Gatling

A workflow can pass functional tests and still fail under load. That’s why end-to-end performance testing matters. It measures how full user journeys perform when real traffic hits: login → search → add to cart → checkout Because users don’t experience one API at a time. They experience the whole flow. In our latest blog, we break down: - What E2E performance testing is - How it differs from functional testing - How to bring it into CI/CD If you’re only testing components in isolation, you’re missing the bigger risk. #performancetesting #loadtesting #webperf #devops

Introducing Service Level Objectives in Gatling Enterprise Edition. You can now define performance targets directly on any test (response time percentiles, error ratio, any threshold you need) without touching your simulation code. After every run, Gatling Enterprise Edition tells you exactly what percentage of the time your system met the bar. Results appear in the run summary as compliance gauges (green, orange, or red) so every run gives you an unambiguous answer. Engineering managers and platform teams set and adjust thresholds directly in the platform, no developer dependency.  🔗 Link in comments #SLO #Performance #Loadtesting #Gatling

Developers already own reliability, security, and quality, why not performance? Performance testing has changed. It fits inside Git. It runs in CI. It speaks your language. If you're writing APIs, building microservices, or scaling SaaS platforms, you shouldn't wait for performance issues to show up in production. With test-as-code tools like Gatling, load testing becomes part of how you write and ship software—not an extra step. In this post, we break down why developers should take the lead on performance, and how to start without boiling the ocean. Read more here: https://lnkd.in/eEVU2rnN

Performance testing just got agentic.  We released the Gatling MCP Server and Skills for Gatling Enterprise Edition. The Gatling MCP Server connects #ClaudeCode, #Cursor, or any MCP-compatible AI coding agent directly to your Gatling Enterprise Edition account: teams, tests, packages, and locations, queryable in plain language, live from your account.  Add Skills, and your coding agent can go further:  → /gatling-configuration-as-code: generate your .gatling/package.conf with real IDs pulled from your account  → /gatling-build-tools: detect your build tool, deploy the package, start the run                                                                                               From writing a simulation to a running test on Gatling Enterprise Edition, without leaving your IDE.                                              Available now for #ClaudeCode, #ClaudeDesktop, #Cursor, #Windsurf, and any MCP-compatible client.                                                🔗 Links in comments

Most teams say they “run load tests.” Fewer can explain which one they’re running (and why) That's because load testing isn’t one test; It’s a set of distinct test types, each designed to answer a different performance question: - Can the system handle expected traffic? - Where does it start to break? - What happens over time? - How does it react to sudden spikes? We’ve put together a practical guide on the types of load testing and what they reveal. It breaks down when to use load, stress, soak, spike, capacity, and volume tests, and includes a concise glossary of load testing injection patterns to help teams translate intent into realistic traffic. If you’re a performance engineer or a developer moving beyond basic load tests, this one’s for you. Get the datasheet here: https://lnkd.in/e2VKapyB

Your first load test is not your load testing strategy. It’s the start. A lot of teams get that first baseline test done and think they’ve solved performance testing. But scaling the practice is a different problem entirely. More traffic. More services. More teams. More protocols. More complexity. What worked for one simulation, one service, or one release quickly starts to break down. That’s why we created "From 1 to n: how to scale your load testing practice" It’s a practical checklist for teams that are past the starting line and now need to scale load testing in a way that stays realistic, useful, and sustainable. Inside, we cover how to: - Scale virtual users without bottlenecking your injectors - Test failure points, not just expected traffic - Make load profiles reflect production reality - Expand coverage across critical backend flows - Support the protocols your system actually uses - Organize tests and teams as adoption grows Because scaling load testing is not about throwing more traffic at a system. It’s about building a practice your teams can trust as your architecture and organization evolve. If your team has already run the first test, this is the next step. 📘 Read more: https://lnkd.in/efSP4u9G

"No Gatling run, no production." That's not a suggestion at Tikamoon. It's a rule. The French furniture brand (€205M revenue, 200+ engineers) built their entire deployment process around one principle: if you can't prove the site holds under load, you don't ship. Here's how their engineering team thinks about it: → 2 mandatory load test runs before every release → 1 annual capacity test to know exactly where the ceiling is → Tests mirror real traffic weighted by page type, not synthetic happy paths And when they rewrote their simulations from Scala to JavaScript they didn't do it for technical reasons, it was for ownership reasons. "The whole team could really take ownership," said Loïc Chero. That's the shift some teams miss. Performance testing isn't a QA gate. It's a shared responsibility everyone should share: engineering, product, leadership. Because when Black Friday hits and the site goes down, everyone loses. How does your team treat performance testing: checkbox or culture? #performancetesting #loadtesting #ecommerce #engineering #devops

Performance testing is one of the hardest disciplines to get right. Everyone runs load tests. Far fewer catch regressions before production. What's blocking you most right now? 👇 Vote below and drop your war stories in the comments. #performancetesting #SRE #QA #loadtesting

We've been solving the wrong problem. Gatling has spent years giving teams the tools to implement load tests and investigate results. We're proud of what we've built. But at Reload '26, our CTO and Founder Stephane Landelle said something worth sitting with: "The goal of load testing is not to implement load tests. It's to serve the business and provide guarantees that the application will meet the business requirements." That's a different problem than what most performance tools solve. So in 2026, we're making a hard pivot. We're evolving from a load testing tool to a continuous performance intelligence platform built on top of our technical core, but focused on the question that actually matters to the business: will this hold up when it counts? More coming soon. In the meantime, watch Gatling Reload '26 and find out how we're planning on crushing it in 2026. #loadtesting #performanceengineering #devtools #softwaredevelopment #continuoustesting

All set for tomorrow's webinar with Dynatrace. If you want to learn how Gatling and Dynatrace work together, you can't miss this session. 6pm CET / 12pm EST | March 17 2026 Save a seat here: https://lnkd.in/e-pcn9b6 See you!