The AWS Developers Podcast

In this episode, Dave chats with Danilo Poccia, Chief Evangelist, EMEA at Amazon

Web Services. Danilo shares his journey from online trainer, solutions architect, to the

Chief Evangelist at AWS for EMEA. Amazon Web Services is focused on powering all operations

with 100% renewable energy by 2025 and committed to achieving Amazon's goal of net-zero

carbon by 2040. Danilo shares what this initiative means from a developer perspective,

including specific advice across AWS services, and the importance of observability to

understand the sustainability of your own modern applications.

Danilo on Twitter: https://twitter.com/danilop

Danilo on LinkedIn: https://www.linkedin.com/in/dpoccia/

Danilo’s Website: https://www.danilop.net/

[PORTAL] Sustainability at AWS and Across Amazon: https://aws.amazon.com/sustainability

[PORTAL] Sustainability Resources: https://aws.amazon.com/sustainability/resources

[PORTAL] Sustainability in the Cloud:

https://sustainability.aboutamazon.com/environment/the-cloud

[YOUTUBE] AWS re:Invent 2021 - Architecting for Sustainability: https://youtu.be/3-Zq2W1-odU

[YOUTUBE] AWS re:Invent 2021 - Sustainability in AWS Global Infrastructure:

https://youtu.be/Dmz45WhXENs

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In part two, Dave and Emily continue their conversation with Ali Spittel, head of

developer advocacy for AWS Amplify at Amazon. Ali covers the general availability release of

Amplify Studio, the history behind the service, and how it can help designer and developers

work better together. She also discusses the role of developer advocacy, social media, and

the trio shares some of the history behind early developer relations. As part of this

conversation, Ali announced the AWS Amplify Hackathon running the entire month of September

and giving developers a chance to win both cash prizes and AWS swag! If you missed it, you

can listen to part one of this conversation in Episode 050.

Ali on Twitter: twitter.com/ASpittel

Emily on Twitter: twitter.com/editingemily

Dave on Twitter: twitter.com/thedavedev

[HACKATHON] AWS Amplify Hackathon - running September 1st-30th, 2022 - Win up to $1000, and

AWS Free Credits!

https://bit.ly/amplifyhackathon

[PODCAST] Ali's Ladybug Podcast: https://www.ladybug.dev

[PODCAST] AWS Developers Podcast - Episode 030 - AWS Amplify Hosting with Nikhil

Swaminathan:

https://soundcloud.com/awsdevelopers/episode-030-aws-amplify-hosting-with-nikhil-swaminathan

[PODCAST] AWS Developers Podcast - Episode 026 - AWS AppSync with Brice Pelle:

https://soundcloud.com/awsdevelopers/episode-026-aws-appsync-with-brice-pelle

PODCAST] AWS Developers Podcast - Episode 020 - AWS Amplify Geo with Harshita Daddala:

https://soundcloud.com/awsdevelopers/episode-020-aws-amplify-geo-with-harshita-daddala

AWS Amplify on Twitter: https://twitter.com/awsamplify

AWS Amplify on Github: https://github.com/aws-amplify

AWS Amplify: https://docs.amplify.aws/

Amplify Discord Server: https://discord.gg/amplify

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In this episode Emily and Dave catch up with Ali Spittel, head of developer

advocacy for AWS Amplify at Amazon. Ali covers the general availability release of Amplify

Studio, the history behind the service, and how it is helping designer and developers work

better together. She also covers how the Amplify team works directly with the community to

shape the product, and announces the AWS Amplify Hackathon. This hackathon will be running

the entire month of September and giving developers a chance to win both cash prizes and AWS

swag!

Ali on Twitter: twitter.com/ASpittel

Emily on Twitter: twitter.com/editingemily

Dave on Twitter: twitter.com/thedavedev

[HACKATHON] AWS Amplify Hackathon - running September 1st-30th, 2022 - Win up to $1000, and

AWS Free Credits!

https://bit.ly/amplifyhackathon

[PODCAST] Ali's Ladybug Podcast: https://www.ladybug.dev

[PODCAST] AWS Developers Podcast - Episode 030 - AWS Amplify Hosting with Nikhil

Swaminathan:

https://soundcloud.com/awsdevelopers/episode-030-aws-amplify-hosting-with-nikhil-swaminathan

[PODCAST] AWS Developers Podcast - Episode 026 - AWS AppSync with Brice Pelle:

https://soundcloud.com/awsdevelopers/episode-026-aws-appsync-with-brice-pelle

PODCAST] AWS Developers Podcast - Episode 020 - AWS Amplify Geo with Harshita Daddala:

https://soundcloud.com/awsdevelopers/episode-020-aws-amplify-geo-with-harshita-daddala

AWS Amplify on Twitter: https://twitter.com/awsamplify

AWS Amplify on Github: https://github.com/aws-amplify

AWS Amplify: https://docs.amplify.aws/

Amplify Discord Server: https://discord.gg/amplify

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In this episode, Dave and Emily chat with Linda Haviv, a Developer Advocate at

Amazon Web Services. Linda has a large social media following on both TikTok and Instagram,

where she covers numerous AWS and cloud concepts, offers advice to people looking to start a

cloud career, and highlights many other members of the developer community. Linda shares her

journey from being a full-time journalist, how she found a love a tech, and the decision she

made to start a developer career. She offers plenty of advice to new developers ramping up,

the importance of meetups and community, as well as tips for passing AWS certifications.

Linda on Twitter: https://twitter.com/lindavivah

Linda on TikTok: https://www.tiktok.com/@lindavivah

Linda on Instagram: https://www.instagram.com/lindavivah/

Linda’s Medium: https://medium.com/@LindaVivah

Linda’s Website: https://lindavivah.com/

Emily on Twitter: https://twitter.com/editingemily

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

[BLOG] What is AWS in 60 secs:

https://medium.com/@LindaVivah/what-is-aws-in-60-seconds-ec88edaa750c

[BLOG] Linda’s Working from Home Setup: https://lindavivah.com/my%20wfh%20setup

[BLOG] Six Years Later: Was Flatiron School Worth It for Linda

https://www.coursereport.com/blog/six-years-later-was-flatiron-school-worth-it-for-linda

Credits - Frozen 2 - Into the Unknown Clip – Performed by Peter Hollens

https://www.youtube.com/watch?v=XpC9r3TspCI

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In this episode, Dave and Emily chat with Troy Ameigh, Sr. Partner Solutions

Architect, and Dave May, Partner Solutions Architect who both work on the Integration and

Automation Team at AWS (I&A). The AWS I&A team is responsible for building Quik

Starts, which are automated reference deployments using AWS Services. These Quick Starts

help customers deploy popular technologies on AWS according to AWS best practices and can

reduce deployments from hundreds of manual procedures to just a few steps.

Troy on GitHub: https://github.com/troy-ameigh

Troy on LinkedIn: www.linkedin.com/in/troy-ameigh

Dave on GitHub: https://github.com/davmayd

Dave on LinkedIn: https://www.linkedin.com/in/maydave/

[BLOG] AWS I&A Team Blog - https://aws.amazon.com/blogs/infrastructure-and-automation

[CONTACT] Email - [email protected]

[DOCS] I&A Team Terraform Standards - https://aws-ia.github.io/standards-terraform/

[DOCS] AWS Quick Start Catalog - https://aws.amazon.com/quickstart

[DOCS] AWS Quick Start FAQ - https://aws.amazon.com/quickstart/faq

[DOCS] AWS Quick Start Contributor’s Guide - https://aws-quickstart.github.io

[DOCS] AWS Quick Start Self-Paced Workshop - https://workshop.quickstart.awspartner.com

[GIT] AWS Quick Starts - https://github.com/aws-quickstart

[GIT] AWS I&A Team - https://github.com/aws-ia

[TECH HISTORY] VAX: https://en.wikipedia.org/wiki/VAX

[TOOLS] TaskCat testing tool - http://taskcat.io

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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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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

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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

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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/

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TuneIn:

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RSS Feed:

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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/

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