Over the last couple years there have been two prominent open source PaaS Solutions come onto the market. Cloud Foundry & OpenShift. There’s been a lot of talk about these plays and the talk has slowly but steadily turned into traction. Large enterprises are picking these up and giving their developers and operations staff a real chance to make changes. Sometimes disruptive in a very good way.
However, with all the grandeur I’m going to hit on the negatives. These are the missing parts, the serious pain points beyond just some little deployment nuisance. Then a last note on why, even amidst the pain points, you still need to make real movement with PaaS tooling and technologies.
Negative: The Data Story is Lacking
Both Cloud Foundry and OpenShift have a way to plug into databases easily.
Cloud Foundry provides ways to build a Cloud Foundry Service that becomes the bound and hooked in SQL Server, MySQL, Postgresql, Redis or whatever data storage service you need. For more details on building a service, check out the echo example on the vcap sample github project.
OpenShift has what are called Cartridges which provide the ability to add databases and other services into the system. For more information about the cartridges check out Red Hat’s OpenShift Documentation and also the forums.
Cloud Foundry and OpenShift however have distinctive weak spots when it comes to services that go beyond a mere single instance database. In the case of a true distributed database such as Cassandra, HBase or Riak, it is inordinately difficult to integrate a system that any PaaS inter-operates with well. In some cases it’s irrelevant to even try.
The key problem being that both of the PaaS systems assume the mantle of master while subjugating the distributed database a lower tier of coordination. The way to resolve this at the moment is to do an autonomous installation of Riak, Cassandra, Neo4j or other database that may be distributed, stored hot swappable, or otherwise spread across multiple machine or instance points. Then create a bound connection between it and the PaaS Application that is hosted. This is the big negative in PaaS systems and tooling right now, the data story just doesn’t expand well to the latest in data and database technologies. I’ll elaborate more about this below.
Negative: Deployment is Sometimes Easy, Maintenance is Sometimes Hard
Cloud Foundry is extremely rough to deploy, unless you use Bosh to deploy to either VMware Virtualized instances or AWS. Now, you could if resources were available get Bosh to deploy your Cloud Foundry environment anywhere you wanted. However, that’s not easy to do. Bosh is still a bit of a black box. I myself along with others in the community are working to document Bosh, but it is slow going.
OpenShift is dramatically easier to deploy, but is missing a few key pieces once deployed that draw some additional operational overhead. One of those is that OpenShift requires more networking management to handle routing between various parts of the PaaS Ecosystem.
Overall, this boils down to what you need between the two PaaS tool chains. If you want Cloud Foundry’s automatic routing and management between nodes. This is a viable route, but if your team wants to manage the networking tier more autonomous from the PaaS environment then maybe OpenShift is the way to go. In the end, it’s negative bumpy territory to determine which you may or may not want based on that.
(Cross-posted @ Composite Code)