Microservice Architecture

Supported by Kong

A pattern language for microservices

The beginnings of a pattern language for microservice architectures.

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Application architecture patterns

Which architecture should you choose for an application?

• Monolithic architecture - architect an application as a single deployable unit
• Microservice architecture - architect an application as a collection of loosely coupled, services

Decomposition

How to decompose an application into services?

• Decompose by business capability - define services corresponding to business capabilities
• Decompose by subdomain - define services corresponding to DDD subdomains

Deployment patterns

How to deploy an application’s services?

• Multiple service instances per host - deploy multiple service instances on a single host
• Service instance per host - deploy each service instance in its own host
• Service instance per VM - deploy each service instance in its VM
• Service instance per Container - deploy each service instance in its container
• Serverless deployment - deploy a service using serverless deployment platform
• Service deployment platform - deploy services using a highly automated deployment platform that provides a service abstraction

Cross cutting concerns

How to handle cross cutting concerns?

• Microservice chassis - a framework that handles cross-cutting concerns and simplifies the development of services
• Externalized configuration - externalize all configuration such as database location and credentials

Communication patterns

Style

Which communication mechanisms do services use to communicate with each other and their external clients?

• Remote Procedure Invocation - use an RPI-based protocol for inter-service communication
• Messaging - use asynchronous messaging for inter-service communication
• Domain-specific protocol - use a domain-specific protocol

External API

How do external clients communicate with the services?

• API gateway - a service that provides each client with unified interface to services
• Backend for front-end - a separate API gateway for each kind of client

Service discovery

How does the client of an RPI-based service discover the network location of a service instance?

• Client-side discovery - client queries a service registry to discover the locations of service instances
• Server-side discovery - router queries a service registry to discover the locations of service instances
• Service registry - a database of service instance locations
• Self registration - service instance registers itself with the service registry
• 3rd party registration - a 3rd party registers a service instance with the service registry

Reliability

How to prevent a network or service failure from cascading to other services?

• Circuit Breaker - invoke a remote service via a proxy that fails immediately when the failure rate of the remote call exceeds a threshold

Transactional messaging

How to publish messages as part of a database transaction?

• Transactional outbox
• Transaction log tailing
• Polling publisher

Data management

How to maintain data consistency and implement queries?

• Database per Service - each service has its own private database
• Shared database - services share a database
• Saganew - use sagas, which a sequences of local transactions, to maintain data consistency across services
• API Compositionnew - implement queries by invoking the services that own the data and performing an in-memory join
• CQRS - implement queries by maintaining one or more materialized views that can be efficiently queried
• Event sourcing - persist aggregates as a sequence of events

Security

How to communicate the identity of the requestor to the services that handle the request?

• Access Token - a token that securely stores information about user that is exchanged between services

Testing

How to make testing easier?

• Consumer-driven contract test - a test suite for a service that is written by the developers of another service that consumes it
• Consumer-side contract test - a test suite for a service client (e.g. another service) that verifies that it can communicate with the service
• Service component sest - a test suite that tests a service in isolation using test doubles for any services that it invokes

Observability

How to understand the behavior of an application and troubleshoot problems?

• Log aggregation - aggregate application logs
• Application metrics - instrument a service’s code to gather statistics about operations
• Audit logging - record user activity in a database

• Distributed tracing - instrument services with code that assigns each external request an unique identifier that is passed between services. Record information (e.g. start time, end time) about the work (e.g. service requests) performed when handling the external request in a centralized service

• Exception tracking - report all exceptions to a centralized exception tracking service that aggregates and tracks exceptions and notifies developers.

• Health check API - service API (e.g. HTTP endpoint) that returns the health of the service and can be pinged, for example, by a monitoring service

• Log deployments and changesnew

UI patterns

How to implement a UI screen or page that displays data from multiple services?

• Server-side page fragment composition - build a webpage on the server by composing HTML fragments generated by multiple, business capability/subdomain-specific web applications

• Client-side UI composition - Build a UI on the client by composing UI fragments rendered by multiple, business capability/subdomain-specific UI components