I recently spent a fruitless afternoon on the public PaaS version of Cloud Foundry. In this post, I document an equally fruitless afternoon spent on Red Hat’s OpenShift. It think it is fair to say that OpenShift has some advantages over Cloud Foundry for public PaaS. OpenShift feels more comfortable, its integration of a build server introduces a lot of flexibility into its deployment, it makes it easier to know what is going on, and it seems to have more documentation and more discussion on the forums. However, once you veer away from the standard use case, it doesn’t work terribly well. Ultimately, I failed to get it to do what I wanted, but maybe it was just too hard.
Articles Tagged with Open Source
I plan to spend an afternoon getting an ISV application to run on the public PaaS version of OpenShift—to allow direct comparison with a fruitless afternoon spent on the public PaaS version of Cloud Foundry. In this post, I explain the radical difference in approaches I am taking in the two environments to deal with real-world issues in the application lifecycle.
Red Hat has released a 2.0 version of OpenShift, its on-premises (private) PaaS. OpenShift seems to build on real customer experience to address a range of issues that come up in real deployments, providing an out-of-the-box solution that is likely to appeal to enterprises seeking to offer a consistent development/deployment option to reduce complexity and cost.
Pivotal’s public cloud version of Cloud Foundry really struggles with the loose integration of third-party services. To appeal to ISVs and others with real-world complexity in their applications, Pivotal needs to identify a coherent product and concentrate on delivering something that works. I tried assiduously to use it and ultimately failed. In case you think I’m being a bit harsh on Pivotal, this system has been in beta for more than two years. By now, it should work.
We recently had a conversation with DataStax regarding their DataStax Enterprise product, which got us to thinking a little about the nature of Big Data and Cloud. DataStax is the company behind the Open Source Cassandra NoSQL database. It provides technical direction and the majority of committers to the Apache Cassandra project. Cassandra in turn is a Column Family-based database along the lines of Google’s BigTable. If you are a SQL programmer it’s determining feature is… it doesn’t do joins.
In a sign of the changing times, Garantia Data (an in-memory noSQL database service specialist) has launched a service to provide the Redis and Memcached No-SQL databases as a service to users of Microsoft Windows Azure.