Docker with Liferay DXP

What is docker?

Docker containers wrap a piece of software in a complete filesystem that contains everything needed to run: code, runtime, system tools, system libraries – anything that can be installed on a server. This guarantees that the software will always run the same, regardless of its environment.

There are so many advantages using Docker, one for example is that the new members in a development team can easily build a local environment without spend a lot of time. With this in mind, this article shows how to build a MySQL and Liferay DXP development environment with Docker.

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Components and usage of Spring Data Elasticsearch (Part 2)

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.

Spring Boot provides out of the box support for Elasticsearch that saves a lot of configuration time so we are going to take full advantage of that. However, in real world application, you will need to use the Elasticsearch Java Client that requires additional instantiating and configuring. When no configuration is provided, the Spring Boot integration for Elasticsearch will automatically create an embedded Elasticsearch instance which is very useful for testing….

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Performance considerations when using Apache Kafka with SSL/TLS

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.

A probable scenario is that such a cluster is run in an environment which dictates restrictiveness in regards to access control and protocol security. Access control means that identified clients communicate with the cluster only. When looking at protocol security the company or project might have a guideline that clients must use a secure protocol like SSL/TLS. Furthermore, communication among the cluster servers itself might also have to be secured.

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Import Relational Database Data to Elasticsearch with Spring Batch (Part 1)

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 The abbreviation ELK stand for Elasticsearch, Logstash, and Kibana.

The easiest way to transfer data from a traditional relational database into Elasticsearch is by using the “L” in the “ELK” stack: Logstash. Unfortunately, Logstash has some limitations, and one of those limitations is directly related to reading records from a relational database because, although database entry and Elasticsearch entry may seem very similar, it’s not possible to match single database entry to a single Elasticsearch document. This difference originates from the fact that Elasticsearch doesn’t use the notion of “relations” between its “records”, but instead it uses flat documents structure to store its data and flat documents have no relations between each other. In addition, the customer database have several millions entries which made the situation even more complicated. So, instead of using Logstash, a decision was made to write our own importer that was going to use batch processing and bulk writing into Elasticsearch.

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Introducing Spring State Machine

Usually, the first problem that must be solved in the implementation of a software project is to design a well-formed application architecture. Alongside this, core processes must be recognized together with application states as well as the depth of their interactions. There are many ways and methods to achieve this. In case a project meets one of these criteria, it is probably a good candidate for managing the states with a state machine:

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