You have an EKS cluster humming in production and a QA team that loves TestComplete. Then someone asks, “Can we automate UI tests against the same microservices we deploy to EKS?” That’s when the real fun begins.
Amazon EKS excels at orchestrating containers, managing scaling, and keeping your pods healthy. TestComplete, on the other hand, is great for functional, regression, and UI testing without forcing engineers to reinvent the wheel. When you integrate the two, your test runs become part of the same deployment lifecycle as your workloads. Less manual setup, more confidence before every release.
The common pain point is identity and access. Running TestComplete jobs inside or against an EKS cluster means securely authenticating tests to protected services. You don’t want to sprinkle long-lived AWS credentials across nodes. Instead, connect TestComplete to EKS through short-lived tokens or IAM roles mapped with RBAC. This lets the test agent run with tight permissions, execute necessary calls, then expire safely.
A practical workflow looks like this: TestComplete triggers a pipeline job, authenticates through the same identity provider you use for developers (Okta, Azure AD, or anything OIDC-compatible), then spins up a test container in EKS. That pod runs scripted UI or API tests against staging endpoints, gathers results, and tears itself down. Clean, auditable, and automatically scoped per run.
Quick answer: To connect TestComplete to EKS, configure the test runner to use your CI’s temporary AWS credentials or OIDC tokens. Map them to a Kubernetes service account with the right role bindings. Each job then authenticates dynamically, avoiding static secrets.
Best practices for running TestComplete on EKS
- Use Kubernetes namespaces per test environment to isolate data and logs.
- Apply least-privilege RBAC. Don’t bind cluster-admin roles to test pods.
- Rotate OIDC credentials frequently through your CI/CD platform’s secret manager.
- Store TestComplete test results in S3 or EFS for persistent access after the pod exits.
- Monitor through CloudWatch or Prometheus dashboards to detect flaky tests early.
These habits speed up QA feedback and keep compliance teams happy. Developers get repeatable results without wasting time hunting expired tokens or debugging mismatched configs. Engineering managers get proof that every test pass came from the right environment, not someone’s local machine.
Platforms like hoop.dev take this one step further. They turn those identity and access rules into policy-enforcing guardrails. Instead of manually wiring IAM roles for every service or test runner, hoop.dev automates access to EKS endpoints through an environment-agnostic identity proxy. It keeps your QA tools aligned with your production trust model.
AI copilots in testing are also changing the game. They can schedule, interpret, and suggest fixes based on failed TestComplete runs. Connected through EKS, those agents can auto-trigger corrective workflows, making infrastructure and QA loops tighter than ever.
When EKS and TestComplete share a single identity flow, testing becomes part of deployment — not an afterthought. Security and speed no longer cancel each other out. They stack.
See an Environment Agnostic Identity-Aware Proxy in action with hoop.dev. Deploy it, connect your identity provider, and watch it protect your endpoints everywhere—live in minutes.