TL250 – Red Hat Training: Open Practices for your DevOps Journey — Lesson 3: Collaborative Delivery, Visual Management, Flow, Feedback, and Team Practices

Learning Objectives

• Evaluate integration, security, resilience, performance, and exceptions affecting visual management, work flow, and feedback cycles.
• Apply team collaboration and delivery practices while preserving reviewable technical evidence.
• Recognize and correct the condition where the implementation succeeds normally but fails during dependency loss, scale, policy enforcement, or recovery.

Detailed Topics

• visual management: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• work flow: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• feedback cycles: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• team collaboration: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.
• delivery practices: apply the concept to the course scenario, identify dependencies and controls, and record objective evidence of the result.

Instructor Demonstration

The instructor demonstrates collaborative delivery, visual management, flow, feedback, and team practices by tracing architecture, commands, configuration, system messages, and evidence. The walkthrough tests how the implementation succeeds normally but fails during dependency loss, scale, policy enforcement, or recovery and explains how to isolate the cause without masking related issues.

Hands-On Exercise

Introduce a realistic boundary condition and test corrective behavior for Collaborative Delivery, Visual Management, Flow, Feedback, and Team Practices and add the verified result to the product discovery canvas, prioritized experiment backlog, delivery metrics, and team improvement plan.

1. Confirm scope, versions, access, dependencies, assumptions, and acceptance criteria.
2. Perform the workflow while recording commands, configuration, output, events, and decisions.
3. Test the normal path and one course-specific exception or boundary condition.
4. Retest the correction and document rollback, ownership, and follow-up actions.

Scenario Analysis

• Identify which dependency most strongly influences visual management in the stated scenario.
• Compare two approaches for team collaboration and explain the security, reliability, performance, and support trade-offs.
• Decide what evidence must be retained in the product discovery canvas, prioritized experiment backlog, delivery metrics, and team improvement plan before operational acceptance.

Troubleshooting Guidance

Begin with the first observable difference from the expected result. Check integration, security, boundary conditions, resilience, and performance separately, then correlate logs, events, commands, metrics, and configuration history. Treat the assumption that the implementation succeeds normally but fails during dependency loss, scale, policy enforcement, or recovery as a hypothesis until a reproducible retest confirms the cause.

Validation Checklist

• The required integration, security, boundary conditions, resilience, and performance were checked and recorded.
• The normal path and a course-specific exception were tested.
• The product discovery canvas, prioritized experiment backlog, delivery metrics, and team improvement plan links conclusions to commands, configuration, logs, metrics, or other objective evidence.
• Corrective actions, rollback, ownership, and handover notes are complete.

Lesson Outcome

Learners can apply Collaborative Delivery, Visual Management, Flow, Feedback, and Team Practices, explain the observed platform behavior, and support the result with a reviewable product discovery canvas, prioritized experiment backlog, delivery metrics, and team improvement plan.