involved in every engagement.
From scoping the work to standing behind its outcome, backed by Parth's 14+ years of enterprise technology and delivery experience.
Meet our leadership - Current engagement · under NDA
A long-term software engagement with a US-based technology company.
Client identity and project details are undisclosed due to confidentiality obligations. We treat your work the same way.
See our approach
Ways to Work Together
- Advisory & Discovery
Short-term Strategy Engagements
For a focused, short-term engagement - an assessment, an architecture review, or technical due diligence - before any build begins.
- Comprehensive architecture reviews
- Due Diligence of your tech stack
- Roadmap and Estimation
- Fixed Price
Fixed Cost Model
For clearly-scoped integration or build work, where the outcome and boundaries are already well defined.
- Change Management process
- Milestone-based delivery
- Quality & SLA Commitments
- Dedicated Team
Dedicated Product Engineering Team
For long-term product or systems work - a sustained AppPotter engineering team working against your roadmap, not rotated project to project.
- Seamless onboarding and roadmap planning
- Fixed Monthly Retainer
- PO/Tech-lead Collaborations
Whichever structure fits, Parth and Umesh are personally involved, from scoping the engagement to standing behind its outcome.
Meet our leadershipPart of Custom Engineering
We build custom only when an existing platform, integration or standard product can't solve the business problem.
Performance Testing FAQs
Still unsure? A 30-minute conversation usually answers the rest.
Book a callWell before a launch, campaign or expected growth spike, with time left to fix what the tests find. Repeat tests after major changes help too.
We usually test against a separate environment that mirrors production. If production testing is needed, it is scheduled with you for a quiet period.
Apache JMeter and k6 for load and stress testing, with Postman for API checks. Results are shared in plain language with the numbers behind them.
Yes. Testing is part of how we engineer software, so our engineers can fix the causes in code, database or infrastructure, then retest to confirm.
Yes. Key tests can run in your build pipeline or on a schedule, so slowdowns are caught when they are introduced.
Usually fixed price for a round of tests with findings. Fixes are quoted once the causes are known.
Tell Us What Your System Needs to Handle
We'll look at what is coming up and tell you honestly what to test before it arrives.
Book a GTM Systems Assessment30-minute call · No obligation · No sales pitch