Limiting by size in MiB is understandable for cost, but as a user it put me off after trying multiple repositories (popular OSS and personal) because I couldn't find one under that size and ended up not trying it at all. Curious to know how much repo size influenced the $20 pro cost.
It's marketed with the ability to create 'production-ready' automation, but (AFAIK) neither your website nor five-minute video demonstrates a task that is not a 'success' and how an end-user might deal with that.
Is the 'sweeping it under the rug' regarding errors intentional to persuade viewers Onu is a stable & reliable tool and auto-magically handles it somehow, just an oversight, or am I overlooking where this is documented?
Sr. SWE @ Second-largest payment-processing corporation
build multi-cloud (AWS/Azure) cloud-native global
platform for single-manifest app deployments. Automate
provisioning of infrastructure with focus on resilency.
terraform, golang, python, groovy, bash, yaml
DevOps/API Engr. @ Harvard Medical school
build CLI tooling, REST APIs, and Vue 2 UI w/ AD auth for monitoring
15k core + 100 GPU Slurm-based HPC, write chef/puppet for IaC, lead
rollout of container-based jobs (e.g., Singularity)
Sr. SWE @ Air Force SpecOps
write E2E unit tests, automate deployment, containerize dev
env, python 2to3 migration, implement features for python
+mysql/postgres/sqlite webapp
I watch mostly art, history, and tech videos (i.e., perspective & timeline channels). IMO, Youtube is king of diverse content when compared to streaming services.
Regardless of content, I don't view it any different from spending the time listening to music or podcasts.
For context, my time watched via YouTube mobile app:
Today: 17 hr 6 min
Last 7 days: 117 hr 35 min
Daily average: 16 hr 48 min (19% down from last week)