DevOps Conference
The Conference for Continuous Delivery, Microservices,
Containers, Clouds and Lean Business

MLOps: Continuous Delivery of Machine Learning Systems

Session

Until conference starts:
✓ Team discounts
✓ All inclusive 4-Day Passes available

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Until conference starts:
✓ Team discounts
✓ All inclusive 4-Day Passes available

Register Now

Until May 20:
✓ Save up to € 268
✓ Team discount
✓ Specials for freelancers
Register now
Bis 20. Mai:
✓ Bis zu 268 € sparen
✓ Kollegenrabatt
✓ Specials for freelancers
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Until June 17:
✓ Transformation Day for free
✓ Save up to $500
✓ Group discount
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Until June 17:
✓ Transformation Day for free
✓ Save up to $500
✓ Group discount
Register now
Until July 2:
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $330
Register now
Until July 2:
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $330
Register now
Thank you for joining!


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In recent years, we have gained an essential insight about the field of software development: DevOps is no longer a nice to have – it is absolutely necessary. A fast pipeline of Continuous Integration, Continuous Delivery, and Continuous Deployment delivers value to customers.

Delivering value and solving problems is also the goal of every machine learning model. However, building the model is the easy part. The real challenge is to build an integrated machine learning system.

You’ll leave this talk with an understanding of how we can apply learnings from "traditional" software engineering in a data science environment. You’ll learn how we can version, test, and monitor our model, our data, and all the other moving parts of our ML system. We will talk about different degrees of maturity in MLOps, the big picture of pipeline architectures, and the nitty-gritty details about why you don’t want to deploy your Jupyter notebooks to production. Also, we will explore weapons of choice for different parts of your ML system and common misconceptions about machine learning in production.

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von London London .

Take me to the full program of Zum vollständigen Programm von Berlin Berlin .

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von New York New York .

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Singapore Singapur .

This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Munich München .

This Session Diese Session belongs to the gehört zum Programm von BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von London London , Berlin Berlin , New York New York , Singapore Singapur or oder Munich München .

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Behind the Tracks

 

Kubernetes Ecosystem

Docker, Kubernetes & Co

Microservices & Software Architecture

Maximize development productivity

Continuous Delivery & Automation

Build, test and deploy agile

Cloud Platforms & Serverless

Cloud-based & native apps

Monitoring, Traceability & Diagnostics

Handle the complexity of microservices applications

Security

DevSecOps for safer applications

Business & Company Culture

Radically optimize IT

Organizational Change

Overcome obstacles on the road to DevOps

Live Demo #slideless

Showing how technology really works