NeoLoad 2026.2: Enable scaled performance validation across teams

Key takeaways:

• The new DevOps Workspace gives development teams their own purpose-built workspaces with dedicated resources to run performance tests in CI/CD pipelines. Center of excellence (COE) resources remain separate, and performance engineers keep a focused workflow.
• Pre-built SAP Fiori/UI5 parameter framework rules and MCP server load testing bring NeoLoad coverage to complex SAP interfaces and AI-driven agentic architectures.
• NeoLoad Web analysis updates, Dynamic Load Control, and Secret Vault round out a release that cuts analysis time, lets you adjust load mid-test, and keeps credentials out of scripts.

Performance engineering teams are already stretched. AI-accelerated development means more code, more releases, and more pressure on the people responsible for making sure it all holds up.

Tricentis NeoLoad 2026.2 is built around a straightforward premise: performance validation must scale to match the pace of delivery, and that means more than just making specialists faster.

See it in action: [Webinar] NeoLoad 2026.2: Empowering scaled workflows

A dedicated workspace for dev teams

The biggest structural addition in this release is the DevOps Workspace: a dedicated, purpose-built workspace where development teams can run frequent, early-stage performance tests directly in CI/CD pipelines without pulling from the central pool of virtual users or stepping on the performance team’s workflow.

Each workspace provides teams with isolated capacity and independent resource allocation, giving them the ability to run multiple tests in parallel. All results roll up to the same platform, so the central performance team keeps visibility and governance across every team without having to manage every test run.

More: [Webinar] How NeoLoad integrates seamlessly into CI/CD pipelines

What makes this more than just a pipeline testing feature is the flexibility it provides across the full testing lifecycle.

Tests built in a DevOps Workspace can be promoted directly to full-scale performance campaigns seamlessly. This flexibility allows users to support the needs of every team, at every scale, from early pipeline validation all the way through full end-to-end performance tests, on one enterprise platform.

Automated SAP Fiori parameter frameworks

Testing SAP Fiori or UI5 applications has always involved repetitive manual work: identifying session variables, inspecting traffic, locating dynamic tokens, writing extraction rules by hand. For teams in the middle of an S/4HANA transformation, that overhead adds up fast.

The pre-built SAP Fiori/UI5 parameter framework handles session-variable setup automatically. Complex SAP environments will still surface edge cases that need manual adjustment, but scripting and maintenance time for common Fiori/UI5 scenarios drops significantly. In large SAP environments, that efficiency compounds quickly.

Load testing for MCP servers

If your organization is deploying AI agents, MCP servers are acting as the critical layer that connects agents to enterprise systems, and they are already part of your infrastructure. Most teams are shipping them without ever putting them under realistic load.

Agent-driven traffic doesn’t behave like human-driven traffic. Agents fire rapid sequences of requests that spike in ways traditional load patterns don’t account for. NeoLoad now supports native MCP server load testing, so teams can model that traffic, validate infrastructure before it reaches production, and establish baselines before agent adoption scales. The teams deploying MCP now are the ones who will benefit most from getting those baselines in place early.

About NeoLoad MCP: [Webinar] 3 MCP use cases that demonstrate NeoLoad’s latest capabilities

Faster daily workflows

Three smaller updates round out the release. NeoLoad Web delivers updated data visualization for faster trend analysis and run comparisons without leaving the web interface.

Dynamic Load Control lets teams increase or decrease simulated users mid-test without stopping the run, which becomes especially useful for exploratory testing and threshold discovery.

And Secret Vault retrieves credentials at runtime and purges them after use, keeping them out of test scripts without adding steps to the workflow, and putting your security teams at ease.