Starting a Project: Data Generator

Sometimes, there is a need to generate data to test your code. While "testing in production" is a sweet spot to be, there are times when you need to "force" (stub) data that reflects certain business phenomena in production. This does not mean "chaos engineering" but rather a finite set that can be ingested into a suite of integration tests to increase confidence in code change.

Distributed Spring Integration

Recently, I was given an opportunity to code a use case that required the need to use EIP in a distributed environment. While trying to use the "Splitter" and "Aggregator" patterns, I had a chance to review the source code implementation of many of the components used to implement these using Spring Integration.

JSON on BASH: JQ

In one of my previous posts, I wrote about underscore-cli for looking at JSON output (e.g. to see the curl response from a REST web service). An alternative to this is jq, a command line processor for JSON in bash.

Some things about jq that make it powerful is that it can be used as a filter (that what jq really is). This means that you can select which parts of the JSON buffer be returned from the stream so that you can you do your own navigation.

For more information, check out https://stedolan.github.io/jq/tutorial/