Use Cases for DevOps

DevOps Concepts

Cem Sakarya

DevOps Risk Advisor

DevOps

DevOps: Software Development + IT Operations
Collaborative and Shared Responsibilities
MVP Releases
Adaptable to various use cases

Infrastructure Engineering

Design, Develop, and Maintain the IT infrastructure
This infrastructure requires power from the cloud or from hardware the company owns
Infrastructure engineers take care of the hardware, network, and cloud components

Tasks for infrastructure engineering are safety, internal tools, hardware, cloud, and network.

Product Engineering

Design, develop, and maintain the Software Products
Customer serving components

Tasks for infrastructure engineering are safety, internal tools, hardware, cloud, and network. For product engineering they are product design, user experience, and MVP.

Data Engineering

Data engineering refers to the building of systems to enable the collection and usage of data.

Product Engineering builds a customer facing feature. Data Engineering collects, stores, and make data available for use.

¹ https://en.wikipedia.org/wiki/Data_engineering

devops is a combination of quality assurance, software development, and IT Operations. DataOps is composed of Data Quality, Data Engineering, and Data Integration. MLOps contaions ML Model training, Machine Learning, and Model Maintenance.

DataOps

Software is powered by data
Data is moved in data pipelines
Ensuring data moves smoothly
Data is not lost while moving
Move the data for the use of data scientists and ML Engineers

MLOps

Predicting the future using the past data
Data Preparation (Historical data)
Model Training
Model Testing
Deployment
Maintenance

No competition

Good code drives good data which leads to good ml.

Let's practice!

DevOps Concepts