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 surroundings ***) experiment with new cloud elements, community or permission adjustments

On this submit we’ll describe how that imaginative and prescient appears and why we imagine in it, and in subsequent posts we’ll share extra about its key components.

The Imaginative and prescient

In 2021, lots of our groups had been nonetheless counting on a totally built-in pre-production (STG in additional textual content) surroundings to validate their adjustments. They anticipated dependencies to be up and working, and production-like information to be current throughout the surroundings. They anticipated the chain to be obtainable and dependable.

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

We realised that the primary key element of our future imaginative and prescient is TESTING IN ISOLATION for each useful and non-functional checks.We really imagine that by making a severe push for this shift left, groups will be capable of ship quicker and with confidence.

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

  • Creating stubs is simple
  • Stubs are dependable.

This made us realise that we are able to’t have 170+ groups begin writing their stub implementations for occasionally as many as 10 dependencies their utility depends on. It additionally grew to become clear that the duty of offering dependable and reliable stubs ought to lie with the producers. We wanted a approach to have automation take over these guide and error susceptible steps whereas ensuring the stubs are a reliable illustration of an utility.

Adopting an API-FIRST method to growth the place APIs are thought-about first-class residents quite than a expertise to combine sub-systems was an necessary step in realising this. API design-first allows groups to innovate quicker by utilizing CODE GENERATION to provide consumer/server code, mocks, and stubs. The standard of the generated code is determined by the standard of the API, which is the place API LINTING performs an necessary function. API linting will assist the creation of high-quality APIs that may then be a strong base for code era. This fashion the error susceptible guide work might be automated away permitting our engineers to concentrate on delivering worth for our clients.

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

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