AWS Bites AWS Bites

In this episode, we share expert opinions from AWS community leaders on their favorite announcements from re:Invent 2023, advice for those starting their cloud journey, predictions for the future of serverless, whether to go multi-cloud or not, and how AI will impact developers. Our guests provide insightful perspectives on getting hands-on experience, leveraging the AWS community, thinking through architectural decisions, and more.

AWS Bites is brought to you by fourTheorem, an Advanced AWS Partner. If you are moving to AWS or need a partner to help you go faster, check us out at fourtheorem.com !

In this episode, we mentioned the following resources.



Alex Kearns on Linkedin: https://www.linkedin.com/in/alexjameskearns/
AWS Console-to-Code (Preview) to generate code for console actions: https://aws.amazon.com/about-aws/whats-new/2023/11/aws-console-to-code-preview-generate-console-actions/
Emily Shea on Linkedin: https://www.linkedin.com/in/emshea/
Emily's talk: Getting started building serverless event-driven applications (SVS205): https://www.youtube.com/watch?v=1aTQI-Kqs2U
Ran Isenberg on Linkedin: https://www.linkedin.com/in/ranisenberg/
Ran's blog: https://www.ranthebuilder.cloud/
Maxime David on Linkedin: https://www.linkedin.com/in/maxday/
Danielle Heberling on Linkedin: https://www.linkedin.com/in/deeheber/
Jones Zachariah Noel N on Linkedin: https://www.linkedin.com/in/jones-zachariah-noel-n/
Sam Williams on Linkedin: https://www.linkedin.com/in/sam-complete-coding/
AJ Stuyvenberg on Linkedin: https://www.linkedin.com/in/aaron-stuyvenberg/
Faizal Khan on Linkedin: https://www.linkedin.com/in/faizal-khan/
Heitor Lessa on Linkedin: https://www.linkedin.com/in/heitorlessa/
Chris Williams on Linkedin: https://www.linkedin.com/in/chrisfwilliams/
Praneeta Prakash on Linkedin: https://www.linkedin.com/in/praneetaprakash/



Do you have any AWS questions you would like us to address?
Leave a comment here or connect with us on X, formerly Twitter:
- ⁠https://twitter.com/eoins⁠
- ⁠https://twitter.com/loige⁠

#aws #reinvent2023 #reinvent #networkingevents

Luciano and Eoin chat about Luciano's experience attending AWS re:Invent 2023 in Las Vegas for the first time. They talk about the massive scale of the event, logistical challenges getting around between venues, highlights from the keynotes and announcements, and tips for networking and getting the most out of re:Invent. Luciano shares his perspective on the AI focus, meeting people in real life after connecting online, rookie mistakes to avoid, and why re:Invent is worth the investment for anyone working in the AWS space.

AWS Bites is brought to you by fourTheorem, an Advanced AWS Partner. If you are moving to AWS or need a partner to help you go faster, check us out at fourtheorem.com !

In this episode, we mentioned the following resources.


- Amazon Q: https://aws.amazon.com/blogs/aws/introducing-amazon-q-a-new-generative-ai-powered-assistant-preview/

- Efi Merdler-Kravitz's talk on "Rustifying serverless" with AWS Lambda (YouTube): https://www.youtube.com/watch?v=Mdh_2PXe9i8

- ElastiCache Serverless for Redis and Memcached: https://aws.amazon.com/blogs/aws/amazon-elasticache-serverless-for-redis-and-memcached-now-generally-available/

- Throughput increase and dead letter queue redrive for SQS FIFO: https://aws.amazon.com/blogs/aws/announcing-throughput-increase-and-dead-letter-queue-redrive-support-for-amazon-sqs-fifo-queues/ - Step Functions Workflow Studio in AWS Application Composer: https://aws.amazon.com/blogs/aws/aws-step-functions-workflow-studio-is-now-available-in-aws-application-composer/

- Lambda scales 12x faster: https://aws.amazon.com/blogs/aws/aws-lambda-functions-now-scale-12-times-faster-when-handling-high-volume-requests/

- Step Function redrive from a failed state: https://aws.amazon.com/blogs/compute/introducing-aws-step-functions-redrive-a-new-way-to-restart-workflows/



Do you have any AWS questions you would like us to address?
Leave a comment here or connect with us on X, formerly Twitter:
- https://twitter.com/eoins
- https://twitter.com/loige

#aws #reinvent2023 #reinvent #networkingevents

In this episode, we discuss integration testing event-driven systems and explore AWS's new Integration Application Test Kit (IATK). We cover the challenges of testing events and common approaches like logging, end-to-end testing, and using temporary queues. We then introduce IATK, walk through how to use it for EventBridge testing, and share our experience trying out the X-Ray trace validation. We found IATK promising but still rough around the edges, though overall a useful addition to help test complex event flows.

💰 SPONSORS 💰

AWS Bites is brought to you by fourTheorem, an Advanced AWS Partner. If you are moving to AWS or need a partner to help you go faster, check us out at ⁠⁠⁠⁠fourtheorem.com⁠⁠⁠⁠!



In this episode, we mentioned the following resources:


sls-test-tools on GitHub: https://github.com/aleios-cloud/sls-test-tools
Sarah Hamilton’s article on Integration testing and how to use sls-test-tool: https://medium.com/serverless-transformation/bridge-integrity-integration-testing-strategy-for-eventbridge-based-serverless-architectures-b73529397251
Our previous episode on building a cross-account Event Bridge deployment: https://awsbites.com/39-how-do-you-build-a-cross-account-event-backbone-with-eventbridge/
Our IATK tests for the cross-account Event Bridge project: https://github.com/fourTheorem/cross-account-eventbridge/blob/main/test/integration/test_events.py
IATK tutorial: https://awslabs.github.io/aws-iatk/tutorial/
IATK examples: https://awslabs.github.io/aws-iatk/tutorial/examples/retrieve_cfn_info/



You can listen to AWS Bites wherever you get your podcasts:


Apple Podcasts:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://podcasts.apple.com/us/podcast/aws-bites/id1585489017⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/3Lh7PzqBFV6yt5WsTAmO5q⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Google: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy82YTMzMTJhMC9wb2RjYXN0L3Jzcw==⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Breaker:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.breaker.audio/aws-bites⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
RSS:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://anchor.fm/s/6a3312a0/podcast/rss

In this episode, we celebrate AWS Lambda's 9th birthday by taking a deep dive into Lambda runtimes. We discuss how Lambda works, compare official runtimes vs. custom runtimes, and explain when and why building a custom runtime might be worth the effort. We talk through how custom runtimes work, options for deploying them, and potential use cases where they could be beneficial over standard runtimes.

💰 SPONSORS 💰

AWS Bites is brought to you by fourTheorem, an Advanced AWS Partner. If you are moving to AWS or need a partner to help you go faster, check us out at ⁠⁠⁠fourtheorem.com⁠⁠⁠!



In this episode, we mentioned the following resources:


The original announcement launching AWS Lambda in 2014: https://aws.amazon.com/about-aws/whats-new/2014/11/13/introducing-aws-lambda/
List of official Lambda runtimes: https://docs.aws.amazon.com/lambda/latest/dg/lambda-runtimes.html
Library implementing the Rust runtime: https://github.com/awslabs/aws-lambda-rust-runtime
Library implementing the Go runtime: https://github.com/aws/aws-lambda-go/
Library implementing the C++ runtime: https://github.com/awslabs/aws-lambda-cpp
Third-party PHP runtime (Bref): https://bref.sh/
Third-party Swift runtime: https://github.com/swift-server/swift-aws-lambda-runtime
Official documentation on how to build a custom runtime: https://docs.aws.amazon.com/lambda/latest/dg/runtimes-custom.html
An official tutorial on how to build a custom runtime: https://docs.aws.amazon.com/lambda/latest/dg/runtimes-walkthrough.html
List of all the environment variables available to a runtime: https://docs.aws.amazon.com/lambda/latest/dg/configuration-envvars.html#configuration-envvars-runtime
Lambda Response Streaming official docs: https://docs.aws.amazon.com/lambda/latest/dg/runtimes-custom.html#runtimes-custom-response-streaming
Our previous episode on Lambda Response Streaming: https://awsbites.com/77-how-do-you-use-lambda-response-streaming/
On-demand Container Loading in AWS Lambda (paper): https://arxiv.org/abs/2305.13162
Deep dive on container support for AWS Lambda (Eoin's article): https://dev.to/eoinsha/container-image-support-in-aws-lambda-deep-dive-2keh
When is the Lambda Init Phase Free, and when is it Billed? (article by Luc van Donkersgoed): https://lucvandonkersgoed.com/2022/04/09/when-is-the-lambda-init-phase-free-and-when-is-it-billed/⁠



You can listen to AWS Bites wherever you get your podcasts:


Apple Podcasts:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://podcasts.apple.com/us/podcast/aws-bites/id1585489017⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/3Lh7PzqBFV6yt5WsTAmO5q⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Google: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy82YTMzMTJhMC9wb2RjYXN0L3Jzcw==⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Breaker:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.breaker.audio/aws-bites⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
RSS:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://anchor.fm/s/6a3312a0/podcast/rss

In this episode, we discuss how we automated generating YouTube descriptions, chapters and tags for our podcast using Amazon's new GenAI tool: Bedrock.

We provide an overview of Bedrock's features and how we built an integration to summarize podcast transcripts and extract relevant metadata using the Anthropic Claude model. We share the prompt engineering required to instruct the AI, and details on our serverless architecture using Step Functions, Lambda, and EventBridge.

We also discussed Bedrock pricing models and how we built a real-time cost-monitoring dashboard. Overall, this automation saves us substantial manual effort while keeping costs low. We hope this episode inspires others to explore building their AI workflows with Bedrock.

💰 SPONSORS 💰

AWS Bites is brought to you by fourTheorem, an Advanced AWS Partner. If you are moving to AWS or need a partner to help you go faster, check us out at ⁠⁠fourtheorem.com⁠⁠!



In this episode, we mentioned the following resources:


The GitHub repository with the code for the AWS Bites website: https://github.com/awsbites/aws-bites-site
Episoder: the open source project we created to handle this Bedrock-based automation: https://github.com/fourTheorem/episoder
Podwhisperer: out other open source automation that creates accurate transcripts for our podcast: https://github.com/fourTheorem/podwhisperer/
Amazon Bedrock Workshop: https://catalog.us-east-1.prod.workshops.aws/workshops/a4bdb007-5600-4368-81c5-ff5b4154f518/en-US
Using generative AI on AWS for diverse content types (workshop): https://catalog.workshops.aws/genai-on-aws/en-US/01-introduction
Deploying a Multi-Model and Multi-RAG Powered Chatbot Using AWS CDK on AWS: https://github.com/aws-samples/aws-genai-llm-chatbot/tree/main



You can listen to AWS Bites wherever you get your podcasts:


Apple Podcasts:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://podcasts.apple.com/us/podcast/aws-bites/id1585489017⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/3Lh7PzqBFV6yt5WsTAmO5q⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Google: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy82YTMzMTJhMC9wb2RjYXN0L3Jzcw==⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Breaker:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.breaker.audio/aws-bites⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
RSS:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://anchor.fm/s/6a3312a0/podcast/rss

In this episode, we have the pleasure of speaking with Jeremy Daly, CEO of Ampt and a leader in the AWS and serverless community. We discuss Jeremy's journey into AWS and serverless, the prolific open source work and content he creates, the evolution of serverless over the years, common myths about serverless, and, finally, the story behind building Ampt to improve the developer experience. Jeremy provides his perspective on the state of serverless and predictions for the future and it also gives some fantastic pieces of advice for wannabe tech-entrepreneurs!

💰 SPONSORS 💰

AWS Bites is brought to you by fourTheorem, an Advanced AWS Partner. If you are moving to AWS or need a partner to help you go faster, check us out at ⁠fourtheorem.com⁠!



In this episode, we mentioned the following resources:


Serverless Microservice patterns for AWS (article by Jeremy): https://www.jeremydaly.com/serverless-microservice-patterns-for-aws/
Datadog research: The state of Serverless: https://www.datadoghq.com/state-of-serverless/
Bref: serverless runtime for PHP: https://bref.sh/
Ampt original announcement blog post: https://www.serverless.com/blog/serverless-cloud-spins-off-as-ampt
Our previous episode on Ampt: https://awsbites.com/100-exploring-ampt-a-new-way-to-build-cloud-apps-on-aws/
Long-running tasks and smart compute with Ampt: https://getampt.com/blog/introducing-long-running-tasks/
Ampt official website: https://getampt.com/
Jeremy's official website: https://www.jeremydaly.com/
Jeremy on X (ergo Twitter): https://twitter.com/jeremy_daly
Jeremy's newsletter "Off-by-none": https://offbynone.io/



You can listen to AWS Bites wherever you get your podcasts:


Apple Podcasts:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://podcasts.apple.com/us/podcast/aws-bites/id1585489017⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/3Lh7PzqBFV6yt5WsTAmO5q⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Google: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy82YTMzMTJhMC9wb2RjYXN0L3Jzcw==⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
Breaker:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.breaker.audio/aws-bites⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠
RSS:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://anchor.fm/s/6a3312a0/podcast/rss