Java

Lock-in, the Overrated Barrier to Cloud Adoption

Reading Time: 4 minutes By definition, lock-in makes a customer dependent on a vendor for products and services, unable to use another vendor without substantial switching costs. That sounds scary. Now let us take a step back and look at all the standards which were available in the traditional world to prevent lock-in. JEE specs sure have a lot of them and that ensures that you would be able Continue Reading

Generating Excel Files On Google App Engine For A Wicket Application

Reading Time: 3 minutes We are porting an existing Wicket application on Google App Engine. This application uses Wicket, Spring and Hibernate. If you read will it play in app engine, you will notice that Wicket is semi compatible and it does work with workarounds. Hibernate on the other hand is incompatible and Spring is fully supported. We began porting this application after changing persistence to use JPA instead Continue Reading

Problems When Deploying Working Application on Google App Engine

Reading Time: 3 minutes Google Dev and production environment has differences. You may run into problems if you expect that application will also run fine on app engine if there are no errors on app engine development server. We are in process of porting an existing application on Google App engine. The application we are building uses Wicket, Spring and JPA. If you read the will it play in Continue Reading

Performance Tuning Java Applications on Google App Engine

Reading Time: 5 minutes Performance Tuning is one of the stages of taking your application to production which you can seldom avoid. Irrespective of the fact whether you have taken all good performance practices into account, there is something or the other which needs to be tuned before the application is production ready. Performance Tuning takes a different turn when your application is supposed to run on the cloud. Continue Reading

Deploying BIRT in Your Existing Web Application

Reading Time: 5 minutes The Business Intelligence and Reporting Tools (BIRT) project is an open source, Eclipse-based reporting framework that enables the creation and deployment of enterprise reports. Development with BIRT can usually be thought of as a two-step process: The creation of the report designs within the Eclipse BIRT Report Designer Deployment of the designs and framework to an application for dissemination. BIRT also offers three public APIs Continue Reading

Making Your Existing Applications Multi-tenant in the Cloud

Reading Time: 3 minutes Last week, while presenting at the IndicThreads Cloud Conference, we got into a very interesting discussion. How to make the existing application that we have multi-tenant without changing a hell lot of code or may be without changing even minimal code. Before we get to that question, let us do a quick recap of multi-tenancy. Multi-tenancy is the ability to run multiple customers on a single Continue Reading

Generating Charts In Wicket Application On Google App Engine

Reading Time: 3 minutes We are in process of porting an existing Wicket application on Google App engine. This application’s charting engine used Java color classes along with Swing components to generate dynamic images. These images are then used by Wicket to display on the front-end . Unfortunately Google app engine does not support these classes. We therefore had to find an alternative to generate Charts for our application. Continue Reading

Managing Multiple Parent Persistence Problem in App Engine

Reading Time: 3 minutes We are in process of porting an entire application on google app engine. This application has persistence using JPA and as usual contains mapping between entities using annotations. The mapping like @OnetoMany and @ManytoOne in Jpa may throw lot of errors in google app engine and therefore is neither straightforward nor trivial. In this blog we will see where our mapping may fail, with specific Continue Reading

Premon Architecture

Reading Time: 5 minutes In our last post I introduced you to the basic characteristics of Premon, the Intelligent Monitoring solution. In this post let us try to look at what is the architecture of Premon which makes it possible for Premon to support the characteristics that we talked about. Let us look at the architecture and dissect the pieces one by one. If you would notice, there is Continue Reading

Why Unowned Relationships Make More Sense With App Engine Datastore

Reading Time: 4 minutes A month back we started migrating an enterprise time keeping and invoicing system to GAE. Initially, the application was deployed at the enterprise on tomcat. The opportunity was to port the application to GAE and utilize the public cloud space. The choice about GAE was based on the expected ease of migration and then not having to worry about any infrastructure maintenance. As you would Continue Reading

Intelligent Monitoring With Premon

Reading Time: 2 minutes In our last post, we discussed how intelligence can be built into the monitoring systems. This helps in decreasing the burden of system monitoring and allows administrators and stakeholders to focus on relevant information. In this post we would introduce Premon and look at some of the features that it provides to make monitoring easy and efficient. Premon complements, it does not compete: Premon does Continue Reading

Building Intelligence Into Monitoring

Reading Time: 3 minutes In our last post, we discussed the pitfalls of the traditional monitoring solutions. We also touched upon a possible solution to take care of the issues. Let us try to analyse that solution in some more detail now. Intelligent Monitoring (IM) should be able to decrease the burden of system monitoring in multiple ways. An IM system should be able to listen to multiple data Continue Reading

Unit Testing Maven Based JPA Application on GAE

Reading Time: 3 minutes Recently, we started porting a complex enterprise timesheet and invoicing application to Google App Engine. We would talk about the strategy that we are following as a part of separate post but in this post let us look at how we can unit test JPA code effectively in our local environment. By the way, the application that we are porting does not use JPA but Continue Reading

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