🦸 Community Superhero

Our community superhero this week is Elizabeth Fuentes. Eli is an AWS Developer Advocate from Chile, she is actively engaged with the community across every medium, LinkedIn, Slack, Discord… even WhatsApp! She is EVERYWHERE, sharing her incredible knowledge around AI services and always helping everybody step up their game. Eli, we really appreciate all that you do for the community.

💯 Spotlight

Ever since Lambda MicroVMs were introduced a couple of weeks ago, I’ve seen a lot of great content around it. I really enjoyed this post by Luc van Donkersgoed, where he used them as self-hosted GitHub runners and gives us a clear rundown of the pros and cons of managing your own MicroVMs versus relying on GitHub’s managed infrastructure.

🔥 My Favorite Content

I love that we keep getting newer and smarter models every day. But keeping track of how they differ and how they affect your specific workloads, is getting really hard. This is why I really appreciate posts like this one by Guille Ojeda, where he goes through the Claude Sonnet 5 Launch Analysis: What Changed, What Matters, and What to Validate. He boils down the highlights for the new model and, more importantly, how it affects different types of workloads and where you should focus your testing.

Whenever I think about micro-frontends Luca Mezzalira comes to mind. Luca brings over 10 years of great architectural practices and has condensed that knowledge into an agent skill that can really help teams start correctly when designing and building micro-frontends. His post, Ten years of micro-frontend decisions, condensed into a skill, goes into detail on how you and your team can leverage this skill.

I’ve recently built an email pipeline for user sign-ups for an application I’m working on, and I completely agree with Lee Gilmore that there is a lot more behind these types of workflows than simply calling a sendEmail function. In his post Architecting a Scalable, Reliable Email Service with EventBridge, SQS, SES and MJML on Serverless, he goes into great detail on building an email pipeline that handles timing and delivery using serverless AWS services. Posts like this are refreshing, we don’t get enough deep dives into real-world problems these days, with so much of the content landscape dominated by micro-posts about AI and agents.

💡 Tip of the Week

If you’ve ever tried to plan for AWS re:Invent you know it can be very stressful and tedious. Raphael Manke built the Unofficial AWS re:Invent Planner a few years ago, reducing the stress and helping you get creative with your schedules for the conference. This year it’s back, so sign up and start planning for your AWS re:Invent week!

Last Words

I can’t believe it’s been almost a year since I last authored a newsletter for Ready, Set, Cloud! This can only mean one thing, Allen, you’ve got to take more vacations!!

As we keep navigating this new AI world I want to remind everyone, you are not behind! We are all overwhelmed with so much information and it is really hard to keep up. It’s the same as it’s always been with all AWS services, there is no way you can possibly be proficient on every one of these, and the same is true for AI functionality, models, and frameworks. Stay calm and continue doing what you are doing. Reading this newsletter is already a great step to staying current on everything that is new.

Until next time!

Andres