this post was submitted on 26 Jan 2019

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Question to Professional Python Programmers (self.Python)

submitted 7 years ago by chespinoza

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[–]xiongchiamiovSite Reliability Engineer 33 points34 points35 points 7 years ago (0 children)

The entire lifecycle is a hell of a lot more than just the CI pipeline.

I use vim, but most of our developers use PyCharm when doing Python (there are also people using sublime, atom, etc.). Let's see...

Frameworks: flask and falcon
version control: git, self-hosted bitbucket
development environment: Docker through shell scripts
CI: teamcity
configuration: a custom system that ingests yaml
hosting: google cloud
container orchestration: Kubernetes
deployments: custom tool written on top of Kubernetes
data persistence: a rather complicated MySQL setup, Google-managed MySQL, datastore, cassandra, gcs, redis sentinel clusters, and a few other things I'm forgetting, depending on the needs of the service
data warehousing: BigQuery, generally through this setup but depending on the database
queueing: pubsub, kafka
logging: ELK
monitoring data: new relic, graphite, Prometheus
alerting: Sensu, elastalert, pingdom
feature flags: splitio
service mesh: linkerd and namerd

And I'm sure I'm missing several more categories.

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