⏛ — Kubernetes deploy tool

Simple, but powerful tool, build around kubectl command, great for CI/CD environments.

Key features:

apply — update cluster configuration with automated undo in case of error
garbage-collect — detect unused images for each deployment, remove unused images from Docker Distribution (Registry).

Configuration

Environment variables:

CLUSTER_CONTEXT cluster context to use (default, no context, so kubectl will use default)

Flags:

Cluster context variable can be overridden via global flag: -c or --context
Cluster rollout timeout can be set via -t or --release-timeout for apply command
For a garbage-collect command, cluster namespace can be changed via -n, --namespace, default is "default".

Kubernetes Rollout

Apply new configuration to Kubernetes cluster and monitor release delivery.

Usage:

$ fuse apply -f deployment.yml

Help screen:

$ fuse help apply
Apply new configuration to Kubernetes cluster and monitor release delivery

Usage:
  fuse apply [flags]

Flags:
  -f, --configuration string       Rollout configuration spec file (yaml), mandatory
  -t, --rollout-timeout duration   Rollout timeout (default 2m0s)

Global Flags:
  -c, --context string   Override CLUSTER_CONTEXT defined in environment (default "")

What `apply` command do?

fuse will get all deployments defined in configuration yml file
command kubectl apply -f deployment.yml will be executed
for each deployment, deployment rollout status will be monitored
if status is successful:
- fuse will display logs for each created pod for each deployment
if timeout reached:
- fuse will display logs from pods attached to each deployment
- for each deployment rollout undo will be executed, but only if deployment undo history is present

Sample output

[14:31:04][Step 4/5] Starting: /data/tc-agent/temp/agentTmp/custom_script427977640370952504
[14:31:04][Step 4/5] in directory: /data/tc-agent/work/fa28ed608c5de3ce
[14:31:04][Step 4/5] ===> kubectl apply -f kubernetes.yml -o name
[14:31:04][Step 4/5] service/example-staging
[14:31:04][Step 4/5] deployment/example-staging
[14:31:04][Step 4/5] 
[14:31:04][Step 4/5] ==> Starting rollout monitoring, timeout is 2m0s seconds
[14:31:09][Step 4/5] ===> kubectl --namespace=default get deployment/example-staging -o yaml
[14:31:09][Step 4/5] ===> Deployment: default/example-staging, Ready: false, Generation: meta=84 observed=84, Replicas: s=1, u=1, a=1, na=1
[14:31:14][Step 4/5] ===> kubectl --namespace=default get deployment/example-staging -o yaml
[14:31:15][Step 4/5] ===> Deployment: default/example-staging, Ready: true, Generation: meta=84 observed=84, Replicas: s=1, u=1, a=1, na=0
[14:31:15][Step 4/5] ==> Rollout done!
[14:31:15][Step 4/5] ==> Fetching logs...
[14:31:15][Step 4/5] ===> kubectl --namespace=default get deployment/example-staging -o yaml
[14:31:15][Step 4/5] ===> kubectl --namespace=default get pods --selector=app=example-staging -o yaml
[14:31:15][Step 4/5] ===> kubectl --namespace=default logs --tail=100 example-staging-1567981747-4awvj
[14:31:15][Step 4/5] ===> Deployment: default/example-staging, Pod: default/example-staging-1567981747-4awvj:
[14:31:15][Step 4/5] *** Running /etc/my_init.d/00_regen_ssh_host_keys.sh...
[14:31:15][Step 4/5] *** Running /etc/rc.local...
[14:31:15][Step 4/5] *** Booting runit daemon...
[14:31:15][Step 4/5] *** Runit started as PID 14
[14:31:15][Step 4/5] 2017/03/09 14:31:05 [notice] 23#23: using the "epoll" event method
[14:31:15][Step 4/5] 2017/03/09 14:31:05 [notice] 23#23: nginx/1.11.10
[14:31:15][Step 4/5] 2017/03/09 14:31:05 [notice] 23#23: built by gcc 5.4.0 20160609 (Ubuntu 5.4.0-6ubuntu1~16.04.2) 
[14:31:15][Step 4/5] 2017/03/09 14:31:05 [notice] 23#23: OS: Linux 3.10.0-327.22.2.el7.x86_64
[14:31:15][Step 4/5] 2017/03/09 14:31:05 [notice] 23#23: getrlimit(RLIMIT_NOFILE): 1048576:1048576
[14:31:15][Step 4/5] 2017/03/09 14:31:05 [notice] 23#23: start worker processes
[14:31:15][Step 4/5] 2017/03/09 14:31:05 [notice] 23#23: start worker process 35
[14:31:15][Step 4/5] [Mar 9 14:31:06.712] info: server started: http://example-staging-1567981747-4awvj:3000
[14:31:15][Step 4/5] [Mar 9 14:31:06.722] info: Redis connected
[14:31:15][Step 4/5] [Mar 9 14:31:06.733] info: Redis ready
[14:31:15][Step 4/5] [Mar 9 14:31:10.197] debug: HEAD http://127.0.0.1:3000/healthcheck
[14:31:15][Step 4/5] [Mar 9 14:31:10.225] debug: HEAD http://127.0.0.1:3000/healthcheck
[14:31:15][Step 4/5] [Mar 9 14:31:15.206] debug: HEAD http://127.0.0.1:3000/healthcheck
[14:31:15][Step 4/5] [Mar 9 14:31:15.219] debug: HEAD http://127.0.0.1:3000/healthcheck
[14:31:15][Step 4/5] 
[14:31:15][Step 4/5] Process exited with code 0

Registry Garbage Collection

Docker Registry access and manipulation is based on our another project Hitman.

Remove tags from registry not registered within any Kubernetes ReplicaSet.

Usage:

$ fuse garbage-collect --registry-url=https://registry.example.com:5000/

Help screen:

$ fuse help garbage-collect
Remove tags from registry not registered within Kubernetes ReplicaSet

Usage:
  fuse garbage-collect [flags]

Flags:
  -d, --dry-run               Do not execute destructive actions (default "false")
  -i, --ignore-missing        Skip missing images in Registry (default "false")
  -k, --keep-tag stringSlice  Keep tag in Registry, even if it not deployed (default none)
  -n, --namespace string      Kubernetes namespace to use (default "default")
  -r, --registry-url string   Registry URL (e.g. "https://registry.example.com:5000/")

Global Flags:
  -c, --context string   Override CLUSTER_CONTEXT defined in environment (default "")

-k/--keep-tag can be provided multiple times, best use case is keep latest tag in order to speed up build image time.

What `garbage-collect` command do?

fuse will search all replica sets for given namespace (default is by default)
For each replica set Spec.Template.Spec.Containers[].Image will be analyzed
For each image repository, full list of tags and image digests will be fetched from provided registry-url
If some of repositories absent, error will be thrown, unless ignore-missing flag is set
All tags of image not registered within any ReplicaSet will be marked for deletion
If dry-run is not set, images digests, marked for deletion, will be marked for deletion in Docker Distribution (beware: Registry itself has own garbage-collect command)

Do not forget to schedule Registry garbage-collect command to perform actual cleanup of deleted images!

Sample output

[14:37:38][Step 2/5] Starting: /data/tc-agent/temp/agentTmp/custom_script5182791551931646628
[14:37:38][Step 2/5] in directory: /data/tc-agent/work/2d12da58bb93314d
[14:37:38][Step 2/5] ==> Fetching repository info...
[14:37:38][Step 2/5] ===> kubectl --namespace=default get replicasets -o yaml
[14:37:41][Step 2/5] ==> Found 1 repositories
[14:37:41][Step 2/5] ===> Repository: acme/example-staging
[14:37:41][Step 2/5] ===> Deployed: [45 40 41 42 43 44]
[14:37:41][Step 2/5] ===> Detected as garbage: [34 35 36 37 38 39]
[14:37:41][Step 2/5]
[14:37:41][Step 2/5] ==> Clearing up...
[14:37:41][Step 2/5] ===> Done: acme/example-staging
[14:37:42][Step 2/5] Process exited with code 0

Command execution

For each given selector, find all associated pods and execute provided command in each container of each pod.

Sample output

$ fuse exec --deployments app=acme-staging-wrk,app=acme-staging-adm --command date
===> kubectl --namespace=default get deployment --selector=app=acme-staging-wrk -o yaml
===> kubectl --namespace=default get deployment --selector=app=acme-staging-adm -o yaml
===> kubectl --namespace=default get pods --selector=app=acme-staging-wrk,project=acme-188825 -o yaml
===> kubectl --namespace=default get pods --selector=app=acme-staging-adm,project=acme-188825 -o yaml
===> kubectl --namespace=default exec acme-staging-wrk-2842908200-wwlxe --container=acme-staging-wrk date
===> Pod: default/acme-staging-wrk-2842908200-wwlxe, Container: acme-staging-wrk:
Tue Jul  4 18:49:11 MSK 2017

===> kubectl --namespace=default exec acme-staging-adm-3301714455-wwnu8 --container=acme-staging-adm date
===> Pod: default/acme-staging-adm-3301714455-wwnu8, Container: acme-staging-adm:
Tue Jul  4 18:49:11 MSK 2017

Stability

Tool currently in pre-release stage, but, it is using heavily to deliver releases to our staging/production cluster. Same applied to garbage-collect, clean up images is used both at production and staging cluster.

All interactions with kubectl is covered by tests, but scenarios (commands) are not. Use at your own risk.

Tool is tested with Kubernetes/kubectl v1.2.0

License

Fuse is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.

fuse v1.0.1 is released under Unlicense

Development

Golang >= 1.7.x
golint
glide
gover
make

Install developer dependencies:

$ go get -u github.com/modocache/gover && \
go get -u github.com/golang/lint/golint && \
go get -u github.com/Masterminds/glide && \
go get -u github.com/gordonklaus/ineffassign && \
go get -u github.com/client9/misspell/cmd/misspell

Install project dependencies:

$ glide install

Test and Coverage:

make test — linting and testing
make coverage — display coverage information
make format — gofmt sources
make coverage && go tool cover -html=coverage.txt — see coverage

Dalee/fuse

⏛ — Kubernetes deploy tool

Configuration

Kubernetes Rollout

What `apply` command do?

Sample output

Registry Garbage Collection

What `garbage-collect` command do?

Sample output

Command execution

Sample output

Stability

License

Development

Useful links, Further reading

Dalee/fuse

⏛ — Kubernetes deploy tool

Configuration

Kubernetes Rollout

What apply command do?

Sample output

Registry Garbage Collection

What garbage-collect command do?

Sample output

Command execution

Sample output

Stability

License

Development

Useful links, Further reading

What `apply` command do?

What `garbage-collect` command do?