Oreilly – Automating API Delivery, Video Edition 2024-7

Published on: 2024-09-14 20:56:48

Categories: 28

Description

Automating API Delivery Video Edition course. This course shows you how to achieve the ideal balance between speed and usability by automating the API delivery process. By applying the principles of DevOps automation to API design and delivery, a clear path is drawn for making the organizational and technical changes needed to deliver high-quality APIs quickly and reliably. The author of the book, Aykenna Nawaivo, provides a comprehensive guide to implementing APIOps in your organization. He carefully walks through the technical steps and introduces essential open source tools, along with practical advice and insights from his years of experience. You’ll benefit from his personal tips to avoid common mistakes and challenges of transitioning to automated API delivery.

What you will learn

Apply API design standards using Lint.
Automate fundamental change checks to control design changes.
Ensure accuracy of API reference documentation.
Centralize API definition consistency checks.
Automate API configuration deployment.
Conduct effective API design reviews.

This course is suitable for people who

Experience building RESTful APIs is a must.

Automating API Delivery Video Edition course specifications

Publisher: Oreilly
Teacher: Ikenna Nwaiwu
Training level: beginner to advanced
Training duration: 11 hours and 49 minutes

Course headings

Chapter 1. What is APIOps?
Chapter 1. Tackling the scaling problem
Chapter 1. APIs and API products
Chapter 1. Why should you care about APIOps?
Chapter 1. Key principles of APIOps with OpenAPI
Chapter 1. APIOps practices you’ll learn in this book
Chapter 1. How APIOps affects API governance
Chapter 1. Challenges with adopting APIOps with OpenAPI
Chapter 1. Summary
Chapter 2. Leaning into APIOps: Problem-solving and leading improvements
Chapter 2. The A3 approach to APIOps improvements
Chapter 2. Theme and background
Chapter 2. Current conditions and problem statement
Chapter 2. Goal statement
Chapter 2. Root-cause analysis
Chapter 2. Countermeasures and target conditions
Chapter 2. Effect confirmation
Chapter 2. Follow-up actions
Chapter 2. Reviewing your A3
Chapter 2. Identifying waste in your value stream
Chapter 2. Benefits of using the A3
Chapter 2. Leading your APIOps transformation
Chapter 2. Summary
Chapter 3. API linting: Automating API consistency
Chapter 3. An API design compliance problem
Chapter 3. Introducing API linters
Chapter 3. Running Spectral to check for compliance
Chapter 3. Running Spectral linting in VS Code
Chapter 3. Creating a Spectral rule for info.description
Chapter 3. Creating a Spectral rule for path versioning
Chapter 3. Extending rulesets
Chapter 3. Overriding API linting rules
Chapter 3. Introducing AI coding assistants
Chapter 3. Using LLMs for automated linting
Chapter 3. Summary
Chapter 4. Breaking change checks: Managing API evolution
Chapter 4. The problem of understanding what changed
Chapter 4. API diffs
Chapter 4. Detecting breaking changes
Chapter 4. Generating API changelogs
Chapter 4. Breaking changes and API evolution
Chapter 4. API versioning schemes
Chapter 4. API versioning scope
Chapter 4. API versioning identifiers
Chapter 4. Costs involved with version migration
Chapter 4. Breaking change policy
Chapter 4. Managing breaking changes
Chapter 4. Summary
Chapter 5. API design review: Checking for what you cannot automate
Chapter 5. Running an API review meeting
Chapter 5. Challenges with API reviews
Chapter 5. Measuring review effectiveness
Chapter 5. Defining your API design review process
Chapter 5. API review examples
Chapter 5. Summary
Chapter 6. API conformance: Generating code and API definitions
Chapter 6. Generating code from OpenAPI
Chapter 6. Generating OpenAPI from code
Chapter 6. Summary
Chapter 7. API conformance: Schema testing
Chapter 7. Code-based schema tests
Chapter 7. Things to consider with code-based schema tests
Chapter 7. Generating schema tests
Chapter 7. Using a validating proxy for consistency
Chapter 7. Comparing API conformance approaches
Chapter 7. How schema tests differ from consumer-driven contract tests
Chapter 7. Summary
Chapter 8. CI/CD for API artifacts 1: Source-stage governance controls
Chapter 8. Version control to the rescue
Chapter 8. Auto-validating the MDRC
Chapter 8. Introduction to GitHub Actions
Chapter 8. Setting up the MDRC
Chapter 8. Automated governance controls
Chapter 8. PR builds
Chapter 8. PR description policies
Chapter 8. Code owners
Chapter 8. Prose linting
Chapter 8. Supporting API design proposals in the pipeline
Chapter 8. Rendering the API definition for review
Chapter 8. Reusing API objects: Multifile API definitions
Chapter 8. Summary
Chapter 9. CI/CD for API artifacts 2: Build-stage and API configuration deployment
Chapter 9. Build stage: Simulating APIs with mocks
Chapter 9. Build stage: Generating and storing SDKs
Chapter 9. Deploy and Test stage: Deploying API Gateway configuration
Chapter 9. Summary
Chapter 10. More on API consistency: Custom linting and security checks
Chapter 10. Automated security review of your API definitions
Chapter 10. DevSecOps
Chapter 10. Summary
Chapter 11. Monitoring and analytics: Measuring API product metrics
Chapter 11. API monitoring metrics
Chapter 11. Wrapping it up
Chapter 11. Summary