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Load gauges and throughput charts wired to a server array during performance testing services

Performance Testing Services

The point where your system stops holding up, found before your users find it. Hygge's performance testing services run your own traffic shape against the system until something gives, then name the layer responsible and the order to fix it in.

What Goes Into a Performance Project

The parts that turn a graph of response times into a decision about what to fix first. Performance testing services at Hygge scope which of these your system needs after reading a week of traffic.

A Load Model Built From Your Traffic

Access logs and analytics turned into the mix of endpoints, the think time between actions, and the shape of your peak hour, so the test reproduces the day that worries you.

Load, Stress, and Soak Runs

Steady load at expected volume, climbing load until failure, and a long run that surfaces leaks and connection exhaustion. Stress testing services answer what happens past the ceiling and how the system comes back.

Backend and Endpoint Load

Every call the client makes, weighted the way real sessions weight them, with authentication and payload sizes matching production. API load testing catches the endpoint that degrades while the average stays flat.

Client and Device Timing

Time to first interaction, frame drops, and battery cost measured on real handsets across the network conditions your users have. Mobile app performance testing covers what the server graphs never show.

Bottleneck Isolation Per Layer

Database, cache, queue, and application tier instrumented separately during the run, so the slow part is named with evidence and a query plan behind it.

Tests Left in Your Pipeline

The load scripts and thresholds committed to your repository and wired into CI, so the next release is measured against the same baseline. Performance engineering services that keep working after handover.

What the Load Model Settles

Hygge opens by reading a representative week of your traffic and agreeing what the test has to prove. Load testing services priced from a real traffic profile, with the target volumes and the pass criteria written down before the first run.

The scoping produces each of these:

  • The endpoint mix and session shape taken from your access logs, with the peak hour reproduced as it happens.
  • Target volumes for today and for the growth the business is planning, agreed with whoever owns that forecast.
  • Pass criteria per endpoint: the response time, the error rate, and the concurrency each has to hold.
  • The environment the runs happen in, sized against production, with the differences documented so the results can be read correctly.
  • A fixed scope and price for the load and performance testing work, agreed before it starts.
What the Load Model Settles

What Sends a Team Looking for a Ceiling

The situations behind most enquiries Hygge scopes.

Analytics that ran in seconds now takes minutes, and the fix was guessed at twice. Performance testing measures the real bottleneck before anyone quotes optimisation work. The audit reproduces the load your users produce.

It Fell Over on the Day That Mattered

The campaign landed, traffic arrived in a ten-minute window, and checkout timed out. The postmortem named the database, and the team is now guessing at what to change.

Nobody Knows the Ceiling

The system holds today, and the honest answer to how much more it can take is a shrug. A load testing company gets called when marketing books a date around that shrug.

The Fix Was a Bigger Instance

Every slowdown has been answered by scaling up, and the monthly bill has doubled while response times crept back to where they were.

Latency Grew and Nobody Can Date It

The p95 is worse than last year, no single release explains it, and there is no baseline from before the drift to compare against.

A Launch Date With No Evidence

A contract commits to concurrent users the system has never been tested for, and the number came from a sales conversation.

How We Run a Performance Test

From a week of access logs to a named bottleneck and a retest that proves the fix worked. This is how performance testing services run at Hygge.

  1. Read the Traffic

    Logs, analytics, and the incident history, to learn which endpoints carry the volume and which hour of the week is the hard one.

  2. Build the Load Model

    Scripted sessions that follow real user paths, with think time, payload sizes, and authentication matching what production sees.

  3. Run It Until Something Gives

    Load climbs past the target until an error rate or a response time breaches the agreed threshold. Stress testing services also measure how the system recovers once the load drops.

  4. Isolate the Layer

    Traces, query plans, connection pool counters, and garbage collection pauses read together, so the report names a component with evidence attached.

  5. Retest and Hand Over

    The same model run again after the fixes, with the before and after side by side, and the scripts committed to your repository.

What Changes Once You Know the Ceiling

You find out which layer gives out first, with numbers, before money goes into fixing the wrong one. A launch or a campaign is sized against a tested limit, so capacity stops being a hope.

What Changes Once You Know the Ceiling

What Performance Testing Gives Back

The standards this work is held to, set against your current baseline and checked after delivery.

10 x
Traffic the system is proven against before your launch or campaign
60 %
Off response times after the bottlenecks named in the report are fixed
1 week
To load results showing where it breaks and at what number
100 %
Bottlenecks traced to the query, endpoint or service behind them

Where the Peak Decides the Year

Sectors where one predictable spike carries a disproportionate share of the revenue.

All Hygge Industries
Retail & E-Commerce

Retail & E-Commerce

Black Friday and launch-day load modeled in advance, so the ceiling is known before customers find it.

See the work
Media & Entertainment

Media & Entertainment

Concurrent viewers during a live event, tested against the encoding and delivery path.

See the work
EdTech

EdTech

Enrolment and exam-week spikes, when every student hits the same endpoint in the same hour.

See the work
Logistics & Warehouse Automation

Logistics & Warehouse Automation

Peak picking throughput, where a slow query stalls a physical line.

See the work
Real Estate & PropTech

Real Estate & PropTech

Live auction concurrency, where latency changes what a property sells for.

See the work
Sales & Marketing Technology

Sales & Marketing Technology

Bulk imports and reporting queries that lock the CRM for everyone else.

See the work
Healthcare & Staffing

Healthcare & Staffing

Shift-release moments when an entire facility opens the app at once.

See the work
Fitness & Wellness

Fitness & Wellness

Class booking openings, where thousands of members compete for the same slots.

See the work

Systems Sized for Their Peak

Work where load, not features, set the engineering agenda.

All Hygge Case Studies
Country Navigator
EdTech

Country Navigator

A decade-old monolith serving enterprise customers, rebuilt into services and given a production AI assistant, with the user base migrated without downtime.

  • 0Downtime moving a decade-old platform
  • 1 configReplaces the SSO setup only one person knew
  • 10 yearsOf monolith rebuilt into services
Read the case

What You Get From the Performance Run

The concurrency the system holds, the point where it breaks and how it behaves past it, the layer responsible with traces and query plans attached, and a fix order with the expected gain against each item. Performance testing services delivered with the scripts your team keeps running.

How a Load Test Gets Built and Read

Where the load comes from, what gets watched while it runs, and how the result turns into a fix.

Traffic shaped from your own logs and replayed from the regions your customers sit in, so the profile matches a real peak day.

k6k6
JMeterJMeter
GatlingGatling
PythonPython
DockerDocker

Frequently Asked Questions

What engineering leads ask a performance testing company before booking a run.

Question mark iconWhat is load testing?
Load testing runs a controlled volume of simulated users against a system to see how it behaves at the traffic you expect. It reports response times at the median and the tail, throughput, error rate, and the resource usage underneath, so you learn where the system slows and what runs out first: database connections, CPU, memory or a third-party rate limit. The result is a number for capacity that a launch decision can rest on.
Question mark iconWhat is the difference between load testing and stress testing?
Load testing measures behavior at expected traffic, answering whether Black Friday volume holds up with acceptable response times. Stress testing pushes past that point to find where the system breaks and how it fails, answering whether it degrades gracefully or drops requests without recovering. Both use the same tooling and the same scripts. The difference is the target volume and the question being asked, and a full engagement runs each in turn.
Question mark iconHow to do load testing?
Model the traffic from production analytics: which endpoints, in what proportion, with what think time between steps, and what the peak-hour shape looks like. Script those journeys in k6, JMeter or Locust with realistic data. Run against an environment sized like production, since a smaller one gives numbers you cannot use. Ramp up in stages while watching application metrics, database and infrastructure together. Then find the first bottleneck, fix it, and rerun, because the second one hides behind the first.
Question mark iconWhat is the purpose of load testing?
To convert an assumption about capacity into a measurement before customers make it for you. It answers three questions with numbers: how many concurrent users the system serves within an acceptable response time, which component fails first as traffic grows, and how much headroom exists above today's peak. Those numbers inform launch dates, infrastructure spend and the sizing commitments in enterprise contracts.
Question mark iconWhen to do load testing?
Before a launch or a marketing event that raises traffic, before onboarding a customer larger than your current biggest, after an architecture change such as a new database or a move to microservices, and when response times drift upward without a clear cause. Teams with seasonal peaks run it quarterly. Waiting for the peak itself to reveal the ceiling turns a capacity question into an outage.
Question mark iconWhat does performance testing measure?
Response time at given percentiles, error rate under load, the concurrency the system holds, and how it behaves once that number is passed. Software performance testing at Hygge reports each of these per endpoint, with the layer responsible named.
Question mark iconHow do you model realistic load?
From your own access logs and analytics: which endpoints carry the volume, how sessions move between them, the pause between actions, and the shape of the peak hour. The model replays that weighting against the system, so every result maps back to a day you have already had.
Question mark iconWhen should we load test?
Before a launch or a campaign with a known date, before signing a contract that commits to volumes, and after any change to the data model or the infrastructure. A performance testing company brought in during launch week can measure the problem, and the fix usually takes longer than the week that is left.
Question mark iconCan you test against production?
Yes, with agreed windows, throttles, and a kill switch, and with read-only access or synthetic records where writes are involved. Most projects run against a production-sized environment first, and a load testing company should tell you where the two environments differ and how that shifts the numbers.
Question mark iconWhat does the report tell us?
The concurrency held, the breaking point, the recovery behaviour past it, the bottleneck per layer with traces and query plans attached, and a fix order with the expected gain against each item.
Question mark iconDo you help fix what you find?
Where you want that, yes, as a scoped follow-on: query and index work, caching, connection pooling, or an architecture change where the ceiling is structural. The retest runs the same model, so the gain is measured against the original baseline.
Question mark iconWhat does load testing cost?
It follows the number of endpoints in scope, the protocols involved, and whether an environment has to be built for the runs. Load testing services at Hygge are quoted as an exact price once the load model is agreed.

From a Shrug to a Number You Can Launch On

Tell us what the system does, what traffic you expect, and which date you are planning around. You get a load model, a scope, and an exact price, the way every performance testing services project at Hygge starts.

Tell Us When the System Slows Down

Tell Us When the System Slows Down

Share the peak you are sizing for, the pages that crawl, and what a slow hour costs you.

Get a First Consultation

Get a First Consultation

We review your traffic patterns, infrastructure, and targets for anything that would change scope, cost, or timeline.

Receive a Detailed Proposal

Receive a Detailed Proposal

A scoped plan with the approach, timeline, and cost, built around your actual peak load.

Scope this service

Tell us what the system has to do. You get the scope and the price before any code is written.