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!

Running a cluster of a distributed software such as Apache Kafka in a production environment will lead to operational concerns. One of these concerns is certainly security. Companies have varying guidelines and policies when it comes to security. This depends on various factors for example the type of application data that the system is processing or in which network infrastructure the system is running and what security concerns this zone implies on the servers that are running within.

Recently I had a customer project that required transferring large amounts of data from a relational database to the NoSQL database that is Elasticsearch in order to take advantage of its famous fast searching capabilities. Elasticsearch is part of the ELK stack that is released and maintained by Elastic.co. The abbreviation ELK stand for Elasticsearch, Logstash, and Kibana.

Angular 2 is the successor of the famous and broadly used AngularJS Javascript Framework, for building dynamic web applications. Due to the huge success and popularity of its predecessor, some client projects started using Angular 2 before its official release. This resulted in Angular 2 becoming one of the most famous platforms for web and hybrid application development. Although this framework is relatively new there are already a lot of tutorials and examples explaining how to develop an Angular 2 application. However, there is one aspect of Angular 2 that is not widely covered, but is…