OutSystems Platform Ops Engineer study plan

Map each OutSystems environment stage (Development, Quality, Pre-Production, Production) to its purpose, isolation boundary, and typical configuration differences, and write a one-page comparison table from memory.

Diagram the OutSystems platform architecture layers (controller, deployment controller, front-end servers, database, cache, search index) and label which component fails when a given symptom appears.

Enumerate the LifeTime roles and permissions that govern environment-level operations, and explain which role is required for each of five common operational actions.

Trace the end-to-end path of a single user request through the platform and identify three points where a bottleneck or failure could occur.

Execute a full environment health-check routine: verify service status, check the deployment controller and scheduler, review error logs, and confirm database connectivity, then record each step as a repeatable checklist.

Configure and interpret platform logs and the built-in monitoring console, distinguishing between application errors, platform errors, and infrastructure alerts.

Diagnose five injected or historical failure scenarios (e.g., stuck deployment, cache inconsistency, search index out of sync) and document the resolution path for each.

Describe the process for applying a platform server update and the pre/post-update verification steps, including rollback criteria.

Walk through the full application lifecycle from development to production, explaining what happens at each promotion step and which artifacts move between environments.

Build and deploy a solution through LifeTime, resolving at least two realistic dependency or conflict errors and recording how each was diagnosed.

Explain the tagging and versioning strategy for applications and solutions, and justify a versioning convention for a multi-team portfolio.

Compare deployment options (manual, scheduled, automated pipelines) and state the risk profile and rollback approach for each.

Configure IT roles and teams in LifeTime so that a hypothetical developer, tester, and operator each receive least-privilege access, and justify each permission granted.

Explain how environment-level security settings, IP restrictions, and authentication integration affect the deployment pipeline.

Describe the audit trail available for deployments and permission changes, and specify what evidence an auditor would request.

Produce a rollback plan for a failed production deployment, including data-model implications and communication steps.

Audit a sample application's authentication and authorization model, identifying where end-user roles, screen permissions, and server-side checks must align.

Explain secure coding and configuration controls relevant to operations: secrets handling, connection-string protection, and integration endpoint security.

Interpret security-relevant platform logs and alerts, and define an incident response sequence for a suspected unauthorized access event.

Map the platform's security features to common compliance evidence requirements (access reviews, change management, logging retention).

Identify the key performance indicators for platform health (response time, error rate, resource utilization, database load) and specify how each is collected and baselined.

Analyze a slow-application scenario and separate platform-level causes from application-level causes using logs, metrics, and query behavior.

Explain caching layers, their invalidation behavior, and the operational consequences of cache misconfiguration in a multi-server environment.

Describe horizontal and vertical scaling options for front-end servers and the database, including the prerequisites and risks of each.

Build a capacity model that translates expected concurrent users and transaction volume into front-end, database, and storage requirements.

Define a load-testing approach, including what to measure, how to interpret results, and how to distinguish saturation from inefficiency.

Establish a monitoring and alerting baseline with thresholds for each key indicator, and justify each threshold against the capacity model.

Plan a scaling event (e.g., seasonal peak) with a timeline of pre-scaling checks, during-peak monitoring, and post-peak review.

Consolidate all prior runbooks, checklists, and plans into a single operational handbook with consistent terminology and cross-references.

Complete a timed full-length practice assessment under exam conditions and score each domain separately to expose weak areas.

Re-study the two weakest domains using targeted drills, then re-test those areas to confirm improvement.

Rehearse explaining five core operational decisions (deployment strategy, access model, rollback, scaling, incident response) aloud in exam-style answers.