DevOps Foundations: Microservices (2019)

Course details

Microservices—a technique where software is structured as a set of loosely coupled services—improve the composability and maintainability of code. They help engineering teams ship high-quality code faster. Once you are aware of their benefits, you may want to know how to operate microservices in an actual production environment. This course focuses on the tools, processes, and strategies you need to successfully adopt a microservices architecture in production. Instructor Laura Stone explains how to establish service readiness—from testing strategies to continuous integration and delivery, versioning, documentation, and more. Then explore different integration methods that will ensure the resilience of your architecture, as well as best practices for logging and monitoring and incident response. The course wraps with a look at a case study and some tips for overcoming the technical and cultural challenges in adopting microservices at an organization.

Learning objectives
Exploring the benefits of microservices
Standardizing microservices
Testing microservices
Continuous integration and delivery
Versioning of microservices
Integrating microservices into your architecture
Logging and monitoring for microservices
Handling incidents
Authentication and microservices
Reviewing a microservices case study

Concepts

0. Introduction

01 - What microservices mean for DevOps
02 - What you should know

1. Microservices In Production

03 - Why microservices
04 - The concepts behind microservices
05 - About the example application

2. Service Readiness

06 - Standardization
07 - Unit and integration testing
08 - End-to-end and contract testing
09 - Contract test example
10 - Performance testing
11 - Continuous integration
12 - Continuous delivery
13 - Platform-specific and OS artifacts
14 - Virtual machine and container artifacts
15 - Versioning
16 - Basic service discovery
17 - Dynamic service registries
18 - Documentation
19 - Ownership and Conway's law

3. Service Resilience, Reliability, and Scalability

20 - Architectural safety measures
21 - Integration methodologies
22 - Synchronous integration technologies
23 - Asynchronous integration technologies
24 - Logging
25 - Monitoring
26 - Alerting
27 - Incidents
28 - Service-level objectives (SLOs) and error budgets
29 - Capacity planning

4. Microservices by Example

30 - Overview of KinetEco case study
31 - Greenfield services
32 - Splitting the monolith
33 - User-facing authentication and authorization
34 - Service-to-service authentication antipatterns
35 - Service-to-service authentication
36 - Challenges adopting microservices

Conclusion

37 - Next steps

DevOps Foundations: Microservices (2019)

Authors

Laura Stone