AWS Developers Podcast David Isbitski

In this episode, Emily and Dave chat with Cobus Bernard, Sr Developer Advocate, Technical Experience at AWS. Cobus talks about his experience moving from Africa to the United States, the tech scene in Africa, and what it was like working in developer relations with such a diverse geography. Cobus then dives into an introduction to using Terraform on AWS, understanding HCL and modules, and shares some of the gotchas developers might run into.

Cobus on Twitter: https://twitter.com/cobusbernard
Emily on Twitter: https://twitter.com/editingemily
Dave on Twitter: https://twitter.com/thedavedev

Cobus YouTube Channel: http://bit.ly/cobus-youtube
Cobus Twitch Channel: https://www.twitch.tv/cobusbernard

[BLOG] Terraform: Beyond the Basics with AWS: https://aws.amazon.com/blogs/apn/terraform-beyond-the-basics-with-aws/

[DOCS] Terraform Documentation: https://www.terraform.io/language
[DOCS] Getting Started with Terraform on AWS: https://learn.hashicorp.com/collections/terraform/aws-get-started

[IMAGE] Not Darko Not Cobus Meme: https://ibb.co/GPr5kSD

[YOUTUBE] Getting Started with Terraform on AWS: https://www.youtube.com/watch?v=gZirQnwfCHo&ab_channel=CobusBernard
[YOUTUBE] DevBeardOps - Terraform with Kerim Satirli: https://www.youtube.com/watch?v=jxABeguq2kU&ab_channel=CobusBernard

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Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669
Google Podcasts:
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Spotify:
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In part two, Dave chats again with Francesco Pochetti, Senior Machine Language Engineer at Bolt, and an AWS Machine Learning Hero. In this episode, Francesco dives deep in the ML tools on AWS, starting with the tools such as NVIDIA Triton and TensorRT, and how to improve processing time for Computer Vision. He also covers Amazon SageMaker, and many other AWS ML services as well as deploying ML models using Docker in the best way possible. If you missed it, you could listen to part one of this conversation in Episode 045.

Francesco on Twitter: https://twitter.com/Fra_Pochetti
Dave on Twitter: https://twitter.com/thedavedev

Francesco’s Website: https://francescopochetti.com/
Francesco’s LinkedIn: https://www.linkedin.com/in/francescopochetti/
Francesco’s GitHub: https://github.com/FraPochetti

[BLOG] Blurry faces: Training, Optimizing and Deploying a segmentation model on Amazon SageMaker with NVIDIA TensorRT and NVIDIA Triton - https://francescopochetti.com/blurry-faces-a-journey-from-training-a-segmentation-model-to-deploying-tensorrt-to-nvidia-triton-on-amazon-sagemaker/
[BLOG] Machine Learning and Developing inside a Docker Container in Visual Studio Code https://francescopochetti.com/developing-inside-a-docker-container-in-visual-studio-code/
[BLOG] Deploying a Fashion-MNIST web app with Flask and Docker: https://francescopochetti.com/deploying-a-fashion-mnist-web-app-with-flask-and-docker/
[BLOG] IceVision meets AWS: detect LaTeX symbols in handwritten math and deploy with Docker on Lambda: https://francescopochetti.com/icevision-meets-aws-detect-latex-symbols-in-handwritten-math-and-deploy-with-docker-on-lambda/

[DOCS] Amazon Rekognition - https://aws.amazon.com/rekognition/
[DOCS] Amazon SageMaker - https://aws.amazon.com/sagemaker/
[DOCS] Amazon Textract - https://aws.amazon.com/textract/
[DOCS] Deploy fast and scalable AI with NVIDIA Triton Inference Server in Amazon SageMaker https://aws.amazon.com/blogs/machine-learning/deploy-fast-and-scalable-ai-with-nvidia-triton-inference-server-in-amazon-sagemaker/

[GIT] Nvidia Triton Inference Server:
https://github.com/triton-inference-server/server/
[GIT] Blurry faces: Training, Optimizing and Deploying a segmentation model on Amazon SageMaker with NVIDIA TensorRT and NVIDIA Triton - https://github.com/FraPochetti/KagglePlaygrounds/tree/master/triton_nvidia_blurry_faces

Subscribe:
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Google Podcasts:
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Spotify:
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TuneIn:
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In this episode, Dave chats with Francesco Pochetti, Senior Machine Language Engineer at Bolt, and an AWS Machine Learning Hero. Francesco covers his career start as a chemist, his journey into a career of Data Science, and how Computer Vision technology is handling some of the most difficult Machine Learning problems today.

Francesco on Twitter: https://twitter.com/Fra_Pochetti
Dave on Twitter: https://twitter.com/thedavedev

Francesco’s Website: https://francescopochetti.com/
Francesco’s LinkedIn: https://www.linkedin.com/in/francescopochetti/
Francesco’s GitHub: https://github.com/FraPochetti

[BLOG] Blurry faces: Training, Optimizing and Deploying a segmentation model on Amazon SageMaker with NVIDIA TensorRT and NVIDIA Triton: https://francescopochetti.com/blurry-faces-a-journey-from-training-a-segmentation-model-to-deploying-tensorrt-to-nvidia-triton-on-amazon-sagemaker/
[BLOG] Machine Learning and Developing inside a Docker Container in Visual Studio Code: https://francescopochetti.com/developing-inside-a-docker-container-in-visual-studio-code/
[BLOG] Deploying a Fashion-MNIST web app with Flask and Docker: https://francescopochetti.com/deploying-a-fashion-mnist-web-app-with-flask-and-docker/
[BLOG] IceVision meets AWS: detect LaTeX symbols in handwritten math and deploy with Docker on Lambda: https://francescopochetti.com/icevision-meets-aws-detect-latex-symbols-in-handwritten-math-and-deploy-with-docker-on-lambda/

[DOCS] Amazon Rekognition: https://aws.amazon.com/rekognition/
[DOCS] Amazon SageMaker: https://aws.amazon.com/sagemaker/
[DOCS] Amazon Textract: https://aws.amazon.com/textract/
[DOCS] Deploy fast and scalable AI with NVIDIA Triton Inference Server in Amazon SageMaker: https://aws.amazon.com/blogs/machine-learning/deploy-fast-and-scalable-ai-with-nvidia-triton-inference-server-in-amazon-sagemaker/

[GIT] Nvidia Triton Inference Server:
https://github.com/triton-inference-server/server/
[GIT] Blurry faces: Training, Optimizing and Deploying a segmentation model on Amazon SageMaker with NVIDIA TensorRT and NVIDIA Triton: https://github.com/FraPochetti/KagglePlaygrounds/tree/master/triton_nvidia_blurry_faces

Subscribe:
Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast
Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669
Google Podcasts:
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Spotify:
https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI
TuneIn:
https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/
RSS Feed:
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In part two, Dave and Emily continue their chat with Matty Stratton. If you missed it, please listen to part one of this conversation in Episode 043. Matt is a Staff Developer Advocate at Pulumi, founder and co-host of the popular Arrested DevOps podcast, and the global chair of the DevOpsDays set of conferences. He is a well-known international speaker and brings over 20 years of IT Operations experience. Matt recants the early days of DevOps, shares more tech history, and offers an exciting look at what is yet to come for the industry.

Matt on Twitter: https://twitter.com/mattstratton
Emily on Twitter: https://twitter.com/editingemily
Dave on Twitter: https://twitter.com/thedavedev

Matt’s Website: https://matty.wtf/
Matt’s Podcast – Arrested DevOps: https://www.arresteddevops.com
Matt on Twitch – DevOps Party Games: https://www.twitch.tv/devopspartygames
Matt on LinkedIn: https://www.linkedin.com/in/mattstratton/
Matt’s Presentations and Upcoming Speaking Events: https://speaking.mattstratton.com/


Subscribe:
Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast
Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669
Google Podcasts:
https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz
Spotify:
https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI
TuneIn:
https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/
RSS Feed:
https://feeds.soundcloud

In this episode, Dave and Emily chat with Matty Stratton. Matt is a Staff Developer Advocate at Pulumi, founder and co-host of the popular Arrested DevOps podcast, and the global chair of the DevOpsDays set of conferences. He is a well-known international speaker and brings over 20 years of IT Operations experience. Matt walks through his journey to the cloud, the early days of DevOps, the creation of DevOps days, and thought stuff on the current state of DevOps.

Matt on Twitter: https://twitter.com/mattstratton
Emily on Twitter: https://twitter.com/editingemily
Dave on Twitter: https://twitter.com/thedavedev

Matt’s Website: https://matty.wtf/
Matt’s Podcast – Arrested DevOps: https://www.arresteddevops.com
Matt on Twitch – DevOps Party Games: https://www.twitch.tv/devopspartygames
Matt on LinkedIn: https://www.linkedin.com/in/mattstratton/
Matt’s Upcoming Speaking Events: https://speaking.mattstratton.com/

Subscribe:
Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast
Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669
Google Podcasts:
https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz
Spotify:
https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI
TuneIn:
https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/
RSS Feed:
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In this episode, Dave and Emily chat with Lynn Langit, a Cloud Architect, Teacher, and AWS Data Hero. Lynn walks through her journey to the cloud, understanding the need for different types of data, gives an excellent overview of the different AWS Data Services, and how you can get started choosing the right one for your needs.

Lynn on Twitter: https://twitter.com/lynnlangit
Emily on Twitter: https://twitter.com/editingemily
Dave on Twitter: https://twitter.com/thedavedev

Lynn on LinkedIn: https://www.linkedin.com/in/lynnlangit/
Lynn’s Blog: https://lynnlangit.com/
Lynn on Medium: https://lynnlangit.medium.com/
Lynn’s AWS Data Hero Profile: https://aws.amazon.com/developer/community/heroes/lynn-langit/

[Training] Lynn’s AWS Data Services LinkedIn Learning Course: https://www.linkedin.com/learning/amazon-web-services-data-services-2/scalable-data-solutions-on-aws
[Git] Lynn’s AWS Data Services Course on Github: https://github.com/lynnlangit/Hello-AWS-Data-Services
[Git] AWS Open Guide on GitHub: https://github.com/open-guides/og-aws
[Medium] Cloud-native Hello World for Bioinformatics: https://lynnlangit.medium.com/cloud-native-hello-world-for-bioinformatics-9cfabf2dd389
[Book] Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement: https://www.amazon.com/Seven-Databases-Weeks-Modern-Movement-ebook-dp-B07CYLX6FD/dp/B07CYLX6FD
[AWS Service] Amazon HealthLake: https://aws.amazon.com/healthlake/
[AWS Service] AWS Timestream: https://aws.amazon.com/timestream
[Training] Lynn’s Course on Cloud Quantum Computing Essentials: https://www.linkedin.com/learning/cloud-quantum-computing-essentials/creating-solutions-with-cloud-quantum-computing

Subscribe:
Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast
Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669
Google Podcasts:
https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz
Spotify:
https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI
TuneIn:
https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/
RSS Feed:
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