In this post, we will explore the Jira Rest API. We will explain how you can use the Jira API in order to generate a user based time report. Besides that, it is a good excuse to do some Python coding.
Skaffold is a command line tool developed by Google which aims to facilitate continuous development for Kubernetes applications. It will automate the task of building and deploying to a Kubernetes cluster whereas you, as a developer, can stay focused on writing code. Seems interesting enough to take a closer look at it!
In this post we are going to take a look at Jib, a tool from Google in order to create Docker images in an easy and fast way. No need to create a Docker file, no need to install a Docker daemon, Jib just runs out-of-the-box.
Some blog posts ago, we experimented with Kafka Messaging and Kafka Streams. Although we used Spring Boot applications in order to demonstrate some examples, we deliberately did not make use of Spring Kafka. Reason for doing so, was to get acquainted with Apache Kafka first without any abstraction layers in between. Now that we have done so, it is of course time to take a look at Spring Kafka!
We will take a look at how we can get more acquainted with the OWASP top 10 vulnerabilities. After a short introduction about OWASP, we will show you how you can make use of WebGoat and WebWolf to get a better understanding of the OWASP top 10 vulnerabilities.
In this post, we will take a look at joins in Kafka Streams. Main goal is to get a better understanding of joins by means of some examples. The examples are taken from the Kafka Streams documentation but we will write some Java Spring Boot applications in order to verify practically what is written in the documentation.
In this post, we will take a look at Kafka Streams. We will give a short introduction, but the main part of the blog will be about writing some simple Java applications. This way, we are going to get more familiar with Kafka Streams from a practical point of view.
In this post, we will take a closer look at Apache Kafka Messaging. We will show how you can easily start a Kafka cluster and how messages can be sent and received by means of CLI and from a Java application. At the end, we will explore how partitions work from a practical point of view.
In this post, we will take a look at how we can make services be aware of each other without knowing their exact location. We will make use of Eureka Server which will act as a Discovery Server. Being Spring fans, we will do so by means of Spring Eureka.
In this post, we will take a look at how we can use Google Cloud Vision from a Spring Boot application. With Google Cloud Vision it is possible to derive all kinds of things from images, like labels, face and text recognition, etc. As a bonus, some examples with Python are provided too.