Mastering Software Deployment for Scrum Masters

Plan from ideation to deployment by defining environments and resources, then implement source code management with git and GitHub to enable branching, reviews, and merging to main.

Explore branching strategy through a collaborative story analogy and compare source code management tools like GitLab, Bitbucket, and Azure DevOps, while introducing DevOps, CI, CD, and version control.

Move code from development through pull requests, QA, and pre-prod to production using version control, feature branches, and UAT before release.

Identify a build candidate as a fully tested software version ready for evaluation for deployment. It acts as a checkpoint to ensure only stable, functional builds progress.

DevOps combines development and operations into a collaborative, automated workflow, enabling continuous integration, delivery, deployment, and monitoring with tools like Jenkins, Git, and Docker.

Compare CI CD pipeline tools such as Hudson, Jenkins, Bamboo, and GitLab CI CD to reveal ideal use cases, while highlighting benefits like speed, rapid feedback, reliability, and quality.

Explore the DevOps lifecycle from plan to monitor, using restaurant analogies to show how planning, coding, building, testing, releasing, deploying, operating, and monitoring fit together.

Hotfix acts as a fast emergency patch to stop app crashes and restore normal use by bypassing the usual update process.

Outline the feature development life cycle from idea to deployment, using Jira boards, creating branches, pull requests, code reviews, merging, and Jenkins in a CI/CD pipeline.

Discover how continuous integration and deployment automate building, testing, and delivering software with a master builder, artifact repositories, deployment scripts, and infrastructure as code.

Escape the velocity trap by applying systems thinking to optimize the entire value stream from idea to customer, breaking silo thinking across dev, QA, security, and ops.

Build deployment-ready software through clean code, strong version control, automated tests, and a shared definition of done. Implement ci/cd, code reviews, and scrum master facilitation to sustain quality and speed.