Posts by: Sophia Parafina

As 2018 comes to a close, we looked back at the top five blogs that were most popular with our readers. For those of you that had difficulties with memory and CPU sizing/usage when running Java Virtual Machine (JVM) in a container, we are kicking off the week with a blog that explains how to get improved Docker container integration with Java 10 in Docker Desktop ( Mac or Windows) and Docker Enterprise environments. Many applications that run in a Java Virtual Machine (JVM), including data services such as Apache Spark and Kafka and traditional enterprise applications, are run in containers. Until recently, running…

Moving a monolithic application to a modern cloud architecture can be difficult and often result in a greenfield development effort. However, it is possible to move towards a cloud architecture using Docker Enterprise Edition (EE) with no code changes and gain portability, security and efficiency in the process. To conclude the series In part 5, I use the message service’s REST endpoint to replace one part of the application UI with a Javascript client. The original application client UI was written in Java Server Pages (JSP) so that any UI changes required the application to be recompiled and redeployed. I can use…

Moving a monolithic application to a modern cloud architecture can be difficult and often result in a greenfield development effort. However, it is possible to move towards a cloud architecture using Docker Enterprise Edition (EE)  with no code changes and gain portability, security and efficiency in the process. Part 4 takes advantage of the messaging service I added in part 3. In this installment, I’ll add self service analytics powered by the open source Elasticsearch / Kibana stack. The reporting database and analytics UI run in containers and the worker is updated to also store data in Elasticsearch. The Docker platform supports…

Many applications that run in a Java Virtual Machine (JVM), including data services such as Apache Spark and Kafka and traditional enterprise applications, are run in containers. Until recently, running the JVM in a container presented problems with memory and cpu sizing and usage that led to performance loss. This was because Java didn’t recognize that it was running in a container. With the release of Java 10, the JVM now recognizes constraints set by container control groups (cgroups). Both memory and cpu constraints can be used manage Java applications directly in containers, these include: adhering to memory limits set…

Moving a monolithic application to a modern cloud architecture can be difficult and often result in a greenfield development effort. However, it is possible to move towards a cloud architecture using Docker Enterprise Edition with no code changes and gain choice , security and operational agility in the process. Part 3 of the series begins the modernization process. I’ll take one aspect of the current application and break it out into a microservice. As written, the application writes to the database directly, but direct writes to the database can easily overwhelm the application by a large number of requests. One solution is to…

Moving a monolithic application to a modern cloud architecture can be difficult and often results in a greenfield development effort. However, it is possible to move towards a cloud architecture using Docker Enterprise Edition with no code changes and gain portability, security and efficiency in the process.   In the first post in this series, we discussed how you don’t need to do a full re-architecture of your application to microservices when using Docker Enterprise Edition. In the second installment of the series, I go into the details of containerization of the application. This process builds containers using the application code as-is. I’ll follow three simple…

Moving a monolithic application to a modern cloud architecture can be difficult and often result in a greenfield development effort. However, it is possible to move towards a cloud architecture using Docker Enterprise Edition with no code changes and gain portability, security and efficiency in the process. Containerizing a monolithic application is a great starting point for modernizing application architecture.In many cases this can be done with no code changes at all.  From there, breaking down the application into smaller components makes it easier to deploy updates, introduce new components and manage scale. This new video series covers modernization for Java…

We’ve rounded up the top five most popular Docker blogs of 2017. Coming in at number four is, Spring Boot Development With Docker, part of a multi-part tutorial series. The AtSea Shop is an example storefront application that can be deployed on different operating systems and can be customized to both your enterprise development and operational environments. In my last post, I discussed the architecture of the app. In this post, I will cover how to setup your development environment to debug the Java REST backend that runs in a container. Building the REST Application I used the Spring Boot framework to rapidly develop the…