CloudFoundry has just launched a Version 2 of CloudFoundry.com. Red Hat has just launched a new version of OpenShift with private PaaS support, and we are re-visiting both offerings with a view to understanding how to adopt them, using an application we are developing for various other purposes.
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By now, enterprises understand the value of Software as a Service (SaaS) and Infrastructure as a Service (IaaS), but there still is much confusion about Platform as a Service (PaaS). This confusion is one reason why enterprises have been slow to adopt PaaS. Why is there so much confusion? Because PaaS is still in its early days of maturity, but it is growing up really quickly right before our eyes.
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I just returned from attending the Cloud Expo in New York City this week. The conference was dominated by private and hybrid cloud topics. There were several private Platform as a Service (PaaS) vendors attending whom I spent a great deal of time talking to as I walked the floor. It seems these days that many enterprises default to private and hybrid clouds and therefore insist on private PaaS as well. It is critical that consumers of PaaS services understand the pros and cons of both public and private PaaS before making a commitment to a PaaS deployment model.
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Over the last few years there has been an increase in the number of database as a service (DBaaS) offerings that have entered the market place. IaaS providers like Amazon have released solutions such as RDS that automates database administration tasks in the area of scaling, replication, failover, backups, and more. There are a number of companies offering automation around NoSQL databases like Hadoop, MongoDB, Redis, Memcache, and numerous other database technologies.
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At EMCworld 2013, one of the big stories was Pivotal and it’s importance to the EMC2 family and the future of computing. Pivotal is geared to provide the next generation of computing. According to EMC2 have gone past the Client-Server style to a scale-out, scale-up, big data, fast data Internet of Things form of computing. The real question however, is how can we move traditional business critical applications to this new model, or should we? Is there migration path one can take?
Cloud Computing ...
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The Public Cloud Reality around support responsibility is not something often considered, instead we are looking at SLAs, legal documents, compliance documents, and many other items. Do we consider who is ultimately responsible when something goes wrong within the cloud? Is your Cloud provider a full partner or do they limit themselves to a small subset of the implementation? Do they have 24/7 support will be covered by the SLA, but what type of support? How qualified are the clouds support teams to help you with your application’s problems? Who is responsible?