Microservices Design Patterns : Aggregator Pattern

When breaking the business functionality into several smaller logical pieces of code, it becomes necessary to think about how to collaborate data returned by each service. The aggregator pattern helps to address this problem. In this article we will further understand about the aggregator pattern.

Microservices Design Patterns - API Gateway

When an application is broken into smaller microservices, it brings in few challenges that needs to be addressed. These include abstracting producer information, handling multiple protocols, data transformation or format conversion for different consumers and so on. To handle these challenges we can use an API gateway design pattern. In this article we'll understand further about this pattern.

Microservices Design Patterns - Strangler Pattern

Microservices are getting more and more popular these days. Many companies are migrating their monolith applications to microservices. However this is easier said than done. Decomposing a monolith with microservices comes with a lot of challenges. In this article we will learn about the Strangler Pattern that can be used to decompose or refactor a monolith into microservices.

Leetcode : Two Sum

Overview:

Two Sum is a programming problem where you are given an array and a target value and you have to find the indices of the elements in the array that add up to the target value. This is an “easy” level problem in LeetCode. In this article, we will attempt to solve this problem

Spring + Quartz : Scheduler Job with failure recovery

Most IT applications need scheduled processing e.g. maintenance, data flow, clean up etc. which are not initiated by user action. To handle this we can schedule jobs for a particular interval. But what if the job fails or server is down? We do not want to miss the data processing for the interval when job was down or failing. This article explains how to handle such scenario using a Spring and Quartz scheduler.

MapStruct: Transferring data from one bean to another

Converting data from one form to another is a highly utilized concept in IT industry. MapStruct allows annotation based bean conversion by generating mapper implementation at compile time. This makes sure there is no performance overhead at run-time.

Jersey : Handle invalid json requests by overriding exception handling

In enterprise applications we usually encounter situations where we get invalid request for our RESTful webservice. The processing fails but client doesn't know the exact cause of problem. In the below article I explain how can we handle invalid request by overriding the exception handling of a Jersey based RESTful webservice.

Parse json into multiple java pojos using Jackson annotations

Jackson is a suite of data-processing tools for Java (and JVM platform), including the flagship streaming JSON parser / generator library, matching data-binding library (POJOs to and from JSON). In real world programming we will encounter complex cases of JSON to POJO conversion. Here, is one such case where we want to parse a single JSON into multiple java POJOs.

Generating java files from XSD using Maven and JAXB

Java Architecture for XML Binding (JAXB) provides a fast and convenient way to bind XML schemas and Java representations, making it easy for Java developers to incorporate XML data and processing functions in Java applications. As part of this process, JAXB provides methods for unmarshalling (reading) XML instance documents into Java content trees, and then marshalling (writing) Java content trees back into XML instance documents. JAXB also provides a way to generate XML schema from Java objects and vice-versa.
Here we are going to talk about generating java objects from your XSD (XML Schema Definition).

Note : If you are using only Ant for your build, the flow is explained here.

Configure testing of your web application using Jenkins

Purpose : To demonstrate the automation of testing of a web application after each build.
Assumptions : 1. The application build is already configured on Jenkins. 
                         2. We have a service method that runs all test cases.

I have a web application which is scheduled to build via Jenkins. Now I need to test the application after each build. The following steps can be used to configure test cases :