apidays LIVE New York 2021 - API tool chain for low budget programs by Paul Krajewski, Dina Care

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apidays LIVE New York 2021 - API-driven Regulations for Finance, Insurance, and Healthcare July 28 & 29, 2021 API tool chain for low budget programs Paul Krajewski, Sr. Integration Engineer at Dina Care

Technology

hello
LinkedIn: https://www.linkedin.com/in/paul-krajewski-89baa950
Twitter: https://twitter.com/paulyk1983
Github: https://github.com/paulyk1983
API Toolchain for Low Budget Programs

Essential Tools for Continuous REST API Realization

Resources
● Download Stoplight Studio: https://stoplight.io/studio/
● Download Postman: https://www.postman.com/downloads/
● Syncing Postman with Github:
https://learning.postman.com/docs/integrations/available-integrations/github/
● SwaggerHub CLI: https://github.com/SmartBear/swaggerhub-cli
● Open Source tools: https://swagger.io/tools/swaggerhub/
● Example project for reference:
https://github.com/paulyk1983/apidays-demo-reference

Presented by: Tom Wilson, hyper63 Presented at the All Things Open Virtual Meetup Abstract: APIs (Application Program Interfaces) is how programs can talk with other programs and is a design consideration for many products. Let’s discuss: Why you should build an application with an API? What are the top 5 requirements of designing an API with examples? Some open-source javascript frameworks that can help you design and build your API. In order to get the most out of this talk, you should have a good understanding of http REST protocol and general application development. Familiarity with javascript and technologies like NodeJS and Express would be a plus. In this talk, you should come away with a good understanding of why you should consider building an API in your application, key good practices every API should include, and how you could implement an API using Javascript.

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Automating the API Product Lifecycle

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API integrations can be a pain. Anyone who has worked on API integrations has probably observed that, as a general rule, no API server survives first contact with the client. Reasons vary, from badly written API documentation to complete lack of API documentation. In this presentation, I want to address this problem by showing how developers can minimize the risk of API integration failures by using an approach called documentation-driven development. In documentation-driven development, we write the API specification first using a standard specification format. I'll show how we can leverage documentation to test and validate our API implementations before we release them. I'll show how we can use tools from the current ecosystem, such as Dredd, to automatically generate tests that validate our APIs.

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These are the updated slides for my presentation at EuroPython 2021. This version includes new slides and some corrections. This presentation shows how we can use documentation-driven development to minimise the risk of API integration failures. APIs are the gateways that connect our web applications to the world. Microservices rely on them to work together, and frontend applications use them to connect to our backend. Despite their importance, API integration failures are a daily occurrence. There’re many reasons for this, but a common factor is the lack of API documentation, or the use of bad API documentation. Often, API documentation comes in unstructured formats or in JSON examples, instead of standard formats such as OpenAPI or Schema Definition Language. When we don’t use standards to document our APIs, we give up the whole ecosystem of frameworks and tools built around those standards. Such tools and frameworks are designed to make our lives easier when managing the lifecycle of our APIs. In documentation-driven development, we write the API specification first, and then we implement the API server and the client against the specification. I’ll show how we can use mock servers to test the client while the backend is being developed, and tools like Dredd and schemathesis to validate the backend implementation. I’ll show how we can use these tools in a CI server to validate our code before it’s released. This approach doesn’t eliminate completely the risk of API integration failures, but it helps to minimise it.

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This is a session given by Konstantin Yakushev at Nordic APIs 2016 Platform Summit on October 25th, in Stockholm Sweden. Description: API versioning is a very heated topic in API design world. Common approaches are passing version number explicitly (with a lot of fairly useless discussion on where exactly to put that number) or only introducing backwards-compatible changes. When creating internal API for Badoo applications we found those approaches to be too limiting. Passing version number requires implementers to accommodate for all breaking changes when bumping version – even when it’s not required for business goals of that application at the time. Instead of driving value for business, application developers are in constant race to keep up with the API. Never introducing incompatible changes is also not an option. After several feature redesigns (something that may happen at Badoo once every few weeks) protocol becomes bloated and half of the fields transmitted over the wire start being useless. This talk is about our approach to versioning as part of client-server component negotiation. Client announces features and capabilities it supports and server replies with features status: whether they are enabled or disabled and whether they can be enabled by some user action (e. g. by buying some paid product). Beside those componentized features, client also sends support flags such as SUPPORT_IMAGE_SIZE_VIA_URL which affects how API works. We use those flags where in typical API a version number bump would be required. This approach allows both server and client to understand their current state and adjust their code accordingly – essentially, a tailor-made API for every client. Gathering data on feature and flag support among clients allows us to remove old code branches while continuing to evolve the API. As a result, we are not afraid to change something when that change is required. Old clients continue to work while protocol rot is kept at low level. In this talk I will give details on how exactly this versioning scheme work, how we test those changes, how and when we deprecate our old clients and note some stats and insights from using this scheme at Badoo for several years.

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