Last several posts reinforce the point that not enough R&D and other SAS technical professionals were tasked with cultivating deep technical expertise in the evolution of the cloud in general and specifically security and data management therein. But this goes right along with the political shenanigans, micromanaging and stifling of innovation at SAS that began in the early 2000s. Meanwhile, over that decade, the SAS9 stack grew progressively more complex, convoluted, and less amenable to anything resembling cloud native or SaaS.
Going back to 2005 or so, with rare exceptions, only a few executives went to conferences or otherwise kept up with emerging cloud, data and security trends. They would bring tid bits back with a mandate to somehow “integrate“ with SAS, so some data access engines and Hadoop-related stuff got created … yet this fell far short of the colossal paradigm shift that cloud computing represents.
Compare this to the mid 80s when MVA was conceived and R&D embarked on porting SAS to many disparate host architecture and operating systems. Most host teams had deep technical expertise ICs in all aspects of the architecture and operating system they were porting to. A few developers were even nationally and internationally known for their work.
The lack of a clear cut and progressive architectural vision along with stunted technical expertise related to the cloud is a significant reason why SAS was unable to significantly innovate for this new computing paradigm. By the time CAS/Viya was conceived, modern cloud infrastructure had a full head of steam and technologies like Docker and Kubernetes spread like wildfire.
SAS failed to integrate these technologies into the early design of CAS/Viya. Things have been remediated quite a bit since then, there still seems to be a mismatch between SAS and cloud native operations. Can anyone further elucidate this?