Locust Bottleneck Detection: Find Slow Endpoints Under Load
When you're running Locust tests and suddenly see a ton of 500 errors or your throughput plummets, it's usually because one of your endpoints is drownin.
Locust Articles
49 articles
Locust in GitHub Actions: Automate Load Tests in CI
GitHub Actions can orchestrate load tests using Locust, but its execution often fails due to network isolation and resource constraints.
Locust CSV Stats: Export Results for Analysis
Locust's CSV stats are actually a log of every single request, not just a summary, and that's why they're so powerful for deep dives.
Locust Custom Clients: Load Test Non-HTTP Protocols
A custom Locust client lets you load test anything, not just HTTP. Let's say you need to test a WebSocket chat application
Locust Custom Load Shapes: Model Real Traffic Patterns
Locust Custom Load Shapes: Model Real Traffic Patterns — practical guide covering locust setup, configuration, and troubleshooting with real-world examp...
Locust Data Parameterization: Test with Real User Data
The surprising truth about Locust data parameterization is that its core mechanism isn't about injecting "real user data" at all; it's about ensuring yo.
Locust Database Load Testing: Stress Test Queries
Locust's database load testing often reveals that the database itself is the bottleneck, not your application code's ability to make the requests.
Locust Distributed Mode: Scale Load with Master-Worker
Locust distributed mode lets you run load tests across multiple machines, which is crucial when your single-machine capacity isn't enough.
Locust in Docker: Containerized Load Testing Setup
The most surprising thing about running Locust in Docker is that it doesn't automatically handle distributed testing for you; you have to explicitly con.
Locust Environment Config: Manage Test Settings
The most surprising thing about Locust's environment configuration is that locust --help doesn't actually show you all the ways you can configure it.
Locust Events and Hooks: Extend with Custom Logic
Locust's event system lets you inject custom logic into your load tests at precisely the right moments, transforming a simple script into a sophisticate.
Locust FastHTTP: High-Performance HTTP Load Testing
Locust's FastHTTP client is surprisingly capable of outperforming Python's built-in requests library for load testing, even with simple use cases.
Locust First Test: Write Your First Locustfile
You're going to write your first Locustfile, and the most surprising thing is how little code it actually takes to simulate thousands of users.
Locust Getting Started: Install and Run in 5 Minutes
You can run a distributed load test with Locust in under 5 minutes, and the most surprising thing is how little infrastructure you actually need to get .
Locust Gevent: Concurrent Coroutines for Scale
Locust's gevent integration is the secret sauce for handling tens of thousands of concurrent users on a single machine, and it does it by not using thre.
Locust + Grafana: Real-Time Load Test Dashboards
Grafana makes load testing feel like air traffic control for your application, not just a black box that spits out pass/fail results.
Locust gRPC Testing: Load Test Protobuf Services
Locust, the open-source load testing tool, can be surprisingly effective at stressing gRPC services, especially when dealing with Protobuf.
Locust Headless Mode: Run Load Tests via CLI
Locust's headless mode lets you run load tests programmatically, which sounds simple, but the real magic is how it forces you to decouple your test exec.
Locust HttpUser: Configure Tasks and Request Patterns
Locust's HttpUser isn't just a way to define user behavior; it's a sophisticated system for modeling how users interact with your HTTP service, and the .
Locust + InfluxDB: Store and Query Load Test Metrics
The most surprising thing about using Locust with InfluxDB is that the primary benefit isn't just storing metrics, but unlocking the ability to correlat.
Locust Install: Set Up Python Load Testing
Locust's core innovation is that it lets you write load tests in Python, a language most developers are already fluent in.
Locust on Kubernetes: Scale Distributed Load Testing
Locust on Kubernetes allows you to distribute your load testing across multiple pods, bypassing the single-machine limitations of traditional load testi.
Locust Microservices Load Testing: Test Every Service
Load testing individual microservices in isolation is a common pitfall; the real stress emerges when they interact under load.
Locust MQTT Load Testing: Stress Test IoT Brokers
MQTT load testing is surprisingly difficult because most load testing tools are designed for request/response protocols, not persistent connections and .
Locust on_start and on_stop: Manage Test Session State
The onstart and onstop hooks in Locust aren't just for setup and teardown; they're the primary mechanism for managing shared state across your entire di.
Locust Percentiles: Analyze P95 and P99 Response Times
Locust's percentile statistics are actually a historical artifact, and most users are better off using a different, more robust metric entirely.
Locust Performance Tuning: Maximize Users Per Worker
The surprising truth about maximizing Locust users per worker is that it's less about tuning Locust itself and more about understanding and optimizing t.
Locust Production Strategy: Continuous Load Testing
Continuous load testing in production is a powerful strategy to uncover performance regressions before they impact users, but it requires careful consid.
Locust Prometheus Exporter: Scrape Test Metrics
The Locust Prometheus Exporter doesn't actually scrape metrics in the way a typical Prometheus exporter does; it's more of a publisher that pushes metri.
Locust Async Support: Use asyncio in Load Tests
Locust's async support isn't just about making your tests faster; it fundamentally changes how you think about concurrency in load testing by treating I.
Locust Ramp-Up and Spikes: Model Complex Load Patterns
Locust's ramp-up and spike features let you simulate more realistic user load patterns than just a steady-state increase.
Locust Results Analysis: Interpret Failure Rates and Latency
Locust's failure rate and latency metrics are not just numbers; they're a direct readout of how your application is performing under stress, and often, .
Locust Slow Requests: Diagnose and Debug Bottlenecks
Locust's "Slow Requests" warning isn't about your application being slow; it's about Locust's master process being too busy to tell the workers to stop .
Locust Soak Tests: Run Long-Duration Stability Tests
Locust Soak Tests: Run Long-Duration Stability Tests — practical guide covering locust setup, configuration, and troubleshooting with real-world examples.
Locust Spike Test: Simulate Sudden Traffic Surges
A load testing tool can actually cause the very performance problems it's designed to find. Let's say you're trying to simulate a sudden, massive influx.
Locust Stress Test: Find Your System Breaking Point
Locust is a load testing tool that lets you simulate a massive number of concurrent users on your system, allowing you to find its breaking point before.
Locust Tags: Run Subsets of Load Test Scenarios
Locust tags let you selectively run portions of your load test, which is incredibly useful when you have a large, complex test suite.
Locust Test Plans: Design Realistic Load Scenarios
Designing a Locust test plan that accurately reflects real-world user behavior is the hardest part of performance testing.
Locust User Classes: Inherit and Compose Test Behaviors
You can achieve code reuse and a more organized structure in your Locust tests by inheriting from existing User classes and composing behaviors.
Locust vs Gatling: Python vs Scala Load Testing
Locust and Gatling are both excellent load testing tools, but they approach the problem from fundamentally different angles, leading to distinct advanta.
Locust vs JMeter: Code-First vs GUI Load Testing
Locust actually makes writing load tests easier than GUI-driven tools like JMeter, because it forces you to think like a developer about your tests.
Locust vs k6: Python vs JavaScript Load Testing
Locust and k6 are both popular open-source load testing tools, but they differ significantly in their language of choice, execution model, and how they .
Locust Wait Times: Simulate Real User Think Time
When you're simulating user behavior with Locust, blindly hitting endpoints as fast as possible doesn't reflect reality.
Locust Web UI: Monitor and Control Tests in Browser
The Locust Web UI is more than just a dashboard; it's a dynamic command center where you can spin up and tear down load test scenarios, observe performa.
Locust Task Weights: Control How Often Tasks Run
Task weights in Locust are the primary mechanism for controlling the relative frequency with which different tasks are executed by your simulated users.
Locust API Load Testing: Simulate 10K Users in Python
Locust API Load Testing: Simulate 10K Users in Python — practical guide covering locust setup, configuration, and troubleshooting with real-world examples.
Locust Assertions: Validate API Responses in Load Tests
Locust assertions are the unsung heroes of load testing, turning raw response data into actionable insights about your API's health.
Locust Auth Simulation: Load Test Login Flows
The most surprising thing about load testing authentication is that the real bottleneck is rarely the authentication mechanism itself; it's the downstre.
Locust Baseline Tests: Establish Performance Benchmarks
The most surprising thing about Locust baseline tests is how often they're run incorrectly, leading to benchmarks that are not just useless, but activel.