Cloud Design and Raw Data
Raw data now!
“Raw data now!”
Tim Berners-Lee | The next web TED2009
It was a very powerful message that Tim Berners-Lee sent with a 16-minute lecture.
Since he took the stage in 2009, that message, about the importance of assembling and interlinking the “raw (unedited) data” that people carry, has not diminished in its importance. Raw data forms the foundation of AI and Big Data technology and it sustains the development of today’s breakthroughs.
Thus, we believe that “rawness” is profoundly important to cloud design as well.
“Raw” cloud design is design that arises from the process of constructing an actual service and is distinct from generically edited templates, best practices, and sometimes from collections of cases that are created for advertising purposes. Those of us on the reindeer team, working on-site to provide cloud computing, see information that has undergone a variety of processing and editing, so we are sensitive to its use. We are regularly dogged by the following doubts:
・We understand the general idea, but how are we supposed to configure the specifics?
・We understand the individual components, but how are we supposed to assemble the big picture?
・Will this default configuration stand up to actual application?
・Is this information objectively reflective of trends?
The only way to answer these concerns is with detailed supply data created for each actual service and website, and information sources compiled from them in such a way as to demonstrate trends. For example, the reindeer project is using the power of the token economy to gather cloud designs from around the world and is evaluating them for their “rawness” using criteria like those described below. (Click for detail.)
1–1: Evaluating Existence
Evaluate if a system is actually designed based on applicable design and the results from its operation. Points are added if its existence is proved with DNS certificates and API linkage for third parties.
1–2: Evaluating Accuracy
Evaluate whether supply conditions are included for cloud computing that can withstand actual orders. Points are added if ordering code is described for infrastructure automation tools that can be used for cloud computing ordering, such as AWS CloudFormation and Azure ARM Template.
Through the power of technology, we have become able to extract abundant knowledge and insights from raw data.
Consequently, the importance of raw data steadily increases.
We also believe that cloud design is no exception.
reindeer: from Japan, the world’s first cloud design platform
If you take an interest in the project, we invite you to subscribe to our mailing list or contact us via social media!
Telegram: https://t.me/joinchat/Hxd2OhLhColSfF-oRB8Thw
Twitter: https://twitter.com/reindeer_press
