Gatling vs JMeter: Performance, Features, and Code Differences
Gatling is a load testing tool that uses Scala for scripting, offering a more developer-centric approach than JMeter's XML-based configuration.
Gatling Articles
49 articles
Gatling vs k6: Pick the Right Load Testing Tool
Gatling and k6 are both powerful load testing tools, but they approach performance testing from fundamentally different philosophies.
Load Test REST API Endpoints with Gatling HTTP Protocol
Gatling’s HTTP protocol configuration is a DSL that lets you define the behavior of your simulated HTTP clients, and it’s far more powerful than just se.
Run Baseline, Stress, and Spike Tests with Gatling
Gatling doesn't just simulate load; it simulates user behavior, which is fundamentally different from simple thread-per-request load generators.
Find Performance Bottlenecks from Gatling Load Test Results
Find Performance Bottlenecks from Gatling Load Test Results — practical guide covering gatling setup, configuration, and troubleshooting with real-world...
Add Gatling Checks and Assertions to Validate Responses
Gatling checks and assertions are how you ensure your load tests are actually verifying the behavior of your application, not just hammering it with req.
Run Gatling Load Tests in GitHub Actions CI
Gatling tests in GitHub Actions can fail for a variety of reasons, but the most common culprit is the Gatling process itself crashing due to resource ex.
Integrate Gatling into a Jenkins Pipeline for Performance Testing
Gatling tests are designed to be run as part of your CI/CD pipeline, and Jenkins is a popular choice for orchestrating these pipelines.
Manage Cookies and Headers in Gatling Simulations
Cookies and headers are how your Gatling simulation talks to the server beyond just the request URL. They're the tiny pieces of data that make your simu.
Extend Gatling with a Custom Protocol Plugin
Gatling's power comes not just from its built-in protocols, but from how easily you can extend it to speak any language.
Load Test Database Queries with Gatling JDBC Protocol
The most surprising thing about load testing database queries is that the bottleneck is rarely the database itself; it's usually your application's conn.
Run Distributed Gatling Load Tests Across Multiple Injectors
The most surprising thing about running Gatling across multiple injectors is that it's not about distributing load, but about aggregating results.
Run Gatling Load Tests in Docker Containers
You can run Gatling load tests in Docker containers, and the most surprising thing is how much easier it makes managing distributed load generation comp.
Write Gatling HTTP Simulations with the HTTP Protocol DSL
The most surprising thing about Gatling's HTTP DSL is that it's not just for sending HTTP requests, but for understanding and testing the HTTP protocol .
Design a Gatling Enterprise Load Testing Architecture
Gatling Enterprise, when used for load testing, isn't a single monolithic application but rather a distributed system designed to generate massive amoun.
Set Up Gatling Enterprise Cloud for Managed Load Testing
Gatling Enterprise Cloud lets you spin up managed load tests in minutes, but to get the most out of it, you need to understand how it orchestrates your .
Parameterize Gatling Simulations with CSV and JSON Feeders
Gatling simulations are often static, but real-world scenarios demand dynamic data. CSV and JSON feeders let you inject this data, turning a single scri.
Write Your First Gatling Load Test Simulation
The magic of Gatling is that it models user behavior so closely, it feels more like observing real users than running a synthetic test.
Get Started with Gatling: Run Your First Load Test
Gatling is a load testing tool that generates load from a single machine, but its architecture is designed to scale horizontally to thousands of machine.
Integrate Gatling into Gradle Builds with the Gradle Plugin
The Gradle Gatling plugin lets you run your Gatling load tests directly from your build process, treating them like any other unit or integration test.
Load Test GraphQL Endpoints with Gatling
GraphQL endpoints are surprisingly hard to load test effectively with standard tools, but Gatling handles them beautifully if you know how.
Read and Interpret Gatling HTML Performance Reports
The Gatling HTML report isn't just a summary; it's a diagnostic tool that tells you why your application is slow, not just that it is slow.
Test HTTP/2 Services with Gatling Protocol Support
Test HTTP/2 Services with Gatling Protocol Support — HTTP/2 is not just a faster HTTP/1.1; it's a fundamentally different protocol that breaks many assum.
Stream Gatling Metrics to InfluxDB and Visualize in Grafana
The most surprising thing about using Gatling for load testing is that its built-in metrics reporting is actually less useful for long-term monitoring t.
Install Gatling with Scala and Maven Step by Step
Gatling, the load testing tool, is a JVM-based powerhouse, and integrating it with Scala and Maven is a common and effective setup for performance testi.
Write Gatling Load Tests with the Java DSL
The most surprising thing about Gatling load testing is that it’s not about simulating users, but rather about simulating network traffic.
Load Test JMS Messaging Systems with Gatling
Load Test JMS Messaging Systems with Gatling — practical guide covering gatling setup, configuration, and troubleshooting with real-world examples.
Write Gatling Load Tests with the Kotlin DSL
The most surprising thing about Gatling with Kotlin is how much of the boilerplate you can eliminate, letting you focus on the what of your test, not th.
Scale Gatling Load Tests on Kubernetes
Scale Gatling Load Tests on Kubernetes — practical guide covering gatling setup, configuration, and troubleshooting with real-world examples.
Use Loops, DoWhile, and Repeat in Gatling Simulations
Gatling's repeat and doWhile are not just for simple iteration; they're powerful tools for creating complex, dynamic user flows that mimic real-world ap.
Run Gatling Tests with the Maven Plugin
The Gatling Maven plugin is your primary tool for running Gatling performance tests directly within your Maven build lifecycle.
Write Gatling Simulations for Microservice Architectures
Gatling simulations aren't just about hammering your endpoints; they're about building a dynamic model of your microservice architecture's actual behavi.
Authenticate Gatling Requests with OAuth2 Tokens
Gatling can make your API testing incredibly robust, but getting those OAuth2 tokens into your requests can feel like wrestling an octopus.
Choose Between Open and Closed Workload Models in Gatling
The core difference between Gatling's open and closed workload models isn't about how many requests you send, but when you expect the next one to be sen.
Control Request Pacing and Think Time in Gatling Scenarios
Gatling's pacing and think time aren't just about slowing down your tests; they're how you simulate realistic user behavior, differentiating between a b.
Measure P50, P95, and P99 Latency Percentiles in Gatling
Gatling doesn't actually measure P50, P95, and P99 latency directly; it measures the time it takes for a request to complete, which is a much more granu.
Tune Gatling JVM and Simulation Settings for Accurate Results
The most counterintuitive thing about tuning Gatling for accurate load testing is that performance gains often come from reducing the number of threads,.
Design a Production Performance Testing Strategy with Gatling
A production performance testing strategy with Gatling isn't about finding bottlenecks in your current production environment; it's about simulating pro.
Ramp Up Virtual Users in Gatling: Linear, Staircase, and Burst
Gatling doesn't actually ramp up virtual users; it just starts them as fast as the system can handle them, and the "ramp" is an emergent property of you.
Record HTTP Traffic into Gatling Simulations with the Proxy Recorder
The Gatling Proxy Recorder lets you capture HTTP traffic and turn it into a performance test simulation, but it's not about just recording; it's about t.
Write Complex Gatling Simulations with Scala
Gatling simulations are compiled Scala code, not just configuration files, which is why you can build incredibly complex, dynamic load tests that perfec.
Design Gatling Injection Profiles for Realistic Load Patterns
Design Gatling Injection Profiles for Realistic Load Patterns — practical guide covering gatling setup, configuration, and troubleshooting with real-wor...
Store and Use Dynamic Data in Gatling Session Variables
Gatling's Session isn't just a passive container; it's an active participant in your test, holding and transforming data as requests flow.
Analyze Gatling Simulation Log Files for Deep Performance Insights
The most surprising thing about Gatling log files is that they're not just logs; they're a detailed, time-traveling blueprint of your system's stress re.
Fail Gatling Tests When SLA Thresholds Are Breached
Fail Gatling Tests When SLA Thresholds Are Breached. Gatling tests are failing because they're hitting SLA thresholds, and you need to figure out why. 1
Load Test Server-Sent Events Streams with Gatling
Server-Sent Events SSE streams are surprisingly difficult to load test effectively because they require maintaining long-lived connections and processin.
Configure TLS and Certificate Handling in Gatling Simulations
Gatling's TLS and certificate handling can be surprisingly flexible, allowing you to bypass strict validation for testing purposes or to simulate real-w.
Throttle Gatling Request Rates to Simulate Realistic Traffic
Gatling's throttle clause lets you simulate realistic traffic patterns by precisely controlling the rate at which requests are injected into your system.
Understand the Gatling Virtual User Lifecycle and Execution Model
The number of virtual users a Gatling simulation can sustain is not directly limited by Gatling itself, but rather by the network and system resources o.