EPISODE · Jul 10, 2018 · 27 MIN
Dissecting Kubernetes Survey Data
from PodCTL - Enterprise Kubernetes · host Brian Gracely & Tyler Britten
Show: 41 Show Overview: Brian and Tyler talk about a number of data surveys that have recently been published about container usage, Kubernetes usage, and several other cloud trends. Show Notes: Cloudability “State of Cloud (2018)” DataDog - “Surprising Facts about Real Docker Adoption” Digital Ocean “Currents” (June 2018) CNCF Survey (June 2018) Topic 1 - Lots of differences between these surveys, both in methodology and results: Does the data come from surveys or actual monitoring? How do they classify various technologies (by project, by vendor, by cloud service, by both)? Do they include usage-based details? Topic 2 - Would you prefer to see more vendor-usage data in these reports, or is it OK to just have generic usage data? Right now it’s sort of a mixed bag Topic 3 - It’s (usually) never clear who is running these container environments. We see some survey data targeting developers, but not all of them explain (or know) which groups are running the container environments vs. consuming services. Topic 4 - It’s interesting that none of these surveys highlight the location of companies/customers/users, since we know that certain geographic pockets of the world have very different usage behaviors than others. Feedback? Email: PodCTL at gmail dot com Twitter: @PodCTL Web: http://podctl.com
Embed this episode
What this episode covers
Show: 41 Show Overview: Brian and Tyler talk about a number of data surveys that have recently been published about container usage, Kubernetes usage, and several other cloud trends. Show Notes: Cloudability “State of Cloud (2018)”DataDog - “Surprising Facts about Real Docker Adoption”Digital Ocean “Currents” (June 2018)CNCF Survey (June 2018)Topic 1 - Lots of differences between these surveys, both in methodology and results: Does the data come from surveys or actual monitoring? How...
Ready to play
Dissecting Kubernetes Survey Data
No transcript for this episode yet
Similar Episodes
No similar episodes found.