IT has changed over the past 10 years with the adoption of cloud computing, continuous delivery, and significantly better telemetry tools. These technologies have spawned an entirely new container ecosystem, demonstrated the importance of strong security practices, and have been a catalyst for a new world of big data. Small and midsize businesses, or SMBs, and enterprises alike now likely need to employ data engineers, data scientists, and security specialists. These roles may be siloed right now, but history tells us there can be a more collaborative path.
DevOps broke down the barrier between development and operations to create the best methodology for building and shipping software. InfoSec is the latest member to join the DevOps value stream. Take a look around the internet and you’ll find plenty of posts on integrating security and compliance concerns into a continuous delivery pipeline, including The DevOps Handbook, which dedicates an entire chapter to the topic. I’ve also written about continuous security on this blog. While Dev, InfoSec, and Ops have become the “DevSecOps” you see splashed around on the internet, we need a new movement that’s rooted in DevOps philosophy to bring in data workers.
Calling for DevSecDataOps
So the name may not be great (you may have even seen it coming), but I’ll make my case for integrating all data related activities into the DevOps value stream. My case begins with the second DevOps principle: The Principle of Feedback.
The Principle of Feedback requires teams to use automated telemetry to identify new production issues and verify the correctness of any new release. Let’s put aside the first clause and instead focus on the arguably more important second clause. First I must clarify a common shortcoming. Many teams ship changes to production and considers that “done”. That’s not “Done”, but still “Work In Progress”. “Done” means delivering

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