In computing, bigger and more ambitious dreams have always been realized by pushing the limits. Cloud computing is no exception; parallel computing, cluster computing, grid computing, and edge computing are all continuously expanding what we consider to be possible. But they also make development more difficult.
Cloud computing is now in the phase of streamlining complexity. There are several examples of integrated solutions that are optimized for certain workloads or development models: Google’s Anthos, Amazon’s Outposts, Azure’s Stack Hub, and Hashistack.
These solutions bundle together building blocks necessary for larger-scale applications and systems, but they present complicated low-level interfaces that require developers and operators to configure, learn, assemble, and scale appropriately.
It’s similar to the complexity reduction evolution happening in programming languages: Punch cards, assembly, C, C++, Java …
Continuous improvement keeps happening, but at some point, an architecture shift emerges that addresses the accumulation of complexity.
In our first blog post on Klo.Dev, we take a look at a few principles that we view as critical for this architectural shift to emerge, and what we need from products to effectively take us into the new world of cloud computing: