AWS For Product Teams: Build, Ship & Scale On The Cloud Episodes

https://youtube.com/playlist?list=PLAF4GnLQ35DmHMLgD0uuN2fk4PdU_LoDT&si=UJ4BgzHSiJAUkPAn Most AWS courses teach services. This series teaches you how to build a product. In this overview episode of AWS for Product Teams, we i...

Shipping features is only half the job. The teams that build lasting products are the ones who own what they ship: in production under load during incidents and at 2 a.m. on a holiday weekend. In Module 6, Episode 5 of AWS fo...

The true test of a product team is not launch day. It’s 3:07am during a Sev-1 outage. In Module 6, Episode 4 of AWS for Product Teams, we break down how modern SaaS teams handle incidents under pressure using: CloudWatch Alar...

Security is not a pre-launch checklist. It is a continuous operational discipline. In Module 6, Episode 3 of AWS for Product Teams, we break down how modern product teams secure production systems using: AWS WAF AWS Shield AW...

The real test of your architecture isn’t normal traffic. It’s what happens when: your launch succeeds your product goes viral your campaign works or thousands of users arrive all at once. In Module 6, Episode 2 of AWS for Pro...

You cannot operate what you cannot observe. In Module 6, Episode 1 of AWS for Product Teams, we break down how modern product teams build real production observability using: Amazon CloudWatch AWS X-Ray ServiceLens Structured...

Most AI demos look impressive for five minutes. Production AI products are different. They require: measurable outcomes evaluation systems observability hybrid architectures and relentless iteration after launch In Module 5, ...

Most AI product features fail for one reason: They’re treated like magic tricks instead of workflow systems. In Module 5, Episode 4 of AWS for Product Teams, we break down how to integrate AI into real production workflows us...

Most product teams should not start with custom machine learning. But eventually… some teams hit a wall where: pre-built APIs stop improving proprietary data becomes a competitive moat and AI accuracy becomes a business-criti...

Most AI product features do not require a custom model, a data science team, or months of ML infrastructure work. In Module 5, Episode 2 of AWS for Product Teams, we break down how to build production-ready AI features using:...

Adding AI to your product is easy. Adding the right AI feature for the right reason? That’s the hard part. In Module 5, Episode 1 of AWS for Product Teams, we break down how to build production-grade generative AI features us...

The best product teams don’t wait for quarterly reviews to discover problems. They build systems that surface signals automatically. In Module 4, Episode 5 of AWS for Product Teams, we break down how to create a modern, autom...

A dashboard nobody checks isn’t a dashboard. It’s a monument to good intentions. In Module 4, Episode 4 of AWS for Product Teams, we break down how to build AWS QuickSight dashboards that product teams actually use. This epis...

Your product already contains answers. The real challenge is building a system that lets your team find them quickly, cheaply, and at scale. In Module 4, Episode 3 of AWS for Product Teams, we break down how modern product te...

If you didn’t instrument your product correctly at launch… that missing data is gone forever. In Module 4, Episode 2 of AWS for Product Teams, we break down one of the highest-leverage capabilities in modern software products...

The database decision your team makes in month one can quietly shape your product roadmap for years. In Module 4, Episode 1 of AWS for Product Teams, we break down how product managers and developers should think about one of...

Most product teams think shipping code and releasing features are the same thing. They’re not. In Module 3, Episode 5 of AWS for Product Teams, we break down one of the most important modern product delivery concepts: 🚀 Featu...

“If staging doesn’t look like production… staging is lying to you.” And when that happens, your product pays the price. In Module 3, Episode 4 of AWS for Product Teams, we break down how to properly structure Dev, Staging, an...

Making releases predictable, automated, and smooth is the goal of any modern product team. In Module 3, Episode 3 of AWS for Product Teams, we show you how to wire together an end-to-end CI/CD pipeline using AWS CodePipeline....

Shipping software reliably and fast requires more than just writing code—it requires automation, testing, and alignment across your product team. In Module 3, Episode 2 of AWS for Product Teams, we break down AWS CodeBuild an...

Shipping software fast without breaking production is hard. In Module 3, Episode 1 of AWS for Product Teams, we show how to build a production-ready CI/CD pipeline on AWS that aligns PMs and developers, reduces risk, and acce...

Most product delays are not caused by bad engineers. And most architecture failures are not caused by bad product managers. They happen because: 👉 PMs and Developers are solving different problems without shared context. In M...

hy do engineering teams keep repeating the same architecture debates? Why does every new engineer eventually ask: “Why was this built this way?” And why do incidents become exponentially harder when the people who made the or...

Your API architecture decisions become product decisions faster than most teams realize. In Module 2, Episode 3 of AWS for Product Teams, we break down one of the most important architecture conversations in modern cloud syst...