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Bol’s journey in shifting left* and shifting proper**: our Imaginative and prescient | Weblog | bol.com


*) in full isolation, counting on stubs and stub containers **) totally built-in pre-production setting ***) experiment with new cloud elements, community or permission adjustments

On this publish we’ll describe how that imaginative and prescient appears to be like and why we consider in it, and in subsequent posts we’ll share extra about its key components.

The Imaginative and prescient

In 2021, a lot of our groups had been nonetheless counting on a completely built-in pre-production (STG in additional textual content) setting to validate their adjustments. They anticipated dependencies to be up and operating, and production-like knowledge to be current throughout the setting. They anticipated the chain to be out there and dependable.

Nonetheless, technological adjustments, knowledge, privateness and entry constraints imposed by at all times increasing rules meant that guaranteeing a steady STG setting with constant knowledge throughout purposes was now not an inexpensive expectation. It was time to vary. Time to evolve.

We realised that the primary key element of our future imaginative and prescient is TESTING IN ISOLATION for each purposeful and non-functional assessments.We actually consider that by making a severe push for this shift left, groups will be capable to ship sooner and with confidence.

Nonetheless, this doesn’t come with out prices. Conditions for profitable testing in isolation are:

  • Creating stubs is straightforward
  • Stubs are dependable.

This made us realise that we will’t have 170+ groups begin writing their stub implementations for sometimes as many as 10 dependencies their software depends on. It additionally turned clear that the duty of offering dependable and reliable stubs ought to lie with the producers. We wanted a method to have automation take over these handbook and error inclined steps whereas ensuring the stubs are a reliable illustration of an software.

Adopting an API-FIRST method to growth the place APIs are thought-about first-class residents somewhat than a know-how to combine sub-systems was an essential step in realising this. API design-first permits groups to innovate sooner by utilizing CODE GENERATION to provide consumer/server code, mocks, and stubs. The standard of the generated code relies on the standard of the API, which is the place API LINTING performs an essential function. API linting will assist the creation of high-quality APIs that may then be a strong base for code technology. This fashion the error inclined handbook work might be automated away permitting our engineers to deal with delivering worth for our clients.

These three elements symbolize the steps we’re taking to shift left.

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