As we saw in the first part of this series, it is essential to monitor the health of our microservices, and to improve the tool we developed which helps us get metrics and forward them to an Elasticsearch instance. In this chapter we will pursue the question of how can we improve the processing of the result of the metrics endpoint.

I found this experience really nice – to be able to get some insights on how people have solved big issues and how they got pwned. What is more, it was good to see that I am personally going in the right direction (or at least, let’s say, getting on the trends)

En octubre del año pasado ha sido liberada de manera oficial la versión 5.0.0. Desde entonces, han ido saliendo periódicamente actualizaciones y nuevas versiones del stack (la última mientras escribo este artículo es la 5.2.1, del 14 de febrero de 2017).

In the previous post, we discussed how to read data in chunks from a relational database as a Spring Batch process using Spring Boot runner. This post will explain how to import that data into Elasticsearch.

On the actual vibe of microservices using, it becomes more and more necessary to monitorize the health of our distributed systems. Here we will expose a few ways to do it, concentrating us in Spring boot applications. Hands on!