Testing MuleSoft Integrations (Course #testing-integrations)

For QA engineers, test leads.

Ref#testing-integrations
Duration2 days
Formats4 ways
Cert prep—
PrerequisitesNone

By the end, you can

By the end of this course, you will be able to build and enforce a layered test strategy — MUnit gated at ≥ 80% coverage in CI, mock-driven contract tests, calibrated load profiles — so that defects surface before production.

Running case study

NordPay Systems clears SEPA and card payments through 35 Mule APIs on CloudHub; last quarter two releases shipped a broken currency mapping and an untested PSP timeout path, triggering €180k in reversals. QA leadership now blocks promotion unless MUnit covers ≥ 80% of error routes, contract suites pass against mocks and a 200 TPS soak holds p95 under 800 ms.

Programme every line is something you do

6 modules · 18 topics · in course-flow order

  1. Module 1

    Structure the test pyramid

    Objective. Arbitrate what gets verified at each pyramid level and deliver a risk-ranked test matrix per API.

    • Map unit, integration and E2E levels onto an API-led estate, targeting a 70/20/10 effort split
    • Weight each flow's error routes by incident frequency to decide which get tests first
    • Flag inverted-pyramid anti-patterns using coverage-vs-runtime ratios (suites slower than 5 min)
  2. Module 2

    Gate flows with MUnit

    Objective. Instrument flows with MUnit connector mocks and spies until ≥ 80% of error routes are covered, proven by a suite report.

    • Author MUnit suites with connector mocks, flow spies and payload assertions (coverage target: ≥ 80%)
    • Cover every error-handler branch, including reconnection paths, with mocked connectors and dynamic ports
    • Parameterize MUnit tests with input sets so one suite validates many mappings without duplication
  3. Module 3

    Break the build on regression

    Objective. Wire MUnit into CI and publish coverage evidence that fails builds below the agreed threshold.

    • Run MUnit via Maven in the pipeline and publish per-module coverage reports (gate: fail under 80%)
    • Configure coverage gates plus a flaky-test quarantine rule (max 1 automatic retry per suite)
    • Version test suites next to RAML/OAS specs so any spec change updates contract tests in the same PR
  4. Module 4

    Test by contract, not by hope

    Objective. Drive Postman and SoapUI suites from the mocking service and prove conformance to the published spec.

    • Generate Postman collections from OAS/RAML specs and execute them against the mocking service
    • Assert status codes, headers and error contracts per endpoint, down to 4xx payload schemas
    • Isolate dev/test sandboxes with environment variables and secrets so one collection runs anywhere
  5. Module 5

    Load until it hurts

    Objective. Quantify throughput ceilings with ramp-and-soak profiles and name the top bottleneck of each run.

    • Script load profiles with JMeter or k6: ramp 0→200 TPS, then a 30-minute soak on non-prod
    • Read p95/p99 latency, error rate and GC pauses to tell saturation apart from memory leaks
    • Attribute bottlenecks to connection pools, thread counts or a 300 ms downstream call budget
  6. Module 6

    Deterministic or useless

    Objective. Eliminate flakiness with mocked externals, controlled fixtures and idempotent, repeatable runs.

    • Stub external systems so no test ever reaches a live PSP, CRM or mainframe
    • Seed and reset test data per run (fixtures, teardown scripts) to guarantee repeatable executions
    • Quarantine flaky tests behind a retry budget (≤ 2 retries) and track a burn-down to zero

References & Official Documentation every claim above has a source

Module 1

Module 2

Module 3

Module 5

Module 6

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