DevOps Beyond Tools: A Practical Guide for Agile Teams

Explore how agile thinking and DevOps address simple versus complex problems by contrasting planned robot routing with sensor-driven, feedback-based approaches, and discuss navigating uncertainty in autonomous systems.

Tackle uncertainty in complex environments by applying vision, value, and validation as a continuous learning cycle, illustrated by an autonomous car analogy that connects agility and DevOps.

Outline the software development lifecycle's six core processes—requirements definition, design, construction, verification and validation, transition, and operation and maintenance—and explain how environments and releases enable DevOps in agile teams.

Examine the waterfall model as a plan-driven approach, from initial vision to real value delivery, and why requirements-driven development benefits from adaptation when plans change.

Explore agile software development and lean thinking by applying the three core concepts: vision, value, and validation, delivering usable software quickly, collecting customer feedback, and pivoting as needed.

Explore the fundamentals of DevOps and its link to Agile and Lean thinking, contrasting Waterfall with short, potentially releasable releases that enable fail fast, learn fast, and rapid value delivery.

Explore the three existing paradigms for software development—requirements-driven, outcomes and data-driven, and AI-driven development—and why fast deployment is the key bottleneck for agile teams.

Navigate the deployment process flow from coding and testing to staging, release candidates, and production, including unit and integration tests and static analysis with PMD, SonarQube, FindBugs, and CheckStyle.

DevOps breaks silos and fosters collaboration between development and operations, delivering a fast deployment pipeline through continuous integration, delivery, and deployment from commit to production.

Compare continuous integration, continuous delivery, and continuous deployment across real-world scenarios, from new products with no users to safety-critical systems, considering cost, stakeholder feedback, and legal approvals.

Practice data-driven software development by analyzing deployment pipeline data and dashboards, using metrics such as dora metrics, build, business, and operational indicators to guide decision-making and measure roi.

Explore the DevOps culture that unites development and operations through automated pipelines, infrastructure as code, logging, monitoring, incident response, and site reliability engineering.

Spotify adopts DevOps by shifting from a monolithic to a microservices architecture and forming autonomous squads, namely feature, client, and infrastructure, to speed deployments and enable continuous delivery.

Explore how Spotify uses release trains and feature toggles to synchronize client releases within microservices squads, enabling safe, centralized main-branch updates and easier QA in a subsequent lecture.

See how Spotify uses release train and feature toggles to manage risk, while a microservices architecture and canary releases enable safe, incremental production testing with users across hundreds of clients.

DevOps doesn't require microservices. Start with a monolith and analyze when to split as teams scale, balancing easier development and independent deployment against added complexity and cost.

Explore how Meta applies the DevOps culture to testing ideas, using automated tests, incremental rollout, and canary releases—from employees to 2% and 100%—with thousands of commits and weekly releases.

this lecture explains how DevOps culture powers evidence-based decision making at Facebook, using a/b testing and engagement metrics to shape the chat design and its scalable release.

Discover how DevOps enables evidence-based decisions via A/B testing and controlled releases, illustrated by Meta's fax a photo prank and targeted versions to meet local regulations, revolutionizing software quality.

Leverage DevOps to enhance quality assurance through risk management, static code analysis, and automated testing, then mitigate failures with canary releases for live testing with a subset of real users.

Explore how Autodesk leveraged DevOps to accelerate a multi-product release pipeline, move from perpetual to subscription licensing, and enable cloud-based collaboration across desktop, web, and mobile platforms.

Explore Autodesk’s unified devops for code and documents, automating build, testing, packaging, and localization via a translation repository and human-reviewed localization providers.

Explore how DevOps roles—developers, operations professionals, and DevOps engineers—collaborate to automate deployment pipelines, ensure production reliability, and adapt to organizational culture.

Explore how Netflix pioneered chaos engineering to test production reliability by automatically terminating virtual machines and simulating delays and security violations, using Chaos Monkey to evolve resilient DevOps practices.

Netflix applies A/B testing to replace five stars with thumbs up/down, boosting content ratings by 200%, and tests artwork to lift title viewing by up to 30%, under DevOps-driven testing.

DevOps accelerates testing and deployment with automated pipelines and canary releases, enabling data‑driven decisions via A/B testing and cloud‑based subscription models.

Market trends like subscriptions, SaaS, cloud, and many clients trigger DevOps. They drive slow releases and downtime from silos, manual environments, and missing automation.

DevOps speeds agile and lean product management through A/B testing with real users. A deployment pipeline with static code analysis and automated testing raises confidence in delivering high-quality software.

See how DevOps fits the agile mindset and lean foundations, using Scrum and Kanban to speed deployment. Identify common DevOps adoption pitfalls and how to avoid them.

Assess the context to choose DevOps practices that fit your project, from monolithic to microservices and when continuous delivery makes sense. Foster autonomous, collaborative Dev and Ops teams, avoid hype.

Discover why DevOps matters for tech businesses, apply agile DevOps principles to improve deployment, automate tests, use static code analyzers, and leverage A/B testing for better decisions.

Master versioning with Git and GitHub to manage concurrent code changes, recover previous states, and build a portfolio that boosts your software career.

Learn what a version is and how Git versions and version control manage unique states of files, using a photo-like analogy to safeguard code history.

Learn how version control tracks and manages file changes, enabling restore and comparison, and why Git provides true version control for software projects beyond Google Docs.

Understand how Git provides a distributed version control system for multi-file projects, enabling team collaboration through a central repository and GitHub as the center of operations.

Install Git on your machine across Windows, macOS, and Linux from git-scm.com, configure your global user name and email, verify settings, and prepare to create a GitHub account.

Create your GitHub account to host versioned code, manage public or private repositories, collaborate on projects worldwide, and showcase your portfolio to recruiters.

Learn the Git versioning lifecycle from working directory to the local repository, using git add and git commit, while understanding the staging area and the central repository.

Create a local git repository by turning the Recipe folder into a repo with git init in Git Bash, revealing the hidden .git folder and master branch, ready for versioning.

Learn to version files with Git using a cappuccino recipe as a case study, check Git status, stage with Git add, and commit with clear messages.

Learn to view a Git repository's history with git log, exploring commits, hashes, authors, and messages, and use git show to inspect changes and file diffs.

Learn to create a GitHub remote repository from a local git setup, rename master to main, and push commits to origin for a public project.

Clone a remote repository from GitHub using git clone to create a local copy and access files for collaboration, with a future look at GitHub Desktop for easier versioning.

Learn to push changes to GitHub using GitHub Desktop on Windows and Mac, clone repositories, manage commits and history, and add a README.md to build your online portfolio.