Skip to main content

Why use Camel for Enterprise Application Integration?

In modern  IT business applications don't live in isolation (most part of them at least). Different applications implemented with different technologies and using several different protocols, different data formats and different interfaces need to be connected in a single integrated solution. Today every IT company has to deal with this matter. A group of patterns (EIP) exists (http://www.eaipatterns.com/toc.html) to help implementing Enterprise Application Integration (EAI) following standards. In order to reach full EAI through this patterns, 3 ways are possible:
  1. Implement your own custom solution.
  2. Use a lightweight integration framework.
  3. Use an existing Enterprise Service Bus (ESB).
I think in 2014 everyone dealing with EAI would discard the first way (do I need to explain why? I don't think so ;)
Using an ESB could add complexity to you solution: the ESBs available in the market (commercial and Open Source) provide a lot of other features that you don't really need if your goal is EAI only and often the learning curve of these products is really high.
So the best way in most part of the cases is to use an integration framework. These frameworks are lightweight, provide an implementation of all the EIPs, help to build an integration solution in a standard way without reinveting the wheel and have a very low learning curve. At present time there are three available great Open Source alternatives: Apache Camel, Spring Integration and Mule ESB. I found Apache Camel (https://camel.apache.org/) very easy to use. In particular I like the possibility to use the DSL it provides in Java and Groovy (the two languages I am mainly focused on in these last years, but they are not the only two supported by the Camel DSL) contexts. Furthermore it provides components for almost every technology available (HTTP, JMS, JMX, SMTP, JDBC, FTP, SIP, XMPP and many others) and it is easy any way to implement a custom component for a missing one. You can use Camel standalone, in a Servlet container, in a J2EE application server or in an OSGI context. But you can also start a Camel Context through a single Java class or a simple Groovy script (http://googlielmo.blogspot.ie/2014/05/execute-small-esb-with-groovy.html). Apache Camel provides also a lot of other interesting features like support for automate testing, support for transactions and concurrency, advanced transactional and not transactional error handling. Ultimately a choice that has met all my needs in terms of integration so far.

Comments

Popular posts from this blog

Turning Python Scripts into Working Web Apps Quickly with Streamlit

 I just realized that I am using Streamlit since almost one year now, posted about in Twitter or LinkedIn several times, but never wrote a blog post about it before. Communication in Data Science and Machine Learning is the key. Being able to showcase work in progress and share results with the business makes the difference. Verbal and non-verbal communication skills are important. Having some tool that could support you in this kind of conversation with a mixed audience that couldn't have a technical background or would like to hear in terms of results and business value would be of great help. I found that Streamlit fits well this scenario. Streamlit is an Open Source (Apache License 2.0) Python framework that turns data or ML scripts into shareable web apps in minutes (no kidding). Python only: no front‑end experience required. To start with Streamlit, just install it through pip (it is available in Anaconda too): pip install streamlit and you are ready to execute the working de...

Load testing MongoDB using JMeter

Apache JMeter ( http://jmeter.apache.org/ ) added support for MongoDB since its 2.10 release. In this post I am referring to the latest JMeter release (2.13). A preliminary JMeter setup is needed before starting your first test plan for MongoDB. It uses Groovy as scripting reference language, so Groovy needs to be set up for our favorite load testing tool. Follow these steps to complete the set up: Download Groovy from the official website ( http://www.groovy-lang.org/download.html ). In this post I am referring to the Groovy release 2.4.4, but using later versions is fine. Copy the groovy-all-2.4.4.jar to the $JMETER_HOME/lib folder. Restart JMeter if it was running while adding the Groovy JAR file. Now you can start creating a test plan for MongoDB load testing. From the UI select the MongoDB template ( File -> Templates... ). The new test plan has a MongoDB Source Config element. Here you have to setup the connection details for the database to be tested: The Threa...

Evaluating Pinpoint APM (Part 1)

I started a journey evaluating Open Source alternatives to commercial New Relic and AppDynamics tools to check if some is really ready to be used in a production environment. One cross-platform Application Performance Management (APM) tool that particularly caught my attention is Pinpoint . The current release supports mostly Java applications and JEE application servers and provides support also for the most popular OS and commercial relational databases. APIs are available to implement new plugins to support specific systems. Pinpoint has been modeled after Google Dapper and promises to install agents without changing a single line of code and mininal impact (about 3% increase in resource usage) on applications performance. Pinpoint is licensed under the Apache License, Version 2.0 . Architecture Pinpoint has three main components:  - The collector: it receives monitoring data from the profiled applications. It stores those information in HBase .  - The web UI: the f...