Populating this as we dig further into the platform, hopefully it'll be as useful to you as it is to use.
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| // Import classes | |
| // To work with hudson.model we need have access to System Groovy | |
| // it can be provided by Groovy plugin | |
| import hudson.model.* | |
| import java.util.Map; | |
| // Create directly object of class CascadeChoiceParameter | |
| // which will be parameter | |
| CascadeChoiceParameter CCPCluster = new CascadeChoiceParameter( | |
| "ClusterName", |
bat9r
/ elastic_cheat_sheet.md
Created
February 6, 2019 12:20
— forked from igorcosta/elastic_cheat_sheet.md
Elastic Cheat Sheet
bat9r
/ acs_kubernetes-get-credentials_FAIL.md
Created
January 25, 2019 10:56
acs_kubernetes-get-credentials_FAIL
Login into your Kubernetes master and add this /etc/ssh/sshd_config
KexAlgorithms curve25519-sha256@libssh.org,diffie-hellman-group1-sha1
Ciphers chacha20-poly1305@openssh.com,aes256-gcm@openssh.com,aes128-gcm@openssh.com,aes256-ctr,aes192-ctr,aes128-ctr
MACs hmac-sha2-512-etm@openssh.com,hmac-sha2-256-etm@openssh.com,umac-128-etm@openssh.com,hmac-sha1,hmac-md5,hmac-sha1-96,hmac-md5-96
After it restart ssh
systemctl restart ssh
bat9r
/ gist:eaec972d80ac8181b400e719c30f1c28
Last active
December 26, 2018 09:51
Azure_acs_ssh_isuue
Error:
Incompatible ssh peer (no acceptable kex algorithm)
Traceback (most recent call last):
File "/opt/az/lib/python3.6/site-packages/knack/cli.py", line 206, in invoke
...
Workaround: Login into your Kubernetes master and add this
bat9r
/ install_imagemagick7_ubuntu1604.sh
Created
September 14, 2018 12:10
Installing ImageMagick7 in docker container ubuntu:16.04
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| apt-get update | |
| apt-get -y install wget gcc make libpng12-dev | |
| wget https://imagemagick.org/download/ImageMagick.tar.gz | |
| tar xvzf ImageMagick.tar.gz | |
| cd ImageMagick-7* | |
| ./configure | |
| make | |
| make install | |
| ldconfig /usr/local/lib | |
| make check |
bat9r
/ how-to-use-fluentd.md
Last active
May 7, 2019 09:14
Link to library https://github.com/fluent/fluent-logger-python
Fluentd service name: "fluentd-svc.elk.svc.cluster.local"
Install library:pip install fluent-logger
Python code:
>>> from fluent import sender
>>> logger = sender.FluentSender('app', host='fluentd-svc.maintenance.svc.cluster.local', port=24224)
I make some assumptions, and make no claims in how well supported this is or ever will be. I wanted to avoid using VMs because i've been working in containers for the last half decade. It made sense to just skip the middle man and use a machine type container system to run my minikube workloads.
Simply put, Juju does a fantastic job; but to stay objective I wanted to achieve minikube in LXD
as a functional alternative to juju deploy kubernetes-core, or using KVM/VirtualBox in this solution.