Tech Talk CodiLime 31.01.2018 DevOps by Example CodiLime Tech Talk - Maciej Sawicki: Streamline application deployments with Kubernetes and Helm You can find the recording here: https://youtu.be/6hazvmPOWHY

1. DevOps by Example
31.01.2018

2. Streamline application deployments with
Kubernetes and Helm
Maciej Sawicki

3. Machine learning platform as a
service
Our client (stealth mode startup) asked codilime to help them with automated
provisioning ready to work ML/Data Scientist environments.
Key requirements:
● Provide environment easy to use for data science engineers with various experience:
○ easy to use for beginners
○ do not get in the way of power users
● One click deployment of complex ML/DS stacks and tools:
○ Hadoop
○ Spark
○ JupyterHub
○ Seahorse
● Support for Azure, AWS, GCP do not get in the way of power users

4. Challenges
● Each cloud has its pros and cons and its own challenges
● We shouldn’t make any assumptions about operators environment
● Secrets/credentials management
● CI/CD testing

5. Technology stack
● Each cloud has its pros and cons and its own challenges
● We shouldn’t make any assumptions about operators environment
● Secrets/credentials management
● CI/CD testing

6. Technology stack
● Kubernetes
● Terraform
● Helm
● Docker
● Vault
● Ansible
● Python 3
● Jenkins
● Prometheus
● Hadoop, Spark, Scikit-learn, TensorFlow, etc, tl;dr;

7. Introduction to Helm
Helm helps you manage Kubernetes applications — Helm Charts helps you
define, install, and upgrade even the most complex Kubernetes application.
Charts are easy to create, version, share, and publish — so start using Helm and
stop the copy-and-paste madness.

8. Kube Apps

9. Writing own charts
● helm create mychart
● Charts.yaml
● Values.yaml
● Helm template language

10. Demo

11. Thank You!

12. Creative Commons
thenounproject.com
Dinosoft Labs,
Jae Designer,
Oksana Latysheva,
Till Grzegorczyk,
Gregor Cesnar,
Chameleon Desing,
Buzzyrobot,
Sam Smith

13. DevOps by Example
31.01.2018
Thanks!