The Virtualization Practice

Author Archive for Mike Kavis

Mike Kavis
Mike KavisMike is a VP/Principal Architect for Cloud Technology Partners. Mike has served in numerous technical roles such as CTO, Chief Architect, and VP positions with over 25 years of experience in software development and architecture. A pioneer in cloud computing, Mike led a team that built the world's first high speed transaction network in Amazon's public cloud and won the 2010 AWS Global Startup Challenge. An expert in cloud security, Mike is currently writing a book for Wiley Publishing called "Architecting the Cloud: Design Decisions for Cloud Computing Service Models (IaaS, PaaS, SaaS)" which is expected to be released in late 2013.

The Many Faces of PaaS

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.

Agile Cloud Development

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.

Agile Cloud Development

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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