Which mainframe testing tools integrate with enterprise CI/CD pipelines?

Look for a tool that plugs into the pipeline you already run rather than one that owns the pipeline. TestMu AI connects through 120+ CI/CD and DevOps integrations, including Azure DevOps, JIRA, and Slack, so a channel or API suite runs on every commit and the merge fails on a regression. Execution runs on HyperExecute, and results land back in Test Manager against the requirement they cover.

Which mainframe testing tools scale to large parallel runs?

Scale comes from how the tool distributes work, not from how many agents you license. HyperExecute keeps the test code and the execution components in one isolated environment and splits a suite with matrix, auto-split, or hybrid strategies, which runs it up to 70% faster than a traditional hub and node grid. Just-in-time VMs spin up per job and are wiped afterward, so a large nightly regression does not need a standing fleet. See automated regression testing for the suite side of that.

Does TestMu AI automate 3270 green screen terminals?

No. We do not drive 3270 terminal emulation, batch jobs, JCL, or COBOL unit tests. TestMu AI automates the layers around the core: the web portal, the mobile app, the APIs the core exposes, and the end-to-end journeys that cross it. Those green screen cases can still live in Test Manager as manual cases, so one traceability matrix covers the whole program even though the automation covers part of it.

Which mainframe layers can TestMu AI actually test?

Six of them: web portal journeys, mobile app journeys, the APIs the core exposes, end-to-end journeys that cross the core, load on mainframe-backed endpoints, and visual and accessibility checks on those channels. The coverage table on this page lists each one against what needs a host-side tool instead. Browser and mobile execution run on Automation Cloud and Real Device Cloud.

Can we manage manual mainframe test cases alongside automated ones?

Yes, and this is usually the reason mainframe QA teams start here. Test Manager holds manual and automated cases in the same workspace, so a manual 3270 case and an automated portal case sit in one cycle and roll up into one pass or fail view. AI can draft a case from a written requirement, and JIRA and Azure DevOps sync both directions. Details on Test Manager.

How do we test the APIs our mainframe exposes?

Treat them as ordinary service tests. Assert status codes, headers, and payload fields, then compare responses before and after a change so a dropped field or a altered record value shows up as a failure instead of a support ticket. API and UI checks run in the same pipeline against the same environment. See API testing.

Can we test an internal mainframe-backed portal with no public URL?

Yes, through LT Tunnel. It connects the cloud browser to a host on localhost, a staging network, or an internal network behind a firewall over WebSocket, HTTPS, or SSH, and the application traffic never goes out to the public internet. Start the tunnel, set the tunnel capability in the test config, and sessions route through it. Setup is in the TestMu AI docs.

Can TestMu AI run inside our own data center?

Yes. Dedicated private cloud and on-premise deployment are available for estates that cannot send data to a shared multi-tenant cloud. AWS private cloud is documented for three US regions plus Frankfurt, Mumbai, and Sydney, and Azure is documented separately. One limit to plan around: private cloud automation is documented for Linux and Windows only, so macOS and Safari coverage stays on the public cloud. See private real device cloud and on-premise grid.

How do we prove mainframe release coverage to an auditor?

Through the traceability matrix, which links each requirement to its test cases, execution history, and defects, so coverage gaps surface before sign-off instead of after. Manual and automated outcomes appear in the same cycle view, which matters when part of the estate is tested by hand. TestMu AI holds SOC 2 Type 2, GDPR, and CCPA; anything beyond those three should be confirmed with our security team before it goes into an RFP response.

We are migrating off the mainframe. Where should we start?

Start by pinning the journeys that cross the core as regression cases, then run them against both the old path and the rebuilt one so a cutover has a baseline to compare against. That workflow has its own page: mainframe modernization testing. For the concepts, types, and process behind mainframe testing as a discipline, read what mainframe testing is.

Mainframe Testing Across Channels and APIs

TestMu AI covers the automatable layers of a mainframe estate: the web and mobile channels, the APIs your core exposes, and the evidence behind them.

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Mainframe Coverage Map

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The layers we automate, the layers Test Manager governs, and the ones that need a host-side tool.

Automated on TestMu AI

Governed in Test Manager

Needs a host-side tool

Web portal journeys

Yes

Mobile app journeys

Yes

APIs the core exposes

Yes

End-to-end journeys that cross the core

Yes

Load on mainframe-backed endpoints

Yes

Visual and accessibility checks on those channels

Yes

3270 green screen flows

Yes, as manual cases

Yes

Batch jobs and JCL

Yes, as manual cases

Yes

COBOL unit tests

Yes, as manual cases

Yes

Dataset and VSAM validation

Yes, as manual cases

Yes

Testing Layers Around the Core

Channel regression, the service layer over the core, load on mainframe-backed endpoints, and one place to govern every case.

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CHANNEL REGRESSION

Regress the Channels You Own

The portal and app in front of the core change every sprint. Run your Selenium, Playwright, or Cypress suite across 3,000+ browser and OS combinations.

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Selenium, Playwright, Cypress, and Puppeteer supported
10,000+ real Android and iOS devices for the mobile app
Network, console, video, and command logs on every run

SERVICE LAYER

Validate the APIs Over the Core

Channels call services instead of the core directly. Assert status codes, payload fields, and record values on every run.

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Assert status codes, headers, and payload fields
Compare responses before and after a change
Run API and UI checks in the same pipeline

LOAD AND SCALE

Load Mainframe-Backed Endpoints

Batch windows and cutover weekends concentrate traffic. Run the suite in parallel on HyperExecute, up to 70% faster than a traditional grid.

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Up to 70% faster than a traditional cloud grid
Matrix, auto-split, and hybrid test distribution
Just-in-time VMs, wiped after every run

TEST MANAGEMENT

Govern Every Mainframe Test Case

Manual green screen cases and automated channel cases live in one workspace, with a traceability matrix behind both.

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Manual and automated results in one cycle view
Requirement to test to run to defect traceability
Two-way sync with JIRA and Azure DevOps

How Mainframe QA Teams Roll This Out

Most teams we work with arrive with a split estate: manual green screen runs on one side, a browser suite someone wrote for the portal on the other. This is the order that tends to pay off.

01. Consolidate the case inventory

Manual 3270 cases and automated channel cases sit in one workspace and roll up into a single pass or fail view. Reporting improves before coverage does.

02. Automate the channels first

The portal and app change most often, so they pay back first. Run on 3,000+ browser and OS combinations and 10,000+ real devices, over LT Tunnel if needed.

03. Add the service layer and load

Assert status codes, headers, and payload fields on core APIs, compare responses across a change, then run load around batch windows and cutover weekends.

Built for Regulated Mainframe Estates

Private Network Access

Reach an internally hosted portal or staging host through LT Tunnel over WebSocket, HTTPS, or SSH. No public URL.

SOC 2 Type 2, GDPR, CCPA

Isolated VMs, TLS 1.3 in transit, AES-256 at rest, and vault-backed secrets on every run.

Requirement to Defect Trail

One traceability matrix links each requirement to its test cases, runs, and defects for release evidence.

CI/CD Quality Gate

Gate the pipeline on the run, with 120+ CI/CD and DevOps integrations including Azure DevOps, JIRA, and Slack.

Public, Dedicated, On-Premise

Run on the shared cloud, a dedicated private instance, or inside your own network on AWS or Azure.

Bring Your Own Framework

Selenium, Cypress, Playwright, Puppeteer, and 50+ more. No rewrite and no proprietary DSL.

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Success Stories of TestMu AI (Formerly LambdaTest)

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reduction in test execution time

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