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As for the actual process of building the contract, what works well for me is using API Blueprint-style Markdown in a compatible tool like Apiary, which renders your content into Swagger-like documentation as you type. This way, I and others can mutually "live-scribe" the API contract as we discuss, and seeing it on-screen helps to get people on the same page (and sometimes highlight potential issues that would... Source: 12 months ago
I’m not sure a JS library qualifies as a PL. Or automation software (SoftStack). Or an API description language. Or a build system. Source: over 1 year ago
Create a Proper API Documentation The following open-source projects can help you with creating documentation for your APIs: APIBluePrint Swagger. - Source: dev.to / over 1 year ago
A common complaint about OpenAPI is that it’s difficult to learn and to read. Consequently, over the years we’ve seen many alternatives to OpenAPI, such as RAML, WADL, API Blueprint, and others. The problem with many of these alternatives is that in most cases they aren’t really more readable or easier to learn. Simpler description languages also tend to support less capabilities for documenting API features.... - Source: dev.to / almost 2 years ago
For the context of this post, only the first task is essential. In it, the team works together to define the API contract. They discuss data format, whether the API will be Rest or RPC, authentication, data compression, and other vital issues. The delivery of this task is the documentation, preferably in a standard like OpenAPI or API Blueprint (my preferred format). - Source: dev.to / almost 2 years ago
I imagine that would work. I'd probably default to a redis https://cloud.google.com/memorystore because it feels more boring to me. Source: 6 months ago
I suggest you to use realtime database. It is cheaper than Memorystore (if you use in Google Cloud) and realtime database has a free tier. Source: 11 months ago
Memorystore is Google-hosted Redis/Memcached. You could set up a virtual machine and install Redis/Memcached yourself, but Memorystore eliminates that extra work and provides you with a well-working cache out of the box. Source: about 1 year ago
Memorystore is the managed cache service on GCP. https://cloud.google.com/memorystore. Source: over 1 year ago
Memorystore, the GCP managed service for cache, is not a service by itself, you need to choice the backend behind with Redis or memcached. These two kinds of configurations for Memorystore do not have the same model pricing. Memorystore for memcached is mostly based on Compute Engine model with pricing based on the number of nodes and vCPU + RAM per node. Even if the model pricing is nearly the same, the... - Source: dev.to / almost 2 years ago
Postman - The Collaboration Platform for API Development
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