I find the terminology of WORM (Write Once Read Many) coming back into the IT speak in recent years. In the era of rip and burn, WORM was a natural thing where many of us “youngsters” used to copy files to a blank CD or DVD. I got know about how WORM worked when I learned that the laser in the CD burning process alters the chemical compound in a segment on the plastic disc of the CD, rendering the “burned” segment unwritable once it was written but it could be read many times.
At the enterprise level, I got to know about WORM while working with tape drives and tape libraries in the mid-90s. The objective of WORM is to save and archive the data and files in a non-rewritable format for compliance reasons. And it was the data compliance and data protection parts that got me interested into data management. WORM is a big deal in many heavily regulated industries such as finance and banking, insurance, oil and gas, transportation and more.
Obviously things have changed. WORM, while very much alive in the ageless tape industry, has another up-and-coming medium in Object Storage. The new generation of data infrastructure and data management specialists are starting to take notice.
Worm Storage – Image from Hubstor (https://www.hubstor.net/blog/write-read-many-worm-compliant-storage/)
I take this opportunity to take MinIOobject storage for a spin in creating WORM buckets which can be easily architected as data compliance repositories with many applications across regulated industries. Here are some relevant steps.
How did it become that way? How did AWS Storage became numero uno?
I became interested in the Flywheel concept some years back. It was conceived in Jim Collins’ book, “Good to Great” almost 20 years ago, and since then, Amazon.com has become the real life enactment of the Flywheel concept.
Amazon.com Flywheel – How each turn becomes sturdier, brawnier.
Every turn of the flywheel requires the same amount of effort although in the beginning, the noticeable effect is minuscule. But as every turn gains momentum, the returns of each turn scales greater and greater to the fixed efforts of operating a single turn.