DevOps Conference
The Conference for Continuous Delivery, Microservices,
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Serverless Deep Learning

Session
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✓ Amazon Echo Dot or Arduino for free
✓ Team discount
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Until August 11:
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✓ Workshop Day for free
✓ Team discount
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Until August 25
✓ Transformation Day for free
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✓ Amazon Echo Dot or Arduino for free
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Bis 25. August
✓ Transformation Day gratis
✓ Sparen Sie bis zu 867 €
✓ Amazon Echo Dot oder Arduino gratis
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Thank you for attending
We see us 2023
or in September in New York
Go to New York
Thank you for attending
We see us 2023
or in September in New York
Go to New York
Thank you for attending
We see us 2023
or in Munich in December 2022
Go to Munich
Danke für Ihre Teilnahme
Wir sehen uns 2023
oder im Dezember in München
Jetzt nach München
Infos

Deep learning achieves the best performance for many computer vision, natural language processing, and recommendation tasks and thus it’s becoming increasingly more popular. However, it’s quite difficult to use deep learning in production as it requires a lot of effort to develop proper infrastructure for serving deep learning models.Platforms for serverless computing, such as AWS Lambda, provide a good alternative: they take care of scaling up and down and offer attractive pricing based only on actual usage. These platforms, unfortunately, have other limitations that make it problematic. In this talk, we show how to come around these limitations and be able to use AWS lambda and TensorFlow to serve deep learning models. We also discuss important maintenance aspects such as cost optimization, monitoring, deploying, and release management. Finally, we cover the limitations of AWS lambda, compare it with “serverful” solutions, and suggest workloads for which serverless is not the best option.

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

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Kubernetes Ecosystem

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Live Demo #slideless

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