📱 Mobile Backend Load Testing

Your users aren't on fiber. Test how your API actually performs on 3G, 4G, and spotty Wi-Fi — with real user journeys, not isolated endpoint hits.

🔗 API Chain Testing ◈ GraphQL Support ⚡ gRPC Native 📶 Network Simulation
Start Free Trial → See How It Works

The Problem with Traditional Load Testing

Testing endpoints in isolation on perfect networks doesn't reflect how mobile apps work. AccessLoad tests the full journey.

📱
User opens app
→
🔐
POST /auth/login
→
🎫
Extract JWT token
→
👤
GET /api/profile
→
📊
GET /api/feed

A real mobile user hits 5 endpoints in sequence, passes tokens between them, and does it all on a 3G connection.
AccessLoad is the only tool that tests this exact scenario at scale.

Four Features. One Goal: Test Like Real Users.

Every feature built to bridge the gap between how an app works on the device and how the server handles mobile traffic.

🔗

API Chain Testing

Define multi-step user journeys. Login → extract token → call authenticated APIs. Each step can extract values from the previous response and inject them into the next request using {{variable}} syntax.

All Plans
◈

GraphQL Load Testing

Paste your GraphQL query or mutation, add variables, and load test it at scale. No configuration gymnastics — AccessLoad auto-wraps your query into the correct HTTP POST format and gives you per-query metrics.

All Plans
⚡

gRPC Performance Testing

Upload your .proto file, select the service and method, define the payload — AccessLoad generates native gRPC load tests. No plugins, no custom scripts.

Pro+
📶

Network Condition Simulation

See what happens when 10,000 users hit your API on a 3G connection. Real bandwidth throttling and latency injection at the infrastructure level. Not a simulation — actual network degradation.

All Plans

🔗 How API Chain Testing Works

From "DDoS simulator" to "Realistic User Journey Simulator" in 60 seconds.

Define Sequential Steps

Each step is an API call with its own method (GET/POST/PUT/DELETE), headers, and body. Steps execute in order, just like a real mobile app would.

  • Step 1: POST /auth/login with credentials
  • Step 2: Extract access_token from response
  • Step 3: GET /api/profile with Bearer token
  • Step 4: POST /api/orders with cart data

Extract & Inject Variables

Pull any value from a response body (JSON path) or header, and use it in subsequent steps:

  • Extract data.access_token → auth_token
  • Use in headers: Authorization: Bearer {{auth_token}}
  • Use in body: {"token": "{{auth_token}}"}

What AccessLoad generates automatically:

// Step 1: Login POST https://api.example.com/auth/login → Body: {"email": "test@test.com"} // Extract token from response auth_token = response.data.access_token // Step 2: Use token in next request GET https://api.example.com/api/profile → Header: Authorization: Bearer {{auth_token}}

◈ How GraphQL Testing Works

GraphQL is just HTTP POST — but manually crafting payloads for load testing is painful. We handle it for you.

What you write in the UI:

query { users(limit: 50) { id name email orders { id total status } } }

Just Paste Your Query

Select the GraphQL tab in the test creator, paste your query or mutation, and optionally add variables. That's it.

  • AccessLoad wraps it in {"query": "..."} format
  • Sends as POST with Content-Type: application/json
  • Checks for GraphQL-level errors in responses
  • Full latency breakdown — same P50/P90/P95/P99 metrics

Supports queries, mutations, subscriptions. Add variables as JSON in the Variables field.

⚡ How gRPC Testing Works

Native gRPC support built in. Dead simple to use.

Three Inputs. That's All.

  • Upload .proto file — defines your service contract
  • Service name — e.g., myapp.UserService
  • Method — e.g., GetUser

Add your JSON payload, and AccessLoad generates a native gRPC load test automatically. No protoc compilation needed — proto parsing happens at runtime.

Why gRPC Testing Matters

gRPC is the standard for high-performance microservices and mobile backends. HTTP/2 multiplexing, binary serialization, and bi-directional streaming mean gRPC performs very differently from REST under load.

Example gRPC test flow:

// Upload your .proto file Service: myapp.UserService Method: GetUser // Define your payload { "user_id": "123" } // AccessLoad handles everything: // → Proto parsing // → Connection management // → Status validation // → Full metrics collection

📶 Network Condition Simulation

Your users aren't on gigabit fiber. They're on a train, in an elevator, or on a crowded café Wi-Fi.

📶

3G Mobile

100ms latency 750 kbps bandwidth 10ms jitter
📱

4G / LTE

50ms latency 12 Mbps bandwidth 5ms jitter
📡

Slow Wi-Fi

30ms latency 5 Mbps bandwidth 5ms jitter
⚙️

Custom

Your latency (ms) Your bandwidth (kbps) Configurable jitter

⚙️ How It Works Under the Hood

Each worker node applies real bandwidth throttling and latency injection at the infrastructure level before sending any requests. This isn't a browser-level simulation — it's actual network degradation that mirrors what your mobile users experience in the real world.

📊 What You'll Discover

Most APIs work fine on fast networks but fall apart on 3G. You'll see P95 latency spike, timeout errors increase, and connection pools exhaust. These are the exact conditions your mobile users experience daily — and now you can catch them before release.

Why Teams Choose AccessLoad

Built for modern mobile backends — not legacy web apps.

🔗

API Chains — No Scripting

Build multi-step user journeys with automatic token extraction through a visual UI. No code required.

📶

Real Network Simulation

One-click 3G/4G/Slow WiFi profiles. Infrastructure-level throttling, not browser tricks.

⚡

Every Protocol Covered

REST, GraphQL, and gRPC — all from one platform with built-in editors and proto file support.

🌐

Distributed by Default

Automatic load distribution across worker nodes. Scale to 25K+ virtual users without complex setup.

🤖

AI-Powered Analysis

Automatic bottleneck detection and actionable recommendations after every test run.

🔒

Your Cloud, Your Data

BYOC workers run inside your VPC. Zero test data leaves your network.

Who Is This For?

If your backend serves a mobile app, this is for you.

📱

Mobile App Developers

Test your entire auth flow + API calls as a single user journey. See exactly what happens when 10K users do the same thing at once.

🔧

Microservice Teams

gRPC between services? GraphQL gateway? Chain through your entire service mesh and find the bottleneck before production does.

🌍

Global App Teams

Users in India on 3G, users in NYC on fiber. Test both scenarios. Network simulation shows you what each user segment experiences.

Get Started in 3 Steps

No scripting. No plugins. No YAML files.

1️⃣

Choose Your Protocol

Select REST, API Chain, GraphQL, or gRPC from the test creator tabs.

2️⃣

Configure & Simulate

Define your endpoints, chain steps, or query. Pick a network condition (3G, 4G, or custom).

3️⃣

Launch & Analyze

Hit Launch. Get real-time metrics, per-step breakdown, AI analysis, and professional reports.

Stop Testing Like It's 2015.

Your mobile users deserve better. Start testing with real user journeys, real protocols, and real network conditions.

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