Welcome to
Continuous Performance Intelligence

Gatling is entering a new phase.

Explore our AI-powered product vision, discover what we shipped in 2025, and see what’s coming next as we build the future of performance engineering.

A New Chapter
for Performance Engineering

Gatling is evolving  from a load testing tool into a Continuous Performance Intelligence platform helping teams turn performance data into confidence, clarity, and action across the organization.

Load testing has matured technically. Now it must mature organizationally, aligning with business goals, enabling better decisions, and scaling beyond a few specialists.

What Continuous Performance
Intelligence brings

From Data to Decisions

Performance data only matters if it helps teams act. Continuous Performance Intelligence helps organizations turn test results into clear priorities, actionable insights, and better release decisions.

From Test to Trust

Teams do not run load tests for the sake of testing. They do it to build confidence that systems will hold under pressure, releases will perform as expected, and the business can move faster with less risk.

From Complexity to Clarity

Modern systems create more layers, more dependencies, and more signals to interpret. Continuous Performance Intelligence helps teams understand what matters, what is changing, and what to do next.

From Experts to Everyone

Performance can no longer depend on a small group of specialists. Gatling is building a platform that makes performance engineering easier to adopt, easier to scale, and easier for every stakeholder to understand.

The 4 Pillars
of our Roadmap

Scaling Usage with AI

AI-powered capabilities to generate tests, assist development workflows, accelerate migrations, and guide users across the platform with contextual intelligence.

Performance Methodology

Structured capabilities to define test strategies, configure load conditions, organize initiatives, and formalize performance objectives directly in the platform.

Decision Enablement

Integrations and analytics features to correlate performance data, surface insights, and turn test results into actionable decisions across teams.

IT leadership Visibility

Dashboards, reporting, and APIs to track adoption, monitor performance outcomes, and provide leadership with clear visibility into performance efforts at scale.

Scaling Usage with AI

AI is becoming a continuous companion across the performance engineering lifecycle, helping teams create tests faster, modernize existing test suites, understand platform capabilities, and build custom reporting workflows.

Q1

AI IDE Assistant

LIVE

Generate, edit, and understand performance tests directly from your IDE with AI assistance, accelerating test creation and iteration.

Q1

MCP Server

LIVE

Launch and manage load tests directly from your development environment using a local MCP server, streamlining workflows.

Q1

AI Run Summary

LIVE

Understand what happened, detect anomalies, and get actionable next steps without digging through dashboards.

Q2

Migration Assistants

Use AI to migrate large test suites from other tools or older Gatling versions, reducing the effort required to modernize performance testing.

Q2

Campaign Design Assistant

Get AI guidance to define performance strategies, select the right test types, and design effective campaigns for your applications.

Q3

Contextual Feature Assistant

Understand platform capabilities faster with an AI assistant that explains features and guides you through workflows in context.

Q4

MCP Server for Campaign Reporting

Extend reporting capabilities with MCP integrations to create custom, organization-wide performance intelligence dashboards.

Performance Methodology

Performance testing delivers more value when teams define intent up front: what they want to validate, under which conditions, and against which success criteria. This pillar helps teams formalize methodology directly in the platform.

Q1

SLO Management

LIVE

Define and manage Service Level Objectives directly in the UI to formalize performance expectations and measure them continuously.

Q1

Injection Profiles

Configure test conditions and load patterns without modifying code, making it easier to design and iterate on performance scenarios.

Q1

Campaigns

Group tests into structured performance initiatives with clear objectives and measurable outcomes, aligning testing efforts with business goals.

Q2

Projects

Organize campaigns across your application portfolio, giving teams a structured view of performance efforts at scale.

IT Leadership Visibility

Performance engineering should not stay buried in technical tooling. This pillar gives leaders a clearer view of adoption, usage, results, and progress so performance becomes a visible part of engineering maturity.

Q1

Usage Dashboard

LIVE

Track usage, monitor trends, and understand how teams consume resources to better plan and scale performance efforts.

Q3

Automated Campaign Reports

Automatically generate and share performance reports for campaigns, giving stakeholders clear visibility without requiring manual analysis.

Q3

Metrics Time Series API

Access performance data programmatically through time series APIs to build custom dashboards and advanced analytics workflows.

Q4

Campaign & Project Results API

Access detailed results for campaigns and projects programmatically to power advanced reporting and internal performance platforms.

Missed our latest releases?

Discover everything Gatling shipped in 2025
to help teams build, run, and scale performance tests more efficiently.

From AI-assisted scripting and browser-based test creation to stronger governance, richer APIs, and deeper observability integrations, these releases were built for the reality modern engineering teams face today.

Want to explore
the roadmap with us?

See how Continuous Performance Intelligence
can apply to your organization and priorities.

Your all-in-one load testing platform

Design complex tests, manage global infrastructure, and turn results into action on one powerful platform.

Need technical references and tutorials?

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