Michael Herman (@MikeHerman) continues our Python For DevOps series how to use Python, Docker, and AWS Fargate to run a Flask microservice! It’s a lot of knowledge in 46 minutes to hang on tight! Resources: https://gitlab.com/testdriven/flask-tdd-docker/tree/aws-fargate https://testdriven.io/courses/tdd-flask/ https://testdriven.io/ https://realpython.com/ https://mherman.org/ https://github.com/mjhea0
In the middle of September, we had another fun Build Day Live event. This time, we deployed the NetApp HCI platform and the NetApp Kubernetes on top of the HCI. Be sure to take a look at all of the videos from the Build Day Live with NetApp in Boulder as well as the event home page. We all enjoyed our time in Boulder, a beautiful central city with the Rocky Mountains rising up directly to the west of town. I have wanted to look at the process of deploying this HCI platform since I was convinced that HCI isn’t really about having the compute and storage cluster on the same servers. The NetApp HCI uses compute-only hypervisor hosts, and then shared storage using the scale-out Element storage OS from the SolidFire platform. Other HCI platforms use storage inside the hypervisor hosts, and so the storage cluster overlaps the compute cluster. With NetApp, there are two separate clusters, but the management is unified, it overlaps.
