This gist started with a collection of resources I was maintaining on stream data processing — also known as distributed logs, data pipelines, event sourcing, CQRS, and other names.
Over time the set of resources grew quite large and I received some interest in a more guided, opinionated path for learning about stream data processing. So I added the reading list.
Please send me feedback!
| [deads@fedora etcd]$ git log --reverse --oneline v3.5.0..HEAD | |
| a2c8c7b52 *: backport OWNERS and update to reflect Red Hat perms. | |
| cff5d5eef version: openshift-v4.0 | |
| efe16fe0e Dockerfile: add etcdctl | |
| a7e0b561d Dockerfile.*: Fix "etcd is distributed" -> "etcd is a distributed" | |
| 210137ce5 Dockerfile: resolve issue where binary was not properly copied from build. | |
| cae57ed87 Dockerfile: set coreos org as canonical for release-3.3 | |
| 5c8df9084 Dockerfile: bump golang to 1.11 | |
| 6423dda5a Dockerfile: use build instead of make build | |
| e047bc9f5 Dockerfile: bump golang 1.12 |