ROADMAP
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.
OUR VISION
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.
AI IDE Assistant
Generate, edit, and understand performance tests directly from your IDE with AI assistance, accelerating test creation and iteration.
MCP Server
Launch and manage load tests directly from your development environment using a local MCP server, streamlining workflows.
AI Run Summary
Understand what happened, detect anomalies, and get actionable next steps without digging through dashboards.
JMeter Migration
Use AI to migrate large JMeter tests to Gatling, reducing the effort required to modernize performance testing.
LoadRunner Migration
Use AI to migrate LoadRunner tests to Gatling, reducing the effort required to modernize performance testing.
Test Generation from Playwright
AI Gatling test crafting from a Playwright test.
Test Generation from Postman, Insomnia & Bruno
Extend AI-assisted test generation to Postman, Insomnia, and Bruno collections, turning any existing API test suite into a Gatling load test.
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.
SLO Management
Define and manage Service Level Objectives directly in the UI to formalize performance expectations and measure them continuously.
Injection Profiles
Configure test conditions and load patterns without modifying code, making it easier to design and iterate on performance scenarios.
Decision Enablement
Performance data becomes more valuable when it is easier to understand, correlate, and share. This pillar focuses on helping teams connect load testing with their observability stack and make faster, better-informed decisions.
AI Run Summary
Understand what happened, detect anomalies, and get actionable next steps without digging through dashboards.
New Relic Integration
Stream load testing metrics directly into New Relic to correlate application performance with infrastructure behavior in real time.
InfluxDB Integration
Export performance testing data to InfluxDB and integrate it into your existing monitoring and analytics pipelines.
OpenTelemetry Integration
Send load testing metrics using the OpenTelemetry standard to any compatible backend, unifying observability across your stack.
Failure Diagnosis
Automatic diagnosis for broken runs based on known, recurring error patterns. Get context and a suggested fix directly on the run page, without digging through logs.
Jira Auto-Ticketing
Automatically create a Jira ticket when a run fails, an assertion breaks, or an SLO isn't met, so performance issues get triaged without manual handoff.
Distributed Tracing (Datadog, Dynatrace, New Relic, OpenTelemetry)
Correlate load test runs with distributed traces across your APM of choice, connecting performance results directly to the trace behind them.
Native Tracing & Analysis
A built-in tracing system and analysis layer, giving teams trace-level visibility without needing a third-party APM.
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.
Usage Dashboard
Track usage, monitor trends, and understand how teams consume resources to better plan and scale performance efforts.
Credit Limit Alerts
Email organization admins automatically when usage approaches credit limits, avoiding surprise overages.
Failed Test Notifications
Email organization admins when a test fails, keeping leadership in the loop without needing to check dashboards.
OUR LATEST INNOVATIONS
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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