Gartner Research

Working With Data in a Microservices Architecture

Published: 22 January 2019

ID: G00370409

Analyst(s): Kevin Matheny, Lyn Robison

Summary

Microservices architecture (MSA) is characterized by tightly scoped, loosely coupled services that control all access to their data. Technical professionals responsible for developing microservices applications must understand how MSA affects the way their applications access and share data.

Table Of Contents

Analysis

  • Data Design Considerations
    • True Microservices Architecture Requires Decoupled Data Stores
  • Operational Data Read Access Across Service Boundaries
    • Requesting Data at Time of Need
    • Maintaining a Read-Only Duplicate of Data
  • Transactions Across Service Boundaries
    • Use Transaction Boundaries to Help Define Service Boundaries, and Vice Versa
  • Logging, Reporting and Analytics Across Service Boundaries
    • Subscribe to Data Events
    • Use Existing Operational Interfaces
    • Provide Dedicated Reporting Interfaces
    • Create Reporting Interfaces Within Operational Services’ Data Stores Only as a Last Resort
    • Do Not Allow Direct Access to Operational Services’ Data Stores
  • Data Patterns and Anti-Patterns
    • Pattern: CQRS
    • Pattern: Sagas and Compensating Transactions
    • Pattern: Event Sourcing
    • Anti-Pattern: Shared Database
    • Anti-Pattern: Two-Phase Commit

Conclusion

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