Reading Time: 4 minutes In our last post, we compared the leading cloud vendors on technology. In this post, we would like to look at the business benefits of moving to either GAE or Amazon EC2. If you believe the recent hype in the cloud space, including the Gartner reports then you would see that the cloud is here to stay. What would make sense is to keep a Continue Reading
Reading Time: 4 minutes Our application works with Google Spreadsheet API to update spreadsheets. The application now needed to send mail with an attachment of a google spreadsheet. We posted our query on google docs community here and on Google app engine here and there were no clear directions of implementing it. Let’s see how we went about implementing this feature. Google provides its spreadsheet API and it allows Continue Reading
Reading Time: 3 minutes For the past few weeks, we have been getting requests on our website about the way we generated seed data for our multi-tenant application. I thought it would be best to talk about the method that we used as a part of a separate post. If you have been following our blog, you would notice that TE-CON launched the public beta of bookmyhours.com. This is Continue Reading
Reading Time: 6 minutes Recently, at a prospective client, we were asked to make a comparison between Amazon EC2 and Google App Engine. Having recently done fairly large-scale projects on both of them, we think that we could make a fairly valid summarization of our thoughts. With this post, I would like to put our thoughts out for consumption and debate. The three parameters on which I would like Continue Reading
Reading Time: 3 minutes Recently there has been a lot of interest in the cloud. There have been some major developments that have ignited the interest of many enterprises. It would not be late before enterprises start looking around and find that their competitors have already taken the first step towards the cloud. Before you get to that situation and start panicking, here is a list of best practices Continue Reading
Reading Time: 7 minutes There are several problems of using Wicket on Google App Engine. We are porting a Wicket application on Google App Engine and faced several issues. This post will look at the problems we may encounter while working on a Wicket project on Google App engine and how may we overcome them. Google App engine will it play suggests that if you have a wicket project Continue Reading
Reading Time: 2 minutes bookMyHours.com is a simple and clean enterprise timesheet application offered as SaaS on a subscription basis. The service is ‘rightweight‘ and consists of the most frequently used features so that the organizations do not have to pay for features that they would never use. It is a multi-tenant application which allows and organization to define their custom look and feel. bookMyHours is based on eHour, Continue Reading
Reading Time: 2 minutes One of the major problem working on Google App engine is managing cold start. Well what is it? Google App engine spins down the application when it is idle. On Google App engine, application does not get a permanent instance of java virtual machine. If there are no activities for a while then the JVM goes cold and application will have to start again to Continue Reading
Reading Time: 3 minutes While uncovering ways to speed up our application on the Google App Engine, we decided to use Memcache. This led us to an interesting discussion which I am reproducing here to get your inputs. As you would observe, if you are following our blog, that there are 2 potential ways to cache, invasive and non-invasive. May be there is a third way which you would Continue Reading
Reading Time: 3 minutes In the last post on understanding caching we talked about the general support of GAE for caching and how we could easily incorporate caching in our application. You would also recollect that we talked about the invasive form of caching in which the business layer was aware about the caching framework. In this post let us talk about the non-invasive way to cache. Since caching Continue Reading
Reading Time: 2 minutes We are porting a JPA application to Google App Engine. One of the challenges we faced during this exercise was performance. There are simple and effective ways by which we can increase the performance of our application. Datastore batch get is one such optimization we used during porting the application. If you are used to low level datastore api you must have used batch get. Continue Reading
Reading Time: 3 minutes If you have been following the Google App Engine downtime notify group then you would realize that the datastore has been behaving erratically over the last 2 weeks. Though we had been thinking about exploiting Memcache for caching for a while now, but the last 2 weeks proved to be the perfect alibi. Another reason was the comment that we got on our blog by Continue Reading
Reading Time: 2 minutes We were in process of porting an application to GAE. The application used JPA for persistence and we decided to use the same for GAE as well. After deploying, the application worked fine on Google App Engine. Over a period of time we started getting errors, which seemed strange. All our tests were running fine and application worked without any issues with our seed data. Continue Reading
