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DevOps in the clouds

Alexey Migutsky : Senior Software Developer @ Lohika
What do we do?
What do we do?

Ubix.io
PaaS for BigData analytics in cloud
environments.
What do we use?
Scala

Python

What do we use?

Bash
Javascript
BDAS (Spark + Shark)
AWS
Black Voodoo Magic™

What do we use?
Velocipede™
Brains
What’s next?
DevOps WAT?

AWS

What’s next?

CI
Orchestration
?
What is DevOps?
What is DevOps?
-

Methodology

-

Agile Infrastructure

-

Infrastructure == Code

-

Automation

-

« Unified pipeline »
How to DevOps?
How to DevOps?
-

Continuous Integration

-

Automate everything

-

Declarative orchestration

-

« Pipeline »
How come?
How come?
-

AWS (cloud env)

-

Startup

-

Laziness

-

« We wanna code! »
AWS
AWS
-

EC2

-

Route53

-

DynamoDB

-

S3

-

IAM
Black Voodoo Magic™
Black Voodoo Magic™
-

« micro cloud » per user

-

Node per module

-

Easy CI

-

No multitenancy

-

Velocipede™ deployment
CI
CI
1. Github

2. Jenkins (scala, node.js, tests)
3. S3
4. Velocipede™ deployments
CI How-To
« do work »
build & test
build & test
store
build & test
store
build & test
store
build & test
store
Velocipede™
Velocipede™
1. Self-made legacy Python/Bash deployment scripts

2. Scala-based Web Service
3. No Chef, no Puppet, no hope…
Velocipede™
1. Deploy using local scripts (devs do this)

2. RESTful API calls (modules do this)
3. Deploy by client creation
Orchestration
Orchestration
Velocipede™ uses self-made AMIs

No Chef, no Puppet, no hope…
Plans
Ansible / Salt
Ansible / Salt

Apache jclouds
jclouds
jclouds
-

Java-based cloud API

-

30 cloud providers

-

« Portable abstractions »
Ansible
Ansible
-

No master server and agents

-

SSH

-

Simple DSL

-

Python

-

YAML « playbooks »
Salt
Salt
-

Has master and « minions »

-

YAML « states »

-

Simple DSL

-

We found it a bit complicated
That’s it!
That’s it!
Thanks

@mr_mig_by
bit.ly/mr_mig

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DevOps in the clouds