DevOps Foundations: Microservices (2019)

DevOps Foundations: Microservices (2019)

2h 12mAdvanced2019-02-27

Authors

Laura Stone

Laura Stone

Software Engineer

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

Skills covered

KubernetesSoftware ArchitectureDevOps FoundationsDevOpsFoundationsOpen SourceSoftware Development

Concepts

Introduction

  • What microservices mean for DevOps
  • What you should know

Microservices In Production

  • Why microservices
  • The concepts behind microservices
  • About the example application

Service Readiness

  • Standardization
  • Unit and integration testing
  • End-to-end and contract testing
  • Contract test example
  • Performance testing
  • Continuous integration
  • Continuous delivery
  • Platform-specific and OS artifacts
  • Virtual machine and container artifacts
  • Versioning
  • Basic service discovery
  • Dynamic service registries
  • Documentation
  • Ownership and Conway's law

Service Resilience, Reliability, and Scalability

  • Architectural safety measures
  • Integration methodologies
  • Synchronous integration technologies
  • Asynchronous integration technologies
  • Logging
  • Monitoring
  • Alerting
  • Incidents
  • Service-level objectives (SLOs) and error budgets
  • Capacity planning

Microservices by Example

  • Overview of KinetEco case study
  • Greenfield services
  • Splitting the monolith
  • User-facing authentication and authorization
  • Service-to-service authentication antipatterns
  • Service-to-service authentication
  • Challenges adopting microservices

Conclusion

  • Next steps
80,000 Toman