Day: February 9, 2018

An API lifecycle, just like any other product lifecycle, starts with the design phase. During this stage, the API is devised based on the needs of actual or potential API consumers, while taking other factors, such as business decisions about product scope or company-wide API design guidelines, into account. The team involved in the design phase then formalizes the results of their work into an OpenAPI definition file.

This is done by using more or less technical design tools (two of which we’ve previously covered on our blog, Swagger Editor and Apicurio Studio). The definition file subsequently becomes the input for the next step of the API lifecycle. This so-called schema-first or definition-driven approach is the ideal “textbook solution” that successful companies, from Adidas to Zalando, have implemented and put down as part of their API design guidelines, and that API evangelists and consultants would ask you to implement. https://goo.gl/yhDoyQ #DataIntegration #ML

ICYMI: Mule Object Store

An Object Store Connector is one of the most useful connectors provided in the Mule runtime. It is used for storing the state of the application and can be shared across applications. Mule uses object stores whenever it needs data to persist for later retrieval. It is a convenient way to store objects for later retrieval by key, essentially a key-value, store. By default, this is in-memory, but it can also be easily changed to persist to file.

Why Object Stores?

We often get the requirement where we need some application data to be used and shared across multiple applications. Though we can easily use a database for this purpose, where we have to query our DB to get this data, the disadvantage of this approach is whenever we need data we need to query our database. We can also use Object Store in Mule to make this a little easier. https://goo.gl/i9FubZ #DataIntegration #ML