The DShell Pattern (DevOpsDays London 2019)

Transcript

1. The DShell Pattern DevOps Days London, 2019
2. David McKay ➔ Developer Advocate for InfluxData ➔ Kubernetes Release Team ➔ Tweets @rawkode ★ Scottish ★ Lover of esoteric programming languages ★ Likes symmetry
3. BREAKING NEWS Some* developers don’t want to use Docker * No developer with macOS wants to use Docker
4. Docker is useful Encapsulated Dependencies Documented Build Process Deployable
5. 3 Components Dockerfile Docker Compose Makefile
6. Dockerfile Make it work for all environments
7. Dockerfile FROM elixir:1.9-alpine AS base FROM base AS development RUN apk add --update vim git make FROM base AS build RUN make compile FROM base AS production COPY --from=build … ...
8. Docker Compose Make it as (more) painful as possible (than normal)
9. dshell dshell: @docker-compose run \ --rm \ --service-ports \ --user $UID \ --use-aliases \ --entrypoint=ash \ myapp
10. Encourage DShell Block Up service: myapp: entrypoint: sh command: echo Publish Service Ports --service-ports Override Entrypoint --entrypoint=ash
11. UNPOPULAR OPINION DO NOT use compose syntax v3 in dev
12. Best Practice Use Depends On depends_on: mongodb: condition: service_healthy 12-Factor env_file: .env env_file: - .env - .env.secret
13. Makefile Unify Developers
14. The Sausage .PHONY: dshell dclean up up: deps @mix run --no-halt compile: deps @mix compile
15. up up: @npm run develop @mix test @FLASK_APP=hello flask run
16. dclean! dclean: @docker-compose down --rmi=local -v
17. Final API ❏ make dshell [host] ❏ make up [container] ❏ make test | deps | whatever [container] ❏ make dclean [host]
18. Better Together We’re deploying Docker to production (I hope), so encourage (not force) it’s usage for local development; make it easy for people to dip their toe in.
19. VSCode Remotes { "dockerComposeFile": [ "../docker-compose.yml", ], "service": "node", }
20. Thank You ➔ Follow me on Twitter (@rawkode) ➔ At the InfluxData booth (I’ve got badges and stickers) ➔ Come speak to me about InfluxDB, Cloud Native, Monitoring, Docker, or Kubernetes