Working With Object Store in Mule, Part 1

ICYDK: 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/gi5BuU #DataIntegration #ML

More Outputs Are Better for Establishing an API Observability Ranking

I’ve been evolving an observability ranking for the APIs I track for a couple years now. I’ve been using the phrase to describe my API profiling and measurement approach since I first learned about the concept from Stripe. There are many perspectives floating around the space about what observability means in the context of technology, however, mine is focused completely on APIs, and is more about communicating with external stakeholders, more than it is just about the monitoring of systems. To recap, the Wikipedia definition for observability is:

Formally, a system is said to be observable if, for any possible sequence of state and control vectors, the current state can be determined in finite time using only the outputs (this definition is slanted towards the state space representation). Less formally, this means that from the system’s outputs it is possible to determine the behavior of the entire system. If a system is not observable, this means the current values of some of its states cannot be determined through output sensors. https://goo.gl/DcdMCz #DataIntegration #ML

AI: Robots Helping Each Other (Nice Video)

Interesting video by Boston Dynamics about robots helping each other to open a door. Maybe next time it will be about robots fighting against each other. Think about two armies at war against each other, with each soldier (a robot) collaborating with his team to fight the enemy (consisting of robots as well.) You could make a movie out of it!

For more articles on AI and robots or robotic, click here.

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