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Performance Testing Services That Find Your Breaking Point Before Launch Day Does

For teams facing a launch, a sale, or a campaign spike: load tests that show how many users your app handles and what slows down first, from $850.

  • 2X

    Expected peak traffic tested

  • 100%

    Results tied to server metrics

How your project runs

TTFBdocumentstyles.cssapp.jsfont.woff2hero.webpanalytics.jsLoad 1.2s

Teams we have built for:

  • Amazon Web Services
  • HubSpot
  • Linode
  • Microsoft Azure
  • Moodle
  • Magento
  • Oracle
  • Salesforce
  • SAP
  • Squarespace
  • Weebly
  • WP Engine
  • Google Cloud
  • DigitalOcean

The Problem

Your App Was Fast in Staging Until Real Traffic Arrived

Load problems stay hidden until many people use the app at once. By then it's launch day, and the slow query or full connection pool is in production.

  1. 01 · Unknown limit

    Nobody knew how many users the app could handle.

    A test ramps virtual users past your expected peak to find the limit.

  2. 02 · Guesswork

    Adding servers barely helped the slow checkout.

    Server metrics during each run show whether CPU, database, or code is the limit.

  3. 03 · Hidden query

    One unindexed query slowed every request.

    Slow responses are traced to the exact query, cache miss, or connection limit.

  4. 04 · Launch day

    Errors started minutes after the campaign email.

    Spike tests replay a sudden traffic burst before your real campaign goes out.

Your app felt fast in staging, with 5 people clicking around. Then the launch email went out. Within minutes, checkout took 12 seconds, the API started returning 502 errors, and the database CPU hit its ceiling. Your team added servers by guesswork, and it barely helped, because the real problem was one unindexed query. Nobody knew how many users the app could handle until it stopped handling them.

We start with your traffic: analytics, past peaks, and the campaign you're planning. We script the journeys that matter in k6 or JMeter, ramp virtual users past your expected peak, and watch server metrics during every run. Each slow response gets traced to its cause: a query, a cache miss, or a connection limit. You learn your breaking point in a test, not on launch day.

  • Traffic modeled from analytics

    Virtual users follow the paths real visitors take, at the pace your peaks actually reach.

  • Percentiles, not averages

    p95 and p99 response times show what your slowest users feel, which averages hide.

  • Bottlenecks traced to a cause

    Server metrics during each run point to the query, cache, or limit behind every slowdown.

Our Performance Testing Services Process

From Traffic Model to Capacity Plan in Five Clear Steps

You approve the traffic model and the pass or fail targets before any test runs, and every result comes with the server metrics that explain it.

  1. We review your architecture, hosting, and analytics, plus the event you're preparing for. You get the journeys to test, a target peak, and a fixed price before any scripts are written.

What's Included

What You Get With Our Load Testing Services

Everything needed to know your app's limits before your users find them: a traffic model, scripted journeys, load and stress runs, bottleneck analysis, and a retest.

  • Workload model from your analytics

    Journeys, traffic mix, and arrival rates based on your real visitors and the peak you expect.

  • Scripted user journeys

    k6 or JMeter scripts for login, search, checkout, or API calls, kept in your own repository.

  • Load, stress, and spike runs

    Tests at your expected peak, past it to the breaking point, and in sudden bursts like a launch email.

  • Response time percentiles

    p95 and p99 response times, throughput, and error rates for every journey, charted for each run.

  • Bottleneck analysis

    Slow queries, cache misses, and connection limits found in server metrics, with a suggested fix for each.

  • Retest and capacity report

    Before and after results, your breaking point, and the headroom left for growth.

Compare Options

DeveloperLook vs a DIY Load Tool vs Adding Bigger Servers

A DIY load tool is cheap if someone knows how to model traffic, and bigger servers buy time. Here's how a performance testing company compares when you need answers before a launch.

DeveloperLook
DIY tool
Traffic model
DeveloperLook: Built from your analyticsDIY tool: Whatever the script guesses
Test types
DeveloperLook: Load, stress, spike, and soakDIY tool: Usually one load run
Reading results
DeveloperLook: Percentiles tied to server metricsDIY tool: Charts without a cause
Root cause
DeveloperLook: Query, cache, or limit namedDIY tool: Often left to guesswork
Speed to answer
DeveloperLook: 1 to 2 weeksDIY tool: Fast if you know the tool
Retesting
DeveloperLook: Same test rerun after fixesDIY tool: Up to your team
Ownership
DeveloperLook: Scripts stay in your repoDIY tool: Yours
Cost
DeveloperLook: Fixed price from $850DIY tool: Free open-source tools

Projects We've Built

News, food delivery, travel booking, and trading products our team designed and built. Products like these face traffic spikes from breaking news, dinner rushes, and launches.

What Our Clients Say

What Clients Say After Launch

Feedback from teams we have designed and built web and mobile products for.

We had a pretty specific idea of what we wanted our website to become, but I wasn’t sure how easily we could explain all of it to a development team. There were quite a few moving parts, and we were working toward a deadline, so I expected a few things to get lost along the way. That never really happened. They understood what we were trying to achieve, kept us updated throughout the process, and got everything ready within the agreed timeline. The final site feels much easier to navigate, works beautifully on mobile, and is noticeably smoother for our customers. It was a huge relief seeing the original idea actually turn into the website we had in mind.

Michael BennettFounder & CEO of Northbridge Consulting01 / 03
  • 1,250+

    Projects shipped

  • 10+

    Years of experience

  • Top 3%

    Upwork Top Rated Plus

  • 5 stars

    Average review score

Want results like these?

Tell us what you are building. You get a reply within 24 hours on business days, then a written estimate.

Work Culture

Why Teams Trust Us With Their Launch-Day Traffic

Load tests mislead when the traffic is unrealistic or the results lack a cause. These habits keep our numbers honest and useful.

  • Realistic traffic, not hammering

    We model journeys with think times and a real traffic mix. Hitting one URL in a loop makes nice charts and tells you very little.

  • Production-like environments

    We test on staging sized like production, or in an agreed production window. Results from a tiny staging server don't predict launch day.

  • Safe test windows

    We agree on limits, alerts, and a stop switch before any test touches shared infrastructure. Third-party APIs are mocked when their terms forbid load tests.

  • Plain answers on capacity

    You get a number you can plan with: how many users your setup handles and where it breaks. If more servers won't help, we'll say so.

  • Same test, before and after

    We rerun the identical scenario after every fix. That's the only fair way to show a change helped, instead of guessing from a different test.

  • Scripts in your repository

    Every k6 or JMeter script and dashboard stays with you. Rerun them before the next launch without paying us again.

Overview

How do performance testing services work?

DeveloperLook provides performance testing services for web apps, APIs, and online stores before launches and traffic spikes. We model your real traffic, run load, stress, and spike tests in k6 or JMeter, and trace each slowdown to its cause. Baseline load tests start at $850 and take 1 to 2 weeks.

DEVELOPERLOOK

Project facts · Performance Testing Services

Service
Performance Testing Services (workload model, load and stress tests, bottleneck analysis, retest)
Typical timeline
1 to 2 weeks for a baseline test, 3 to 5 weeks for a capacity program
Platforms
Web apps, REST and GraphQL APIs, online stores, and mobile app backends
Built with
k6, Apache JMeter, Gatling, Grafana, New Relic, and Datadog
Experience
10+ years of development experience and 1,250+ shipped projects
Post-launch support
14 days of retest support after the report, 30 days on larger plans
Communication
Calls in US, UK, and AU business hours
Starting price
From $850 USD, fixed scope after a free load review

Reviewed 8 Oct 2026 by Saimul Islam

Good fit

  • Teams before a launch or sale

    Your product launch or Black Friday sale is 6 weeks out, and you need load testing services that show whether checkout holds at peak.

  • SaaS teams signing bigger customers

    You're onboarding a customer 10 times your usual size and want software performance testing before their users log in.

  • Apps that slow down at peak hours

    Your app gets slow every weekday at 9am, and you need someone to trace whether the database, cache, or code is the limit.

  • Teams moving to new hosting

    You're migrating to new hosting or Kubernetes and want load and performance testing services to prove the new setup is faster.

  • Agencies with high-traffic clients

    Your agency's client has a big campaign coming, and you want a load testing company to test their site under your brand first.

Not a fit

  • Page speed scores only

    You want better Lighthouse or Core Web Vitals scores for a single visitor, not capacity under load. Our Website Speed Optimization page covers that.

  • Features still broken

    Your app still has broken features. Fix those first with our Software Testing Services, because a load test on a buggy build wastes the run.

  • Phone smoothness concerns

    Your concern is scrolling and launch speed on phones, not server load. Our Mobile App Testing Services page covers on-device performance.

  • Budget under $850

    Your budget is under $850. Run a free k6 script against one key page on staging, and watch your server's CPU and database while it runs.

Not sure we're the right fit?

Book a free call or message us. We'll tell you honestly whether we're the right team.

Pricing

Transparent Starting Prices for Performance Testing Services

These are starting points in USD. Your final price depends on the number of journeys, the test types, and your environment, and you get a fixed proposal after a free load review.

$1k$2k$3k$4k$5k$850$2,100$4,300

For apps that need to know whether their key journeys hold up at the expected peak.

$850one-time, USD

Get a fixed quote
  • Up to 2 user journeys scripted in k6
  • Load test to 2X your expected peak
  • p95 and p99 response times and error rates
  • Server metrics read during the run
  • Report naming the top 5 bottlenecks
  • 14 days of retest support after the report

Recommended

For launches and sales that need the real breaking point found and fixed before the date.

$2,100one-time, USD

Get a fixed quote
  • Everything in Baseline Load Test
  • Up to 5 journeys in k6 or JMeter
  • Stress and spike tests to the breaking point
  • Database query and cache review
  • 1 retest after your fixes
  • 30 days of retest support after the report

For growing products that need a capacity plan and performance checks on every release.

$4,300one-time, USD

Get a fixed quote
  • Everything in Load and Stress Test
  • 4-hour soak test for memory leaks
  • Capacity plan: users per server size
  • Fixes for the top 3 bottlenecks
  • Performance thresholds in your CI pipeline
  • 30 days of retest support after the report

For Agencies

White-Label Load Tests for Agencies and Studios

You own the client relationship. We load test your clients' sites and apps before their big campaigns, under your brand, so traffic spikes don't turn into emergency calls. Results arrive as a branded report you can present.

How the partnership works

White label: your client only ever sees your brand

  • Your client
  • You, the agency
  • DeveloperLook
  1. Share the campaign

    Send the site, the expected traffic, and the date your client goes live.

    1. Client needs
    2. You share the details
    3. Details received
  2. We test the limits

    We model traffic, run the tests, and trace any bottlenecks we find.

    1. Scope and plan
    2. Proposal to resell
    3. Your quoteYOUR LOGO
  3. You brief the client

    Present the capacity report and fixes under your agency's name.

    1. Done by our team
    2. Your brand on it
    3. Handed to your clientDone
  • Branded capacity reports

    Results and bottlenecks presented under your agency's name.

  • Fewer emergency calls

    Find the limits before the campaign instead of during it.

  • Booked around campaigns

    Testing scheduled ahead of each client launch or sale.

  • Fix help available

    We can tune queries and caching when your team is stretched.

The Right Technology for Your Project

Technology Stack

We use open-source load tools and the monitoring you already run, so every result can be rerun and explained.

    • k6
    • Apache JMeter
    • Gatling
    • Locust
    • Grafana
    • Prometheus
    • New Relic
    • Datadog
    • AWS logoAWS
    • Docker logoDocker
    • Kubernetes logoKubernetes
    • Cloudflare
    • GitHub Actions
    • GitLab
    • Slack logoSlack
    • Jira

FAQ

Frequently Asked Questions

Straight answers on load and stress tests, costs, timelines, and who should run them.

  • A baseline load test from DeveloperLook starts at $850 and covers up to 2 user journeys. A Load and Stress Test with up to 5 journeys and a retest starts at $2,100, and a Capacity and Soak Program with fixes starts at $4,300. Your fixed price comes after a free load review.

  • A baseline load test takes 1 to 2 weeks, including the traffic model, scripts, test runs, and report. A full capacity program with soak tests and fixes takes 3 to 5 weeks. Book it at least a month before a launch or sale, so there's time to fix what the test finds.

  • Performance testing is measuring how fast and stable a system stays under a given workload. It's an umbrella term. A load test checks expected traffic, a stress test pushes past it, and a spike test simulates sudden bursts. A soak test runs for hours to catch memory leaks, so each type answers a different question about your app.

  • Software performance testing applies those checks to an application's code and infrastructure: response times, throughput, error rates, and resource use under load. Our software performance testing services also read server metrics during each run, so a slow endpoint gets traced to the query or setting behind it.

  • Load testing is simulating the number of users you expect, at the pace they arrive, to see how your app responds. Virtual users follow scripted journeys like login, search, and checkout. You learn whether response times and error rates stay within your targets at peak.

  • In software, load testing means running scripted traffic against an application or API with a tool like k6, JMeter, or Gatling. The tool records response times for every request while monitoring shows CPU, memory, and database load. Comparing the two shows which part of the system gives out first.

  • Performance testing is important because slowdowns and outages hit exactly when the most people are using your app. A launch, a sale, or a press mention brings the traffic, and an untested system can fail in front of all of it. Testing first turns that risk into a known number.

  • Load testing before a launch tells you your breaking point while there's still time to fix it. Without a test, the first real measure of capacity is launch day itself. A test a few weeks early leaves room to add an index, tune a cache, or resize servers on your schedule.

  • Load testing is done by performance engineers, QA teams with performance skills, or an outside load testing company. It takes someone who can model traffic, script journeys, and read server metrics, which most product teams don't have in-house. At DeveloperLook, the engineers who run the test also help fix the bottlenecks.

  • Load testing is done in 5 steps, from a traffic model to an analysis of the results. We model the traffic, script the user journeys, ramp virtual users to the target load, and monitor the servers during the run. The key is ramping gradually, so you see where response times start to bend, not just whether the app survived.

Saimul IslamFounder & CEO, DeveloperLook

Still have questions?

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