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Application Pattern: Consumer Driven Contracts

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Consumer Driven Contracts enable independent releases of interdependent applications

When applying Continuous Delivery to an application estate, our ability to rapidly release individual applications is constrained by inter-application dependencies. We want to release applications independently in order to minimise batch size and cycle time, but the traditional risk reduction methods associated with inter-application dependencies compromise lead times and are fundamentally incompatible with Continuous Delivery. How can we enable the independent evolution of interdependent applications with minimal risk?

For example, consider an estate initially comprised of two independently versioned applications – a Provider application that offers name/address/phone details, and a Consumer A application that uses name/address details.

Provider with Consumer and Provider Contract

In this scenario, the interdependent relationship between Provider and Consumer A means an independent release of either application will increase the probability of a runtime communications failure between the applications. As Consumer A has little knowledge of the Provider a new Consumer A binary might unintentionally alter its usage of the Provider API, and conversely as the Provider has zero knowledge of Consumer A a new Provider binary might break API compatibility for an unchanged version of Consumer A.

The fear of change and uncertainty associated with this inter-application dependency is exacerbated when another consumer with different requirements is added to the application estate, such as a Consumer B application requesting name/address/email details from the Provider.

Provider with Consumers and Provider Contract

The introduction of Consumer B adds another inter-application dependency to our estate and increases the complexity of our independent release strategy. We must be able to release a new Provider binary capable of servicing Consumer B without endangering the integrity of existing API conversations with Consumer A, but this is difficult when the Provider is unaware of Consumer A and Consumer B requirements. To solve this problem a number of risk reduction methods may be proposed, each of which comes at a significant cost:

  • Coupled releases. Releasing new versions of the Provider, Consumer A, and Consumer B simultaneously is a direct impediment to Continuous Delivery, with increased holding costs and transactions costs resulting in artificially inflated batch sizes and lengthy lead times
  • End-to-end testing. An end-to-end test suite covering all possible API interactions would be costly to maintain and a drain upon lead times, hence Jez Humble arguing it “delays feedback on the effect of the change on the system as a whole” and JB Rainsberger stating “integrated tests are a scam
  • Multiple Producer API operations. This shares the cost of change between the Provider and Consumer B without impacting Consumer A, but there is an increase in Provider application complexity and there is no incentive for Consumer A to migrate to the same service as Consumer B

Given that all of the above methods will increase the cost of change and cause the evolutionary design of our application estate to stagnate, we need a more adaptive solution that will favour Build Quality In over Risk Management Theatre. We can reduce the consumer-side risk of each inter-application dependency by implementing the Tolerant Reader and API Examples patterns within Consumer A and Consumer B, but this solution is incomplete as it cannot address the provider-side risk – a new Provider binary could still harm unchanged versions of Consumer A and/or Consumer B running in production.

Consumer Driven Contracts is a pattern originally described by Ian Robinson for Service-Oriented Architectures that has since proven applicable to any scenario in which evolving consumer-provider relationships need to be documented and continually verified. Characterised by Ian as an attempt “to create a vocabulary for describing the roles of the participants in a loosely coupled relationship“, the Consumer Driven Contracts pattern defines three related contract types:

  1. A Provider Contract is a description of a service offered by a provider
  2. A Consumer Contract is a description of the extent to which a consumer utilises a Provider Contract
  3. A Consumer Driven Contract is a description of how a provider satisfies an aggregate of Consumer Contracts

With Consumer Driven Contracts, the subset of information within the Provider Contract that a consumer is actually dependent upon forms a Consumer Contract that is communicated back to the Provider at build time. It is then the responsibility of the Provider to run a suite of unit tests in its commit build against each of its Consumer Contracts to ensure that no provider change could unexpectedly cause a communications failure at run time.

Consumer Driven Contracts

Consumer Driven Contracts are relatively cheap to implement, yet enormously powerful. As the Consumer Contracts supplied to the provider are executable specifications they provide an automated documentation mechanism that increases the visibility of existing inter-application relationships, and enable a testing strategy that favours the fast feedback of unit tests over the complexity and unreliability of end-to-end tests. Given that Consumer Driven Contracts enable us to visualise inter-application relationships and detect potentially harmful changes within seconds, Ian was not exaggerating when he stated that Consumer Driven Contracts “give us the fine-grained insight and rapid feedback we require to plan changes and assess their impact“.

If we apply the Consumer Driven Contracts vocabulary to our earlier example, it is apparent that our Provider application is offering a name/address/phone/email Provider Contract, with Consumer A encapsulating a private name/address Consumer Contract and Consumer B encapsulating a private name/address/email Consumer Contract.

Provider and Consumers with Consumer Contracts

These Consumer Contracts should be elevated to first class concepts and persisted within the Provider application as a Consumer Driven Contract, so that the Provider is made aware of consumer expectations and can be independently released without fear of harming any inter-application dependencies.

Provider and Consumers with Consumer Driven Contracts

Regardless of original intent, the Consumer Driven Contracts pattern is of immense value to Continuous Delivery and is an essential tool when we wish to independently release interdependent applications.



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Published at DZone with permission of Steve Smith, DZone MVB. See the original article here.

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